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Undrained bearing capacity of obliquely-eccentrically loaded shallow foundations overlying a heterogeneous and inherently anisotropic clay deposit

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Journal of Rock Mechanics and Geotechnical engineering 2025年第1期17卷 586-613页

作者： Maedeh Nasiri Pishvari Hessam Fathipour Suraparb Keawsawasvong Boonchai Ukritchon Meghdad Payan Reza Jamshidi Chenari Department of Civil Engineering Faculty of EngineeringUniversity of GuilanRashtIran Research Unit in Sciences and Innovative Technologies for Civil Engineering Infrastructures Department of Civil EngineeringThammasat School of EngineeringThammasat UniversityThailand Department of Civil Engineering.Chulalongkorn University BangkokThailand Department of Civil Engineering GeoEngineering Centre at Queen's RMCRoyal Military College of CanadaKingstonCanada

Clay deposits typically exhibit significant degrees of heterogeneity and anisotropy in their strength and stiffness *** non-monotonic responses can significantly impact the stability analysis and design of overlying shallow *** this study,the undrained bearing capacity of shallow foundations resting on inhomogeneous and anisotropic clay layers subjected to oblique-eccentric combined loading is investigated through a comprehensive series of finite element limit analysis(FELA)based on the well-established lower-bound theorem and second-order cone programming(SOCP).The heterogeneity of normally consolidated(NC)clays is simulated by adopting a well-known general model of undrained shear strength increasing linearly with *** contrast,for overconsolidated(OC)clays,the variation of undrained shear strength with depth is considered to follow a bilinear ***,the inherent anisotropy is accounted for by adopting different values of undrained shear strength along different directions within the soil medium,employing an iterative-based *** results of numerical simulations are utilized to investigate the influences of natural soil heterogeneity and inherent anisotropy on the ultimate bearing capacity,failure envelope,and failure mechanism of shallow foundations subjected to the various combinations of vertical-horizontal(V-H)and vertical-moment(V-M)loads.

关键词： Shallow foundation Bearing capacity Combined loading Undrained shear strength Inherent anisotropy Heterogeneity

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Developing soft-computing regression model for predicting bearing capacity of eccentrically loaded footings on anisotropic clay

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Artificial Intelligence in Geosciences 2023年第1期4卷 68-75页

作者： Kongtawan Sangjinda Rungkhun Banyong Saif Alzabeebee Suraparb Keawsawasvong Research Unit in Sciences and Innovative Technologies for Civil Engineering Infrastructures Department of Civil EngineeringFaculty of EngineeringThammasat School of EngineeringThammasat UniversityPathumthani12120Thailand Department of Roads and Transport Engineering University of Al-QadisiyahAl-DiwaniyahAl-QadisiyahIraq

In this investigation,the bearing capacity solution of a strip footing in anisotropic clay under inclined and eccentric load is analyzed using the numerical simulation *** lower and upper bound finite element limit analysis(FELA)approaches are utilized to establish precise modeling and derive the numerical outcomes of a strip footing’s bearing *** analyses use effective automated adaptive meshes with three iteration stages to enhance the accuracy of the *** parametric analysis is performed to examine the influence of four dimensionless parameters which are taken into account in this study,namely the anisotropic strength ratio,the dimensionless eccentricity,the load inclination angle,and the adhesion factor to the bearing capacity ***,a new model has been proposed to predict the bearing capacity factor for the calculation of the undrained bearing capacity for footings resting on an anisotropic clay using an advanced data-driven method(MOGA-EPR).The new model takes into account the anisotropy,eccentricity,and inclination of the applied load and could be used with confidence in routine designs of shallow foundations in undrained conditions with the consideration of the anisotropic strengths of clays.

