ORCID Profile
0000-0002-7419-7980
Current Organisations
King Abdulaziz University
,
University of Adelaide
,
Curtin University
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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)
Civil Engineering | Civil Geotechnical Engineering | Infrastructure Engineering and Asset Management | Construction Materials |
ANZSRC Socio-Economic Objective (SEO)
Road Freight | Road Infrastructure and Networks | Management of Greenhouse Gas Emissions from Construction Activities | Rail Infrastructure and Networks | Civil Construction Design
Related Links
Publications
Reliability-based semi-analytical solution for ground improvement by PVDs incorporating inherent (spatial) variability of soil
Publisher: Elsevier BV
Date: 06-2015
Geomechanical Behaviour of Clay Stabilised with Fly-Ash-Based Geopolymer for Deep Mixing
Publisher: MDPI AG
Date: 12-05-2022
DOI: 10.3390/GEOSCIENCES12050207
Abstract: Geopolymer has recently become an attractive alternative to traditional binders (e.g., cement and lime) used for chemical soil improvement, with several environmental benefits including lower toxic emissions and energy consumption. This paper presents an evaluation of the geomechanical behaviour of soft clay treated with fly-ash-based geopolymer incorporating slag for deep soil mixing (DSM) applications. The geomechanical properties of stabilised clay were evaluated using unconfined compressive strength (UCS) tests and durability against wetting–drying. Thermal conductivity and pH tests along with microstructural analysis using scanning electron microscopy (SEM) were also performed to provide insights into the effect of geopolymer on treated clay. The results indicate that the inclusion of geopolymer with the increase in curing time and activator content considerably improves the geomechanical performance of geopolymer-treated soft clay in terms of stress–strain response and attainable peak compressive strength. Although it was found that a small percentage of geopolymer can enhance the initial compressive response, a larger dosage of geopolymer up to 30% was necessary to maintain stable durability performance over successive wetting–drying cycles. Such improved durability performance is related to the enhanced soil structure due to the cementation development and overall reduction in thermal conductivity. The reduction in thermal conductivity of treated clay was found to be activator-dependent and was suppressed steadily with the increase in activator concentration. Overall, geopolymer-treated clay showed promising potential for DSM applications due to its enhanced strength and durability responses.
Data division for developing neural networks applied to geotechnical engineering
Publisher: American Society of Civil Engineers (ASCE)
Date: 04-2004
Settlement prediction of shallow foundations on granular soils using B-spline neurofuzzy models
Publisher: Elsevier BV
Date: 12-2003
Three-dimensional finite element analysis of spatially variable PVD improved ground
Publisher: Informa UK Limited
Date: 02-01-2015
Sustainable geopolymer using lithium concentrate residues
Publisher: Elsevier BV
Date: 12-2019
State-of-the-art review of some artificial intelligence applications in pile foundations
Publisher: Elsevier BV
Date: 2016
Intelligent computing for modeling axial capacity of pile foundations
Publisher: Canadian Science Publishing
Date: 02-2010
DOI: 10.1139/T09-094
Abstract: In the last few decades, numerous methods have been developed for predicting the axial capacity of pile foundations. Among the available methods, the cone penetration test (CPT)-based models have been shown to give better predictions in many situations. This can be attributed to the fact that CPT-based methods have been developed in accordance with the CPT results, which have been found to yield more reliable soil properties hence, more accurate axial pile capacity predictions. In this paper, one of the most commonly used artificial intelligence techniques, i.e., artificial neural networks (ANNs), is utilized in an attempt to develop artificial neural network (ANN) models that provide more accurate axial capacity predictions for driven piles and drilled shafts. The ANN models are developed using data collected from the literature and comprise 80 driven pile and 94 drilled-shaft load tests, as well as CPT results. The predictions from the ANN models are compared with those obtained from the most commonly used available CPT-based methods, and statistical analyses are carried out to rank and evaluate the performance of the ANN models and CPT methods. To facilitate the use of the developed ANN models, they are translated into simple design equations suitable for hand calculations.
