研究生: |
林劍城 Chien-Cheng Lin |
---|---|
論文名稱: |
橋梁上部結構工法評選模式之建立-應用模糊偏好新相似度量測方法 Evaluation and Selection of Construction Method For Bridge Upper Structure-Using New Similarity Measure Method |
指導教授: |
鄭明淵
Min-Yuan Cheng |
口試委員: |
蔡明修
none 吳育偉 none |
學位類別: |
碩士 Master |
系所名稱: |
工程學院 - 營建工程系 Department of Civil and Construction Engineering |
論文出版年: | 2013 |
畢業學年度: | 101 |
語文別: | 中文 |
論文頁數: | 80 |
中文關鍵詞: | 橋梁上部結構工法 、案例式推理 、模糊偏好關係 、新相似度方法 |
外文關鍵詞: | case-based reasoning, the upper bridge construction method, fuzzy preference relation, new similarity measure |
相關次數: | 點閱:282 下載:1 |
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橋梁工程係於都會區施工,沿線人口稠密、高樓林立,尤其又有限期完成之沉重壓力,故傳統工程管理方式無法符合橋梁工程需求。為增進土地資源有效運用並避免大量的拆遷,興建路線大多沿市鎮外緣或山區佈設,又因地震頻繁,人口越來越密集,國道一號五楊拓寬段之通車及各縣市橋梁工程陸續修建拓寬,可見橋梁比例越來越高。目前,國內橋梁管理機關針對橋梁工程資料,已開始著手進行規劃建置資料庫的工作,但尚未作有效之應用如何由資料之分析應用,亦為橋梁工程相關研究之重要課題。
主要研究成果包括:(1)蒐集國內興建完成或施工中橋梁上部結構工程歷史案例資料之建檔、歸納整理;(2)以案例式推理(Case-Based Reasoning,CBR)為基礎,建立橋梁上部結構工法影響因子,藉由Fuzzy Preference Relations(FPR)問卷調查之應用,訂定各上部結構工法項目之相對權重;(3)以新相似度量測(NSM)方法進行991筆橋梁上部結構工程案例之資料,建立橋梁上部結構工法案例推論模式,以進行相似案例搜尋,透過相似案例採取能準確提供工法選擇發生決策之參考。
The research endeavor focuses on developing an automated construction method evaluation and selection system for bridge upper structure using case-based reasoning (CBR) method. CBR is an area of research in Artificial Intelligence (AI). The knowledge base for a CBR system comprises a set of cases rather than s set of rules that make up a traditional rule-based system. A CBR system solves a problem by reusing solution(s) to similar problems that were solved previously. The objective of this study is to develop a model that can suggest a construction for a new bridge project based on the description of a new project and by reusing previous cases.
In addition to developing the system, 991 bridge projects collected from Taiwan Area National Expressway Engineering Bureau were modeled and stored as a case base so that they can be used in the system. Interview and questionnaire were conducted to identify the influencing factors considered by the experts in determining the construction method for the bridge upper structure. The weight of the factor was obtained using Fuzzy Preference Relations (FPR) and New Similarity Measure (NSM) method. Eleven similarity assessment methods were applied in this study. Considering the possible defects for the application of the individual assessment method, this research created and developed a new assessment method named FPNSM method. Using the method, the priority of the construction methods that most similarity assessment methods suggested can not only be identified, but the accuracy of assessment can also be ensured.
The primary features of the study are as follows: (1) investigate the method and process experts used for evaluating and selecting the construction method for bridge upper structure. (2) develop “case-based reasoning (CBR) method” for the bridge projects and applying the FPR questionnaire to stipulate relative weights of each item to be examined, (3) using FPNSM to examine 991 automated construction method evaluation and selection system for bridge upper structure, establish the case-based inference model of selection system for bridge upper structure and search for similar cases.
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