Modified Strategies For Automatic Shape Optimization Based on Optimal Structural Topology

碩士 === 國立臺灣科技大學 === 機械工程系 === 92 === In size optimization and shape optimization, the shape of structure and settings of design variables defined by experience and knowledge of engineers always determin the optimization result. The automatic shape optimization can be achieved by integrating topology...

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Main Author: 林琮敏
Other Authors: 林 其 禹
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/38894006020717674848
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spelling ndltd-TW-092NTUST4890122015-10-13T13:28:04Z http://ndltd.ncl.edu.tw/handle/38894006020717674848 Modified Strategies For Automatic Shape Optimization Based on Optimal Structural Topology 以最佳結構拓樸為基之形狀最佳化修正技術 林琮敏 碩士 國立臺灣科技大學 機械工程系 92 In size optimization and shape optimization, the shape of structure and settings of design variables defined by experience and knowledge of engineers always determin the optimization result. The automatic shape optimization can be achieved by integrating topology optimization, image processing technique, hole stretch strategy and shape optimization. Unfortunately, the existing automatic shape optimization method can''t handle the interventions between holes or outline and holes. A conservative strategy of design variable setting is used to avoid interventions occurred and it also restricts the search space of optimization. In this paper, modified strategies of automatic shape optimization method were introduced. Since the intervention problem can be solved by proposed intervention treatment strategy, a modified hole stretch strategy can be applied to make design variables multiplex and extend the bounds of design variables and theatrically improve the varieties of structure shape. The automatic shape optimization with modified strategies was tested in five shape optimization problems and obtained great optimization result in each test problem. 林 其 禹 2004 學位論文 ; thesis 80 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 === 92 === In size optimization and shape optimization, the shape of structure and settings of design variables defined by experience and knowledge of engineers always determin the optimization result. The automatic shape optimization can be achieved by integrating topology optimization, image processing technique, hole stretch strategy and shape optimization. Unfortunately, the existing automatic shape optimization method can''t handle the interventions between holes or outline and holes. A conservative strategy of design variable setting is used to avoid interventions occurred and it also restricts the search space of optimization. In this paper, modified strategies of automatic shape optimization method were introduced. Since the intervention problem can be solved by proposed intervention treatment strategy, a modified hole stretch strategy can be applied to make design variables multiplex and extend the bounds of design variables and theatrically improve the varieties of structure shape. The automatic shape optimization with modified strategies was tested in five shape optimization problems and obtained great optimization result in each test problem.
author2 林 其 禹
author_facet 林 其 禹
林琮敏
author 林琮敏
spellingShingle 林琮敏
Modified Strategies For Automatic Shape Optimization Based on Optimal Structural Topology
author_sort 林琮敏
title Modified Strategies For Automatic Shape Optimization Based on Optimal Structural Topology
title_short Modified Strategies For Automatic Shape Optimization Based on Optimal Structural Topology
title_full Modified Strategies For Automatic Shape Optimization Based on Optimal Structural Topology
title_fullStr Modified Strategies For Automatic Shape Optimization Based on Optimal Structural Topology
title_full_unstemmed Modified Strategies For Automatic Shape Optimization Based on Optimal Structural Topology
title_sort modified strategies for automatic shape optimization based on optimal structural topology
publishDate 2004
url http://ndltd.ncl.edu.tw/handle/38894006020717674848
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