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SCI-E Article

Topology optimization based on the harmony search method
Author Lee, Seung-Min (Sch Mech Engn); 한석영 (Sch Mech Engn);
Corresponding Author Info Han, SY (reprint author), Hanyang Univ, Sch Mech Engn, 222 Wangsimni Ro, Seoul, South Korea.
E-mail 씠硫붿씪 븘씠肄syhan@hanyang.ac.kr
Document Type Article
Source JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Volume:31 Issue:6 Pages:2875-2882 Published:2017
Times Cited 0
External Information PDF 븘씠肄http://dx.doi.org/10.1007/s12206-017-0530-5
Abstract A new topology optimization scheme based on a Harmony search (HS) as a metaheuristic method was proposed and applied to static stiffness topology optimization problems. To apply the HS to topology optimization, the variables in HS were transformed to those in topology optimization. Compliance was used as an objective function, and harmony memory was defined as the set of the optimized topology. Also, a parametric study for Harmony memory considering rate (HMCR), Pitch adjusting rate (PAR), and Bandwidth (BW) was performed to find the appropriate range for topology optimization. Various techniques were employed such as a filtering scheme, simple average scheme and harmony rate. To provide a robust optimized topology, the concept of the harmony rate update rule was also implemented. Numerical examples are provided to verify the effectiveness of the HS by comparing the optimal layouts of the HS with those of Bidirectional evolutionary structural optimization (BESO) and Artificial bee colony algorithm (ABCA). The following conclusions could be made: (1) The proposed topology scheme is very effective for static stiffness topology optimization problems in terms of stability, robustness and convergence rate. (2) The suggested method provides a symmetric optimized topology despite the fact that the HS is a stochastic method like the ABCA. (3) The proposed scheme is applicable and practical in manufacturing since it produces a solid-void design of the optimized topology. (4) The suggested method appears to be very effective for large scale problems like topology optimization.
Web of Science Categories Engineering, Mechanical
Funding
Language English
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