ORCID Profile
0000-0002-9831-8580
Current Organisation
University of Melbourne
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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.
Structural Engineering | Civil Engineering | Construction Materials | Engineering Systems Design | Structural engineering | Civil engineering | Risk Engineering (excl. Earthquake Engineering) | Land Use and Environmental Planning | Building Science and Techniques | Other Built Environment and Design | Built Environment and Design not elsewhere classified | Geomatic Engineering | Urban Analysis and Development | Property Law (excl. Intellectual Property Law) | Geomatic Engineering not elsewhere classified |
Civil Construction Design | Construction Materials Performance and Processes not elsewhere classified | Commercial Construction Design | Environmentally Sustainable Construction not elsewhere classified | Energy Conservation and Efficiency not elsewhere classified | Residential Construction Design | Cement and Concrete Materials | Industrial Construction Design | Civil Construction Processes | Natural Hazards in Urban and Industrial Environments | Hydrogen Storage | Land and Water Management of environments not elsewhere classified | Electronic Information Storage and Retrieval Services | Construction Design not elsewhere classified | Structural Metal Products |
Publisher: Elsevier BV
Date: 09-2018
Publisher: Elsevier BV
Date: 04-2017
Publisher: Elsevier BV
Date: 04-2018
Publisher: SAGE Publications
Date: 28-02-2022
DOI: 10.1177/14759217211068859
Abstract: Cracks in concrete structures are one of the most important indicators of structural damage, and it is a necessity to detect and measure cracks for ensuring safety and integrity of concrete structures. The widely practised approach in inspecting the structures is by performing visual inspections followed by manual estimation of crack widths. This approach is not only time-consuming, laborious, and time-intensive but also prone to subjective errors and inefficient. To address these issues, we propose a novel deep learning framework for detecting cracks and then estimating crack widths in concrete surface images. Our framework handles both small- and large-sized images and provides a prediction of crack width at locations specified by the user. The proposed framework uses Attention Recurrent Residual U-Net (Attention R2U-Net) with Random Forest regressor to predict crack width with the mean prediction error of ±0.31 mm for crack widths varying from 0 to 8.95 mm and produces the lowest absolute maximum error of 1.3 mm. Our model has a coefficient of determination ( R 2 ) of 0.91, showing a non-linear mapping function with low prediction errors. We compare our model with a combination of four other segmentation models and regression models. Our proposed model has superior performance compared to other models, and one can easily adopt our framework to a variety of Structural Health Monitoring applications using Internet of Things sensors.
Publisher: Elsevier BV
Date: 10-2017
Publisher: Elsevier BV
Date: 07-2018
Publisher: Elsevier BV
Date: 09-2021
Publisher: Elsevier BV
Date: 04-2014
Publisher: Elsevier BV
Date: 07-2017
Publisher: Elsevier BV
Date: 2021
Publisher: Elsevier BV
Date: 09-2017
Publisher: Informa UK Limited
Date: 2012
Publisher: Elsevier BV
Date: 02-2015
Publisher: Elsevier BV
Date: 07-2011
Publisher: Elsevier BV
Date: 2023
Publisher: Elsevier BV
Date: 08-2017
Publisher: Elsevier BV
Date: 03-2017
Publisher: Elsevier BV
Date: 08-2015
Publisher: Elsevier BV
Date: 11-2022
Publisher: SAGE Publications
Date: 03-2018
Abstract: Analyzing the risk of failure of glass windows when they are subjected to an explosion is a difficult task, requiring a comprehensive understanding of the dynamic behavior of glass and the glass fracture mechanism under blast loads. An efficient approach is required for estimating the level of risk in a complex environment, such as in a built-up city block. This article investigates the level of risk of the failure of glass windows in a complex layout when they are subjected to blast pressures using the probabilistic neural network model. Radial basis function and Bayesian theory are used to address the probabilistic nature of glass failure. The efficacy of the neural network is verified by comparing its risk predictions with blast damage observations from a real-life event. Computational fluid dynamics is used to estimate the magnitude of blast pressures at different locations. The complexity of the built-up environment does affect the level of risk at various locations. The artificial neural network technique provides a quick prediction of the likely damage to glass windows and the consequences for building occupants, offering advantages and practical significance for risk quantification in complex layouts.
Publisher: SAGE Publications
Date: 23-08-2017
Abstract: This study follows an analytical approach to investigate the nonlinear dynamic response and vibration of eccentrically stiffened sandwich functionally graded material (FGM) cylindrical panels with metal–ceramic layers on elastic foundations in thermal environments. It is assumed that the FGM cylindrical panel is reinforced by the eccentrically longitudinal and transversal stiffeners and subjected to mechanical and thermal loads. The material properties are assumed to be temperature dependent and graded in the thickness direction according to a simple power law distribution. Based on the Reddy’s third-order shear deformation shell theory, the motion and compatibility equations are derived taking into account geometrical nonlinearity and Pasternak-type elastic foundations. The outstanding feature of this study is that both FGM cylindrical panel and stiffeners are assumed to be deformed in the presence of temperature. Explicit relation of deflection–time curves and frequencies of FGM cylindrical panel are determined by applying stress function, Galerkin method and fourth-order Runge-Kutta method. The influences of material and geometrical parameters, elastic foundations and stiffeners on the nonlinear dynamic and vibration of the sandwich FGM panels are discussed in detail. The obtained results are validated by comparing with other results in the literature.
