Numerical simulation of stress-based topological optimization of continuum structures under casting constraints

This paper, based on an extended bi-directional evolutionary structural optimization method, proposes a design approach to minimize the maximum von Mises stress of continuum structures subject to both material use and casting constraints. The stress singularity phenomenon is avoided naturally by the...

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Bibliographic Details
Published inEngineering with computers Vol. 38; no. 6; pp. 4919 - 4945
Main Authors Han, Yongsheng, Wang, Qian
Format Journal Article
LanguageEnglish
Published London Springer London 01.12.2022
Springer Nature B.V
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Summary:This paper, based on an extended bi-directional evolutionary structural optimization method, proposes a design approach to minimize the maximum von Mises stress of continuum structures subject to both material use and casting constraints. The stress singularity phenomenon is avoided naturally by the technique of discrete variable of the bi-directional evolutionary structural optimization method. The maximum von Mises stress is approximated by the global p -norm stress aggregation approach, and the adjoint method is adopted to derive the sensitivity numbers. Both sensitivity numbers and topological variables are filtered to overcome the highly nonlinear stress behavior and stabilize the optimization procedure. A series of comparison studies have been conducted to validate the effectiveness and practicability of the method on several benchmark design problems. Both two and four parting directions are investigated in this paper. The examples exhibit significant difference in the final topologies for designs with casting constraints. The casting constraints limit the range of solutions to topology optimization problems. Designs with casting constraints seek to satisfy manufacturability of the optimized structure at the expense of structural strength performance. The study demonstrates the importance of strength criteria for the design of continuum structures under casting constraints.
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ISSN:0177-0667
1435-5663
DOI:10.1007/s00366-021-01512-6