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Benliang Zhu
Researcher at South China University of Technology
Publications - 93
Citations - 1617
Benliang Zhu is an academic researcher from South China University of Technology. The author has contributed to research in topics: Topology optimization & Compliant mechanism. The author has an hindex of 18, co-authored 76 publications receiving 987 citations. Previous affiliations of Benliang Zhu include Kyoto University & University of Oldenburg.
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Design of compliant mechanisms using continuum topology optimization: A review
TL;DR: A survey of the state-of-the-art design advances in this research area over the past 20 years is presented and can be helpful to those engaged in the topology optimization of compliant mechanisms who desire to be apprised of the field’s recent state and research tendency.
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The Development of a New Piezoresistive Pressure Sensor for Low Pressures
TL;DR: Compared to other traditional diaphragm types, a significant increase in sensitivity can be achieved by the proposed sensor, and the membrane deflection and nonlinearity error considerably decrease.
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A 213-line topology optimization code for geometrically nonlinear structures
TL;DR: A 213-line MATLAB code for topology optimization of geometrically nonlinear structures developed based on the density method that adopts the ANSYS parametric design language (APDL) that provides convenient access to advanced finite element analysis (FEA).
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Topology optimization of hinge-free compliant mechanisms with multiple outputs using level set method
TL;DR: In this paper, a method for topology optimization of hinge-free compliant mechanisms with multiple outputs using level set method is presented, where two types of mean compliances are introduced and built in the proposed multi-objective function.
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A new level set method for topology optimization of distributed compliant mechanisms
Benliang Zhu,Xianmin Zhang +1 more
TL;DR: An accelerated level set evolution algorithm is developed by adding an extra energy function, which can force the level set function to close to a signed distance function during the evolution.