Publisher: Elsevier BV
Date: 08-2018
Publisher: Informa UK Limited
Date: 05-07-2021
Publisher: Penerbit UTM Press
Date: 18-04-2016
DOI: 10.11113/JT.V78.8353
Abstract: Strengthening of reinforced concrete (RC) continuous beams in shear have received very little attention among researchers even though most existing structures are in the form of continuous condition such as part of a floor-beam system. Therefore, in order to address the gap, a study on shear strengthening and shear repair of reinforced concrete continuous beam using Carbon Fibre Reinforced Polymer (CFRP) strips was conducted [15]. The validation of the experimental results was conducted with a simulation study using a finite element software ATENA v4 [16]. The research variables were number of layers of CFRP strips (one or two layers), wrapping schemes (four sides or three sides) and orientation of CFRP strips (0/90 or 45/135 degree’s). From the analysis of the finite element results, ATENA shows it has successfully simulated the shear behaviour of strengthened and repaired of 2-span continuous RC beams externally bonded by CFRP strips.
Publisher: American Society for Microbiology
Date: 07-2015
Abstract: The Arenaviridae are enveloped, negative-sense RNA viruses with several family members that cause hemorrhagic fevers. This work provides immunofluorescence evidence that, unlike those of New World arenaviruses, the replication and transcription complexes (RTC) of lymphocytic choriomeningitis virus (LCMV) colocalize with eukaryotic initiation factor 4E (eIF4E) and that eIF4E may participate in the translation of LCMV mRNA. Additionally, we identify two residues in the LCMV nucleoprotein (NP) that are conserved in every mammalian arenavirus and are required for recombinant LCMV recovery. One of these sites, Y125, was confirmed to be phosphorylated by using liquid chromatography-tandem mass spectrometry (LC-MS/MS). NP Y125 is located in the N-terminal region of NP that is disordered when RNA is bound. The other site, NP T206, was predicted to be a phosphorylation site. Immunofluorescence analysis demonstrated that NP T206 is required for the formation of the punctate RTC that are typically observed during LCMV infection. A minigenome reporter assay using NP mutants, as well as Northern blot analysis, demonstrated that although NP T206A does not form punctate RTC, it can transcribe and replicate a minigenome. However, in the presence of matrix protein (Z) and glycoprotein (GP), translation of the minigenome message with NP T206A was inhibited, suggesting that punctate RTC formation is required to regulate viral replication. Together, these results highlight a significant difference between New and Old World arenaviruses and demonstrate the importance of RTC formation and translation priming in RTC for Old World arenaviruses. IMPORTANCE Several members of the Arenaviridae cause hemorrhagic fevers and are classified as category A pathogens. Arenavirus replication-transcription complexes (RTC) are nucleated by the viral nucleoprotein. This study demonstrates that the formation of these complexes is required for virus viability and suggests that RTC nucleation is regulated by the phosphorylation of a single nucleoprotein residue. This work adds to the body of knowledge about how these key viral structures are formed and participate in virus replication. Additionally, the fact that Old World arenavirus complexes colocalize with the eukaryotic initiation factor 4E, while New World arenaviruses do not, is only the second notable difference observed between New and Old World arenaviruses, the first being the difference in the glycoprotein receptor.
Publisher: Elsevier BV
Date: 11-2015
Publisher: Elsevier BV
Date: 11-2017
Publisher: Springer Science and Business Media LLC
Date: 20-02-2017
Publisher: Elsevier BV
Date: 09-2016
Publisher: Elsevier BV
Date: 12-2013
Publisher: International Association for Automation and Robotics in Construction (IAARC)
Date: 22-07-2018
Publisher: Elsevier BV
Date: 09-2022
Publisher: Springer Science and Business Media LLC
Date: 05-04-2018
Publisher: Elsevier BV
Date: 10-2018
Publisher: Elsevier BV
Date: 09-2020
Publisher: SAGE Publications
Date: 26-09-2017
Abstract: High-strength concrete is becoming very popular around the world due to its many advantages over normal-strength concrete. There are significant behavioural differences between high-strength concrete and normal-strength concrete, most notably the brittleness and sudden spalling under elevated temperatures, whereby pieces of hardened concrete explosively dislodge. Although all high-rise and even many medium-rise buildings have high-strength concrete walls, the spalling of high-strength concrete walls in fire has generally been ignored by the designers and the fire resistance of walls has been calculated using the rules specified for normal-strength concrete. Catastrophic failures could occur due to this ignorance of an important issue. Major design codes including the American and Australian Codes do not cover spalling adequately. Even the Eurocode rules are based on limited research. After a brief discussion on the present design practice, this article presents a summary of spalling research. The relevant results from a comprehensive study conducted at the University of Melbourne are briefly discussed. The authors are not aware of any other comprehensive research projects covering the fire behaviour of normal-strength concrete and high-strength concrete walls exposed not only to standard fires but also hydrocarbon fires. The results showed that spalling in high-strength concrete is more significant when subjected to hydrocarbon fire compared to normal-strength concrete. The level of compressive load on the panels was also found to have a significant effect on the fire performance of the high-strength concrete panels. The finite analysis element program, ANSYS, was used to model the concrete walls subjected to load and fire (both ISO834 Standard fire and hydrocarbon fire). The test results were used to validate the computer model.
