ORCID Profile
0000-0001-5083-9320
Current Organisation
University of Technology Sydney
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Research Topics
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Top 5 Research Topics
ANZSRC Field of Research (FoR)
Structural Engineering | Civil Engineering | Structural engineering | Civil engineering | Construction Engineering | Infrastructure Engineering and Asset Management | Construction Materials | Structural dynamics |
ANZSRC Socio-Economic Objective (SEO)
Expanding Knowledge in Engineering | Cement and Concrete Materials | Metals (e.g. Composites, Coatings, Bonding) | Civil Construction Processes | Civil Construction Design | Environmentally Sustainable Construction not elsewhere classified | Road Infrastructure and Networks | Ground Transport not elsewhere classified | Expanding Knowledge in Built Environment and Design
Related Links
Publications
Design S-N curves for T-, K-, and X-concrete-filled steel tubular joints
Publisher: ISEC Press
Date: 11-2015
DOI: 10.14455/ISEC.RES.2015.93
Abstract: High stress concentration at the weld vicinity in welded steel tubular joints results in fatigue failure. Researchers have tried finding an effective method to reduce these stresses. Although concrete filling of the steel tubes has been used to reduce stresses at the joints in the recent two decades, the fatigue performance of concrete filled tubular joints is not yet fully understood. This paper summarizes research on the fatigue strength of concrete-filled steel tubular T-, K-, and X-joints. Based on available experimental results, the nominal stress and hot spot stress design S-N curves for concrete-filled steel tubular joints have been derived. The least squares method is used in the derivation of the design S-N curves according to the American Society for Testing and Materials (ASTM) specifications.
Structural damage detection from wavelet packet sensitivity
Publisher: Elsevier BV
Date: 08-2200
System parameter identification from projection of inverse analysis
Publisher: Elsevier BV
Date: 05-2017
Spectral Element Model Updating for Damage Identification Using Clonal Selection Algorithm
Publisher: SAGE Publications
Date: 10-2011
DOI: 10.1260/1369-4332.14.5.837
Abstract: A spectral element model updating procedure is presented to identify damage in a structure using Guided wave propagation results. Two damage spectral elements (DSE1 and DSE2) are developed to model the local (cracks in reinforcement bar) and global (debonding between reinforcement bar and concrete) damage in one-dimensional homogeneous and composite waveguide, respectively. Transfer matrix method is adopted to assemble the stiffness matrix of multiple spectral elements. In order to solve the inverse problem, clonal selection algorithm is used for the optimization calculations. Two displacement-based functions and two frequency-based functions are used as objective functions in this study. Numerical simulations of wave propagation in a bare steel bar and in a reinforcement bar without and with various assumed damage scenarios are carried out. Numerically simulated data are then used to identify local and global damage of the steel rebar and the concrete-steel interface using the proposed method. Results show that local damage is easy to be identified by using any considered objective function with the proposed method while only using the wavelet energy-based objective function gives reliable identification of global damage. The method is then extended to identify multiple damages in a structure. To further verify the proposed method, experiments of wave propagation in a rectangular steel bar before and after damage are conducted. The proposed method is used to update the structural model for damage identification. The results demonstrate the capability of the proposed method in identifying cracks in steel bars based on measured wave propagation data.
Vehicle axle loads identification using finite element method
Publisher: Elsevier BV
Date: 07-2004
Moving Loads - Dynamic Analysis and Identification Techniques, Structures and Infrastructures Book Series, Vol. 8
Publisher: CRC Press
Date: 18-02-2011
DOI: 10.1201/B10561
Moving load identification on a simply supported orthotropic plate
Publisher: Elsevier BV
Date: 11-2007
Environmental Factors Affecting the Dynamic Response of Composite Steel-Concrete Beams
Publisher: American Society of Civil Engineers
Date: 18-02-2013
Free vibration and damage identification of cracked functionally graded plates
Publisher: Elsevier BV
Date: 10-2020
Stochastic uncertainty quantification of seismic performance of complex large-scale structures using response spectrum method
Publisher: Elsevier BV
Date: 05-2021
Drive-by bridge parameter identification: an overview
Publisher: Springer Singapore
Date: 23-12-2021
Damage detection of reinforced concrete structures based on the wiener filter
Publisher: Informa UK Limited
Date: 2013
Enhanced drive‐by bridge modal identification via dual Kalman filter and singular spectrum analysis
Publisher: Hindawi Limited
Date: 26-01-2022
DOI: 10.1002/STC.2927
DAMAGE DETECTION OF RC SLABS USING NONLINEAR VIBRATION FEATURES
Publisher: World Scientific Pub Co Pte Lt
Date: 12-2009
DOI: 10.1142/S0219455409003247
Abstract: Studied herein are the signatures of nonlinear vibration characteristics of damaged reinforced concrete structures using the wavelet transform (WT). A two-span RC slab built in 2003 was tested to failure in the laboratory. Vibration measurements were carried out at various stages of structural damage. The vibration frequencies, mode shapes, and d ing ratios at each loading stage were extracted and analyzed. It is found that the vibration frequencies are not sensitive to small damages, but are good indicators when damage is severe. The dynamic responses are also analyzed in the time–frequency domain by WT and the skeleton curve is constructed to describe the nonlinear characteristics in the reinforced concrete structures. The results show that the skeleton curves are good indicators of damage in the reinforced concrete structures because they are more sensitive to small damages than vibration frequencies.