关键词： Bearing capacity Anisotropic clay Footing FELA MOGA-EPR

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Underground storage tank blowout analysis:Stability prediction using an artificial neural network

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Journal of Safety science and Resilience 2023年第4期4卷 366-379页

作者： Nhat Tan Duong Van Qui Lai Jim Shiau Rungkhun Banyong Suraparb Keawsawasvong Faculty of Civil Engineering Ho Chi Minh City University of Technology(HCMUT)VNU-HCMHo Chi Minh CityVietnam School of Engineering University of Southern QueenslandToowoomba 4350QLDAustralia Research Unit in Sciences and Innovative Technologies for Civil Engineering Infrastructures Department of Civil EngineeringThammasat School of EngineeringThammasat UniversityPathumthani 12120Thailand

Most geotechnical stability research is linked to“active”failures,in which soil instability occurs due to soil self-weight and external surcharge *** contrast,research on passive failure is not common,as it is predominately caused by external loads that act against the soil *** earlier active trapdoor stability investigation using the Terzaghi’s three stability factor approach was shown to be a feasible method for evaluating cohesive-frictional soil ***,this technical note aims to expand“active”trapdoor research to assess drained circular trapdoor passive stability(blowout condition)in cohesive-frictional soil under axisymmetric *** numerical finite element limit analysis(FELA)simulations,soil cohesion,surcharge,and soil unit weight effects are considered using three stability factors(Fc,Fs,and Fγ),which are all associated with the cover-depth ratio and soil internal friction *** upper-bound(UB)and lower-bound(LB)results are presented in design charts and tables,and the large dataset is further studied using an artificial neural network(ANN)as a predictive model to produce accurate design *** proposed passive trapdoor problem under axisymmetric conditions is significant when considering soil blowout stability owing to faulty underground storage tanks or pipelines with high internal pressures.

关键词： Blowout Passive stability Trapdoor Stability factors Limit analysis

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Bearing capacity prediction of open caissons in two-layered clays using five tree-based machine learning algorithms

Intelligent Geoengineering

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Intelligent Geoengineering 2025年第2期2卷 55-65页

作者： Rungroad Suppakul Kongtawan Sangjinda Wittaya Jitchaijaroen Natakorn Phuksuksakul Suraparb Keawsawasvong Peem Nuaklong Research Unit in Sciences and Innovative Technologies for Civil Engineering Infrastructures Department of Civil Engineering Faculty of Engineering Thammasat School of Engineering Thammasat University Pathum Thani 12120 Thailand

Open caissons are widely used in foundation engineering because of their load-bearing efficiency and adaptability in diverse soil conditions. However, accurately predicting their undrained bearing capacity in layered soils remains a complex challenge. This study presents a novel application of five ensemble machine (ML) algorithms—random forest (RF), gradient boosting machine (GBM), extreme gradient boosting (XGBoost), adaptive boosting (AdaBoost), and categorical boosting (CatBoost)—to predict the undrained bearing capacity factor ( N c ) of circular open caissons embedded in two-layered clay on the basis of results from finite element limit analysis (FELA). The input dataset consists of 1188 numerical simulations using the Tresca failure criterion, varying in geometrical and soil parameters. The FELA was performed via OptumG2 software with adaptive meshing techniques and verified against existing benchmark studies. The ML models were trained on 70 % of the dataset and tested on the remaining 30 %. Their performance was evaluated using six statistical metrics: coefficient of determination ( R² ), mean absolute error ( MAE ), root mean squared error ( RMSE ), index of scatter ( IOS ), RMSE-to-standard deviation ratio ( RSR ), and variance explained factor ( VAF ). The results indicate that all the models achieved high accuracy, with R² values exceeding 97.6 % and RMSE values below 0.02. Among them, AdaBoost and CatBoost consistently outperformed the other methods across both the training and testing datasets, demonstrating superior generalizability and robustness. The proposed ML framework offers an efficient, accurate, and data-driven alternative to traditional methods for estimating caisson capacity in stratified soils. This approach can aid in reducing computational costs while improving reliability in the early stages of foundation design.

关键词： Two-layered clay Open caisson Tree-based algorithms FELA Machine learning

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Limit load and failure mechanisms of a vertical Hoek-Brown rock slope

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Journal of Rock Mechanics and Geotechnical engineering 2024年第3期16卷 1106-1111页

作者： Jim Shiau Warayut Dokduea Suraparb Keawsawasvong Pitthaya Jamsawang School of Engineering University of Southern QueenslandToowoomba4350QLDAustralia Department of Civil Engineering Faculty of EngineeringKing Mongkut’s University of Technology ThonburiBangkokThailand Research Unit in Sciences and Innovative Technologies for Civil Engineering Infrastructures Department of Civil EngineeringThammasat School of EngineeringThammasat UniversityPathumthani12120Thailand Soil Engineering Research Center Department of Civil EngineeringKing Mongkut’s University of Technology North BangkokBangkok10800Thailand