A new model based on evolutionary computing for predicting ultimate pure bending of steel circular tubes
Publisher: Elsevier BV
Date: 03-2014
Parametric study on the resilient response of ballasted railway track substructure using numerical modeling
Publisher: American Society of Civil Engineers
Date: 21-02-2006
DOI: 10.1061/40803(187)85
Microstructural and Geomechanical Study on Biocemented Sand for Optimization of MICP Process
Publisher: American Society of Civil Engineers (ASCE)
Date: 04-2019
Design of ballasted railway track foundations using numerical modelling. Part I: Development1
Publisher: Canadian Science Publishing
Date: 03-2018
Abstract: In this paper, a new design method is developed for ballasted railway track foundations that must support high-speed trains and heavy axle loads. The proposed method is intended to prevent the two most common track failures namely, progressive shear failure of the track subgrade and excessive plastic deformation of the track substructure (i.e., ballast plus subgrade). The method is based on improved empirical models and sophisticated three-dimensional (3D) finite element (FE) numerical analysis. The improved empirical models are used for predicting the cumulative plastic deformation of the track, whereas the stress parameters of the ballast and subgrade layers are obtained from the 3D FE numerical analysis. The outcomes are then synthesized into a set of design charts that form the core of the proposed design method so that it can be readily used by railway geotechnical engineers for routine design practice. The design method can be applied to various practical conditions of train–track–ground systems, including the modulus, thickness, and type of ballast and subgrade. In addition, the traffic parameters that have a significant influence on track performance are also considered in the design method, including the wheel spacing, train speed, and traffic tonnage. The new design method has significant advantages over the existing methods and would provide a major contribution to modern railway track design and code of practice. The applications of the new design method are presented and explained in a companion paper (i.e., Part II: Applications).
Design of ballasted railway track foundations using numerical modelling. Part II: Applications
Publisher: Canadian Science Publishing
Date: 03-2018
Abstract: This paper is the second of two companion papers in relation to a new design method for ballasted railway track foundations. Development of the new design method has been explained in the first paper (i.e., Part I: Development), and the procedures for using the method and its practical application on some field case studies are presented in this paper. A special feature of the proposed design method is that it considers the true impact of train dynamic moving loads and number of repeated applications of the traffic tonnage. The proposed method is applied to four case studies of actual tracks and the results are compared with field measurements and found to be in good agreement. It should be noted that, although the proposed design method is able to overcome most shortcomings of the existing methods and found to provide excellent outcomes, further verification with more field case studies is highly desirable.
Probabilistic analyses of soil consolidation by prefabricated vertical drains for single‐drain and multi‐drain systems
Publisher: Wiley
Date: 03-05-2016
DOI: 10.1002/NAG.2535
Bio-cementation of sandy soil using microbially induced carbonate precipitation for marine environments
Publisher: Thomas Telford Ltd.
Date: 12-2014
Abstract: This study proposes and describes a novel approach for cementing sandy soils in marine environments by modifying the promising technique of microbially induced carbonate precipitation (MICP). In contrast to the usual MICP technique described in the literature, the method proposed herein relies on the calcium ions dissolved in seawater as the sole source of calcium for calcite formation. This proposed method involves flushing high-salinity-tolerant, urease-active bacteria followed by a mixture of urea and seawater through a porous sandy soil, leading to bacterial carbonate release from the urease reaction and precipitation of insoluble and semi-soluble carbonate salts including calcium carbonate and magnesium carbonate trihydrate. This precipitation method resulted in a physical stabilisation of sand that reached an unconfined compressive strength of up to 300 kPa, which is about two-fold higher (with same amount of crystals produced) than that of the MICP treatment in which highly concentrated calcium and urea solutions are used. Permeability was retained at about 30% for all MICP-treated s les, suggesting good drainage ability. This new exploration of MICP technology provides a high potential for using bio-cementation in marine environments, for applications such as mitigation of submarine sediment liquefaction and prevention of beach sand erosion and cliffs scouring.
Artificial Intelligence in Geotechnical Engineering: Applications, Modeling Aspects, and Future Directions
Publisher: Elsevier
Date: 2013
State-of-the-Art Review of Biocementation by Microbially Induced Calcite Precipitation (MICP) for Soil Stabilization
Publisher: Informa UK Limited
Date: 18-12-2016
Effects of soil spatial variability on axisymmetric versus plane strain analyses of ground improvement by prefabricated vertical drains
Publisher: Informa UK Limited
Date: 04-2012
Laboratory Investigation into Applicability of Red Sand-Bitumen Mixture as Landfill Liner
Publisher: Trans Tech Publications, Ltd.
