An evolutionary shape optimization for elastic contact problems subject to multiple load cases
Li, Wei, Li, Qing, Steven, Grant P., and Xie, Y.M. (2005) An evolutionary shape optimization for elastic contact problems subject to multiple load cases. Computer Methods in Applied Mechanics and Engineering, 194 (30-33). pp. 3394-3415.
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Most structures in the real life are subject to multiple load cases. This paper aims at extending the evolutionary structural optimization (ESO) algorithm to optimal contact shape design for elastic bodies under the multiple load cases. To evaluate the reference stresses of each contact node in a finite element framework, an extreme stress criterion (the worst case design) and a weighted average criterion (Pareto design) are presented. In the extreme stress method, the highest nodal contact stress under all load cases is adopted as the reference level. In the weighted average method, the weighted sum of nodal contact stresses over all the load cases is regarded as the reference. It is found that these two criteria can produce different results. In this paper, the examples are presented to demonstrate some new features of contact shape optimization in the presence of the multiple load cases.
|Item Type:||Article (Refereed Research - C1)|
|Keywords:||elastic contact; finite element analysis; multiple load cases; shape optimization; unilateral constraint|
|Date Deposited:||30 Nov 2010 06:42|
|FoR Codes:||09 ENGINEERING > 0912 Materials Engineering > 091202 Composite and Hybrid Materials @ 40%
09 ENGINEERING > 0915 Interdisciplinary Engineering > 091599 Interdisciplinary Engineering not elsewhere classified @ 40%
09 ENGINEERING > 0903 Biomedical Engineering > 090301 Biomaterials @ 20%
|SEO Codes:||87 CONSTRUCTION > 8703 Construction Materials Performance and Processes > 870302 Metals (e.g. Composites, Coatings, Bonding) @ 50%
86 MANUFACTURING > 8613 Transport Equipment > 861301 Aerospace Equipment @ 30%
87 CONSTRUCTION > 8799 Other Construction > 879999 Construction not elsewhere classified @ 20%
|Citation Count from Web of Science||