Achieving stress-constrained topological design via length scale control
Publication type: Journal Article
Publication date: 2018-06-08
scimago Q1
wos Q1
SJR: 1.339
CiteScore: 8.4
Impact factor: 4.0
ISSN: 1615147X, 16151488
Computer Science Applications
Computer Graphics and Computer-Aided Design
Software
Control and Systems Engineering
Control and Optimization
Abstract
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.
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Total citations:
24
Citations from 2024:
5
(20.83%)
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GOST
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Amir O., Lazarov B. S. Achieving stress-constrained topological design via length scale control // Structural and Multidisciplinary Optimization. 2018. Vol. 58. No. 5. pp. 2053-2071.
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Amir O., Lazarov B. S. Achieving stress-constrained topological design via length scale control // Structural and Multidisciplinary Optimization. 2018. Vol. 58. No. 5. pp. 2053-2071.
Cite this
RIS
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TY - JOUR
DO - 10.1007/s00158-018-2019-y
UR - https://doi.org/10.1007/s00158-018-2019-y
TI - Achieving stress-constrained topological design via length scale control
T2 - Structural and Multidisciplinary Optimization
AU - Amir, Oded
AU - Lazarov, Boyan S
PY - 2018
DA - 2018/06/08
PB - Springer Nature
SP - 2053-2071
IS - 5
VL - 58
SN - 1615-147X
SN - 1615-1488
ER -
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BibTex (up to 50 authors)
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@article{2018_Amir,
author = {Oded Amir and Boyan S Lazarov},
title = {Achieving stress-constrained topological design via length scale control},
journal = {Structural and Multidisciplinary Optimization},
year = {2018},
volume = {58},
publisher = {Springer Nature},
month = {jun},
url = {https://doi.org/10.1007/s00158-018-2019-y},
number = {5},
pages = {2053--2071},
doi = {10.1007/s00158-018-2019-y}
}
Cite this
MLA
Copy
Amir, Oded, et al. “Achieving stress-constrained topological design via length scale control.” Structural and Multidisciplinary Optimization, vol. 58, no. 5, Jun. 2018, pp. 2053-2071. https://doi.org/10.1007/s00158-018-2019-y.