Date: 05-2012
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.178-181.1022
Abstract: Liners play an important role in control of contaminant transport to ensure negligible long-term environmental impact. Fill liners have therefore been designed with the requirement to perform as barriers that separate leachate from the groundwater system. Liners have been traditionally designed using clay or geo-membranes and geo-synthetics. However, these traditional methods are becoming increasingly uneconomical and out of reach of most undeveloped countries. Development of innovative barriers and barrier materials is thus essential to provide more sustainable and cost effective solutions. The aim of this paper is to investigate the feasibility of using a new mixture of red sand-bitumen, as a landfill liner. The results indicate that the mixture meets the limit value of hydraulic conductivity for waste landfills of 1 × 10 −9 m/s and that the mixture has a high potential to be used in landfill applications.
Modeling the mechanical behavior of railway ballast using artificial neural networks
Publisher: Canadian Science Publishing
Date: 11-2006
DOI: 10.1139/T06-077
Abstract: Ballast is one of the most commonly used construction materials in railway tracks. Under heavy train loads, ballast is subjected to a high stress level that is always associated with significant track deformation. Consequently, an accurate prediction of the mechanical behavior of ballast under static and dynamic loading conditions is important for the stability of railway tracks. In this paper, the feasibility of using artificial neural networks (ANNs) for modeling the mechanical behavior of railway ballast under static loading is investigated. The database used for the development of the ANN model is obtained from selected literature and comprises a series of 29 large-scale drained triaxial compression tests conducted on three types of commonly used ballast (i.e., basalt, dolomite, and granite). Predictions from the ANN model are compared with the results of experimental tests and with those obtained from the hardening-soil constitutive model in PLAXIS finite-element code. The results indicate that the ANN model is able to accurately predict the stress–strain and volume change behavior of ballast. The plastic dilation and contraction of ballast at various confining pressures and the strain-hardening and postpeak strain-softening behavior of ballast are also well simulated.Key words: ballast, modeling, neural networks, prediction, railway, triaxial tests.
Bio-Cementation for Improving Soil Thermal Conductivity
Publisher: MDPI AG
Date: 14-09-2021
DOI: 10.3390/SU131810238
Abstract: A promising technology for renewable energy is energy piles used to heat and cool buildings. In this research, the effects of bio-cementation via microbially induced calcite precipitation (MICP) using mixed calcium and magnesium sources and the addition of fibres on the thermal conductivity of soil were investigated. Firstly, silica sand specimens were treated with cementation solutions containing different ratios of calcium chloride and magnesium chloride to achieve maximum thermal conductivity improvement. Three treatment cycles were provided, and the corresponding thermal conductivity was measured after each cycle. It was found that using 100% calcium chloride resulted in the highest thermal conductivity. This cementation solution was then used to treat bio-cemented soil s les containing fibres, including polyethylene, steel and glass fibres. The fibre contents used included 0.5%, 1.0% and 1.5% of the dry sand mass. The results show that the glass fibre s les yielded the highest thermal conductivity after three treatment cycles, and SEM imaging was used to support the findings. This research suggests that using MICP as a soil improvement technique can also improve the thermal conductivity of soil surrounding energy piles, which has high potential to effectively improve the efficiency of energy piles.
Use of evolutionary computing for modelling some complex problems in geotechnical engineering
Publisher: Informa UK Limited
Date: 23-06-2015
Intelligent computing for predicting axial capacity of drilled shafts
Publisher: American Society of Civil Engineers
Date: 10-03-2009
DOI: 10.1061/41022(336)4
Load settlement modeling of axially loaded steel driven piles using CPT-based recurrent neural networks
Publisher: Elsevier BV
Date: 06-2014
Design of Ram-Compacted Bearing Base Piling Foundations by Simple Numerical Modelling Approach and Artificial Intelligence Technique
Publisher: Springer Science and Business Media LLC
Date: 22-05-2021
Experimental investigation into multistage versus conventional triaxial compression tests for a c-phi soil
Publisher: Trans Tech Publications, Ltd.
Date: 09-2011
DOI: 10.4028/WWW.SCIENTIFIC.NET/AMM.90-93.28
Abstract: The procedure for conventional triaxial compression (CTC) test requires three separate soil specimens to be examined to failure under different confining pressures so that Mohr-Coulomb (or stress path) failure envelope can be determined and soil shear strength parameters can be obtained. An alternative procedure is the multi-stage triaxial (MST) compression test, which requires only one soil specimen to be tested at three stages of shearing with different confining pressures. There are several advantages for using MST over CTC, which apart from fewer soil specimens, include less laboratory time consumption and reduced effects of heterogeneity among the specimens tested. However, it has been argued in the literature that the advantages of using MST may be compromised by its inability to obtain reliable soil behavior or accurate shear strength parameters. In this paper, the accuracy of MST compared to CTC is investigated for a c-phi soil, and a simple procedure that can be adopted to rectify the MST results is proposed.
