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Computer Modeling in Engineering & Sciences 2025年第1期142卷 691-712页

作者： Quynh-Anh thi Bui Dam duc nguyen Hiep Van Le Indra Prakash Binh thai Pham Civil Engineering Department University of Transport Technology54 Trieu KhucThanh XuanHanoi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India

Determination of Shear Bond strength(SBS)at interlayer of double-layer asphalt concrete is crucial in flexible pavement *** study used three Machine Learning(ML)models,including K-Nearest Neighbors(KNN),Extra trees(Et),and Light Gradient Boosting Machine(LGBM),to predict SBS based on easily determinable input ***,the Grid Search technique was employed for hyper-parameter tuning of the ML models,and cross-validation and learning curve analysis were used for training the *** models were built on a database of 240 experimental results and three input variables:temperature,normal pressure,and tack coat *** validation was performed using three statistical criteria:the coefficient of determination(R2),the Root Mean Square Error(RMSE),and the mean absolute error(MAE).Additionally,SHAP analysis was also used to validate the importance of the input variables in the prediction of the *** show that these models accurately predict SBS,with LGBM providing outstanding ***(Shapley Additive explanation)analysis for LGBM indicates that temperature is the most influential factor on ***,the proposed ML models can quickly and accurately predict SBS between two layers of asphalt concrete,serving practical applications in flexible pavement structure design.

关键词： Shear bond asphalt pavement grid search optimization machine learning

Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 467-500页

作者： Landslide Susceptibility Mapping Using RBFN-Based Ensemble Machine Learning Models duc-Dam nguyen nguyen Viet tiep Quynh-Anh thi Bui Hiep Van Le Indra Prakash Romulus Costache Manish Pandey Binh thai Pham Faculty of Civil Engineering University of Transport TechnologyThanh XuanHa Noi100000Vietnam Faculty of Hydraulic Engineering Hanoi University of Civil EngineeringHa Noi100000Vietnam DDG(R)Geological Survey of India Gandhinagar382010India Research Institute of the University of Bucharest Bucharest050663Romania National Institute of Hydrology and Water Management Bucharest013686Romania Department of Civil Engineering Transilvania University of BrasovBrasov500152Romania Danube Delta National Institute for Research and Development Tulcea820112Romania Marwadi University Research Center(MURC) Marwadi UniversityRajkotGujaratBharat360003India Department of Civil Engineering Faculty of Engineering&TechnologyMarwadi UniversityRajkotGujaratBharat360003India

this study was aimed to prepare landslide susceptibility maps for the Pithoragarh district in Uttarakhand,India,using advanced ensemble models that combined Radial Basis Function Networks(RBFN)with three ensemble learning techniques:DAGGING(DG),MULtIBOOSt(MB),and ADABOOSt(AB).this combination resulted in three distinct ensemble models:DG-RBFN,MB-RBFN,and ***,a traditional weighted method,Information Value(IV),and a benchmark machine learning(ML)model,Multilayer Perceptron Neural Network(MLP),were employed for comparison and *** models were developed using ten landslide conditioning factors,which included slope,aspect,elevation,curvature,land cover,geomorphology,overburden depth,lithology,distance to rivers and distance to *** factors were instrumental in predicting the output variable,which was the probability of landslide *** analysis of the models’performance indicated that the DG-RBFN model,with an Area Under ROC Curve(AUC)of 0.931,outperformed the other *** AB-RBFN model achieved an AUC of 0.929,the MB-RBFN model had an AUC of 0.913,and the MLP model recorded an AUC of *** results suggest that the advanced ensemble ML model DG-RBFN was more accurate than traditional statistical model,single MLP model,and other ensemble models in preparing trustworthy landslide susceptibility maps,thereby enhancing land use planning and decision-making.

关键词： Landslide susceptibility map spatial analysis ensemble modelling information values(IV)

A higher order coupled frequency characteristics study of smart magneto-electro-elastic composite plates with cut-outs using finite element methods

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Defence technology（防务技术） 2021年第1期17卷 100-118页

作者： M.Vinyas D.Harursampath t.nguyen thoi Nonlinear Multifunctional Composites Analysis and Design(NMCAD)Laboratory Department of Aerospace EngineeringIndian Institute of ScienceBangalore560012India Division of Computational Mathematics and Engineering Institute for Computational ScienceTon Duc Thang UniversityHo Chi Minh CityViet Nam Faculty of Civil Engineering Ton Duc Thang UniversityHo Chi Minh CityViet Nam

this article deals with investigating the effect of cut-outs on the natural frequencies of magneto-electroelastic(MEE)plates incorporating finite element methods based on higher order shear deformation theory(HSDt).In order to consider the influence of cut-out,the energy of the cut-out domain is subtracted from the total energy of the entire *** governing equations of motions are derived through incorporating Hamilton’s principle and the solution is obtained using condensation *** proposed numerical formulation is verified with the results of previously published literature as well as the numerical *** addition,this research focuses on evaluating the effect of geometrical skewness and boundary conditions on the frequency *** influence of cut-outs on the degree of coupling between magnetic,electric and elastic fields is also investigated.

