A Design Wind Load Expert System for Tall Building-Using Case-based Reasoning
碩士 === 淡江大學 === 土木工程學系 === 91 === Case-based reasoning is a problem-solving strategy that human use frequently when they think and reason about something. That is to say they use previous and similar experiences to solve a new problem. Traditional expert systems typically base on production rules ge...
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ndltd-TW-091TKU000150122015-10-13T13:35:32Z http://ndltd.ncl.edu.tw/handle/48490284170515646213 A Design Wind Load Expert System for Tall Building-Using Case-based Reasoning 案例式推理在高層建築設計風載重專家系統之應用 PingTai Teng 鄧秉泰 碩士 淡江大學 土木工程學系 91 Case-based reasoning is a problem-solving strategy that human use frequently when they think and reason about something. That is to say they use previous and similar experiences to solve a new problem. Traditional expert systems typically base on production rules generalized from domain related heuristics and use rule-based reasoning to deduce solutions. Wind tunnel experiments of scaled-down building models are usually conducted when we analyze the design wind load of tall buildings. However, the process is generally time-consuming and laborious. If we can use the technique of reasoning by analogy to analyze design wind loads, we will yield twice the result with half the effort. This research is about how to apply case-based reasoning to a design wind load expert system. This research developed a design wind load expert system for tall buildings using case-based reasoning concept to assist structural engineers to analyze building design wind loads at the preliminary design stage. The system is web-based and operates in a client-server environment. The user interface is built on Internet browsers using mostly JSP, and the case library and case-based inference engine are on an IIS server. Similar cases can then be selected, and design wind load modifications are taken cared using correction factors calculated by numerical programs written in Fortran. In addition, web-charting software is used to produce figures of wind spectra and loading distributions. This thesis established an expert system model that combines the quality of Internet and case-based reasoning for design wind load assessment. It utilized the merit of case-based reasoning to supplement the disadvantage of conventional expert systems. Furthermore, it was applied to the field of design wind load on tall buildings. Wang, Jenmu 王人牧 2003 學位論文 ; thesis 103 zh-TW |
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碩士 === 淡江大學 === 土木工程學系 === 91 === Case-based reasoning is a problem-solving strategy that human use frequently when they think and reason about something. That is to say they use previous and similar experiences to solve a new problem. Traditional expert systems typically base on production rules generalized from domain related heuristics and use rule-based reasoning to deduce solutions. Wind tunnel experiments of scaled-down building models are usually conducted when we analyze the design wind load of tall buildings. However, the process is generally time-consuming and laborious. If we can use the technique of reasoning by analogy to analyze design wind loads, we will yield twice the result with half the effort. This research is about how to apply case-based reasoning to a design wind load expert system.
This research developed a design wind load expert system for tall buildings using case-based reasoning concept to assist structural engineers to analyze building design wind loads at the preliminary design stage. The system is web-based and operates in a client-server environment. The user interface is built on Internet browsers using mostly JSP, and the case library and case-based inference engine are on an IIS server. Similar cases can then be selected, and design wind load modifications are taken cared using correction factors calculated by numerical programs written in Fortran. In addition, web-charting software is used to produce figures of wind spectra and loading distributions.
This thesis established an expert system model that combines the quality of Internet and case-based reasoning for design wind load assessment. It utilized the merit of case-based reasoning to supplement the disadvantage of conventional expert systems. Furthermore, it was applied to the field of design wind load on tall buildings.
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Wang, Jenmu |
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Wang, Jenmu PingTai Teng 鄧秉泰 |
author |
PingTai Teng 鄧秉泰 |
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PingTai Teng 鄧秉泰 A Design Wind Load Expert System for Tall Building-Using Case-based Reasoning |
author_sort |
PingTai Teng |
title |
A Design Wind Load Expert System for Tall Building-Using Case-based Reasoning |
title_short |
A Design Wind Load Expert System for Tall Building-Using Case-based Reasoning |
title_full |
A Design Wind Load Expert System for Tall Building-Using Case-based Reasoning |
title_fullStr |
A Design Wind Load Expert System for Tall Building-Using Case-based Reasoning |
title_full_unstemmed |
A Design Wind Load Expert System for Tall Building-Using Case-based Reasoning |
title_sort |
design wind load expert system for tall building-using case-based reasoning |
publishDate |
2003 |
url |
http://ndltd.ncl.edu.tw/handle/48490284170515646213 |
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