Publisher: Wiley
Date: 10-1999
Publisher: Elsevier BV
Date: 07-2015
Publisher: Elsevier BV
Date: 09-2020
Publisher: Elsevier BV
Date: 2014
Publisher: Elsevier BV
Date: 08-2021
Publisher: Elsevier BV
Date: 11-2017
Publisher: Elsevier BV
Date: 08-2018
Publisher: Elsevier BV
Date: 10-2017
Publisher: SAGE Publications
Date: 03-2015
DOI: 10.1260/2041-4196.6.1.113
Abstract: Blast and impact-resistant curtains are increasingly utilized for various applications in critical infrastructures to retrofit or enhance energy absorption and fragments capturing capabilities. Investigation of the impact resistance and failure mechanisms of the protective curtains are therefore critical. Understanding the energy absorption and failure mechanisms of fabrics impacted by potential debris of medium to low striking speeds could thus lead to improvements in designing spall linings system as well as bullet-proof combat uniforms against fragmentations. This paper aims at investigating the deformation and damage mechanisms of woven fabrics subjected to low velocity impact. Gas-gun experiments are conducted to investigate the ballistic resistance of the fabrics. A mesoscale modelling approach is developed and validated with the experiment to simulate the ballistic events for various projectile striking velocities ranging between 50–150 m/s. Parametric studies and comparisons are then carried out to examine the primary energy components: strain, kinetic, and friction energy, and their associated distribution within the fabric. The decoupling of the energy absorbed by the fabric provides an insight into the interaction of the yarns, as well as the significance of the energy components during the different stages of the impact event. The studies suggest the importance of the inter-yarn friction in a low speed impact scenario.
Publisher: Elsevier BV
Date: 11-2015
Publisher: Elsevier BV
Date: 08-2022
Publisher: International Association for Bridge and Structural Engineering (IABSE)
Date: 2002
Publisher: Hindawi Limited
Date: 2017
DOI: 10.1155/2017/5687837
Abstract: This paper presents a novel damage detection method based on the reconstructed phase space of vibration signals using a single sensor. In this approach, a moving mass is applied as excitation source, and the structure vibration responses at different positions are measured using a single sensor. A Moving Filter Function (MFF) is also presented to be used to separate and filter the responses before phase space reconstruction. Using the determined time delay and embedding dimensions, the responses are translated from time domain into the spatial domain. The index CPST (changes of phase space topology) values are calculated from the reconstructed phase space and used to identify structural damage. To demonstrate the method, six analysis scenarios for a beam-like structure considering the moving mass magnitude, damage location, the single sensor location, moving mass velocity, multiple types of damage, and the responses contaminated with noise are calculated. The acceleration and displacement responses are both used to identify the damage. The results indicate that the proposed method using displacement response is more sensitive to damage than that of acceleration responses. The results also proved that the proposed method can use a single sensor installed at different location of the beam to locate the damage/much damage reliably, even though the responses are contaminated with noise.
Publisher: Elsevier BV
Date: 08-2016
Publisher: Elsevier BV
Date: 04-2018
Publisher: Elsevier BV
Date: 11-2015
Publisher: American Society of Civil Engineers (ASCE)
Date: 11-2007
Publisher: Elsevier BV
Date: 05-2018
Publisher: SPIE
Date: 09-08-2013
DOI: 10.1117/12.2028056
Publisher: Hindawi Limited
Date: 2012
DOI: 10.1155/2012/754142
Abstract: The main distinction of blast load from other types of dynamic loadings is its impulsive nature, where the loads usually act for a very short duration but transmit very high impulsive pressures. This paper presents an overview of the present retrofitting techniques in use to enhance the capacity of structural elements to withstand the effects of blast loads, and introduces an alternative retrofitting approach by utilizing polymer coatings. The authors have demonstrated the positive effects of this approach by conducting a numerical investigation on the behavior of an unretrofitted reinforced concrete panel subjected to the blast load from a 2 kg charge at 1.6 m stand-off distance, and subsequently comparing its performance with several polymer coated panels. The analysis was performed by using an explicit nonlinear finite element (FE) code. The results demonstrate the contributions of this technique in terms of panel displacement control and energy dissipation. Considering that the polymer coating can also act as a protective layer in improving the durability of structural materials, this technique can also be optimized favorably to enhance the overall sustainability of structures.
Publisher: Elsevier BV
Date: 03-2015
Publisher: American Society of Civil Engineers (ASCE)
Date: 10-2015
Publisher: IOP Publishing
Date: 24-01-2018
Publisher: Elsevier BV
Date: 11-2017
Publisher: American Society of Civil Engineers (ASCE)
Date: 12-2016
Publisher: SAGE Publications
Date: 02-12-2017
Abstract: Sandwich panels with auxetic lattice cores confined between metallic facets are proposed for localised impact resistance applications. Their performance under localised impact is numerically studied, considering the rate-dependent effects. The behaviour of the composite structure material at high strain rates is modelled with the Johnson-Cook model. Parametric analyses are conducted to assess the performance of different designs of the hybrid composite structures. The results are compared with monolithic panels of equivalent areal mass and material in terms of deformations and plastic energy dissipation. Design parameters considered for the parametric analyses include the auxetic unit cell effective Poisson’s ratio, thickness of the facet, material properties and radius of the unit cell’s struts. Significant reduction in computational time is achieved by modelling a quarter of the panel, with shell elements for facets and beam elements for the auxetic core. With projectile impacts up to 200 m/s, the auxetic composite panels are found to be able to absorb a similar amount of energy through plastic deformation, while the maximum back facet displacements are reduced up to 56% due to localised densification and plastic deformation of the auxetic core.
Publisher: Elsevier BV
Date: 2016
Publisher: Wiley
Date: 08-1998
DOI: 10.1111/J.1445-5994.1998.TB02076.X
Abstract: Opportunities for interactive learning in electrocardiography are limited--particularly at postgraduate level. In medical education, increasing use is being made of the electronic medium and various materials have been developed to improve clinicians' skills. To test and evaluate the learning of electrocardiography among health professionals. A software package, containing a tutorial on electrocardiography and a self-assessment programme of 140 electrocardiograms (ECGs) was constructed. Seventy-two health professionals were recruited into the study and tested before and after the study period. Participants were randomly allocated to one of three groups: control (no study material), tutorial or computer. The tutorial group participated in a series of tutorials and the computer group were provided with a CD-ROM containing study material for them to use in their own time. The results were assessed for statistical significance between all groups using analysis of variance techniques. Sixty-one in iduals completed the study. Each of the three groups was pre and post tested on their knowledge of electrocardiography and their ability to interpret ECGs. The computer group was the only group to achieve a significant increase in performance in their knowledge on electrocardiography and in their ability to interpret ECGs. Suitably structured computer programmes are effective in helping clinicians understand electrocardiography and interpret ECGs.
Publisher: Informa UK Limited
Date: 09-09-2017
Publisher: Springer Science and Business Media LLC
Date: 10-06-2021
DOI: 10.1007/S11864-021-00868-7
Abstract: Radiation therapy is a key component of modern-day cancer therapy and can reduce the rates of recurrence and death from cancer. However, it can increase risk of cardiovascular (CV) events, and our understanding of the timeline associated with that risk is shorter than previously thought. Risk mitigation strategies, such as different positioning techniques, and breath hold acquisitions as well as baseline cardiovascular risk stratification that can be undertaken at the time of radiotherapy planning should be implemented, particularly for patients receiving chest radiation therapy. Primary and secondary prevention of cardiovascular disease (CVD), as appropriate, should be used before, during, and after radiation treatment in order to minimize the risks. Opportunistic screening for subclinical coronary disease provides an attractive possibility for primary/secondary CVD prevention and thus mitigation of long-term CV risk. More data on long-term clinical usefulness of this strategy and development of appropriate management pathways would further strengthen the evidence for the implementation of such screening. Clear guidelines in initial cardiovascular screening and cardiac aftercare following radiotherapy need to be formulated in order to integrate these measures into everyday clinical practice and policy and subsequently improve post-treatment morbidity and mortality for these patients.
Publisher: American Society of Civil Engineers (ASCE)
Date: 10-2015
Publisher: Elsevier BV
Date: 10-2016
Publisher: Elsevier BV
Date: 2018
Publisher: Elsevier BV
Date: 2018
Publisher: Thomas Telford Ltd.
Date: 07-2015
Abstract: The inelastic reserve capacity, which is the additional capacity of a member beyond the first yielding, is very important for limit-state design of frame structures. The aim of this work was to investigate the inelastic bending capacity of cold-formed channel sections according to European standards and to propose revisions to current design rules. An extensive experimental and analytical analysis of 42 cold-formed channel sections was conducted. Material properties of the tested sections were examined using tension tests on metal coupons. The sections were cold-formed from G450 steel with a nominal thicknesses of 1·6 mm, and varying theoretical buckling stresses ranging between elastic and seven times the yield stress. The results from the pure bending experimental investigations and the European design standards for steel structures were compared. It is concluded that the section classifications defined in Eurocode 3 are not accurate for cold-formed channel sections. Therefore, modifications to the section classifications that have been derived for hot-rolled sections are required in the case of cold-formed sections to maintain accuracy (based on the presented test series). Design rules are developed to account for such behaviour.
Publisher: Elsevier
Date: 2017
Publisher: American Society for Microbiology
Date: 02-2012
DOI: 10.1128/JVI.06084-11
Abstract: We have quantitatively profiled the proteins of vaccinia virus-infected HEK293T cells early and late during vaccinia virus infection. Proteins corresponding to 4,326 accessions were identified, the products of 3,798 genes. One hundred thirty-six of the proteins were vaccinia virus-encoded (∼64% of the known vaccinia virus proteome). The remaining accessions were from the host cell. A total of 3,403 of the 4,326 accessions could be confidently quantitated at the precursor peptide level. Although vaccinia virus gene products spanned the entire abundance dynamic range of the cellular proteome, nearly all of the proteome dynamics observed as a result of infection were manifest in the virus gene products with very little plasticity in the host cell proteome. The vaccinia virus gene products could be grouped into four kinetic classes (i.e., four combinations of pre- and postreplicative expression). These protein kinetic classes reflected, almost entirely, the corresponding gene classes within the recently characterized vaccinia virus transcriptome map. The few cellular gene products that showed notable changes in abundance upon vaccinia virus infection were concentrated largely in just a few functional groups. After all of the quantitated cellular gene products were assigned to Gene Ontology (GO)-specific groups, quantitation values for a number of these GO-specific groups were significantly skewed toward over- or underabundance with respect to the global distribution of quantitation values. Quantitative analysis of host cell functions reflected several known facets of virus infection, along with some novel observations.