Stabilisation of oil-contaminated soils using microbially induced calcite crystals by bacterial flocs
Publisher: Thomas Telford Ltd.
Date: 06-2017
Abstract: Of late, oil spills have occurred frequently in many places around the world, causing serious geoenvironmental problems. The oil products adversely affect the safety of civil engineering infrastructures by altering the engineering properties of soils. This study proposes and describes a new approach for the stabilisation of oil-contaminated soils using a modified approach for the microbially induced calcite precipitation (MICP) technique. In contrast to one common method of MICP treatment that has been applied in the literature through the two-phase injection method, the new approach proposed herein involves premixing ureolytic bacterial flocs with oil-contaminated soils for the purpose of bacteria introduction and fixation. Repeated flushes of cementation solution (i.e. calcium chloride and urea) are then followed, leading to the precipitation of low-soluble calcite (calcium carbonate) crystals. This new MICP exploration was successful in producing an unconfined compressive strength of up to 1200 kPa, thereby providing a high potential for stabilising oil-contaminated soils in regions of oil spills.
Use of Fly-Ash Geopolymer Incorporating Ground Granulated Slag for Stabilisation of Kaolin Clay Cured at Ambient Temperature
Publisher: Springer Science and Business Media LLC
Date: 24-07-2018
Investigation into some design aspects of ballasted railway track foundations using numerical modelling
Publisher: Avestia Publishing
Date: 04-2018
DOI: 10.11159/ICGRE18.155
Stabilisation of granular media and formation soil using geosynthetics with special reference to railway engineering
Publisher: Thomas Telford Ltd.
Date: 2007
DOI: 10.1680/GRIM.2007.11.1.27
Abstract: Railway ballast breaks down and deteriorates progressively under train cyclic loading, and soft formation soil fails due to repetitive stress, leading to costly rail track maintenance. Using geosynthetics, track conditions can be improved and maintenance costs can be reduced. This paper addresses the potential use of geosynthetics for improving the deformation characteristics of rail ballast and formation soil. The prospective use of different types of geosynthetics was investigated using a large-scale prismoidal triaxial rig, and a plane strain finite element analysis (PLAXIS) of the rig was carried out to obtain the optimum location of geosynthetics in rail track substructure. A large-scale consolidometer was also employed to determine the effect of prefabricated vertical drains (PVDs) in optimising the accelerated primary consolidation of track soft formation. This paper also includes a section where recommendations are made on how to prepare the stability of rail tracks on surface formation soils considerably disturbed/remoulded by the Asian tsunami in Sri Lanka. The research findings reveal that geosynthetics have a good potential for resilient track construction and for reducing the cost of track maintenance. Le ballast d'infrastructure ferroviaire se fracture et se détériore progressivement sous le chargement cyclique des trains et le sol de formation molle se fracture en raison de la charge répétée. Ces dégradations sont à l'origine d'une maintenance coûteuse des voies ferrées. Les conditions de ces infrastructures peuvent s'améliorer et le coût de leur maintenance diminuer grâce à l'utilisation de la géosynthétique. Cet article illustre l'application potentielle de la géosynthétique pour l'amélioration des caractéristiques de déformation du ballast des voies ferroviaires et du sol de formation. L'utilisation prospective de différents types de géosynthétique est étudiée au moyen d'un montage triaxial prismoïde et une analyse en éléments finis en déformation plane (PLAXIS) du montage est réalisée pour obtenir l'emplacement optimal de la géosynthétique au niveau de la sous-structure de la voie ferrée. Un consolidomètre de grande échelle a également permis de déterminer le role des drains verticaux préfabriqués (DVP) dans l'optimisation de la consolidation primaire accélérée de la formation molle de la voie. L'article présente également une section comportant des recommandations sur les moyens de préparer la stabilité des voies ferrées sur le sols de formation en surface considérablement perturbés / remodelés par le tsunami asiatique qui a touché le Sri Lanka. Les résultats de ces travaux indiquent que la géosynthétique se révèle prometteuse en termes de construction de voies ferrées é lastiques et de réduction des coûts de maintenance des voies.