Vibrational power flow analysis of cracked functionally graded beams
Publisher: Elsevier BV
Date: 05-2020
Seismic performance analysis of a large-scale single-layer lattice dome with a hybrid three-directional seismic isolation system
Publisher: Elsevier BV
Date: 07-2020
Analytical Approach for Load-Carrying Capacity Evaluation of Tibetan Timber Beam-column Joint
Publisher: Informa UK Limited
Date: 17-06-2023
Guided wave propagation and spectral element method for debonding damage assessment in RC structures
Publisher: Elsevier BV
Date: 07-2009
Development of an integrated structural health monitoring system for bridge structures in operational conditions
Publisher: Springer Science and Business Media LLC
Date: 14-07-2012
Detection of delamination between steel bars and concrete using embedded piezoelectric actuators/sensors
Publisher: Springer Science and Business Media LLC
Date: 09-02-2013
A hybrid approach for parameter optimization of multiple tuned mass dampers in reducing floor vibrations due to occupant walking: Theory and parametric studies
Publisher: SAGE Publications
Date: 27-01-2017
Abstract: This article presents a hybrid approach for determining optimal parameters of multiple tuned mass d ers to reduce the floor vibration due to human walking. The proposed approach consists of two parts. The first one is a partial mode decomposition algorithm to efficiently calculate dynamic responses of the coupled floor–multiple tuned mass d er system subjected to moving walking loads. The second one is an adaptive genetic simulated annealing method for the optimization of multiple tuned mass d er parameters. To establish optimization, certain variables must be considered. These include the mass, natural frequency, and d ing ratio of each tuned mass d er in a multiple tuned mass d er system. The objective is to minimize floor responses and remove unreasonable requirements, such as uniform mass distribution and symmetric distribution of the tuned mass d er frequency. The proposed hybrid approach has successfully been applied to optimize the multiple tuned mass d er system to reduce the vibration of a long-span floor with closely spaced modes. By the hybrid approach, an extensive parametric study has been carried out. The results show that different walking load models and uncertainties in the dynamic properties of the floor and each tuned mass d er itself can affect the overall performance of the multiple tuned mass d er system. The proposed hybrid optimization approach is very effective and the resulting multiple tuned mass d er system is robust in reducing floor vibrations under various conditions.
Dynamic assessment of shear connection conditions in slab-girder bridges by Kullback-Leibler distance
Publisher: SAGE Publications
Date: 05-2012
DOI: 10.1260/1369-4332.15.5.771
Abstract: Shear connectors are widely used in composite bridges that provide composite action. Their damage will reduce the load-carrying capacity of the structure. In this study, a novel method based on Kullback-Leibler distance (KLD) was developed to assess the integrity of the shear connectors. A bridge model was constructed in the laboratory and some removable anchors were specially designed and fabricated to link the beams and slab that were cast separately. Each anchor consists of a threaded bar that penetrates through the soffit of the beam and ties up into an embedded nut cap to simulate a shear connector in the real bridges. Different damage scenarios were introduced by pulling out some connectors. Vibration tests were carried out in each damage scenario. Various damage detection methods have been applied and results show that the method was able to detect all the assumed damage scenarios successfully and consistently.
Evaluation of dynamic vehicle axle loads on bridges with different surface conditions
Publisher: Elsevier BV
Date: 06-2009
Moving load identification on multi-span continuous bridges with elastic bearings
Publisher: Elsevier BV
Date: 10-2006
Preface
Publisher: Springer Science and Business Media LLC
Date: 05-2013
Nonlinear characteristics of damaged reinforced concrete beam from Hilbert-Huang transform
Publisher: American Society of Civil Engineers (ASCE)
Date: 08-2007
Condition assessment of heritage timber buildings in operational environments
Publisher: Springer Science and Business Media LLC
Date: 09-2017
Measurement System with Accelerometer Integrated RFID Tag for Infrastructure Health Monitoring
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 05-2016
A Hybrid Approach for the Dynamic Instability Analysis of Single-Layer Latticed Domes with Uncertainties
Publisher: World Scientific Pub Co Pte Lt
Date: 22-03-2021
DOI: 10.1142/S0219455421500826
Abstract: Currently, there is no unified criterion to evaluate the failure of single-layer latticed domes, and an accurate nonlinear time-history analysis (NTHA) is generally required however, this does not consider the uncertainties found in practice. The seismic instability of domes subjected to earthquake ground motions has not been thoroughly investigated. In this paper, a new approach is developed to automatically capture the instability points in the incremental dynamic analysis (IDA) of single-layer lattice domes by integrating different efficient and robust methods. First, a seismic fragility analysis with instability parameters is performed using the bootstrap calibration method for the perfect dome. Second, based on the Sobol sequence, the quasi-Monte Carlo (QMC) s ling method is used to efficiently calculate the failure probability of the dome with uncertain parameters, in which the truncated distributions of random parameters are considered. Third, the maximum entropy principle (MEP) method is used to improve the computational efficiency in the analyses of structures with uncertainties. Last, the uncertain interval of the domes is determined based on the IDA method. The proposed method has been used to investigate the instability of single-layer lattice domes with uncertain parameters. The results show that it can determine the probability of structural failure with high efficiency and reliability. Additionally, the limitations of the proposed method for parallel computation are discussed.
Condition assessment of shear connectors in slab-girder bridges via vibration measurements
Publisher: American Society of Civil Engineers (ASCE)
Date: 2008
Some special phenomena and preliminary interpretations about measured strain signals from high-speed impact tests
Publisher: Inderscience Publishers
Date: 2201
Non-intrusive schemes for speed and axle identification in bridge-weigh-in-motion systems
Publisher: IOP Publishing
Date: 11-01-2017
Nonlinear characteristics of damaged bridges under moving loads using parameter optimization variational mode decomposition
Publisher: Springer Science and Business Media LLC
Date: 21-06-2022
Debonding detection in a carbon fibre reinforced concrete structure using guided waves
Publisher: IOP Publishing
Date: 20-03-2019
A Two-Step Drive-By Bridge Damage Detection Using Dual Kalman Filter
Publisher: World Scientific Pub Co Pte Lt
Date: 09-2020
DOI: 10.1142/S0219455420420067
Abstract: Drive-by bridge inspection using acceleration responses of a passing vehicle has great potential for bridge structural health monitoring. It is, however, known that the road surface roughness is a big challenge for the practical application of this indirect approach. This paper presents a new two-step method for the bridge damage identification from only the dynamic responses of a passing vehicle without the road surface roughness information. A state-space equation of the vehicle model is derived based on the Newmark-[Formula: see text] method. In the first step, the road surface roughness is estimated from the dynamic responses of a passing vehicle using the dual Kalman filter (DKF). In the second step, the bridge damage is identified based on the interaction force sensitivity analysis with Tikhonov regularization. A vehicle–bridge interaction model with a wireless monitoring system has been built in the laboratory. Experimental investigation has been carried out for the interaction force and bridge surface roughness identification. Results show that the proposed method is effective and reliable to identify the interaction force and bridge surface roughness. Numerical simulations have also been conducted to study the effectiveness of the proposed method for bridge damage detection. The vehicle is modeled as a 4-degrees-of-freedom half-car and the bridge is modeled as a simply-supported beam. The local bridge damage is simulated as an elemental flexural stiffness reduction. Effects of measurement noise, surface roughness and vehicle speed on the identification are discussed.The results show that the proposed drive-by inspection strategy is efficient and accurate for a quick review on the bridge conditions.
Time-dependent behaviour of composite beams with blind bolts under sustained loads
Publisher: Elsevier BV
Date: 09-2015
Singular spectrum analysis for enhancing the sensitivity in structural damage detection
Publisher: Elsevier BV
Date: 2014
Identification of moving interaction forces with incomplete velocity information
Publisher: Elsevier BV
Date: 11-2003
Regularization in moving force identification
Publisher: American Society of Civil Engineers (ASCE)
Date: 02-2001
Crack identification of functionally graded beams using continuous wavelet transform
Publisher: Elsevier BV
Date: 02-2019
Identification of vehicle axle loads from bridge dynamic responses
Publisher: Elsevier BV
Date: 09-2000
Bolted and welded connectors for the rehabilitation of composite beams
Publisher: Elsevier BV
Date: 10-2016
Wavelet-based crack identification of bridge beam from operational deflection time history
Publisher: Elsevier BV
Date: 04-2006
Compressive sensing for structural damage detection of reinforced concrete structures
Publisher: Trans Tech Publications, Ltd.
Date: 07-2013
DOI: 10.4028/WWW.SCIENTIFIC.NET/KEM.569-570.742
Abstract: High energy consumption, excessive data storage and transfer requirements are prevailing issues associated with structural health monitoring (SHM) systems, especially with those employing wireless sensors. Data compression is one of the techniques being explored to mitigate the effects of these issues. Compressive sensing (CS) introduces a means of reproducing a signal with a much less number of s les than the Nyquist's rate, reducing the energy consumption, data storage and transfer cost. This paper explores the applicability of CS for SHM, in particular for damage detection and localization. CS is implemented in a simulated environment to compress SHM data. The reconstructed signal is verified for accuracy using structural response data obtained from a series of tests carried out on a reinforced concrete (RC) slab. Results show that the reconstruction was close, but not exact as a consequence of the noise associated with the responses. However, further analysis using the reconstructed signal provided successful damage detection and localization results, showing that although the reconstruction using CS is not exact, it is sufficient to provide the crucial information of the existence and location of damage.
Time-varying wind load identification from structural responses
Publisher: Elsevier BV
Date: 08-2005
A layered beam element for modeling de-bonding of steel bars in concrete and its detection using static measurements
Publisher: Hindawi Limited
Date: 29-01-2018
DOI: 10.1002/STC.2142
Dynamic axle and wheel loads identification: laboratory studies
Publisher: Elsevier BV
Date: 12-2003
Dynamic behavior of orthotropic rectangular plates under moving loads
Publisher: American Society of Civil Engineers (ASCE)
Date: 2003
Time-dependent performance of large-scale dome structures subjected to earthquakes using a machine learning-based evaluation method
Publisher: Elsevier BV
Date: 12-2022
Dynamic behavior of damaged concrete bridge structures under moving vehicular loads
Publisher: Elsevier BV
Date: 07-2004
Damaged cable identification in cable-stayed bridge from bridge deck strain measurements using support vector machine
Publisher: SAGE Publications
Date: 10-01-2022
DOI: 10.1177/13694332211049996
Abstract: A new two-step approach is developed for damaged cable identification in a cable-stayed bridge from deck bending strain responses using Support Vector Machine. A Damaged Cable Identification Machine (DCIM) based on support vector classification is constructed to determine the damaged cable and a Damage Severity Identification Machine (DSIM) based on support vector regression is built to estimate the damage severity. A field cable-stayed bridge with a long-term monitoring system is used to verify the proposed method. The three-dimensional Finite Element Model (FEM) of the cable-stayed bridge is established using ANSYS, and the model is validated using the field testing results, such as the mode shape, natural frequencies and its bending strain responses of the bridge under a moving vehicle. Then the validated FEM is used to simulate the bending strain responses of the longitude deck near the cable anchors when the vehicle is passing over the bridge. Different damage scenarios are simulated for each cable with various severities. Based on damage indexes vector, the training datasets and testing datasets are acquired, including single damaged cable scenarios and double damaged cable scenarios. Eventually, DCIM is trained using Support Vector Classification Machine and DSIM is trained using Support Vector Regression Machine. The testing datasets are input in DCIM and DSIM to check their accuracy and generalization capability. Different noise levels including 5%, 10%, and 20% are considered to study their anti-noise capability. The results show that DCIM and DSIM both have good generalization capability and anti-noise capability.
Damage analysis of steel-concrete composite beams under static loads
Publisher: EASD
Date: 2020
Dynamic load on continuous multi-lane bridge deck front moving vehicles
Publisher: Elsevier BV
Date: 04-2002
Multifunctional cementitious composites with integrated self-sensing and hydrophobic capacities toward smart structural health monitoring
Publisher: Elsevier BV
Date: 04-2021
Erratum: Singular spectrum analysis for enhancing the sensitivity in structural damage detection
Publisher: Elsevier BV
Date: 03-2014
Bridge Operational Modal Identification Using Sparse Blind Source Separation
Publisher: Springer Singapore
Date: 04-09-2020
Dynamic assessment of undersea pipeline bedding condition - art. no. 65321D
Publisher: SPIE
Date: 06-04-2007
DOI: 10.1117/12.714003
Transfer learning based bridge damage detection: Leveraging time-frequency features
Publisher: Elsevier BV
Date: 11-2023
Strengthening of existing composite steel-concrete beams utilising bolted shear connectors and welded studs
Publisher: Elsevier BV
Date: 11-2015
Time-varying characteristics of bridges under the passage of vehicles using synchroextracting transform
Publisher: Elsevier BV
Date: 06-2020
Practical aspects in moving load identification
Publisher: Elsevier BV
Date: 11-2002
Identification of Railway Ballasted Track Systems from Dynamic Responses of In-Service Trains
Publisher: American Society of Civil Engineers (ASCE)
Date: 09-2018
Damage detection of circular cylindrical shells by Ritz method
Publisher: IOP Publishing
Date: 19-07-2201
Parametric study and equation of the maximum SCF for concrete filled steel tubular T-joints under axial tension
Publisher: Elsevier BV
Date: 08-2018
A multi-way data analysis approach for structural health monitoring of a cable-stayed bridge
Publisher: SAGE Publications
Date: 30-08-2019
Abstract: A large-scale cable-stayed bridge in the state of New South Wales, Australia, has been extensively instrumented with an array of accelerometer, strain gauge, and environmental sensors. The real-time continuous response of the bridge has been collected since July 2016. This study aims at condition assessment of this bridge by investigating three aspects of structural health monitoring including damage detection, damage localization, and damage severity assessment. A novel data analysis algorithm based on incremental multi-way data analysis is proposed to analyze the dynamic response of the bridge. This method applies incremental tensor analysis for data fusion and feature extraction, and further uses one-class support vector machine on this feature to detect anomalies. A total of 15 different damage scenarios were investigated damage was physically simulated by locating stationary vehicles with different masses at various locations along the span of the bridge to change the condition of the bridge. The effect of damage on the fundamental frequency of the bridge was investigated and a maximum change of 4.4% between the intact and damage states was observed which corresponds to a small severity damage. Our extensive investigations illustrate that the proposed technique can provide reliable characterization of damage in this cable-stayed bridge in terms of detection, localization and assessment. The contribution of the work is threefold first, an extensive structural health monitoring system was deployed on a cable-stayed bridge in operation second, an incremental tensor analysis was proposed to analyze time series responses from multiple sensors for online damage identification and finally, the robustness of the proposed method was validated using extensive field test data by considering various damage scenarios in the presence of environmental variabilities.
