English  |  正體中文  |  简体中文  |  Items with full text/Total items : 64305/97157 (66%)
Visitors : 6992145      Online Users : 4992
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/70811


    Title: 回應表面結構的階切模糊限制最佳化設計
    Other Titles: Single Level Cut Strategy in Response Surface Approximation for Structural Fuzzy Optimization
    Authors: 史建中;王正堯
    Contributors: 淡江大學機械與機電工程學系
    Keywords: 模糊最佳化;回應表面;近似法;結構最佳化設計;階切法;Fuzzy optimization;response surface,approximation optimization;structural optimization;level cut method
    Date: 2006-03
    Issue Date: 2011-10-23 21:48:03 (UTC+8)
    Publisher: 臺北縣淡水鎮:淡江大學
    Abstract: 本文介紹所發展的含有模糊允許值限制條件的模糊最佳化設計方法及程序,應用於求解只有有限元素分析數據的結構題目,或者應用於缺乏顯性解析函數的題目。首先介紹求解唯一解單切法的理念及應用於該類型的題目,所發展的最佳化設計方法也意味著對於求解多變數及多限制條件函數的情況特別有利。本文採用回應表面近似法模擬有限元素分析的數據以成為近似的顯性函數,特別討論與介紹對於處理模糊數(限制函數之允許模糊範圍)在近似顯性函數下的通用方法技術'尋此觀念所發展的序列式的解題法能有效得到合理正確解。
    This paper introduces a single level-cut approach included in the response surface technology by sequential quadratic programming to solve a practical design optimization problem in conjunction with the design of experiment containing fuzzy information. An algorithm considering the effectiveness of fuzzy optimization under approximation environment has been presented for a designer easily follows to programming. A three-bar truss is adopted as the example for verifying the effectiveness of the presenting approach.
    Relation: 第五屆海峽兩岸航空太空學術研討會論文集,頁335-338
    Appears in Collections:[機械與機電工程學系暨研究所] 會議論文

    Files in This Item:

    File SizeFormat
    index.html0KbHTML243View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback