Mixed reliability-oriented topology optimization for thermo-mechanical structures with multi-source uncertainties

With the rapid development of topology optimization methodology in engineering application, how to deal with the multi-source uncertainties incurs more and more attention. In this study, an efficient single-loop method is proposed for reliability-based topology optimization (RBTO) of coupled thermo-...

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Published in:Engineering with computers Vol. 38; no. 6; pp. 5489 - 5505
Main Authors: Meng, Zeng, Guo, Liangbing, Yıldız, Ali Rıza, Wang, Xuan
Format: Journal Article
Language:English
Published: London Springer London 01-12-2022
Springer Nature B.V
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Abstract With the rapid development of topology optimization methodology in engineering application, how to deal with the multi-source uncertainties incurs more and more attention. In this study, an efficient single-loop method is proposed for reliability-based topology optimization (RBTO) of coupled thermo-mechanical continuum structure under multi-source uncertainties. To this end, a novel coupled thermo-mechanical RBTO model composed of triple-nested loops is first constructed based on fuzzy and probability theories, which aims to deal with the multi-source uncertainty factors, such as temperature rise fluctuation, thermal load variation, material property uncertainty, and manufacture tolerance. Second, a new mixed RBTO approach with single-loop is adopted to eliminate the nested triple loops, which aims to promote computational efficiency. Finally, the effectiveness and high performance of the proposed method are validated through a cantilever beam, clamped beam, and three-dimensional structure.
AbstractList With the rapid development of topology optimization methodology in engineering application, how to deal with the multi-source uncertainties incurs more and more attention. In this study, an efficient single-loop method is proposed for reliability-based topology optimization (RBTO) of coupled thermo-mechanical continuum structure under multi-source uncertainties. To this end, a novel coupled thermo-mechanical RBTO model composed of triple-nested loops is first constructed based on fuzzy and probability theories, which aims to deal with the multi-source uncertainty factors, such as temperature rise fluctuation, thermal load variation, material property uncertainty, and manufacture tolerance. Second, a new mixed RBTO approach with single-loop is adopted to eliminate the nested triple loops, which aims to promote computational efficiency. Finally, the effectiveness and high performance of the proposed method are validated through a cantilever beam, clamped beam, and three-dimensional structure.
Author Wang, Xuan
Yıldız, Ali Rıza
Meng, Zeng
Guo, Liangbing
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  givenname: Liangbing
  surname: Guo
  fullname: Guo, Liangbing
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  givenname: Ali Rıza
  surname: Yıldız
  fullname: Yıldız, Ali Rıza
  organization: Department of Automotive Engineering, Uludağ University
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  orcidid: 0000-0003-2485-7095
  surname: Wang
  fullname: Wang, Xuan
  email: xuanwang@hfut.edu.cn
  organization: Institute of Applied Mechanics, School of Civil Engineering, Hefei University of Technology
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Keywords Multi-source uncertainties
Fuzzy
Probabilistic
Reliability-based topology optimization
Coupled thermo-mechanical problem
Language English
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Snippet With the rapid development of topology optimization methodology in engineering application, how to deal with the multi-source uncertainties incurs more and...
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crossref
springer
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StartPage 5489
SubjectTerms Boundary conditions
CAE) and Design
Calculus of Variations and Optimal Control; Optimization
Cantilever beams
Civil engineering
Classical Mechanics
Computer Science
Computer-Aided Engineering (CAD
Control
Epistemology
Heat conductivity
Load
Load fluctuation
Material properties
Math. Applications in Chemistry
Mathematical and Computational Engineering
Methods
Nested loops
Optimization
Original Article
Systems Theory
Thermal analysis
Topology optimization
Uncertainty
Title Mixed reliability-oriented topology optimization for thermo-mechanical structures with multi-source uncertainties
URI https://link.springer.com/article/10.1007/s00366-022-01662-1
https://www.proquest.com/docview/2745182118
Volume 38
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