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Cited 13 time in webofscience Cited 16 time in scopus
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Development of Pareto topology optimization considering thermal loads

Authors
Takalloozadeh, MeisamYoon, Gil Ho
Issue Date
Apr-2017
Publisher
ELSEVIER SCIENCE SA
Keywords
Topology optimization; Sensitivity analysis; Pareto method; Thermal load; Drucker-Prager criterion
Citation
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, v.317, pp.554 - 579
Indexed
SCIE
SCOPUS
Journal Title
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
Volume
317
Start Page
554
End Page
579
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/20455
DOI
10.1016/j.cma.2016.12.030
ISSN
0045-7825
Abstract
In this research, we developed a level-set based topology optimization with a topological derivative formulation considering thermal load. Thermo-elasticity equations were utilized to obtain the sensitivity of the objective function after inserting a small hole in the domain. Total strain energy and the maximum stress in the design domain were taken as the objective functions. After taking the thermal loading effect into account, the total strain energy density function became a nonhomogeneous function of the strain. In addition, temperature variation changed Hooke's law from a linear homogeneous to a linear nonhomogeneous expression including a zero order term. We derived the sensitivity value of the selected objective functions with respect to a perturbation in the structural domain under mechanical and thermal loads while considering these changes in the governing equations. We performed several numerical optimization problems to demonstrate the validity of the present level-set based Pareto topology optimization. Two types of examples (compliance and stress minimization) were solved based on the chosen objective functions. Furthermore, in the stress minimization examples, the derived formula was extended to consider thermal effects in the failure theories for pressure independent and dependent materials.
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COLLEGE OF ENGINEERING (SCHOOL OF MECHANICAL ENGINEERING)
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