Sensitivity Enhancement for Structural Condition Assessment with Noisy Excitation or with Only Output
Publisher: World Scientific Pub Co Pte Lt
Date: 17-06-2015
DOI: 10.1142/S0219455414500837
Abstract: Revisited herein is the response sensitivity method for structural condition assessment. The performance of a sensitivity enhancement technique for structural damage identification is discussed with reference to cases with noisy excitation or with only output. An extended study on the structural condition assessment is conducted based on a newly developed force identification technique and the response sensitivity enhancement method. Numerical simulations with a planar truss structure show that the adverse effect of noise in excitation cannot be ignored in damage detection. A two-step method including the sensitivity enhancement technique for damage detection could improve the identification accuracy with less influence from the identified excitations. The improved structural condition assessment with sensitivity enhancement technique out-performs the conventional sensitivity approach with more accurate results from the truss structure studied even with a 10% noise in the measured responses.
Dynamic behaviour of steel-concrete composite beams retrofitted with various bolted shear connectors
Publisher: Elsevier BV
Date: 2017
A bonding damage detection method with force-based beam element
Publisher: Elsevier BV
Date: 2011
Parametric study on concrete-filled steel tubular T-joints under axial load
Publisher: CRC Press
Date: 18-11-2017
Erratum: Explicit form of an implicit method for inverse force identification (Journal of Sound and Vibration (2013) 333:3 (730-744))
Publisher: Elsevier BV
Date: 03-2014
Displacement-dependent nonlinear damping model in steel buildings with bolted joints
Publisher: SAGE Publications
Date: 08-10-2201
Abstract: The stick–slip phenomenon is commonly found at structural connections in steel buildings. It is a major d ing mechanism in a structure with bolted joints and makes a significant contribution to the total structural d ing. This article reviews the stick–slip d ing model of an elastic single-degree-of-freedom system with one stick–slip component. It is observed that the d ing ratios of the system with the stick–slip mechanism first quickly increase when experiencing a very small displacement and then slowly decrease. After the number of activated slip surfaces is assumed to be a linear function related to the structural displacement, the equivalent d ing ratios of a structural system with numerous stick–slip components are derived. However, this displacement-dependent d ing model is very difficult to be used for a structural dynamic analysis due to its inherent complexity. Therefore, a new displacement-dependent d ing model for a structural dynamic analysis is proposed based on the viscous d ing. A high-rise steel moment resisting frame with bolted joints subjected to an earthquake ground motion is taken as an ex le to verify the proposed method.
Damage Detection of Composite Beams via Variational Mode Decomposition of Shear-Slip Data
Publisher: American Society of Civil Engineers (ASCE)
Date: 2023
Dynamic assessment of underwater pipeline systems using statistical model updating
Publisher: World Scientific Pub Co Pte Lt
Date: 06-2008
DOI: 10.1142/S021945540800265X
Abstract: This paper presents a statistical model updating technique for damage detection of underwater pipeline systems via vibration measurements. To verify the reliability of the method, laboratory tests of a scaled pipeline model were carried out in a towing tank. The model includes a plastic pipe and some removable springs which are designed and fabricated to link the pipe and the steel base to simulate the bedding conditions. Different damage scenarios, in terms of location and severity of scouring under the pipe, were simulated by removing one or several springs. The natural frequencies, d ing ratios and mode shapes of the pipeline system were extracted from the measured vibrations using a stochastic subspace identification technique. Both the numerical and the experimental results show that the method is effective and reliable in identifying the underwater pipeline bedding conditions and the damage in the pipe structure.
Fatigue behaviour of concrete-filled steel tubular joints - a review
Publisher: Inderscience Publishers
Date: 2016
Vibration of a beam with a breathing crack subject to moving mass
Publisher: Springer Netherlands
Date: 2006
EXPERIMENTAL STRESS CONCENTRATION FACTOR IN CONCRETE-FILLED STEEL TUBULAR T-JOINTS
Publisher: Elsevier BV
Date: 11-2018
Numerical Study on the Behaviour of Composite Steel-Concrete Beams Utilising Innovative Blind Bolts
Publisher: American Society of Civil Engineers
Date: 18-02-2013
A Steel-Concrete Composite Beam Element for Structural Damage Identification
Publisher: World Scientific Pub Co Pte Lt
Date: 03-2210
DOI: 10.1142/S0219455420420158
Abstract: The composite action between the layers of steel and concrete is governed by the shear connection. Because of the complicated interconnection behavior of these composite layers, it is difficult to detect damage in the composite structures, especially, the interfacial integrity of the two layers. In this paper, anovel method has been developed for structural damage identification of composite structures based on a steel-concrete composite beam element with bonding interface. In displacement-based finite element (FE) formulation, three damage indicators have been embedded into stiffness matrix of the composite beam that are defined as a stiffness reduction in the concrete, steel and interface layers. An algorithm-based on recursive quadratic programming has been proposed to identify structural damage in the composite beam from static measurements. The analytical FE model is validated by adapting its static responses in undamaged state with those obtained from an equal experimental model as well as a FE model developed in commercial software ABAQUS. A convergence study is conducted to determine the number of the composite beam FEs. To verify the proposed method, the static responses of the FE model with different damage cases at a given loading are calculated, and the measurements are simulated by adding different levels of white noise. Then, the proposed algorithm is applied to identify damage of the composite beam. The effects of measurement noise, loading location and litude, measurement numbers and the sizes of FE mesh on the identified results have been investigated. The numerical results show that this method is efficient and accurate to separately identify small damage in the concrete slab, and the steel girder and bonding interface of the composite beam.
