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Mingtao Cui

Researcher at Xidian University

Publications -  19
Citations -  229

Mingtao Cui is an academic researcher from Xidian University. The author has contributed to research in topics: Topology optimization & Randomness. The author has an hindex of 7, co-authored 18 publications receiving 153 citations. Previous affiliations of Mingtao Cui include McGill University.

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A level-set based multi-material topology optimization method using a reaction diffusion equation

TL;DR: A level-set based multi-material topology optimization method using a reaction diffusion equation, which provides a representation of M materials and one void phase and the geometrical complexity of optimal solutions can be easily controlled by appropriately setting a regularization parameter.
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Probabilistic dynamic analysis of truss structures

TL;DR: In this article, the problem of dynamic analysis of truss structures based on probability is studied, and the expressions of numeral characteristics of inherence frequency random variable are derived from the Rayleigh quotient.
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Dynamic response analysis of linear stochastic truss structures under stationary random excitation

TL;DR: In this article, a new method for the dynamic response analysis of linear stochastic truss structures under stationary random excitation is presented, considering the randomness of the structural physical parameters and geometric dimensions.
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A meshless method for multi-material topology optimization based on the alternating active-phase algorithm

TL;DR: A meshless method based on the alternating active-phase algorithm is proposed for the multi-material topology optimization problems and since the element-free Galerkin (EFG) method is applied to analyze the structure, sensitivity filtering is avoided and mesh-dependence phenomena are alleviated.
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Multi-material proportional topology optimization based on the modified interpolation scheme

TL;DR: The effectiveness and feasibility of the proposed PTO method are demonstrated by several typical numerical examples of multi-material topology optimization, in which the optimal design with distinct boundaries can be obtained.