Publisher: Elsevier BV
Date: 03-2018
Publisher: Elsevier BV
Date: 04-2012
Publisher: Proceedings of the National Academy of Sciences
Date: 20-08-2012
Abstract: A previously described mammalian cell activity, called VPg unlinkase, specifically cleaves a unique protein–RNA covalent linkage generated during the viral genomic RNA replication steps of a picornavirus infection. For over three decades, the identity of this cellular activity and its normal role in the uninfected cell had remained elusive. Here we report the purification and identification of VPg unlinkase as the DNA repair enzyme, 5′-tyrosyl–DNA phosphodiesterase-2 (TDP2). Our data show that VPg unlinkase activity in different mammalian cell lines correlates with their differential expression of TDP2. Furthermore, we show that recombinant TDP2 can cleave the protein–RNA linkage generated by different picornaviruses without impairing the integrity of viral RNA. Our results reveal a unique RNA repair-like function for TDP2 and suggest an unusual role in host–pathogen interactions for this cellular enzyme. On the basis of the identification of TDP2 as a potential antiviral target, our findings may lead to the development of universal therapeutics to treat the millions of in iduals afflicted annually with diseases caused by picornaviruses, including myocarditis, aseptic meningitis, encephalitis, hepatitis, and the common cold.
Publisher: Elsevier BV
Date: 04-2023
Publisher: Elsevier BV
Date: 09-2013
Publisher: Elsevier BV
Date: 11-2018
Publisher: Springer Science and Business Media LLC
Date: 05-04-2014
Publisher: Elsevier BV
Date: 2017
Publisher: Elsevier BV
Date: 10-2015
Publisher: Elsevier BV
Date: 2016
Publisher: Elsevier BV
Date: 11-2016
Publisher: Elsevier BV
Date: 06-2018
Publisher: Elsevier BV
Date: 02-2018
Publisher: Elsevier BV
Date: 11-2018
Publisher: Elsevier BV
Date: 10-2016
Publisher: Elsevier BV
Date: 08-2015
Publisher: Trans Tech Publications, Ltd.
Date: 05-2014
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.553.539
Abstract: Designing light-weight high-performance materials which can sustain high impulsive loadings is of great interest to marine applications. In this study, a finite element fluid-structure interaction model is developed to understand the deformation and failure mechanisms of both monolithic and sandwich composite panels. Fiber (E-glass fiber) and matrix (vinylester resin) damage and degradation in in idual unidirectional composite laminas are modeled with Hashin’s model. The delamination between laminas is modeled by developing a strain rate sensitive cohesive law. The deformation of the core (H250 PVC foam) in sandwich panels is modelled as a crushable foam plasticity model with volumetric hardening and strain rate sensitivity as well. The deformation history, fiber/matrix damage patterns in laminas, and inter-lamina delamination in both monolithic and sandwich composite panels are identified and compared with the experimental observations. The model suggests that the foam plays an important role in improving the performance of the sandwich panels by suppressing the transmitted impulsive acting on the back-sheets.
Publisher: SAGE Publications
Date: 08-09-2016
Abstract: This paper presents an analytical approach to investigate the nonlinear dynamic response and vibration of shear deformable imperfect eccentrically stiffened sandwich plate with functionally graded material (FGM) on elastic foundation using both of the first-order shear deformation plate theory and stress function with full motion equations (not using Volmir's assumptions). The thick sandwich plates are assumed to rest on elastic foundation and subjected to mechanical loads in thermal environment. Numerical results for dynamic response of the eccentrically stiffened thick sandwich plates are obtained by Runge–Kutta method. The results show the influences of geometrical parameters, material properties, imperfections, the elastic foundations, eccentric stiffeners, mechanical loads and temperature on the nonlinear dynamic response and nonlinear vibration of functionally graded sandwich plates. The numerical results in this paper are compared with the results reported in other publications.
Publisher: Informa UK Limited
Date: 07-06-2016
Publisher: Elsevier BV
Date: 05-2023
Publisher: Elsevier BV
Date: 11-2201
Publisher: Copernicus GmbH
Date: 06-07-2017
DOI: 10.5194/NHESS-17-1047-2017
Abstract: Abstract. The damage triggered by different flood events costs the Italian economy millions of euros each year. This cost is likely to increase in the future due to climate variability and economic development. In order to avoid or reduce such significant financial losses, risk management requires tools which can provide a reliable estimate of potential flood impacts across the country. Flood loss functions are an internationally accepted method for estimating physical flood damage in urban areas. In this study, we derived a new flood loss function for Italian residential structures (FLF-IT), on the basis of empirical damage data collected from a recent flood event in the region of Emilia-Romagna. The function was developed based on a new Australian approach (FLFA), which represents the confidence limits that exist around the parameterized functional depth–damage relationship. After model calibration, the performance of the model was validated for the prediction of loss ratios and absolute damage values. It was also contrasted with an uncalibrated relative model with frequent usage in Europe. In this regard, a three-fold cross-validation procedure was carried out over the empirical s le to measure the range of uncertainty from the actual damage data. The predictive capability has also been studied for some sub-classes of water depth. The validation procedure shows that the newly derived function performs well (no bias and only 10 % mean absolute error), especially when the water depth is high. Results of these validation tests illustrate the importance of model calibration. The advantages of the FLF-IT model over other Italian models include calibration with empirical data, consideration of the epistemic uncertainty of data, and the ability to change parameters based on building practices across Italy.