Load-settlement modeling of axially loaded drilled shafts using CPT-based recurrent neural networks
Publisher: American Society of Civil Engineers (ASCE)
Date: 12-2014
A review of artificial intelligence applications in shallow foundations
Publisher: Informa UK Limited
Date: 08-05-2015
Design of ballasted railway track foundations under cyclic loading
Publisher: American Society of Civil Engineers
Date: 13-07-2009
DOI: 10.1061/41049(356)11
Predicting settlement of shallow foundations using neural networks
Publisher: American Society of Civil Engineers (ASCE)
Date: 09-2002
Utilization of Lime for Stabilizing Soft Clay Soil of High Organic Content
Publisher: Springer Science and Business Media LLC
Date: 08-05-2008
Enhancing fiber/matrix bonding in polypropylene fiber reinforced cementitious composites by microbially induced calcite precipitation pre-treatment
Publisher: Elsevier BV
Date: 04-2018
Surface Percolation for Soil Improvement by Biocementation Utilizing In Situ Enriched Indigenous Aerobic and Anaerobic Ureolytic Soil Microorganisms
Publisher: Informa UK Limited
Date: 18-12-2016
Geo-mechanical behavior of clay soils stabilized at ambient temperature with fly-ash geopolymer-incorporated granulated slag
Publisher: Elsevier BV
Date: 12-2019
Urease active bioslurry: a novel soil improvement approach based on microbially induced carbonate precipitation
Publisher: Canadian Science Publishing
Date: 09-2016
Abstract: This paper presents a novel approach for soil stabilization by microbially induced carbonate precipitation (MICP) using a new urease active catalyzer, named herein as “bioslurry”. The bioslurry, which was produced from the reaction between bacterial culture and 400 mmol/L of CaCl 2 and urea, is pre-formed urease active crystals consisting of CaCO 3 plus imbedded urease active bacterial cells. By mixing the bioslurry with sand, more than 95% of the bioslurry was retained in the soil matrix as a result of the mechanical trapping mechanism, leading to high resistance to flushing with a low-salinity solution. The retained urease activity of bioslurry was uniformly distributed along the sand matrix, resulting in a rather uniform CaCO 3 precipitation. Through repeated treatments with a cementation solution, the unconfined compressive strength of bioslurry treated sand was significantly improved due to the effective CaCO 3 precipitation at the contact points of soil grains. Scanning electron microscopy analysis carried out on the bioslurry treated sand revealed that the induced large rhombohedral CaCO 3 crystals were localized around the bioslurry spherical fine crystals. The overall outcome of this work is that soil biocementation using the new bioslurry approach is controllable, reproducible, and homogeneous.
Neural network based stochastic design charts for settlement prediction
Publisher: Canadian Science Publishing
Date: 02-2005
DOI: 10.1139/T04-096
Abstract: Traditional methods of settlement prediction of shallow foundations on granular soils are far from accurate and consistent. This can be attributed to the fact that the problem of estimating the settlement of shallow foundations on granular soils is very complex and not yet entirely understood. Recently, artificial neural networks (ANNs) have been shown to outperform the most commonly used traditional methods for predicting the settlement of shallow foundations on granular soils. However, despite the relative advantage of the ANN based approach, it does not take into account the uncertainty that may affect the magnitude of the predicted settlement. Artificial neural networks, like more traditional methods of settlement prediction, are based on deterministic approaches that ignore this uncertainty and thus provide single values of settlement with no indication of the level of risk associated with these values. An alternative stochastic approach is essential to provide more rational estimation of settlement. In this paper, the likely distribution of predicted settlements, given the uncertainties associated with settlement prediction, is obtained by combining Monte Carlo simulation with a deterministic ANN model. A set of stochastic design charts, which incorporate the uncertainty associated with the ANN method, is developed. The charts are considered to be useful in the sense that they enable the designer to make informed decisions regarding the level of risk associated with predicted settlements and consequently provide a more realistic indication of what the actual settlement might be.Key words: settlement prediction, shallow foundations, neural networks, Monte Carlo, stochastic simulation.
