Damage Detection in Multi-bay Three-dimensional Structures through an Entropy-based Structural Health Monitoring System
碩士 === 國立交通大學 === 土木工程系所 === 105 === A structural health monitoring (SHM) system based on multi-scale cross-sample entropy (MSCE) is proposed in this work to detect damage locations in multi-bay three-dimensional structures. The location of damage is evaluated for each bay through MSCE analysis by e...
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ndltd-TW-105NCTU50150732019-05-16T00:08:10Z http://ndltd.ncl.edu.tw/handle/6gy32r Damage Detection in Multi-bay Three-dimensional Structures through an Entropy-based Structural Health Monitoring System 應用交叉取樣熵於多跨三維結構之健康診斷評估 Ana Gabriela Laínez 賴佳荷 碩士 國立交通大學 土木工程系所 105 A structural health monitoring (SHM) system based on multi-scale cross-sample entropy (MSCE) is proposed in this work to detect damage locations in multi-bay three-dimensional structures. The location of damage is evaluated for each bay through MSCE analysis by examining the degree of dissimilarity between the response signals of vertically adjacent floors. Subsequently, the results are quantified by the damage index (DI). The performance of the proposed SHM system was determined by conducting a numerical simulation on a multi-bay seven-story structure. According to the results obtained, the SHM system used in this work can successfully detect the damaged floors and their respective directions for several cases. Furthermore, it provides a preliminary assessment as to which bay has been more severely affected. Thus, the effectiveness and high potential of the SHM system for locating damage in large and complex structures quickly and at low cost is demonstrated. Lin, Tzu-Kang 林子剛 2017 學位論文 ; thesis 74 en_US |
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碩士 === 國立交通大學 === 土木工程系所 === 105 === A structural health monitoring (SHM) system based on multi-scale cross-sample entropy (MSCE) is proposed in this work to detect damage locations in multi-bay three-dimensional structures. The location of damage is evaluated for each bay through MSCE analysis by examining the degree of dissimilarity between the response signals of vertically adjacent floors. Subsequently, the results are quantified by the damage index (DI). The performance of the proposed SHM system was determined by conducting a numerical simulation on a multi-bay seven-story structure. According to the results obtained, the SHM system used in this work can successfully detect the damaged floors and their respective directions for several cases. Furthermore, it provides a preliminary assessment as to which bay has been more severely affected. Thus, the effectiveness and high potential of the SHM system for locating damage in large and complex structures quickly and at low cost is demonstrated.
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Lin, Tzu-Kang |
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Lin, Tzu-Kang Ana Gabriela Laínez 賴佳荷 |
author |
Ana Gabriela Laínez 賴佳荷 |
spellingShingle |
Ana Gabriela Laínez 賴佳荷 Damage Detection in Multi-bay Three-dimensional Structures through an Entropy-based Structural Health Monitoring System |
author_sort |
Ana Gabriela Laínez |
title |
Damage Detection in Multi-bay Three-dimensional Structures through an Entropy-based Structural Health Monitoring System |
title_short |
Damage Detection in Multi-bay Three-dimensional Structures through an Entropy-based Structural Health Monitoring System |
title_full |
Damage Detection in Multi-bay Three-dimensional Structures through an Entropy-based Structural Health Monitoring System |
title_fullStr |
Damage Detection in Multi-bay Three-dimensional Structures through an Entropy-based Structural Health Monitoring System |
title_full_unstemmed |
Damage Detection in Multi-bay Three-dimensional Structures through an Entropy-based Structural Health Monitoring System |
title_sort |
damage detection in multi-bay three-dimensional structures through an entropy-based structural health monitoring system |
publishDate |
2017 |
url |
http://ndltd.ncl.edu.tw/handle/6gy32r |
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