Modeling and Safety Evaluation of Bridge Structure
碩士 === 逢甲大學 === 土木工程所 === 98 === As Taiwan is located at the junction of two tectonic plates with frequent natural disasters such as earthquakes, such conditions increase the possibility of bridge damage. Thus, the aged bridge for testing and safety assessment is increasingly imperative. This study...
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ndltd-TW-098FCU050150372016-04-20T04:18:20Z http://ndltd.ncl.edu.tw/handle/58440164200900273397 Modeling and Safety Evaluation of Bridge Structure 橋梁結構模型建置與安全評估 Shang-Heng Chung 鍾尚恒 碩士 逢甲大學 土木工程所 98 As Taiwan is located at the junction of two tectonic plates with frequent natural disasters such as earthquakes, such conditions increase the possibility of bridge damage. Thus, the aged bridge for testing and safety assessment is increasingly imperative. This study was based on previous studies, Mao-Lo-Hsi bridge in Taiwan as an example, and bridge structure model using the established value of Alert-Action for bridge maintenance guidelines. By comparing different sections of the maximum displacement of bridge, statistical regression analysis was used to explore the correlation. Hence, information for bridge safety assessment is proposed, which can mitigate losses in properties and lives. A regression analysis of the maximum displacements between sections D and E of the considered bridge at the axial, horizontal, and vertical directions under various seismic intensity was conducted, respectively, as shown: R-squared are 0.9462、0.9352 and 0.9010. (the ideal R-squared value is 1.) The developed maintenance guidelines can be trusted, because all the parameters of the 95% confidence interval excluded zero. The bridge values of alert and action were determined for the location of the bridge site when the earthquake intensity reaches level 4 and 5, respectively. Jeng-Wen Lin 林正紋 2010 學位論文 ; thesis 62 zh-TW |
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碩士 === 逢甲大學 === 土木工程所 === 98 === As Taiwan is located at the junction of two tectonic plates with frequent natural disasters such as earthquakes, such conditions increase the possibility of bridge damage. Thus, the aged bridge for testing and safety assessment is increasingly imperative. This study was based on previous studies, Mao-Lo-Hsi bridge in Taiwan as an example, and bridge structure model using the established value of Alert-Action for bridge maintenance guidelines. By comparing different sections of the maximum displacement of bridge, statistical regression analysis was used to explore the correlation. Hence, information for bridge safety assessment is proposed, which can mitigate losses in properties and lives. A regression analysis of the maximum displacements between sections D and E of the considered bridge at the axial, horizontal, and vertical directions under various seismic intensity was conducted, respectively, as shown: R-squared are 0.9462、0.9352 and 0.9010. (the ideal R-squared value is 1.) The developed maintenance guidelines can be trusted, because all the parameters of the 95% confidence interval excluded zero. The bridge values of alert and action were determined for the location of the bridge site when the earthquake intensity reaches level 4 and 5, respectively.
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author2 |
Jeng-Wen Lin |
author_facet |
Jeng-Wen Lin Shang-Heng Chung 鍾尚恒 |
author |
Shang-Heng Chung 鍾尚恒 |
spellingShingle |
Shang-Heng Chung 鍾尚恒 Modeling and Safety Evaluation of Bridge Structure |
author_sort |
Shang-Heng Chung |
title |
Modeling and Safety Evaluation of Bridge Structure |
title_short |
Modeling and Safety Evaluation of Bridge Structure |
title_full |
Modeling and Safety Evaluation of Bridge Structure |
title_fullStr |
Modeling and Safety Evaluation of Bridge Structure |
title_full_unstemmed |
Modeling and Safety Evaluation of Bridge Structure |
title_sort |
modeling and safety evaluation of bridge structure |
publishDate |
2010 |
url |
http://ndltd.ncl.edu.tw/handle/58440164200900273397 |
work_keys_str_mv |
AT shanghengchung modelingandsafetyevaluationofbridgestructure AT zhōngshànghéng modelingandsafetyevaluationofbridgestructure AT shanghengchung qiáoliángjiégòumóxíngjiànzhìyǔānquánpínggū AT zhōngshànghéng qiáoliángjiégòumóxíngjiànzhìyǔānquánpínggū |
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