Study on different beam models in moving force identification
Publisher: Elsevier BV
Date: 07-2000
Nonlinear dynamic analysis method for large-scale single-layer lattice domes with uncertain-but-bounded parameters
Publisher: Elsevier BV
Date: 2020
An experimental study on distributed damage detection algorithms for structural health monitoring
Publisher: IOP Publishing
Date: 19-07-2011
Experimental study on statistical damage detection of RC structures based on wavelet packet analysis
Publisher: IOP Publishing
Date: 19-07-2011
Orthogonal function in moving loads identification on a multi-span bridge
Publisher: Elsevier BV
Date: 08-2001
Characterization of the core properties of a shock absorbing composite
Publisher: ASME International
Date: 15-07-2007
DOI: 10.1115/1.2772323
Abstract: This paper is on the characterization of the mechanical properties of Newtonian-type shock absorbing elastomeric composites. This composite material is a blend of elastomeric capsules or beads in a matrix of a Newtonian liquid. The material can be considered as a liquid analogy to elastomeric foams. It exhibits bulk compression characteristics and acts like an elastic liquid during an impact, unlike elastic foams, which exhibit uniaxial compression characteristics. A test cell consisting of an instrumented metal cylinder and a piston was designed. A s le of the material was placed in the instrumented cylinder, which was located at the base of a drop test rig. A drop mass of 17.3kg was subsequently released from a desired height to impact the piston. From measurements of the acceleration histories of the drop mass and the piston, and from the displacement history of the piston, the force-displacement curves and the associated impact energies absorbed were derived. These are compared to the corresponding characteristics derived from measurements of pressure of the fluid medium inside the cylinder. The results are compared for blends of different bead types, and the different aspects contributing to their performance are discussed. It is shown that the performance curves derived from the accelerometer measurements matched those derived from the pressure measurements. Blends of this composite material of different types of beads showed distinctively different characteristics.
Numerical investigation of a proposed multidimensional isolator applied to large-scale domes subjected to earthquakes
Publisher: Elsevier BV
Date: 12-2023
Substructural condition assessment based on force identification and interface force sensitivity
Publisher: World Scientific Pub Co Pte Lt
Date: 03-02-2015
DOI: 10.1142/S0219455414500461
Abstract: Time domain substructural condition assessment method is actively researched in recent years to avoid the problem with uncertainties in the different components of the structure, boundary conditions and with an improved effort in the inverse computation. Since the interface force between substructures would vary with the existence of local damages and excitation in the substructures, existing condition assessment method for a full structure cannot be applied directly to the substructures. Also, most existing approaches adopt the state space method in the response prediction. However, the state space method can be shown in this paper inaccurate in the forward substructural dynamic analysis due to the discretization error, and therefore identification based on this method cannot give satisfactory result for a substructure. The force identification for a full structure based on the explicit Newmark-β method has been shown superior to the state space method [K. Liu et al., J. Sound Vibr.33(3) (2014) 730–744]. This method is extended in this paper for substructural interface force identification. The variation of interface forces between substructures with variation in the substructural condition is illustrated with a plane truss structure. Subsequent condition assessment based on substructural response sensitivity is proposed with the analytical derivation of the sensitivity taking into account the interface force sensitivity which is not small to be ignored. The new damage detection method based on the explicit Newmark-β method and the substructural response sensitivity is verified numerically with different damage scenarios in a plane truss structure giving satisfactory results.
Spectral Element Modelling of Wave Propagation with Boundary and Structural Discontinuity Reflections
Publisher: SAGE Publications
Date: 05-2012
DOI: 10.1260/1369-4332.15.5.855
Abstract: Spectral element method is very efficient in modelling high-frequency stress wave propagation because it works in the frequency domain. It does not need to use very fine meshes in order to capture high frequency wave energy as the time domain methods do, such as finite element method. However, the conventional spectral element method requires a throw-off element to be added to the structural boundaries to act as a conduit for energy to transmit out of the system. This makes the method difficult to model wave reflection at boundaries. To overcome this limitation, imaginary spectral elements are proposed in this study, which are combined with the real structural elements to model wave reflections at structural boundaries. The efficiency and accuracy of this proposed approach is verified by comparing the numerical simulation results with measured results of one dimensional stress wave propagation in a steel bar. The method is also applied to model wave propagation in a steel bar with not only boundary reflection, but also reflections from single and multiple cracks. The reflection and transmission coefficients, which are obtained from the discrete spring model, are adopted to quantify the discontinuities. Experimental tests of wave propagation in a steel bar with one crack of different depths are also carried out. Numerical simulations and experimental results show that the proposed method is effective and reliable in modelling wave propagation in one-dimensional waveguides with reflections from boundary and structural discontinuities. The proposed method can be applied to effectively model stress wave propagation for structural damage detection.
Vehicle condition surveillance on continuous bridges based on response sensitivity
Publisher: American Society of Civil Engineers (ASCE)
Date: 2006
Response analysis of piezoelectric shells in plane strain under random excitations
Publisher: Springer Science and Business Media LLC
Date: 04-2009
Indirect bridge modal parameters identification with one stationary and one moving sensors and stochastic subspace identification
Publisher: Elsevier BV
Date: 04-2019
Bridge modal identification based on successive variational mode decomposition using a moving test vehicle
Publisher: SAGE Publications
Date: 30-05-2022
DOI: 10.1177/13694332221092678
Abstract: Bridge modal identification using an instrumented test vehicle as a moving sensor is promising but challenging. A key factor is to extract bridge dynamic components from vehicle responses measured when the bridge is operating. A new method based on an advanced adaptive signal decomposition technique, the successive variational mode decomposition (SVMD), has been developed to estimate the bridge modal parameters from the dynamic responses of a passing test vehicle. When bridge-related dynamic components are extracted from the decomposition, the natural excitation technique and/or random-decrement technique based fitting methods are used to estimate the modal frequencies and d ing ratios of the bridge. Effects of measurement noise, moving speed and vehicle properties on the decomposition are investigated numerically. The superiority of SVMD in the decomposition is verified by comparing to another adaptive decomposition technique, the singular spectrum decomposition. The results of the proposed method confirm that the bridge modal frequencies can be identified from bridge related components with high accuracy, while d ing ratio is more sensitive to the random operational load. Finally, the feasibility of the proposed method for bridge monitoring using a moving test vehicle is further verified by an in-situ experimental test on a cable-stayed bridge. The components related to the bridge dynamic responses are successfully extracted from vehicle responses.
