Novel methodology of non-probabilistic reliability-based topology optimization (NRBTO) for multi-material layout design via interval and convex mixed uncertainties

DOI10.1016/j.cma.2018.11.035zbMath1440.74315OpenAlexW2904927253WikidataQ128739731 ScholiaQ128739731MaRDI QIDQ1986906

Juxi Hu, Lei Wang, Dongliang Liu, Yaowen Yang

Publication date: 9 April 2020

Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cma.2018.11.035

zbMATH Keywords

reliability-based topology optimizationmulti-material structuresadjoint-variable modelextended power-law interpolation schememixture of interval and convex uncertainties

Mathematics Subject Classification ID

Topological methods for optimization problems in solid mechanics (74P15)

Related Items (8)

Reliability-based topology optimization for heterogeneous composite structures under interval and convex mixed uncertainties ⋮ Topology optimization of structures considering local material uncertainties in additive manufacturing ⋮ SVR-TO-APMA: hybrid efficient modelling and topology framework for stable topology optimization with accelerated performance measure approach ⋮ Multi‐material topology optimization method for transient thermal structure with constraint on permissible temperatures ⋮ Robust topological design of actuator-coupled structures with hybrid uncertainties ⋮ Non-probabilistic reliability-based topology optimization (NRBTO) scheme for continuum structures based on the parameterized level-set method and interval mathematics ⋮ New hybrid reliability-based topology optimization method combining fuzzy and probabilistic models for handling epistemic and aleatory uncertainties ⋮ A novel sensitivity index for analyzing the response of numerical models with interval inputs

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