Soil bio-cementation using a new one-phase low-pH injection method
Publisher: Springer Science and Business Media LLC
Date: 17-10-2018
Reply to the discussion by Das and Sivakugan on intelligent computing for modeling axial capacity of pile foundations
Publisher: Canadian Science Publishing
Date: 08-2010
DOI: 10.1139/T10-049
Microbially Induced Calcite Precipitation (MICP) for Soil Stabilization
Publisher: Springer Singapore
Date: 25-08-2019
Cementation of sand soil by microbially induced calcite precipitation at various degrees of saturation
Publisher: Canadian Science Publishing
Date: 2013
Abstract: A newly emerging microbiological soil stabilization method, known as microbially induced calcite precipitation (MICP), has been tested for geotechnical engineering applications. MICP is a promising technique that utilizes the metabolic pathways of bacteria to form calcite precipitation throughout the soil matrix, leading to an increase in soil strength and stiffness. This paper investigates the geotechnical properties of sand bio-cemented under different degrees of saturation. A series of laboratory experiments was conducted, including sieve analysis, permeability, unconfined compressive strength, consolidated undrained triaxial, and durability tests. The results indicate that higher soil strength can be obtained at similar CaCO 3 content when the treatment is performed under a low degree of saturation. The experimental results are further explained with a mathematical model, which shows that the crystallization efficiency, i.e., actual volume of crystals forming at the contact point where they contribute the most to strength, can be calculated from the degree of saturation and grain size. Fine sand s les exhibited higher cohesion, but lower friction angle than coarse sand s les with similar CaCO 3 content. The results also confirm the potential of MICP as a viable alternative technique for soil improvement in many geotechnical engineering applications, including liquefiable sand deposits, slope stabilization, and subgrade reinforcement. The freeze–thaw and acid rain resistance of MICP-treated sand has also been tested.
Influence of Key Environmental Conditions on Microbially Induced Cementation for Soil Stabilization
Publisher: American Society of Civil Engineers (ASCE)
Date: 2017
Stabilisation of clay with fly-ash geopolymer incorporating GGBFS
Publisher: Avestia Publishing
Date: 04-2017
DOI: 10.11159/ICGRE17.141
Development and Evaluation of Ginkgo biloba/Sodium Alginate Nanocomplex Gel as a Long-Acting Formulation for Wound Healing
Publisher: MDPI AG
Date: 19-03-2022
DOI: 10.3390/GELS8030189
Abstract: The aim of the study was to develop and evaluate the Ginkgo biloba nanocomplex gel (GKNG) as a long-acting formulation for the wound healing potential. Pharmaceutical analysis showed an average particle size of 450.14 ± 36.06 nm for GKNG, zeta potential +0.012 ± 0.003 mV, and encapsulation efficiency 91 ± 1.8%. The rheological analysis also showed the optimum diffusion rate and viscosity needed for topical drug delivery. Fourier transform infrared spectroscopy (FTIR), powder X-ray diffractometry (PXRD), scanning electron microscopy (SEM), and transmission electron microscopy (TEM) analysis further confirmed the success of GKNG. The in vivo study showed increments in the antioxidant enzymes superoxide dismutase (SOD) and glutathione peroxidase (GPx) and a lower level of lipid peroxidation (MDA) after GKNG treatment. The GKNG group showed upregulations in collagen type I, as alpha 1 collagen (COL1A1), and collagen type IV, as alpha 1 collagen (COL4A1). Furthermore, the in vivo study showed increments in hydroxyproline, epidermal growth factor (EGF), vascular endothelial growth factor (VEGF), and transforming growth factor-beta 1 (TGF-β1) after the GKNG. Additionally, GKNG effectively increased the wound contraction compared to GK gel and sodium alginate (SA) gel. Based on the in vitro and in vivo evaluation, GKNG effectively accelerated wound healing by modulation of antioxidant enzymes, collagens, angiogenic factors, and TGF-β1.
