Strength Prediction of Reinforced Concrete Beams and Columns under Fire Exposure
碩士 === 國立成功大學 === 土木工程學系碩博士班 === 94 === This paper employs a numerical method to evaluate the fire resistance reinforced concrete beams and columns under elevated temperature. The analytical results were then compared with the existing experimental data. There are two parts of analysis. First, ANSYS...
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ndltd-TW-094NCKU50150732016-05-30T04:22:00Z http://ndltd.ncl.edu.tw/handle/14367846519508942122 Strength Prediction of Reinforced Concrete Beams and Columns under Fire Exposure 鋼筋混凝土梁柱構件於火害中強度評估之研究 Cheng-Chung Lai 賴政忠 碩士 國立成功大學 土木工程學系碩博士班 94 This paper employs a numerical method to evaluate the fire resistance reinforced concrete beams and columns under elevated temperature. The analytical results were then compared with the existing experimental data. There are two parts of analysis. First, ANSYS program was used to determine the temperature distribution in a reinforced concrete section subject to standard temperature condition, and the analysis was compared with the existing data of CEB-FIP report. Second, considering the deterioration of material under fire damage, the fire resistance of reinforced concrete columns and beams was assessed according to the standard temperature condition. The results show that the temperature distribution in a reinforced concrete section analyzed by ANSYS program was close to the data of CEB-FIP report. The numerical analysis can reasonably predict the fire resistance of concentrically loaded columns with fc=0.1~0.4fc' and eccentrically loaded columns with the eccentricity varying from 1/20~1/2 times of the long side of column section. For the validation of continuous beams, the strength predictions in the sagging region were more accurate than those in hogging region. Keywords : fire resistance, ANSYS, reinforced concrete I-Kuang Fang 方一匡 2006 學位論文 ; thesis 95 zh-TW |
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碩士 === 國立成功大學 === 土木工程學系碩博士班 === 94 === This paper employs a numerical method to evaluate the fire resistance reinforced concrete beams and columns under elevated temperature. The analytical results were then compared with the existing experimental data.
There are two parts of analysis. First, ANSYS program was used to determine the temperature distribution in a reinforced concrete section subject to standard temperature condition, and the analysis was compared with the existing data of CEB-FIP report. Second, considering the deterioration of material under fire damage, the fire resistance of reinforced concrete columns and beams was assessed according to the standard temperature condition.
The results show that the temperature distribution in a reinforced concrete section analyzed by ANSYS program was close to the data of CEB-FIP report. The numerical analysis can reasonably predict the fire resistance of concentrically loaded columns with fc=0.1~0.4fc' and eccentrically loaded columns with the eccentricity varying from 1/20~1/2 times of the long side of column section. For the validation of continuous beams, the strength predictions in the sagging region were more accurate than those in hogging region.
Keywords : fire resistance, ANSYS, reinforced concrete
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author2 |
I-Kuang Fang |
author_facet |
I-Kuang Fang Cheng-Chung Lai 賴政忠 |
author |
Cheng-Chung Lai 賴政忠 |
spellingShingle |
Cheng-Chung Lai 賴政忠 Strength Prediction of Reinforced Concrete Beams and Columns under Fire Exposure |
author_sort |
Cheng-Chung Lai |
title |
Strength Prediction of Reinforced Concrete Beams and Columns under Fire Exposure |
title_short |
Strength Prediction of Reinforced Concrete Beams and Columns under Fire Exposure |
title_full |
Strength Prediction of Reinforced Concrete Beams and Columns under Fire Exposure |
title_fullStr |
Strength Prediction of Reinforced Concrete Beams and Columns under Fire Exposure |
title_full_unstemmed |
Strength Prediction of Reinforced Concrete Beams and Columns under Fire Exposure |
title_sort |
strength prediction of reinforced concrete beams and columns under fire exposure |
publishDate |
2006 |
url |
http://ndltd.ncl.edu.tw/handle/14367846519508942122 |
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