Bilinear connection stiffness identification of heritage timber buildings with limited strain measurements
Publisher: Elsevier BV
Date: 11-2201
Damage identification of supporting structures with a moving sensory system
Publisher: Elsevier BV
Date: 02-2018
Innovative bridge condition assessment from dynamic response of a passing vehicle
Publisher: American Society of Civil Engineers (ASCE)
Date: 12-2006
Characterization of carbon fiber reinforced polymer strengthened concrete and gap detection with a piezoelectric-based sensory technique
Publisher: SAGE Publications
Date: 11-10-2019
Abstract: In this article, a piezoelectric-based sensory technique is proposed for detection of the gap between surfaces of a carbon fiber reinforced polymer plate and a concrete specimen and characterization of shrinkage of early-age concrete. The proposed technique uses the propagation properties of the guided waves in the carbon fiber reinforced polymer plate excited and received by piezoelectric transducers attached to an external surface of the carbon fiber reinforced polymer–strengthened concrete specimen. Measurements are conducted with fresh and hardened early-age concrete specimens and two carbon fiber reinforced polymer plates at different gaps. A piezoelectric actuator is excited using a sine burst signal, and the generated wave is received by a sensor after propagation along the specimen. The received signal at different gap values is used to detect a gap. To quantify the gap, damage indices, including correlation coefficient, peak-to-peak litude of resultant signal, and root-mean-square deviation, are used. The shrinkage of concrete is detected and predicted by comparing the damage indices at different gaps with the indices at different stages of early-age concrete. The proposed technique is relatively simple method using small transducers. It is one-sided, non-destructive, and cost-effective solution for gap detection and concrete characterization.
Structural health monitoring based on vehicle-bridge interaction: Accomplishments and challenges
Publisher: SAGE Publications
Date: 12-2015
DOI: 10.1260/1369-4332.18.12.1999
Abstract: The use of the vehicle-bridge interaction (VBI) data for structural health monitoring has received considerable interest in the last decade. Compared with the traditional bridge health monitoring, the VBI based approach allows the target bridges to be monitored or assessed under operating conditions. The VBI system has time-variant features and the vehicle can serve as a moving exciter and a mobile sensor in the system. Many bridge damage identification techniques based on VBI have been developed, and they could be ided into three categories, namely, technique based on the bridge responses, technique based on the vehicle responses and technique based on both the vehicle and bridge responses. This paper presents a review on the structural health monitoring based on VBI and the challenges for its general implementation in practice.
Precise time-step integration for the dynamic response of a continuous beam under moving loads
Publisher: Elsevier BV
Date: 03-2001
An experimental study on damage detection of concrete structures using decentralized algorithms
Publisher: SAGE Publications
Date: 2013
DOI: 10.1260/1369-4332.16.1.33
Abstract: In this paper, an experimental study has been carried out to detect damage on a simply supported two-span reinforced concrete slab. Different crack damages are created by static loads on the slab and impact tests are carried out before and after removing the static loads. Two decentralized damage detection methods – Auto Correlation Function-Cross Correlation Function (ACF-CCF) method and Auto Regressive-Auto Regressive with exogenous input (AR-ARX) method, are used to localize damage from measured responses. The accuracy and sensitivity as well as the effect of sensor location and loading status of the structure were analysed with these two methods. The results show that the ACF-CCF method is more effective in detecting and locating damage than the AR-ARX method. The Novelty Index value of the ACF-CCF method could be a reliable indicator of damage in concrete structures.
Simultaneous Identification of Bridge Structural Damage and Moving Loads Using the Explicit Form of Newmark-β Method: Numerical and Experimental Studies
Publisher: MDPI AG
Date: 28-12-2022
DOI: 10.3390/RS14010119
Abstract: Bridge infrastructures are always subjected to degradation because of aging, their environment, and excess loading. Now it has become a worldwide concern that a large proportion of bridge infrastructures require significant maintenance. This compels the engineering community to develop a robust method for condition assessment of the bridge structures. Here, the simultaneous identification of moving loads and structural damage based on the explicit form of the Newmark-β method is proposed. Although there is an extensive attempt to identify moving loads with known structural parameters, or vice versa, their simultaneous identification considering the road roughness has not been studied enough. Furthermore, most of the existing time domain methods are developed for structures under non-moving loads and are commonly formulated by state-space method, thus suffering from the errors of discretization and s ling ratio. This research is believed to be among the few studies on condition assessment of bridge structures under moving vehicles considering factors such as sensor placement, s ling frequency, damage type, measurement noise, vehicle speed, and road surface roughness with numerical and experimental verifications. Results indicate that the method is able to detect damage with at least three sensors, and is not sensitive to sensors location, vehicle speed and road roughness level. Current limitations of the study as well as prospective research developments are discussed in the conclusion.
Connection stiffness identification of historic timber buildings using Temperature-based sensitivity analysis
Publisher: Elsevier BV
Date: 2017
.Damage detection in simply supported concrete bridge structure under moving vehicular loads
Publisher: ASME International
Date: 03-02-2007
DOI: 10.1115/1.2202150
Abstract: A method for damage detection of a simply supported concrete bridge structure in time domain is presented using the interaction forces from the moving vehicles as excitation. The vehicular loads are modeled as a group of vehicle-bridge interaction forces moving at a prescribed velocity, and the bridge is modeled as an Euler-Bernoulli beam simply supported at both ends. A damage function is used to simulate the crack damage in the reinforced concrete beam. The vehicle-bridge interaction forces and the structural damage in the bridge deck are identified from the measured responses in sequence of iteration without prior knowledge of the moving loads. The effects of parameters of the vehicle-bridge system and measurement noise on the damage detection result are studied. Simulation results show that the method is effective and noise insensitive to damage detection in the concrete bridge structure under moving vehicular loads.