Publisher: MDPI AG
Date: 09-07-2016
DOI: 10.3390/W8070282
Publisher: Elsevier BV
Date: 12-2016
Publisher: SAGE Publications
Date: 04-07-2013
Abstract: Composite textiles composed of materials such as Kevlar, Dyneema and Zylon are extensively used in many force/impact protection applications, such as body armor, and automobile and airplane engine fragment resistant containment. Significant effort has been devoted to ballistic testing of composite fabrics made from various manufacturing processes and designs. Performing comprehensive ballistic and impact tests for these composite textiles is a very time-consuming and costly task. Numerical models are presented in this research, thereby providing predictive capability for the manufacturer and designer to minimize field testing, as well as shedding light on to the damage mechanisms of composite fabrics subjected to ballistic impact. Several representative composite fabric architectures (such as plain weave, basket weave and knitted fabrics) are generated for finite element analysis. Numerical investigation is conducted on these fabric structures of the same mass per unit area subjected to projectile impacts. Failure patterns of woven and knitted fabrics obtained from numerical simulations are compared with those observed experimentally. Performances of the representative textile structures are evaluated based on the resultant velocity of the projectile, as well as various energy components. The influences of yarn–yarn and yarn–projectile friction properties on the ballistic performance of various textile structures are presented. To highlight the effects of projectile geometry and angular rotation on the fracture of woven and knitted fabrics, a series of simulations are also performed with three distinctive projectiles of the same mass and impact energy.
Publisher: Wiley
Date: 20-06-2013
Publisher: SAGE Publications
Date: 11-2021
Abstract: With the growing number of aging infrastructure across the world, there is a high demand for a more effective inspection method to assess its conditions. Routine assessment of structural conditions is a necessity to ensure the safety and operation of critical infrastructure. However, the current practice to detect structural damages, such as cracks, depends on human visual observation methods, which are prone to efficiency, cost, and safety concerns. In this article, we present an automated detection method, which is based on convolutional neural network models and a non-overlapping window-based approach, to detect crack/non-crack conditions of concrete structures from images. To this end, we construct a data set of crack/non-crack concrete structures, comprising 32,704 training patches, 2074 validation patches, and 6032 test patches. We evaluate the performance of our approach using 15 state-of-the-art convolutional neural network models in terms of number of parameters required to train the models, area under the curve, and inference time. Our approach provides over 95% accuracy and over 87% precision in detecting the cracks for most of the convolutional neural network models. We also show that our approach outperforms existing models in literature in terms of accuracy and inference time. The best performance in terms of area under the curve was achieved by visual geometry group-16 model (area under the curve = 0.9805) and best inference time was provided by AlexNet (0.32 s per image in size of 256 × 256 × 3). Our evaluation shows that deeper convolutional neural network models have higher detection accuracies however, they also require more parameters and have higher inference time. We believe that this study would act as a benchmark for real-time, automated crack detection for condition assessment of infrastructure.
Publisher: Elsevier BV
Date: 02-2021
Publisher: CRC Press
Date: 15-09-2016
Publisher: Oxford University Press (OUP)
Date: 29-01-2020
Abstract: As health systems around the world increasingly look to measure and improve the value of care that they provide to patients, being able to measure the outcomes that matter most to patients is vital. To support the shift towards value-based health care in atrial fibrillation (AF), the International Consortium for Health Outcomes Measurement (ICHOM) assembled an international Working Group (WG) of 30 volunteers, including health professionals and patient representatives to develop a standardized minimum set of outcomes for benchmarking care delivery in clinical settings. Using an online-modified Delphi process, outcomes important to patients and health professionals were selected and categorized into (i) long-term consequences of disease outcomes, (ii) complications of treatment outcomes, and (iii) patient-reported outcomes. The WG identified demographic and clinical variables for use as case-mix risk adjusters. These included baseline demographics, comorbidities, cognitive function, date of diagnosis, disease duration, medications prescribed and AF procedures, as well as smoking, body mass index (BMI), alcohol intake, and physical activity. Where appropriate, and for ease of implementation, standardization of outcomes and case-mix variables was achieved using ICD codes. The standard set underwent an open review process in which over 80% of patients surveyed agreed with the outcomes captured by the standard set. Implementation of these consensus recommendations could help institutions to monitor, compare and improve the quality and delivery of chronic AF care. Their consistent definition and collection, using ICD codes where applicable, could also broaden the implementation of more patient-centric clinical outcomes research in AF.
Publisher: Elsevier BV
Date: 02-2018
Publisher: Elsevier BV
Date: 07-2022
Publisher: Elsevier BV
Date: 03-2017
Publisher: Thomas Telford Ltd.
Date: 06-2019
Abstract: The inefficiency of typical superplasticisers in geopolymer compared with Portland cement limits the design of a self-compacting concrete. This study investigated the rheology, reactivity and strength of a fly ash, slag and micro fly ash system without superplasticisers in order to find an optimum self-compacting behaviour. The particle size distribution was used to design a mixture of precursors with the highest packing density. The theoretical packing density based on particle size distribution was in close agreement with experimentally obtained packing densities. The effect of the width of the particle size distribution, as determined by the n value in the Rosin–Rammler function, on the rheology of the pastes was confirmed by a close agreement between the predicted yield stress and the experimental values. The initial setting time decreased with the increase in slag and micro fly ash. Finally, a geopolymer concrete was designed that meets the workability requirement of self-compacting concrete with comparable compressive strength without superplasticisers.
Publisher: Elsevier BV
Date: 09-2017
Publisher: Elsevier BV
Date: 09-2013
Publisher: Elsevier BV
Date: 11-2015
Publisher: Elsevier BV
Date: 06-2017
Publisher: Elsevier BV
Date: 06-2014
Publisher: SPIE
Date: 09-08-2013
DOI: 10.1117/12.2027959
Publisher: Elsevier BV
Date: 02-2014
Publisher: Elsevier BV
Date: 2017
Publisher: SAGE Publications
Date: 12-2010
DOI: 10.1260/2041-4196.1.4.469
Abstract: Multiple detonations might occur in both accidental explosions and terrorism attacks. Generally, normal reinforced concrete (RC) structures which are not designed to withstand high intensity blast loads are not capable of withstanding explosions from a single blast let alone a sequence of more than one blast. Since concrete is often highly cracked and damaged from the first blast, the remaining deteriorated concrete and steel reinforcement in a RC member becomes very vulnerable to collapse. This paper reports on the feasibility of using fibre reinforced polymer (FRP) to strengthen a normal RC slab capable of sustaining two independent air blasts. Apart from the experimental investigation, numerical studies have been conducted to verify the concrete and FRP material models when they are utilized to predict the behaviour of FRP-RC structures under multiple blasts. This article provides guidance on how to choose appropriately between the two existing concrete models available in the LS-DYNA code.