关键词： Cut-out Magneto-electro-elastic Natural frequency Higher order shear deformation Coupling

Influence of active constrained layer damping on the coupled vibration response of functionally graded magneto-electro-elastic plates with skewed edges

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Defence technology（防务技术） 2020年第5期16卷 1019-1038页

作者： M.Vinyas D.Harursampath t.nguyen-thoi Nonlinear Multifunctional Composites Analysis and Design(NMCAD)Laboratory Department of Aerospace EngineeringIndian Institute of ScienceBangalore560012India Division of Computational Mathematics and Engineering Institute for Computational ScienceTon Duc Thang UniversityHo Chi Minh CityViet Nam Faculty of Civil Engineering Ton Duc Thang UniversityHo Chi Minh CityViet Nam

this article makes the first attempt in assessing the influence of active constrained layer damping(ACLD)treatment towards precise control of frequency responses of functionally graded skew-magneto-electroelastic(FGSMEE)plates by employing finite element *** materials are functionally graded across the thickness of the plate in terms of modest power-law *** principal equations of motion of FGSMEE are derived via Hamilton’s principle and solved using condensation *** effect of ACLD patches are modelled by following the complex modulus approach(CMA).Additionally,distinctive emphasis is laid to evaluate the influence of geometrical skewness on the attenuation capabilities of the *** accuracy of the current analysis is corroborated with comparison of previous researches of similar ***,a complete parametric study is directed to understand the combined impacts of various factors like coupling fields,patch location,fiber orientation of piezoelectric patch in association with skew angle and power-law index.

关键词： Vibration control Functionally graded MEE plates Skew angle Active constrained layer damping(ACLD) patches

A deep feed-forward neural network for damage detection in functionally graded carbon nanotube-reinforced composite plates using modal kinetic energy

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Frontiers of Structural and Civil Engineering 2021年第6期15卷 1453-1479页

作者： Huy Q.LE tam t.tRUONG D.DINH-CONG t.nguyen-tHOI Division of Computational Mathematics and Engineering Institute for Computational ScienceTon Duc Thang UniversityHo Chi Minh City 700000Vietnam Faculty of Civil Engineering Ho Chi Minh City University of TransportHo Chi Minh City 700000Vietnam Division of Construction Computation Institute for Computational ScienceTon Duc Thang UniversityHo Chi Minh City 700000Vietnam Faculty of Civil Engineering Ton Duc Thang UniversityHo Chi Minh City 700000Vietnam

this paper proposes a new Deep Feed-forward Neural Network(DFNN)approach for damage detection in functionally graded carbon nanotube-reinforced composite(FG-CNtRC)*** the proposed approach,the DFNN model is developed based on a data set containing 20000 samples of damage scenarios,obtained via finite element(FE)simulation,of the FG-CNtRC *** elemental modal kinetic energy(MKE)values,calculated from natural frequencies and translational nodal displacements of the structures,are utilized as input of the DFNN model while the damage locations and corresponding severities are considered as *** state-of-the art Exponential Linear Units(ELU)activation function and the Adamax algorithm are employed to train the DFNN ***,in order to enhance the performance of the DFNN model,the mini-batch and early-stopping techniques are applied to the training process.A trial-and-error procedure is implemented to determine suitable parameters of the network such as the number of hidden layers and the number of neurons in each *** accuracy and capability of the proposed DFNN model are illustrated through two distinct configurations of the CNt-fibers constituting the FG-CNtRC plates including uniform distribution(UD)and functionally graded-V distribution(FG-VD).Furthermore,the performance and stability of the DFNN model with the consideration of noise effects on the input data are also *** results indicate that the proposed DFNN model is able to give sufficiently accurate damage detection outcomes for the FG-CNtRC plates for both cases of noise-free and noise-influenced data.

关键词： damage detection deep feed-forward neural networks functionally graded carbon nanotube-reinforced composite plates modal kinetic energy

Stem cell-based therapy for human diseases

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Signal transduction and targeted therapy 2022年第9期7卷 3242-3282页

作者： duc M.Hoang Phuong t.Pham trung Q.Bach Anh t.L.Ngo Quyen t.nguyen trang t.K.Phan Giang H.nguyen Phuong t.t.Le Van t.Hoang Nicholas R.Forsyth Michael Heke Liem thanh nguyen Department of Research and Development Vinmec Research Institute of Stem Cell and Gene TechnologyVinmec Healthcare SystemHanoiVietnam Department of Cellular therapy Vinmec High.Tech CenterVinmec Healthcare SsystemHanoiVietnam Institute for Science&technology in Medicine Keele UniversityKeeleUK a Department of Biology Stanford UniversityStanfordCAUSA