The problem considered in this short note is the limit load determination of a vertical rock *** classical limit theorem is employed with the use of adaptive finite elements and nonlinear programming to determine upper and lower bound limit loads of a Hoek-Brown vertical rock *** objective function of the mathematical programming problem is such as to optimize a boundary load,which is known as the limit load,resembling the ultimate bearing capacity of a strip *** focusing on the vertical slope,parametric studies are carried out for several dimensionless ratios such as the dimensionless footing distance ratio,the dimensionless height ratio,and the dimensionless rock strength ratio.A comprehensive set of design charts is presented,and failure envelopes shown with the results explained in terms of three identified failure mechanisms,*** face,the toe,and the Prandtl-type *** novel results can be used with great confidence in design practice,in particularly noting that the current industry-based design procedures for the presented problem are rarely found.

关键词： Bearing capacity Rock slope Vertical slope Finite element limit analysis Hoek-Brown yield criterion

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Effect of granite waste and steel fibers on the mechanical properties of geopolymer concrete before and after fire exposure

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Journal of Materials research and Technology 2025年 37卷 1106-1118页

作者： Peem Nuaklong Phonlayuth Thongpasuk Kantipok Hamcumpai Pitcha Jongvivatsakul Sawekchai Tangaramvong Thanyawat Pothisiri Suched Likitlersuang Research Unit in Science and Innovative Technologies for Civil Engineering Infrastructures Department of Civil Engineering Thammasat School of Engineering Faculty of Engineering Thammasat University Pathumthani 12120 Thailand Centre of Excellence in Innovative Construction Materials Department of Civil Engineering Faculty of Engineering Chulalongkorn University Bangkok 10330 Thailand GreenTech Nexus: Research Center for Sustainable Construction Innovation Faculty of Engineering Chulalongkorn University Bangkok 10330 Thailand Centre of Excellence in Applied Mechanics and Structures Department of Civil Engineering Faculty of Engineering Chulalongkorn University Bangkok 10330 Thailand Fire Safety Research Center Department of Civil Engineering Faculty of Engineering Chulalongkorn University Bangkok 10330 Thailand Centre of Excellence in Geotechnical and Geoenvironmental Engineering Department of Civil Engineering Faculty of Engineering Chulalongkorn University Bangkok 10330 Thailand

This study investigates the post-fire performance and mechanical properties of geopolymer concrete incorporating granite industry waste as a full replacement for natural fine aggregates, reinforced with steel fibers. High-calcium fly ash was used to produce high-strength concrete cured at room temperature. The results indicated that incorporating granite waste and steel fibers reduced workability due to increased internal friction. The lowest slump flow (37 cm), observed in the mix with 2 % steel fibers, represented a 38 % reduction compared to the control mixture. Despite the reduced workability, the concrete achieved a 28-day compressive strength of 55 MPa and a 45 % increase in flexural strength with 2 % steel fibers. Toughness improved by up to 13 times compared to concrete without fibers. Post-fire testing showed that granite-waste concrete retained mechanical performance comparable to that made with natural sand. After 30 min of fire exposure, the residual compressive strength of concrete without fibers dropped to 39 % of its original value, while flexural strength decreased by approximately 70 %. Incorporating 1 % steel fibers increased toughness by 1.7–2.2 times, whereas 2 % fibers enhanced flexural strength retention by up to 10 % after 60 min of exposure. Microstructural analysis confirmed that steel fibers delayed crack propagation and influenced the thermal transformation of gel phases by increasing the silicon-to-aluminum and calcium-to-silicon ratios. These findings highlight the potential of granite waste and steel fibers as sustainable alternatives to natural aggregates and conventional reinforcement for enhancing both fire resistance and mechanical performance in geopolymer concrete.

