Achieving stress-constrained topological design via length scale control
- Technion-Israel Institute of Technology, Haifa (Israel). Faculty of Civil and Environmental Engineering
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States). Univ. of Manchester (United Kingdom). School of Mechanical, Aerospace and Civil Engineering
A new suite of computational procedures for stress-constrained continuum topology optimization is presented. In contrast to common approaches for imposing stress constraints, herein it is proposed to limit the maximum stress by controlling the length scale of the optimized design. Several procedures are formulated based on the treatment of the filter radius as a design variable. This enables to automatically manipulate the minimum length scale such that stresses are constrained to the allowable value, while the optimization is driven to minimizing compliance under a volume constraint – without any direct constraints on stresses. Numerical experiments are presented that incorporate the following : 1) Global control over the filter radius that leads to a uniform minimum length scale throughout the design; 2) Spatial variation of the filter radius that leads to local manipulation of the minimum length according to stress concentrations; and 3) Combinations of the two above. The optimized designs provide high-quality trade-offs between compliance, stress and volume. From a computational perspective, the proposed procedures are efficient and simple to implement: essentially, stress-constrained topology optimization is posed as a minimum compliance problem with additional treatment of the length scale.
- Research Organization:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- Israeli Science Foundation; USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC52-07NA27344
- OSTI ID:
- 1809154
- Report Number(s):
- LLNL-JRNL--744100; 899076
- Journal Information:
- Structural and Multidisciplinary Optimization, Journal Name: Structural and Multidisciplinary Optimization Journal Issue: 5 Vol. 58; ISSN 1615-147X
- Publisher:
- SpringerCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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