Recent advancements in stem cell technology open a new door for patients suffering from diseases and disorders that have yet to be *** cell-based therapy,including human pluripotent stem cells(hPsCs)and multipotent mesenchymal stem cells(MSCs),has recently emerged as a key player in regenerative *** are defined as self-renewable cell types conferring the ability to differentiate into various cellular phenotypes of the human body,including three germ *** are multipotent progenitor cells possessing self-renewal ability(limited in vitro)and differentiation potential into mesenchymal lineages,according to the International Society for Cell and Gene therapy(ISCt).this review provides an update on recent clinical applications using either hPSCs or MSCs derived from bone marrow(BM),adipose tissue(At),or the umbilical cord(UC)for the treatment of human diseases,including neurological disorders,pulmonary dysfunctions,metabolic/endocrine-related diseases,reproductive disorders,skin burns,and cardiovascular ***,we discuss our own clinical trial experiences on targeted therapies using MsCs in a clinical setting,and we propose and discuss the MSC tissue origin concept and how MSC origin may contribute to the role of MSCs in downstream applications,with the ultimate objective of facilitating translational research in regenerative medicine into clinical *** mechanisms discussed here support the proposed hypothesis that BM-MSCs are potentially good candidates for brain and spinal cord injury treatment,At-MSCs are potentially good candidates for reproductive disorder treatment and skin regeneration,and UC-MsCs are potentially good candidates for pulmonary disease and acute respiratory distress svndrometreatment.

关键词： diseases distress treatment

truly optimal semi-active damping to control free vibration of a single degree of freedom system

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theoretical & Applied Mechanics Letters 2024年第2期14卷 142-145页

作者： Viet duc La Ngoc tuan nguyen Institute of Mechanics Vietnam Academy of Science and TechnologyHanoi 10000Vietnam Graduate University of Science and technology Vietnam Academy of Science and TechnologyHanoi 10000Vietnam

this paper studies a single degree of freedom system under free vibration and controlled by a general semiactive damping.A general integral of squared error is considered as the performance index.A one-time switching damping controller is proposed and *** pontryagin maximum principle is used to prove that no other form of semi-active damping can provide the better performance than the proposed one-time switching damping.

关键词： Analytical optimization Quadratic integral Lyapunov equation Pontryagin maximum principle

Anti‐sloshing control:Flatness‐based trajectory planning and tracking control with an integrated extended state observer

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IEt Cyber-Systems and Robotics 2024年第3期6卷 31-48页

作者： Khanh nguyen Viet Minh Do duc thanh Cao duc tung Lam nguyen School of Electrical and Electronic Engineering Hanoi University of Science and TechnologyHanoiVietnam Vietnam Maritime University HaiphongVietnam

the phenomenon of sloshing causes a significantly negative impact on a wide range of industries.A time‐optimal flatness‐based trajectory planning and Lyapunov‐based model predictive control(LMPC)is proposed for trajectory tracking of a transmitting cylindrical container filled with ***,this research presents an equivalent discrete model based on a mass‐spring‐damper ***,after the flatness of the adopted non‐linear model for 2D is established,time‐optimal trajectories are introduced.A control method called LMPC is shown to solve the problem of orbital tracking,which allows setting limits for state *** addition,to ensure system performance,a linear extended state observer(LESO)is integrated to cope with system ***,the efficiency of the proposed approach for liquid sloshing suppression and tracking is illustrated by simulations.

关键词： control dynamic model motion planning

Enhancing compressive strength and durability of self-compacting concrete modified with controlled-burnt sugarcane bagasse ash-blended cements

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Frontiers of Structural and Civil Engineering 2022年第2期16卷 161-174页

作者： duc-Hien LE Yeong-Nain SHEEN Khanh-Hung nguyen Sustainable Developments in Civil Engineering Research Group Faculty of Civil EngineeringTon Duc Thang UniversityHo Chi Minh City700000Vietnam Department of Civil Engineering Kaohsiung University of Science and TechnologyKaohsiung80778China Department of Civil Engineering Lac Hong UniversityBien Hoa810000Vietnam

In sugar industries,the growing amount of sugarcane bagasse ash(SBA),a byproduct released after burning bagasse for producing electricity,is currently causing environmental *** residual ash displays a pozzolanic potential;and hence,it has potential as a cement *** study focuses on enhancing suitability of SBA through incorporating ground blast furnace slag(BFS)in manufacturing self-compacting concretes(SCCs).For this purpose,SBA was processed by burning at 700°C for 1 h,before being ground to the cement fineness of 4010 cm2/*** mixtures were prepared by changing the proportions of SBA and BFS(i.e.,10%,20%,and 30%)in blended systems;and their performance was *** results showed that the presence of amorphous silica was detected for the processed SBA,revealing that the strength activity index was above 80%.the compressive strength of SCC containing SBA(without BFS)could reach 98%–127%of that of the control;combination of SBA and 30%BFS gets a similar strength to the control after 28 *** durability,the 10%SBA+30%BFS mix exhibited the lowest risk of ***,the joint use of SBA and BFS enhanced significantly the SCC’s sulfate ***,a hyperbolic formula for interpolating the compressive strength of the SBA-based SCC was proposed and validated with error range estimated within±10%.

关键词： sugarcane bagasse ash self-compacting concrete compressive strength sulfate resistance water absorption strength formula