Nothing-on-Road Axle Detection Strategies in Bridge-Weigh-in-Motion for a Cable-Stayed Bridge: Case Study
Publisher: American Society of Civil Engineers (ASCE)
Date: 08-2018
Preface
Publisher: Springer Science and Business Media LLC
Date: 22-06-2016
Flexural behaviour of composite steel-concrete beams utilising blind bolt shear connectors
Publisher: Elsevier BV
Date: 05-2016
Time-varying system identification using a newly improved HHT algorithm
Publisher: Elsevier BV
Date: 12-2009
Nonlinear characteristics of damaged concrete structures under vehicular load
Publisher: American Society of Civil Engineers (ASCE)
Date: 08-2005
Investigation on stress concentration factor in concrete-filled steel tubular T-joints under out-of-plane bending moment
Publisher: CRC Press
Date: 13-11-2018
Nonlinear Connection Stiffness Identification of Heritage Timber Buildings Using a Temperature-Driven Multi-Model Approach
Publisher: World Scientific Pub Co Pte Lt
Date: 02-2006
DOI: 10.1142/S0219455420420018
Abstract: ‘Que-Ti’ is an important component in typical Tibetan heritage timber buildings and it performs similar to corbel brackets connecting beam and column in modern structures. It transfers shear, compression and bending moment by slippage and deformation of components as well as limited joint rotation. A rigorous analytical model of ‘Que-Ti’ is needed for predicting the behavior of a timber structure under extreme loadings. Few researches have been done on this topic, particularly with the parameters describing the performances of this connection subjected to external loads. In this paper, a new temperature-driven multimodel approach is proposed to identify the stiffness parameters of a ‘Que-Ti’ connection in its operating environment. Models with nonlinear compression and rotational springs have been developed to take into account the change of mechanical behavior of the ‘Que-Ti’ affected by the temperature variation in typical heritage Tibetan buildings. The column–beam connection is modeled as two nonlinear rotational springs and one nonlinear compressive spring. Ambient temperature variation is treated as a force function in the input (temperature)–output (local mechanical strains) relationship, and stiffness identification is conducted iteratively via correlating the calculated strain responses with measured data. The nonlinear model of the joint is reproduced with a number of linear local models in different deformation scenarios that are corresponding to different temperature ranges. The stiffness parameters can be identified using a multimodel approach. Numerical results show that the method is effective and reliable to identify the nonlinear connection stiffness of the ‘Que-Ti’ accurately with the temperature change even with 10% noise in measurements. The monitoring data from a long-term monitoring system installed in a typical heritage Tibetan building is used to further verify the method. The experimental results show that the identified stiffness by the proposed method with nonlinear connection stiffness model can get better results than that obtained from the linear connection stiffness model.
Aerodynamic flutter and limit cycle analysis for a 2-D wing with pitching freeplay in the supersonic flow
Publisher: IEEE
Date: 06-2010
Recent developments in inverse problems of vehicle–bridge interaction dynamics
Publisher: Springer Science and Business Media LLC
Date: 02-2016
Comprehensive Study of Moving Load Identification on Bridge Structures Using the Explicit Form of Newmark-β Method: Numerical and Experimental Studies
Publisher: MDPI AG
Date: 11-06-2021
DOI: 10.3390/RS13122291
Abstract: Bridge infrastructures are continuously subject to degradation due to aging and excess loading, placing users at risk. It has now become a major concern worldwide, where the majority of bridge infrastructures are approaching their design life. This compels the engineering community to develop robust methods for continuous monitoring of bridge infrastructures including the loads passing over them. Here, a moving load identification method based on the explicit form of Newmark-β method and Generalized Tikhonov Regularization is proposed. Most of the existing studies are based on the state space method, suffering from the errors of a large discretization and a low s ling frequency. The accuracy of the proposed method is investigated numerically and experimentally. The numerical study includes a single simply supported bridge and a three-span continuous bridge, and the experimental study includes a single-span simply supported bridge installed by sensors. The effects of factors such as the number of sensors, sensor locations, road roughness, measurement noise, s ling frequency and vehicle speed are investigated. Results indicate that the method is not sensitive to sensor placement and s ling frequencies. Furthermore, it is able to identify moving loads without disruptions when passing through supports of a continuous bridge, where most the existing methods fail.
Structural dynamic reliability analysis of super large-scale lattice domes during earthquakes using the stochastic finite element method
Publisher: Elsevier BV
Date: 02-2022
Identification of de-bonding between steel bars and concrete using wavelet techniques: Comparative study
Publisher: Informa UK Limited
Date: 2013
Design and experimental investigations of a vibration based wireless measurement system for bridge cable tension monitoring
Publisher: SAGE Publications
Date: 11-2014
DOI: 10.1260/1369-4332.17.11.1657
Abstract: Cables are important components of a cable-stayed bridge, and the cable tension is a crucial factor in determining the overall condition assessment of a cable-stayed bridge structure. Based on the vibration frequency method, a wireless monitoring system for bridge cable tension force monitoring has been investigated and experimentally validated through laboratory and field tests in this paper. The vibration frequency-based method for cable tension measurement, the design method of the wireless measurement system with embedded identification algorithm, the test procedures, and relevant results are discussed, respectively. The developed wireless monitoring system is verified by a bridge model test in the laboratory and full-scale bridge tests in the field. Field experimental results show that the relative error between this wireless monitoring system and the reference wired system values is within 0.5%. Therefore, the developed wireless measurement system can provide an estimation of cable tension with sufficient accuracy. Moreover, the developed system is highly integrated and convenient in terms of installation and dismantling, and it has potential applicability prospects in emergency for the quick detection of cable tension.
Identification of moving loads on an orthotropic plate
Publisher: ASME International
Date: 10-2001
DOI: 10.1115/1.1349889
Abstract: A method is presented to identify indirectly loads moving on an orthotropic plate. The loads are in a group of two forces or four forces. The dynamic behavior of the plate under the action of these moving loads is analyzed. A method to identify these moving forces from the dynamic responses of the plate is developed basing on the modal superposition principle, and Tikhonov regularization procedure is applied to provide bounds to the solution in the time domain. Prior knowledge on the modal properties of the plate and the velocity of loads is required. The errors in the identified in idual loads are discussed. The effect of different combinations of measuring locations on the identification is studied. Numerical results show that acceleration responses would give better and acceptable results than strain measurements.
Time-Varying Parameter Identification of Bridges Subject to Moving Vehicles Using Ridge Extraction Based on Empirical Wavelet Transform
Publisher: World Scientific Pub Co Pte Lt
Date: 18-01-2021
DOI: 10.1142/S0219455421500462
Abstract: For a vehicle moving over a bridge, the vehicle-bridge interaction (VBI) embraces the time-varying modal parameters of the system. The identification of non-stationary characteristics of bridge responses due to moving vehicle load is important and remains a challenging task. A new method based on the improved empirical wavelet transform (EWT) along with ridge detection of signals in time-frequency representation (TFR) is proposed to estimate the instantaneous frequencies (IFs) of the bridge. Numerical studies are conducted using a VBI model to investigate the time-varying characteristics of the system. The effects of the measurement noise, road surface roughness and structural damage on the bridge IFs are investigated. Finally, the dynamic responses of an in-situ cable-stayed bridge subjected to a passing vehicle are analyzed to further explore the time varying characteristics of the VBI system. Numerical and experimental studies demonstrate the feasibility and effectiveness of the proposed method on the IF estimation. The identified IFs reveal important time-varying characteristics of the bridge dynamics that is significant to evaluating the actual performance of operational bridges in operation and may be used for structural health assessment.
