T
Trinh Bui
Researcher at Tokyo Institute of Technology
Publications - 14
Citations - 184
Trinh Bui is an academic researcher from Tokyo Institute of Technology. The author has contributed to research in topics: Finite element method & Shell (structure). The author has an hindex of 6, co-authored 12 publications receiving 131 citations. Previous affiliations of Trinh Bui include Duy Tan University.
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Structural shape optimization by IGABEM and particle swarm optimization algorithm
TL;DR: A new approach is developed for structural shape optimization, which consists in coupling the particle swarm optimization (PSO) algorithm and the isogeometric boundary element method (IGA-BEM), which provides an attractive gradient-free alternative to complicated analysis.
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Application of 6-DOFs meshfree modeling to linear buckling analysis of stiffened plates with curvilinear surfaces
Murat Ozdemir,S. Sadamoto,S. Sadamoto,Satoyuki Tanaka,Shigenobu Okazawa,Tiantang Yu,Trinh Bui +6 more
TL;DR: In this article, the buckling analysis of stiffened plates including curvilinear surfaces is carried out by an effective mesh-free model, which enables the assembly of curved shells for the modeling of more complex structures.
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Numerical buckling analysis for flat and cylindrical shells including through crack employing effective reproducing kernel meshfree modeling
TL;DR: In this article, a crack model is introduced into the curved shell geometry for analyzing cracked cylinder buckling problems effectively, and the results shed light on the significant effects of considered configurations on buckling coefficients and mode shapes.
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Finite rotation meshfree formulation for geometrically nonlinear analysis of flat, curved and folded shells
TL;DR: In this article, a geometrically nonlinear analysis of flat, curved and folded shells under finite rotations is performed by enhanced six degrees of freedom (6-DOFs) mesh-free formulation.
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Rice land protection in a transitional economy: The case of Vietnam
TL;DR: In this article, the optimal level of rice land protected against other crops is determined using a stochastic optimization model built on top of a general equilibrium framework, combined with sequential micro-simulations on household data.