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Three-Dimensional Meshfree Analysis of Interlocking Concrete Blocks for Step Seawall Structure

Computers, Materials & Continua 2021年第1期66卷 165-178页

作者： Hau Nguyen-Ngoc hnguyen-xuan Magd Abdel-Wahab Soete Laboratory Faculty of Engineering and ArchitectureGhent UniversityTechnologiepark Zwijnaarde 903B-9052ZwijnaardeBelgium University of Science and Technology The University of DanangDa Nang CityVietnam CIRTech Institute Ho Chi Minh City University of TechnologyHo Chi Minh CityVietnam Division of Computational Mechanics Ton Duc Thang UniversityHo Chi Minh CityVietnam Faculty of Civil Engineering Ton Duc Thang UniversityHo Chi Minh CityVietnam

This study adapts the flexible characteristic of meshfree method in analyzing three-dimensional(3D)complex geometry structures,which are the interlocking concrete blocks of step *** elastostatic behavior of the block is analysed by solving the Galerkin weak form formulation over local support *** 3D moving least square(MLS)approximation is applied to build the interpolation functions of *** pre-defined number of nodes in an integration domain ranging from 10 to 60 nodes is also investigated for their effect on the studied *** accuracy and efficiency of the studied method on 3D elastostatic responses are validated through the comparison with the solutions of standard finite element method(FEM)using linear shape functions on tetrahedral elements and the well-known commercial software,*** results show that elastostatic responses of studied concrete block obtained by meshfree method converge faster and are more accurate than those of standard *** studied meshfree method is effective in the analysis of static responses of complex geometry *** amount of discretised nodes within the integration domain used in building MLS shape functions should be in the range from 30 to 60 nodes and should not be less than 20 nodes.

关键词： Meshfree method local support domain moving least square shape function 3D elastostatic behavior complex geometry

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Data-driven approach to solve vertical drain under time-dependent loading

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Frontiers of Structural and Civil Engineering 2021年第3期15卷 696-711页

作者： Trong NGHIA-NGUYEN Mamoru KIKUMOTO Samir KHATIR Salisa CHAIYAPUT hnguyen-xuan Thanh CUONG-LE Department of Civil Engineering Yokohama National UniversityYokohama 240-8501Japan Faculty of Civil Engineering Ho Chi Minh City Open UniversityHo Chi Minh City 70000Vietnam Department of Electrical Energy MetalsMechanical Constructions and SystemsFaculty of Engineering and ArchitectureGhent UniversityGhent 9000Belgium Department of Civil Engineering School of EngineeringKing Mongkut’s Institute of Technology LadkrabangBangkok 10520Thailand CIRTECH Institute Ho Chi Minh City University of Technology(HUTECH)Ho Chi Minh City 708300Vietnam

Currently,the vertical drain consolidation problem is solved by numerous analytical solutions,such as time-dependent solutions and linear or parabolic radial drainage in the smear zone,and no artificial intelligence(AI)approach has been ***,in this study,a new hybrid model based on deep neural networks(DNNs),particle swarm optimization(PSO),and genetic algorithms(GAs)is proposed to solve this *** DNN can effectively simulate any sophisticated equation,and the PSO and GA can optimize the selected DNN and improve the performance of the prediction *** the present study,analytical solutions to vertical drains in the literature are incorporated into the DNN–PSO and DNN–GA prediction models with three different radial drainage patterns in the smear zone under timedependent *** verification performed with analytical solutions and measurements from three full-scale embankment tests revealed promising applications of the proposed approach.

关键词： vertical drain artificial neural network time-dependent loading deep learning network genetic algorithm particle swarm optimization

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