Publisher: Trans Tech Publications, Ltd.
Date: 05-2014
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.553.757
Abstract: Woven fabrics are widely used in various protective applications. The effects of different woven architectures (such as plain, basket, twill and satin) on impact resistance performance have not been adequately studied. In this work, high-speed impact testing on single layer plain weave structures has been carried out using a gas gun experimental setup. Ballistic resistance performance of the woven fabric is evaluated based on the resultant velocity of the projectile, as well as the post-mortem failure analysis. Finite element computational models are presented in this research, thereby providing predictive capability for the manufacturer and designer in order to minimise field testing, as well as shedding light on to the damage mechanisms of composite fabrics subjected to ballistic impact. The numerical model is validated with the experimental results in terms of dissipated energy and resultant velocity. Numerical investigation is conducted on other woven structures of identical areal density for comparison, revealing the importance of fabric architecture. The influences of yarn-yarn and yarn-projectile friction properties on the ballistic performance of various textile structures are also presented.
Publisher: Elsevier BV
Date: 2013
Publisher: Elsevier BV
Date: 06-2018
Publisher: CRC Press
Date: 19-12-2017
DOI: 10.1201/B18021
Publisher: Elsevier BV
Date: 07-2017
Publisher: Thomas Telford Ltd.
Date: 02-2020
Abstract: Lightweight concrete foam is mainly used as a filling for sandwich panels for insulation of buildings. Surfactants are chemical admixtures that play an important role in stabilising the air pores in fresh concrete foam before stiffening. This study investigates the effects of surfactants on the microstructure and pore characteristics of concrete foam analysed by X-ray microtomography. The formation of larger pores due to poor stability of bubbles in the concrete foam is directly related to a substantial reduction of compressive strength. Anionic (negatively charged) surfactants produce a stable aqueous foam. However, in the presence of cement particles, the majority of anionic surfactants adsorb on positively charged sites of cement particles. As the result of considerable migration of surfactants from the air–liquid interface of bubbles, the concrete foam is destabilised. Therefore, a surfactant that can generate a stable foam (with water only) may not be able to generate a stable concrete foam. A combination of an anionic and a non-ionic (neutral) surfactant reduced the maximum pore diameter from 1·84 mm to 1·49 mm and increased strength by 25% compared to the concrete foam stabilised by anionic surfactants alone.
Publisher: Copernicus GmbH
Date: 18-01-2016
Abstract: Abstract. Rapid urbanisation, climate change and unsustainable developments are increasing the risk of floods. Flood is a frequent natural hazard that has significant financial consequences for Australia. The emergency response system in Australia is very successful and has saved many lives over the years. However, the preparedness for natural disaster impacts in terms of loss reduction and damage mitigation has been less successful. In this paper, a newly derived flood loss function for Australian residential structures (FLFArs) has been presented and calibrated by using historic data collected from an extreme event in Queensland, Australia, that occurred in 2013. Afterwards, the performance of the method developed in this work (contrasted to one Australian model and one model from USA) has been compared with the observed damage data collected from a 2012 flood event in Maranoa, Queensland. Based on this analysis, validation of the selected methodologies has been performed in terms of Australian geographical conditions. Results obtained from the new empirically based function (FLFArs) and the other models indicate that it is apparent that the precision of flood damage models is strongly dependent on selected stage damage curves, and flood damage estimation without model calibration might result in inaccurate predictions of losses. Therefore, it is very important to be aware of the associated uncertainties in flood risk assessment, especially if models have not been calibrated with real damage data.
Publisher: Springer Science and Business Media LLC
Date: 21-10-2021
Publisher: Informa UK Limited
Date: 24-04-2015
Publisher: Elsevier BV
Date: 07-2017
Publisher: Elsevier BV
Date: 08-2014
Publisher: Elsevier BV
Date: 2019
Publisher: Elsevier BV
Date: 05-2018
Publisher: Elsevier BV
Date: 04-2017
Publisher: Elsevier BV
Date: 03-2014
DOI: 10.1016/J.VIROL.2014.01.012
Abstract: To the best of our knowledge, two phosphorylation sites have been reported previously, among 11 known Vaccinia virus phosphoproteins. Here, via phosphopeptide mass spectrometry, up to 189 phosphorylation sites were identified among 48 proteins in preparations of purified Vaccinia mature virus (MV). 8.5% of phospho-residues were pTyr. Viral phosphoproteins were found in erse functional classes, including structural proteins, membrane proteins and RNA polymerase subunits. Among the nine identified membrane phosphoproteins, the sites in just one, namely A14L, were deduced to be internal with respect to the accompanying membrane. Examination of sites in known substrates of the Vaccinia-encoded protein kinase VPK2, indicated VPK2 to be a proline-dependent kinase. The MV phosphoproteome was enriched in potential substrates of cellular kinases belonging to the CDK2/CDK3, CK2, and p38 groups. Quantitative mass spectrometry identified several sites that became phosphorylated during intravirion kinase activation in vitro, each showing one of two distinct pH-dependency profiles.