关键词： Geopolymer concrete Steel fibers Granite waste Post-fire performance Recycled aggregates

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Hygrothermomechanical loading-induced vibration study of multilayer piezoelectric nanoplates with functionally graded porous cores resting on a variable viscoelastic substrate

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International Journal of Thermofluids 2024年 23卷

作者： Jearsiripongkul, Thira Saffari, Peyman Roodgar Thongchom, Chanachai Lawongkerd, Jintara Saffari, Pouyan Roodgar Keawsawasvong, Suraparb Mitoulis, Stergios Aristoteles Research Unit in Advanced Mechanics of Solids and Vibration Department of Mechanical Engineering Thammasat School of Engineering Faculty of Engineering Thammasat University Pathumthani12120 Thailand Research Unit in Advanced Mechanics of Solids and Vibration Department of Civil Engineering Thammasat School of Engineering Faculty of Engineering Thammasat University Pathumthani12120 Thailand Research Unit in Structural and Foundation Engineering Department of Civil Engineering Faculty of Engineering Thammasat School of Engineering Thammasat University Pathumthani12120 Thailand Research Unit in Sciences and Innovative Technologies for Civil Engineering Infrastructures Department of Civil Engineering Faculty of Engineering Thammasat School of Engineering Thammasat University Pathumthani12120 Thailand Department of Civil Engineering School of Engineering University of Birmingham United Kingdom

Harnessing vibrations in multifunctional nanostructured plates is pivotal to next-gen microsystems but necessitates understanding scale effects under multifield loading. Investigated in this work are the forced and unforced vibrations of multilayered piezoelectric nanoplates supported on a variable viscoelastic medium and loaded hygrothermo-electromechanically with functionally graded porous (FGP) cores. The viscoelastic foundation is supposed to demonstrate non-linear changes in both stiffness and damping characteristics in the x-coordinate direction. The goal is to improve the accuracy of the results by using the nonlocal strain gradient theory (NSGT) and the third-order shear deformation assumption (TSDA), which include the effects of hardening and softening materials. The FGP core layer considers four states of porosity distribution patterns. These porosity distributions are expected to change in both the in-plane and thickness directions. The governing partial differential equations resulting from Hamilton's principle can be reduced to a system of algebraic equations by applying the Galerkin method. The parametric studies evaluate the effects of several factors, such as the initial electric voltage, viscoelastic medium parameters, moisture rise, temperature changes, porosity distributions, FG index, nonlocal and strain gradient features, and boundary conditions, on the vibration response. The novelty lies in the incorporation of advanced theories, such as the NSGT and TSDT, which capture size-dependent effects and material hardening/softening phenomena. Additionally, the consideration of four distinct porosity distribution patterns in the FGP core layer provides insights into the influence of porosity gradients on the dynamic response. The proposed model can guide the design and optimization of multifunctional nanostructured plates for applications in next-generation microsystems, energy harvesting devices, and smart structures. © 2024

关键词： Vibration analysis

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Vibration characteristics of multilayer functionally graded microplates with variable thickness reinforced by graphene platelets resting on the viscoelastic medium under thermal effects

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International Journal of Thermofluids 2024年 22卷

作者： Lawongkerd, Jintara Roodgar Saffari, Peyman Jearsiripongkul, Thira Thongchom, Chanachai Ismail, Sikiru Oluwarotimi Saffari, Pouyan Roodgar Keawsawasvong, Suraparb Department of Civil Engineering Thammasat School of Engineering Faculty of Engineering Thammasat University Pathumthani12120 Thailand Department of Mechanical Engineering Thammasat School of Engineering Faculty of Engineering Thammasat University Pathumthani12120 Thailand Research Unit in Structural and Foundation Engineering Department of Civil Engineering Faculty of Engineering Thammasat School of Engineering Thammasat University Pathumthani12120 Thailand Department of Engineering School of Physics Engineering and Computer Science University of Hertfordshire England HatfieldAL10 9AB United Kingdom Research Unit in Sciences and Innovative Technologies for Civil Engineering Infrastructures Department of Civil Engineering Faculty of Engineering Thammasat School of Engineering Thammasat University Pathumthani12120 Thailand

Due to their improved mechanical properties and adaptability, microplates with tailored variable thickness profiles are becoming essential parts of advanced micro- and nanoelectromechanical systems (MEMS and NEMS). This study conducts a thorough analytical analysis of the vibration properties of thermally loaded, multilayer functionally graded graphene platelet-reinforced composite (FG-GPLRC) microplates of linearly or parabolically varying thickness resting on viscoelastic medium under different boundary conditions. The Halpin–Tsai micromechanical model and the law of mixtures are employed to calculate the effective material characteristics for various reinforcement distributions in the microplate. These distributions encompass uniformly symmetric and asymmetric arrangements. The study utilized the first-order shear deformation theory (FSDT) in conjunction with the modified strain gradient theory (MSGT) and Hamilton's principle to generate the dynamic governing equations for the structure, accounting for size-dependent effects. The resulting equations are afterwards solved using the utilization of the Galerkin technique. This enables the evaluation of the proposed solution's correctness and precision. The impact of various factors on vibration behavior is investigated through numerical analysis. These factors encompass length scale parameters, temperature fluctuations, temperature distribution profiles, boundary conditions, the distribution pattern of the GPL, taper constants in both unidirectional and bidirectional scenarios, the weight fraction of the GPL. © 2024