Bridge dynamic responses due to road surface roughness and braking of vehicle
Publisher: Elsevier BV
Date: 04-2005
Statistical damage sensitive feature for structural damage detection using AR model coefficients
Publisher: SAGE Publications
Date: 11-2015
DOI: 10.1260/1369-4332.18.10.1551
Abstract: Structural Health Monitoring (SHM) and damage detection techniques have captured much interest and attention of researchers and structural engineers owing to their promising ability to provide spatial and quantitative information regarding structural damage and the performance of a structure during its life-cycle. With the development of smart sensors and communication technologies, Wireless Sensor Networks (WSN) has empowered the advancement in SHM. Recently, time series models have been widely used for structural damage detection due to the sensitivity of the model coefficients and residual errors to the damages in the structure. This paper presents a simple index that is computed using the Auto-Regressive (AR) model coefficients as an effective damage sensitive feature (DSF) for the detection of structural damage. Based on this feature, a damage identification method is developed. The Fisher information criterion of the computed DSF is used to statistically decide on the location of damage. This method has been implemented in a simulation environment and the verification of its accuracy in structural damage detection has been carried out experimentally. Experimental data is obtained using wireless sensors from a series of tests performed on a steel beam. The novel damage feature combined with the Fisher criterion for statistical evaluation has shown potential in effective structural damage detection.
Drive-By Blind Modal Identification with Singular Spectrum Analysis
Publisher: American Society of Civil Engineers (ASCE)
Date: 07-2019
A state space formulation for moving loads identification
Publisher: ASME International
Date: 03-02-2006
DOI: 10.1115/1.2202149
Abstract: A new moving load identification method formulated in state space with regularization on the solution is presented. The bridge deck is modeled as an orthotropic rectangular plate, and the loads are modeled as a group of loads moving on top of the bridge deck at a fixed distance and at a constant speed. The Hamilton principle and the modal superposition principle are included in the formulation. Numerical simulations and experimental tests are employed for the verification and illustration on the effectiveness of the proposed method. The effects of different sensor location, different load path eccentricity, different types of measured information, and measurement noise have been investigated, and the effect of the aspect ratio of the bridge deck is also studied. It is concluded that nine sensors collecting information from nine vibration modes would give reasonably accurate identified results over the practical range of aspect ratio of a modern bridge deck. Acceleration responses are preferred over the velocity and strain responses in this study, and the same type of response should be collected for the same supporting beam in the longitudinal direction.
Damage identification of steel-concrete composite beams based on modal strain energy changes through general regression neural network
Publisher: Elsevier BV
Date: 08-2021
Multiple Damaged Cables Identification in Cable-Stayed Bridges Using Basis Vector Matrix Method
Publisher: MDPI AG
Date: 11-01-2023
DOI: 10.3390/S23020860
Abstract: A new damaged cable identification method using the basis vector matrix (BVM) is proposed to identify multiple damaged cables in cable-stayed bridges. The relationships between the cable tension stiffness and the girder bending strain of the cable-stayed bridge are established using a force method. The difference between the maximum bending strains of the bridges with intact and damaged cables is used to obtain the damage index vectors (DIXVs). Then, BVM is obtained by the normalized DIXV. Finally, the damage indicator vector (DIV) is obtained by DIXV and BVM to identify the damaged cables. The damage indicator is substituted into the damage severity function to identify the corresponding damage severity. A field cable-stayed bridge is used to verify the proposed method. The three-dimensional finite element model is established using ANSYS, and the model is validated using the field measurements. The validated model is used to simulate the strain response of the bridge with different damage scenarios subject to a moving vehicle load, including one, two, three, and four damaged cables with damage severity of 10%, 20%, and 30%, respectively. The noise effect is also discussed. The results show that the BVM method has good anti-noise capability and robustness.
Moving loads identification through regularization
Publisher: American Society of Civil Engineers (ASCE)
Date: 09-2002
RFID-Based Wireless Multi-Sensory System for Simultaneous Dynamic Acceleration and Strain Measurements of Civil Infrastructure
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 15-12-2019
Explicit form of an implicit method for inverse force identification
Publisher: Elsevier BV
Date: 02-2014
A concrete-steel interface element for damage detection of reinforced concrete structures
Publisher: Elsevier BV
Date: 12-2007
Dynamic behaviour of steel-concrete composite beams with different types of shear connectors. Part I: Experimental study
Publisher: Elsevier BV
Date: 11-2015
Damage assessment of a two-span RC slab using wavelet analysis
Publisher: SPIE
Date: 06-04-2007
DOI: 10.1117/12.713998
Moving forces identification on a multi-span continuous bridge
Publisher: Elsevier BV
Date: 11-1999
Time domain identification of moving loads on bridge deck
Publisher: ASME International
Date: 04-2003
DOI: 10.1115/1.1547662
Abstract: A new time domain method is presented to identify moving loads on a bridge deck based on the measured responses. The bridge deck is modeled as an orthotropic plate and the loads are modeled as a group of four loads moving on top of the bridge deck at fixed distance apart. Dynamic behavior of the bridge deck is analyzed by the orthotropic plate theory and mode superposition technique. Like all inverse problems, this identification is an ill-conditioned problem, and a regularization technique is employed to stabilize the computations. The identified loads moving at different eccentricities are presented. Laboratory work on the force identification is also presented. The effect of incomplete measured modes in the responses is discussed, and an underestimation in the loads may result if the number of vibration mode for identification is larger than that in the responses. Computational simulations and laboratory tests show that the method is effective and practical for identification of in idual wheel loads on bridge decks.
Dynamic behaviour of steel-concrete composite beams with different types of shear connectors. Part II: Modelling and comparison
Publisher: Elsevier BV
Date: 11-2015
Compressive sensing for efficient health monitoring and effective damage detection of structures
Publisher: Elsevier BV
Date: 02-2017
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University Of Manchester
Location: United Kingdom of Great Britain and Northern Ireland
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