Automatic damage localization for buildings based on incomplete measurements

碩士 === 國立中興大學 === 土木工程學系所 === 97 === This study presents an automatic damage localization technique to identify the location of damage for buildings based on dominant frequencies shifts through incomplete measurements. First, the pattern of modal properties of an original (undamaged) building is est...

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Main Authors: Chin-Te Liang, 梁晉得
Other Authors: Chi-Chang Lin
Format: Others
Language:zh-TW
Published: 2009
Online Access:http://ndltd.ncl.edu.tw/handle/83762487703419441564
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spelling ndltd-TW-097NCHU50150122016-04-29T04:19:42Z http://ndltd.ncl.edu.tw/handle/83762487703419441564 Automatic damage localization for buildings based on incomplete measurements 依有限量測之建築結構層間損壞自動化偵測 Chin-Te Liang 梁晉得 碩士 國立中興大學 土木工程學系所 97 This study presents an automatic damage localization technique to identify the location of damage for buildings based on dominant frequencies shifts through incomplete measurements. First, the pattern of modal properties of an original (undamaged) building is established. Then, its pattern of dominant modal frequencies changes is obtained after earthquake excitations. The location of damage is identified through comparison of these two patterns. In general, a damage detection that requires only the change in dominant frequencies would be reliable and robust because dominant frequencies are a global measure of structural characteristics. The technique is able to evaluate a building health condition by using only one floor measurements. Moreover, a fuzzy inference system (FIS) is applied to develop the pattern recognition system. The main advantage of the FIS is its inherent robustness and ability to handle nonlinearities and uncertainties in a system. Finally, a multi-story steel frame is considered to examine the proposed damage localization technique via numerical simulation and experimental data. The advantages and limitations of the damage localization technique are also investigated. Chi-Chang Lin 林其璋 2009 學位論文 ; thesis 175 zh-TW
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language zh-TW
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description 碩士 === 國立中興大學 === 土木工程學系所 === 97 === This study presents an automatic damage localization technique to identify the location of damage for buildings based on dominant frequencies shifts through incomplete measurements. First, the pattern of modal properties of an original (undamaged) building is established. Then, its pattern of dominant modal frequencies changes is obtained after earthquake excitations. The location of damage is identified through comparison of these two patterns. In general, a damage detection that requires only the change in dominant frequencies would be reliable and robust because dominant frequencies are a global measure of structural characteristics. The technique is able to evaluate a building health condition by using only one floor measurements. Moreover, a fuzzy inference system (FIS) is applied to develop the pattern recognition system. The main advantage of the FIS is its inherent robustness and ability to handle nonlinearities and uncertainties in a system. Finally, a multi-story steel frame is considered to examine the proposed damage localization technique via numerical simulation and experimental data. The advantages and limitations of the damage localization technique are also investigated.
author2 Chi-Chang Lin
author_facet Chi-Chang Lin
Chin-Te Liang
梁晉得
author Chin-Te Liang
梁晉得
spellingShingle Chin-Te Liang
梁晉得
Automatic damage localization for buildings based on incomplete measurements
author_sort Chin-Te Liang
title Automatic damage localization for buildings based on incomplete measurements
title_short Automatic damage localization for buildings based on incomplete measurements
title_full Automatic damage localization for buildings based on incomplete measurements
title_fullStr Automatic damage localization for buildings based on incomplete measurements
title_full_unstemmed Automatic damage localization for buildings based on incomplete measurements
title_sort automatic damage localization for buildings based on incomplete measurements
publishDate 2009
url http://ndltd.ncl.edu.tw/handle/83762487703419441564
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