Structural shape optimization using self-adjusted convex approximation

被引：0
作者：
T. T. Chung
C. H. Chiou
机构：
[1] National Taiwan University,Department of Mechanical Engineering
来源：
Structural and Multidisciplinary Optimization | 2002年 / 24卷 / 3期
关键词：
convex approximation method; approximation concepts; shape optimization; structural optimization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This study researches the applications of Self-Adjusted Convex Approximation (SACA) in structural shape optimization problems. The B-spline curve is adopted as the mathematical representation of the structural shapes. The SACA method is based on the CONvex LINearization (CONLIN) method and has better accuracy and convergent rate. Numerical examples are offered and the results show that the proposed method is effective in the structural shape design.
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页码：218 / 224
页数：6
相关论文
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