| 灰关联与人工神经网络在建筑物震害预测中的应用 |
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| 引用本文： | 汤皓,陈国兴.灰关联与人工神经网络在建筑物震害预测中的应用[J].地震工程与工程振动,2006,26(3):57-59. |
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| 作者姓名： | 汤皓 陈国兴 |
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| 作者单位： | 南京工业大学,岩土工程研究所,江苏,南京,210009 |
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| 基金项目： | 江苏省自然科学基金项目(BK2004124) |
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| 摘 要： | 基于灰关联识别方法,解析了各震害影响因子对多层砖房抗震性能的影响程度;并利用BP人工神经网络非线性模型对震害实例样本进行了训练。结果表明:利用灰关联分析,可得出各因子对多层砖房抗震性能影响程度的大小排序,有利于实际的工程抗震设计;基于BP人工神经网络模型的多层砖房的震害预测结果与震害实例的实际情况比较吻合,其思路和方法可推广于其他不同类型的建筑结构的震害预测。
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| 关 键 词： | 灰关联分析 BP人工神经网络 多层砖房 震害预测 |
| 文章编号： | 1000-1301（2006）03-0057-03 |
| 收稿时间： | 2005-12-20 |
| 修稿时间： | 2005-12-202006-03-10 |
Forecasting seismic damage to buildings based on grey relation and artificial neural network model |
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| Tang Hao,Chen Guoxing.Forecasting seismic damage to buildings based on grey relation and artificial neural network model[J].Earthquake Engineering and Engineering Vibration,2006,26(3):57-59. |
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| Authors: | Tang Hao Chen Guoxing |
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| Institution: | Institute of Geotechnical Engineering, Nanjing University of Technology, Nanjing 210009, China |
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| Abstract: | The influence factors that affect the earthquake-resistance performance of the multistory masonry buildings are analyzed.And the actual damage samples are trained by BP artificial neural network model.The research shows that the effect extent to the earthquake-resistance performance of these factors can be obtained by grey relation(analysis) and it can benefit the actual engineering design of earthquake-resistance and the prediction results are similar to the actual seismic damage of multistory masonry buildings by the grey relation and BP neural network mode,and the analytic method and process this paper discussed can also be applied to the seismic damage prediction of the other structures with different forms. |
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| Keywords: | grey relation analysis BP neural network multistory masonry building seismic damage prediction |
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