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Mechanics Based Design of Structures and Machines
An International Journal
Volume 45, 2017 - Issue 2
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Research Paper

Truss topology optimization under uncertain nodal locations with proportional topology optimization method

Zhifang FuSchool of Mechanical Engineering and Automation, Beihang University, Beijing, ChinaCorrespondence[email protected]
,
Chunjie WangState Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China
&
Junpeng ZhaoSchool of Mechanical Engineering and Automation, Beihang University, Beijing, China
Pages 190-206 | Received 21 Oct 2015, Accepted 06 Mar 2016, Published online: 15 Jul 2016

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Read on this site (2)

XiaoKui Ma, ZhengQi Gu, ZhengTong Han, ChengJi Mi & XiangZhong Jin. (2022) Anti-fatigue optimization of mining dump truck frame joint with discrete design variables. Mechanics Based Design of Structures and Machines 50:9, pages 3140-3156.
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A. Kaveh & M. R. Seddighian. (2022) Domain decomposition of finite element models utilizing eight meta-heuristic algorithms: A comparative study. Mechanics Based Design of Structures and Machines 50:8, pages 2616-2634.
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Articles from other publishers (5)

Jinhu Cai, Long Huang, Hongyu Wu & Lairong Yin. (2023) Topology optimization of truss structure under load uncertainty with gradient‑free proportional topology optimization method. Structures 58, pages 105377.
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Ali Mortazavi & Mahsa Moloodpoor. (2021) Enhanced Butterfly Optimization Algorithm with a New fuzzy Regulator Strategy and Virtual Butterfly Concept. Knowledge-Based Systems 228, pages 107291.
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Wei Shen, Makoto Ohsaki & Makoto Yamakawa. (2021) Robust geometry and topology optimization of plane frames using order statistics and force density method with global stability constraint. International Journal for Numerical Methods in Engineering 122:14, pages 3653-3677.
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Aditya Vishwanathan & Gareth A. Vio. (2019) Efficient quantification of material uncertainties in reliability-based topology optimization using random matrices. Computer Methods in Applied Mechanics and Engineering 351, pages 548-570.
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Aditya Vishwanathan, David Munk & Gareth A. Vio. (2019) Experimental and Parametric Study on Uncertainty Quantification within Topology Optimization utilizing Non-Intrusive Polynomial Chaos Theory. Experimental and Parametric Study on Uncertainty Quantification within Topology Optimization utilizing Non-Intrusive Polynomial Chaos Theory.

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