Experimental and Analytical Study on Geomechanical Behavior of Biocemented Sand
Publisher: American Society of Civil Engineers (ASCE)
Date: 08-2021
Probabilistic analysis of soil consolidation via prefabricated vertical drains
Publisher: American Society of Civil Engineers (ASCE)
Date: 12-2013
Microbially induced calcite precipitation for production of “bio-bricks” treated at partial saturation condition
Publisher: Elsevier BV
Date: 2020
Artificial intelligence for modeling load-settlement response of axially loaded bored piles
Publisher: CRC Press
Date: 19-05-2014
DOI: 10.1201/B17017-88
Bio-composites treatment for mitigation of current-induced riverbank soil erosion
Publisher: Elsevier BV
Date: 12-2021
Simulating the behaviour of reactive soils and slab foundations using hydro mechanical finite element modelling incorporating soil suction and moisture changes
Publisher: Elsevier BV
Date: 06-2018
Closure to ‘predicting settlement of shallow foundations using neural networks’
Publisher: American Society of Civil Engineers (ASCE)
Date: 12-2003
Stabilization of ballasted rail tracks and underlying soft formation soils with geosynthetic grids and drains
Publisher: American Society of Civil Engineers
Date: 11-05-2006
DOI: 10.1061/40864(196)20
State-of-the-Art Review of Enzyme-Induced Calcite Precipitation (EICP) for Ground Improvement: Applications and Prospects
Publisher: MDPI AG
Date: 30-11-2021
DOI: 10.3390/GEOSCIENCES11120492
Abstract: The global construction industry consumes huge amounts of mined materials that are considered unsustainable for earth resources. In addition, Portland cement which is a key element in concrete and most construction materials is considered one of the main contributors to worldwide CO2 emissions. On the other hand, natural cemented soil deposits are ex les of sustainable structures that have survived decades of severe environmental conditions. Mimicking these natural biological systems provide an alternative to the current practices of construction materials production. Enzyme-induced carbonate precipitation (EICP) is a bio-inspired technique based on the precipitation of calcium carbonate for enhancing the geo-mechanical properties of soils. In this technique, calcium carbonate acts as a cementitious agent that binds the soil particles together at the points of contact, hence, increasing the strength and stiffness of treated soils, while relatively reducing the soil permeability and porosity. The achieved enhancements make EICP useful for applications such as ground improvement, construction materials, and erosion control over traditional binders. This paper presents a state-of-the-art review of EICP for ground improvement including the fundamental basics of EICP treatment. The paper also discusses the chemical and physical factors affecting the performance of EICP such as enzyme source, enzyme activity and solution constitutes. Moreover, the paper reviews the different methods and testing techniques used in the application of EICP for soil treatment. Furthermore, the paper compares EICP with other biomineralization techniques in terms of performance and applicability on ground improvement. Finally, the paper discusses the research gaps and existing challenges concerning the commercialization and large-scale implementation of the technology.
Probabilistic design of ground improvement by vertical drains for soil of spatially variable coefficient of consolidation
Publisher: Elsevier BV
Date: 02-2014
Numerical analysis of slab foundations on reactive soils incorporating sand cushions
Publisher: Elsevier BV
Date: 08-2019
Genetic programming for modelling of geotechnical engineering systems
Publisher: Springer International Publishing
Date: 2015
A review on methods for liberating lithium from pegmatities
Publisher: Elsevier BV
Date: 2020
Investigation into Impact of Train Speed for Behavior of Ballasted Railway Track Foundations
Publisher: Elsevier BV
Date: 2016
Comparison between MICP-Based Bio-Cementation Versus Traditional Portland Cementation for Oil-Contaminated Soil Stabilisation
Publisher: MDPI AG
Date: 27-12-2022
DOI: 10.3390/SU15010434
Abstract: In recent years, oil spills and leakages have often occurred during oil exploration, transportation, handling, usage, and processing, causing serious global environmental problems. Microbially-induced carbonate precipitation (MICP) is an emerging green, environmentally friendly, and sustainable technology that has proven to be a promising alternative for soil stabilisation. This paper provides a comparison between the mechanical performance of oil-polluted sand treated with biocement and traditional Portland cement. A series of laboratory tests, including permeability, unconfined compressive strength (UCS), and triaxial consolidated undrained (CU) tests, was conducted. Even though oil contamination deteriorates the bonding strength of treated soil for both biocement and Portland cement soils, the biocement-treated oil-contaminated sand was found to achieve higher strength (up to four times) than cement-treated soil in the presence of similar content of cementing agent. After eight treatment cycles, the UCS value of oil-contaminated sand treated with biocement reached 1 MPa, demonstrating a high potential for oil-contaminated soil stabilisation in regions of oil spills and leakages.
