4.7 Article

Topology optimization of elasto-plastic structures under reliability constraints: A first order approach

Journal

COMPUTERS & STRUCTURES
Volume 243, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compstruc.2020.106406

Keywords

Topology optimization; Reliability analysis; Elasto-plastic analysis

Funding

  1. National Research, Development and Innovation Office - Joint grant of the Hungarian [K 119440, TKP2020 NC, BME-NCS]
  2. Polish Academy of Sciences

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The study aims to propose a simple and efficient method for reliability based topology optimization for structures made of elasto-plastic material, tracking the probability of structural failure and ensuring safety levels specified by the designer. It combines yield-limited topology optimization with reliability analysis using a first order approach, demonstrating effectiveness on benchmark problems and the elasto-plastic topology design of L-shape structures frequently used in stress constrained topology optimization approaches.
The objective of this study is to propose a relatively simple and efficient method for reliability based topology optimization for structures made of elasto-plastic material. The process of determining the optimal topology of elasto-perfectly plastic structures is associated with the removal of material from the structure. Such a process leads to weakening of structural strength and stiffness causing at the same time increase the likelihood of structural failure. An important aspect of engineering design is to track this probability during the optimization process and not allow the structure safety to exceed a certain level specified by the designer. The purpose of this work is to combine the previously developed yield-limited topology optimization method with reliability analysis using first order approach. Effectiveness of the proposed methodology is demonstrated on benchmark problems proposed by Rozvany and Maute, and the elasto-plastic topology design of L-shape structure which is frequently used in different approaches for stress constrained topology optimization. (C) 2020 The Author(s). Published by Elsevier Ltd.

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