An Advanced Unconstrained Multicriterion Topology Optimization Method

碩士 === 國立臺灣科技大學 === 機械工程系 === 103 === This paper provides a simple but robust algorithm, the Advanced Unconstrained Multicriterion Topology Optimization method (AUMTO), which can obtain the minimum-compliance optimal structure that simultaneously meets the additional stress and/or displacement limit...

Full description

Bibliographic Details
Main Authors: Cheng-You Wu, 吳承祐
Other Authors: Chyi-Yeu Lin
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/49066173201785893378
id ndltd-TW-103NTUS5489148
record_format oai_dc
spelling ndltd-TW-103NTUS54891482016-11-06T04:19:40Z http://ndltd.ncl.edu.tw/handle/49066173201785893378 An Advanced Unconstrained Multicriterion Topology Optimization Method 改良型無限制條件之多目標函數拓樸最佳化方法 Cheng-You Wu 吳承祐 碩士 國立臺灣科技大學 機械工程系 103 This paper provides a simple but robust algorithm, the Advanced Unconstrained Multicriterion Topology Optimization method (AUMTO), which can obtain the minimum-compliance optimal structure that simultaneously meets the additional stress and/or displacement limits. This innovative unconstrained multicriterion function approach can expand the searching domain to increase the probability of getting the global optimum, reduce the computation time, and be robust to the variations of different initial design selections. The robustness, simplicity and high efficiency of the AUMTO algorithm are fully demonstrated by the three illustrative problems including two cantilever beams and one L-shaped cantilever beam. Chyi-Yeu Lin 林其禹 2015 學位論文 ; thesis 93 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺灣科技大學 === 機械工程系 === 103 === This paper provides a simple but robust algorithm, the Advanced Unconstrained Multicriterion Topology Optimization method (AUMTO), which can obtain the minimum-compliance optimal structure that simultaneously meets the additional stress and/or displacement limits. This innovative unconstrained multicriterion function approach can expand the searching domain to increase the probability of getting the global optimum, reduce the computation time, and be robust to the variations of different initial design selections. The robustness, simplicity and high efficiency of the AUMTO algorithm are fully demonstrated by the three illustrative problems including two cantilever beams and one L-shaped cantilever beam.
author2 Chyi-Yeu Lin
author_facet Chyi-Yeu Lin
Cheng-You Wu
吳承祐
author Cheng-You Wu
吳承祐
spellingShingle Cheng-You Wu
吳承祐
An Advanced Unconstrained Multicriterion Topology Optimization Method
author_sort Cheng-You Wu
title An Advanced Unconstrained Multicriterion Topology Optimization Method
title_short An Advanced Unconstrained Multicriterion Topology Optimization Method
title_full An Advanced Unconstrained Multicriterion Topology Optimization Method
title_fullStr An Advanced Unconstrained Multicriterion Topology Optimization Method
title_full_unstemmed An Advanced Unconstrained Multicriterion Topology Optimization Method
title_sort advanced unconstrained multicriterion topology optimization method
publishDate 2015
url http://ndltd.ncl.edu.tw/handle/49066173201785893378
work_keys_str_mv AT chengyouwu anadvancedunconstrainedmulticriteriontopologyoptimizationmethod
AT wúchéngyòu anadvancedunconstrainedmulticriteriontopologyoptimizationmethod
AT chengyouwu gǎiliángxíngwúxiànzhìtiáojiànzhīduōmùbiāohánshùtàpǔzuìjiāhuàfāngfǎ
AT wúchéngyòu gǎiliángxíngwúxiànzhìtiáojiànzhīduōmùbiāohánshùtàpǔzuìjiāhuàfāngfǎ
AT chengyouwu advancedunconstrainedmulticriteriontopologyoptimizationmethod
AT wúchéngyòu advancedunconstrainedmulticriteriontopologyoptimizationmethod
_version_ 1718391708988735488