Publisher: Thomas Telford Ltd.
Date: 12-2015
Abstract: This work describes an analytical study on steel circular hollow sections under pure bending moment in order to understand its collapse deformation and to predict the energy absorption mechanism. Different from experimental and numerical analyses, which require extensive resources, the yield line mechanism (YLM) analytical model utilised in this work could provide various useful insights such as the collapse response of steel hollow sections when failure is formed at localised plastic hinge points. This is when a section fails and the YLM of failure forms at its localised plastic hinge point. Initiating a geometrical model and determining the energy absorption by different hinge lines is a complex exercise. Therefore, a simplified equation to estimate the failure curve of steel hollow sections is proposed. After examining the collapse response of the steel hollow sections using a simplified YLM method, the energy absorption capacity of these sections is investigated by performing excessive parametric study and correlation. By using this simplified method, the energy absorption due to failure is investigated. It is concluded that, for sections with the same cross-section, the section with the lower slenderness ratio has a higher energy absorption capacity and is more desirable to use as an energy absorber in industry.
Publisher: Elsevier BV
Date: 12-2018
Publisher: Elsevier BV
Date: 10-2015
Publisher: Thomas Telford Ltd.
Date: 04-2015
Abstract: Flange edge stiffeners can increase the ultimate moment capacity of cold-formed channel sections up to their post-yielding (inelastic) capacity. This paper investigates the post-yielding behaviour under bending of cold-formed channel sections with partially stiffened elements. The relevant literature was reviewed, experimental studies were carried out and a semi-empirical analysis was performed. Experimental and numerical analysis was undertaken of 40 cold-formed channel sections, each with a partially stiffened element. The results were compared with the existing Australian design rules and revisions are proposed to these rules. In addition, by using the test observations and the yield line mechanism model, the ultimate capacity of the tested sections was determined and compared with the test results. The model was found to provide accurate and reliable capacity predictions for slender cold-formed channel sections under bending.
Publisher: Elsevier BV
Date: 11-2018
Publisher: Wiley
Date: 14-03-2017
DOI: 10.1111/TGIS.12199
Publisher: Elsevier BV
Date: 02-2017
Publisher: Springer Science and Business Media LLC
Date: 10-05-2016
Publisher: American Society of Civil Engineers (ASCE)
Date: 12-2015
Publisher: Informa UK Limited
Date: 06-07-2017
Publisher: Springer Berlin Heidelberg
Date: 2011
Publisher: Elsevier BV
Date: 08-2018
Publisher: Elsevier BV
Date: 10-2022
Publisher: Springer Science and Business Media LLC
Date: 23-10-2015
Publisher: SAGE Publications
Date: 09-2013
DOI: 10.1260/2041-4196.4.3.451
Abstract: High and ultra-high strength concrete are becoming popular for many applications, including critical infrastructure subjected to high strain rate loading such as blast and impact. A strain rate dependent material model that is applicable to a range of strengths, varying from normal strength to ultra-high strength concrete, is presented in this paper. The results from a comprehensive experimental study conducted to investigate the strength and deformation capacity of concrete cylinders under high-velocity impact loading using a Split Hopkinson Pressure Bar (SHPB) test setup is reported. Unconfined 50 mm diameter concrete cylinders with compressive strengths varying from 32 MPa (4640 psi) to 160 MPa (23 200 psi) were tested to derive the dynamic properties of concrete at strain rates up to 300 s −1 . The SHPB test data were analysed to obtain the stress-strain relationships and strength dynamic increase factors (DIFs) for these concrete specimens under dynamic axial compression.
Publisher: Elsevier BV
Date: 11-2022
Publisher: Informa UK Limited
Date: 02-09-2015
Publisher: Elsevier BV
Date: 04-2018
Publisher: American Society of Civil Engineers
Date: 06-07-2017
Publisher: Elsevier BV
Date: 11-2022
Publisher: Routledge
Date: 20-07-2017
Publisher: Elsevier BV
Date: 07-2017
Start Date: 02-2012
End Date: 12-2016
Amount: $345,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 06-2016
End Date: 12-2019
Amount: $235,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 09-2014
End Date: 06-2015
Amount: $400,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2023
End Date: 12-2025
Amount: $545,173.00
Funder: Australian Research Council
View Funded ActivityStart Date: 11-2011
End Date: 12-2015
Amount: $526,086.00
Funder: Australian Research Council
View Funded ActivityStart Date: 08-2021
End Date: 08-2024
Amount: $381,244.00
Funder: Australian Research Council
View Funded ActivityStart Date: 05-2017
End Date: 05-2021
Amount: $231,824.00
Funder: Australian Research Council
View Funded ActivityStart Date: 02-2017
End Date: 12-2020
Amount: $300,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 06-2011
End Date: 12-2015
Amount: $200,313.00
Funder: Australian Research Council
View Funded ActivityStart Date: 07-2016
End Date: 05-2022
Amount: $4,000,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 10-2022
End Date: 10-2025
Amount: $485,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 07-2013
End Date: 12-2016
Amount: $490,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 06-2016
End Date: 12-2019
Amount: $387,500.00
Funder: Australian Research Council
View Funded ActivityStart Date: 08-2015
End Date: 12-2019
Amount: $600,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 03-2023
End Date: 02-2026
Amount: $520,020.00
Funder: Australian Research Council
View Funded Activity