最佳準則法於結構輕量化設計之應用; Application of Optimality Criteria to Minimum Weight Design of Structures

NCU Institutional Repository > 工學院 > 土木工程研究所 > 博碩士論文 > Item 987654321/1014

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.lib.ncu.edu.tw/handle/987654321/1014

题名:	最佳準則法於結構輕量化設計之應用;Application of Optimality Criteria to Minimum Weight Design of Structures
作者:	陳冠華;Kuan-Hua Chen
贡献者:	土木工程研究所
关键词:	最佳準則法;輕量化設計;兩階段設計程序;位移限制;應力限制;挫屈載重因子限制;optimality criteria method;minimum weight design;two-stage design procedure;displacement constraints;stress constraints;buckling load factor constraint
日期:	2008-06-23
上传时间:	2009-09-18 17:17:58 (UTC+8)
出版者:	國立中央大學圖書館
摘要:	本文主要是採用兩階段的最佳準則(Optimality Criteria)設計程序來進行結構輕量化問題，限制條件包括位移、應力及挫屈載重因子等限制。進行設計之前，先以Fully Stressed Design(FSD)程序對含有應力限制的問題調整設計變數。兩階段的最佳準則法設計程序是在第一階段採用較大更新因子快速搜尋近似最佳解，並於第二階段藉由降低更新因子以減緩移動步幅，來找出較佳之輕量化設計結果。數個桁架與剛構架的設計例的輕量化設計結果顯示，本研究建議之兩階段設計程序具備快速而穩定收斂的特性，求解品質亦相當接近文獻的結果，甚至更佳。 In this report, the minimum weight design of trusses and rigid frames by using a two-stage design procedure based on the optimality criteria method is studied. The behavior constraints considered in this study include the constraints on displacement, stress, and buckling load factor. In this study, the independent variables of a structure with stress constraints are adjusted by using the fully stressed design procedure first. Then, the variables are designed by using the two-stage design procedure. In the two-stage design procedure, a larger exponent of the recursive relation is used to search for a near optimal solution first, and a smaller exponent is then used in the second stage to slow down the moving velocity and to fine tune the solution quality. Several trusses and rigid frames studied in the literature are used to demonstrate the efficiency and the solution quality of the proposed design procedures. Comparative results show that the proposed optimality criteria method can efficiently find good quality solutions for the designed structures.
显示于类别:	[土木工程研究所] 博碩士論文

文件中的档案:

档案	大小	格式	浏览次数

在NCUIR中所有的数据项都受到原著作权保护.

社群 sharing

数据加载中.....