Neural networks for modelling ultimate pure bending of steel circular tubes
Publisher: Elsevier BV
Date: 06-2008
Three-dimensional numerical modelling of ballasted railway track foundations for high-speed trains with special reference to critical speed
Publisher: Elsevier BV
Date: 03-2016
Limit analysis for the seismic stability of three-dimensional rock slopes using the generalized Hoek-Brown criterion
Publisher: Elsevier BV
Date: 03-2022
Neural network prediction of pullout capacity of marquee ground anchors
Publisher: Elsevier BV
Date: 04-2005
Zein-Stabilized Nanospheres as Nanocarriers for Boosting the Aphrodisiac Activity of Icariin: Response Surface Optimization and In Vivo Assessment
Publisher: MDPI AG
Date: 16-06-2022
DOI: 10.3390/PHARMACEUTICS14061279
Abstract: Icariin (ICA), a main active compound of the Epimedium genus, is used as an aphrodisiac in traditional Chinese herbal medicine. Despite its therapeutic efficacy, ICA displays reduced oral absorption, and therefore, low bioavailability hindered its clinical application. Implementing nanotechnology in the field of formulation has been a focus to improve the efficacy of ICA. In this regard, polymeric nanoparticles find a potential application as drug delivery systems. A nanosphere formula was designed, aiming to improve the drug’s efficacy. The proposed ICA nanosphere formula (tocozeinolate) was optimized using D-optimal response surface design. The concentrations of ICA (X1), D-α-tocopherol polyethylene glycol 1000 succinate (TPGS, X2), zein (X3), and sodium deoxycholate (SDC, X4) expressed as percentages were investigated as quantitative independent variables. As per the experimental design, 23 formulations were developed, which were investigated for particle size (PS, nm), zeta potential (ZP, mV), and entrapment efficiency (EE, %) as response parameters. Numerical optimization and desirability approach were employed to predict the optimized variable levels that, upon combination, could result in minimized size and maximized zeta potential and ICA entrapment. The optimized ICA–tocozeinolate nanospheres showed a particle size of 224.45 nm, zeta potential of 0.961 mV, and drug entrapment of 65.29% that coincide well with the predicted values. The optimized ICA–tocozeinolate nanospheres were evaluated for sexual behavior in Wistar male rats compared to raw ICA at equivalent doses (20 mg/kg). In vivo assessment results showed significant sexual behavior enhancement by the optimized formulation, as evidenced by decreased average time of both mount latency (ML) and ejaculation latency (EL) to almost half those of raw ICA. Additionally, intromission latency (IL) time was reduced by 41% compared to the raw ICA. These results highlighted the potential of the proposed ICA–tocozeinolate nanospheres as a promising platform for improving the delivery and efficacy of therapeutic agents.
Numerical modeling of granular pile-anchor foundations (GPAF) in reactive soils
Publisher: Informa UK Limited
Date: 04-2012
Pullout capacity of small ground anchors by direct cone penetration test methods and neural networks
Publisher: Canadian Science Publishing
Date: 06-2006
DOI: 10.1139/T06-029
Abstract: Marquees are temporary light structures that are connected to the ground by small anchors that act in tension and are designed to resist uplift forces. Due to the temporary nature of these structures, little, if any, attention is given to the pullout capacity of the anchors used to secure them. Failures of such structures are not rare and have resulted in deaths and tens of thousands of dollars of damage. This paper reports on a series of 119 in situ anchor pullout tests conducted on rough mild steel anchors of various lengths, cross-sectional shapes, and areas. Comparison tests are carried out to investigate the impact of the factors affecting the pullout capacity of small anchors. Six methods that determine the axial pile capacity directly from cone penetration test (CPT) data are presented and used to calculate the pullout capacity of small ground anchors. The capacities obtained from these CPT-based methods are compared with predictions from a recently developed artificial neural network (ANN) model. The actual pullout loads are compared with predictions from the CPT and ANN methods, and statistical analyses are carried out to evaluate and rank their performance. The results indicate that the ANN-based method provides superior predictions of the pullout capacity of small ground anchors, whereas the Schmertmann method provides the best performance of the CPT-based techniques examined.Key words: ground anchors, pullout capacity, cone penetration test, artificial neural networks.
Use of slag (with cement) for improving the performance of expansive soil of road pavement subgrade
Publisher: EDP Sciences
Date: 2019
DOI: 10.1051/MATECCONF/201927605002
Abstract: The study presented in this paper evaluates the suitability of using slag (with cement) as a stabilizer, for improving the performance of expansive subgrade soil in road pavement. Several laboratory tests were conducted to determine the geotechnical engineering characteristics of the expansive soil and associated mechanical engineering performance. The tests conducted include the particle size distribution, standard Proctor compaction, Atterberg’s limits, free swelling, permeability, California bearing ratio (CBR), unconfined compressive strength (UCS), and repeated load triaxial (RLT). In this study, the use of slag (with cement) as a stabilizer followed three proportion schemes, and the selection of a specific stabilizer proportion was determined based on UCS value that satisfies the required standard as a subgrade for road pavement. The results recommended a stabilizer proportion for the soil studied to be 13.5% slag + 1.5% cement at 28 days curing time. This mixture resulted in a remarkable increase in the UCS value of eight times higher than the UCS value of the non-stabilized soil. The CBR value of the mixture was four times higher than the minimum required value for design of road pavement. The study presented herein confirmed that the exploitation of the by-product material of slag can indeed be useful, both in terms of improving the performance of the subgrade soil for road pavement and sparing the environment a spread of significant potential pollutant.
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