关键词： Multilayers

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Mechanical and environmental characteristics of high calcium fly ash geopolymer stabilized soft Bangkok clay contaminated with zinc sludge

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Case Studies in Chemical and Environmental engineering 2023年 8卷

作者： Phojan, Worawit Luepongpattana, Supakorn Wonglakorn, Nattiya Thumrongvut, Jaksada Tabyang, Wisitsak Keawsawasvong, Suraparb Suksiripattanapong, Cherdsak Department of Civil Engineering Faculty of Engineering Northeastern University Khon Kaen 40000 Thailand Department of Civil Engineering Faculty of Engineering and Technology Rajamangala University of Technology Isan Nakhon Ratchasima 30000 Thailand Department of Information and Communication Technology Faculty of Sciences and Liberal Arts Rajamangala University of Technology Isan Nakhon Ratchasima 30000 Thailand Department of Civil Engineering Faculty of Engineering Rajamangala University of Technology Srivijaya Songkhla 90000 Thailand Research Unit in Sciences and Innovative Technologies for Civil Engineering Infrastructures Department of Civil Engineering Thammasat School of Engineering Thammasat University Pathumthani 12121 Thailand

Zinc sludge (ZS) is an environmentally detrimental heavy metal material. This study employs high-calcium fly ash geopolymer (FAG) to enhance the mechanical and environmental properties of ZS-contaminated soft Bangkok clay (SC). Rising ZS content reduces unconfined compressive strength (UCS) and permeability, attributed to the heavy metal's retarding impact on ZS, which leads to poor particle bonding. In the SEM-EDS analysis, the large voids in the ZS-SCFAG samples were clearly observed, confirming the retarding effect. The ZS-SCFAG sample containing 30% ZS exhibited sufficient UCS, permeability, and leaching values, meeting the requirements of U.S. EPA and HK EPD for landfill disposal. © 2023 The Authors

关键词： Geopolymer Heavy metal High calcium fly ash Zinc sludge

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Assessing misalignment effects on undrained HV capacity of caisson anchors in heterogeneous clays using a gradient Boosting–Differential evolution framework

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Ocean engineering 2025年 335卷

作者： Katavut Vichai Duy Tan Tran Jim Shiau Suraparb Keawsawasvong Pitthaya Jamsawang Research Unit in Sciences and Innovative Technologies for Civil Engineering Infrastructures Department of Civil Engineering Thammasat School of Engineering Thammasat University Pathumthani Thailand Institute of Civil Engineering Ho Chi Minh City University of Transport 02 Vo Oanh Binh Thanh District Ho Chi Minh City Viet Nam School of Engineering University of Southern Queensland Toowoomba 4350 QLD Australia Soil Engineering Research Center Department of Civil Engineering King Mongkut's University of Technology North Bangkok Bangkok 10800 Thailand

Misalignment is a critical factor influencing the horizontal-vertical (HV) load capacity of caisson foundation anchors. This study employs Finite Element Limit Analysis (FELA) integrated with a Gradient Boosting–Differential Evolution (GB-DE) framework to systematically investigate the impact of misalignment angles ( β = 0°–90°) across varying embedment ratios ( L/D ) and soil heterogeneity levels ( κ ). Results reveal that the HV capacity increases with the load inclination angle β . This effect is amplified with greater embedment depth and influenced by the degree of soil heterogeneity, highlighting the complex interaction between geometric and geotechnical parameters. The findings demonstrate that misalignment can enhance soil-structure interaction, leading to increased resistance capacity. The GB-DE model achieves high predictive accuracy (R 2 = 0.999), highlighting its effectiveness in optimizing caisson anchor performance under misaligned conditions. These insights emphasize the importance of incorporating misalignment considerations into anchor design to improve load-bearing efficiency and structural stability.

关键词： Caisson foundation Misalignment Undrained HV capacity Offshore anchoring

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