建筑物地震损害鉴定的数值模拟方法
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摘要
介绍了钢框架建筑的地震损伤鉴定方法,通过一个简单的有限元模型获得网络训练所需的数据。用该方法模拟了一个仿真的四层建筑,研究了方法的鲁棒性、对质量变化的敏感性以及数据误差的影响。结果的统计分析是成功的,但也显示预测对数据误差相当敏感。
This article deals with a method for seismic dam- age identification in buildings with steel moment-frame structure. The damage identification is based on artificia neural networks and natural frequencies. A simplified finite element model is used to obtain the data needed for training the nets. The method is simulated on a four-storey building under conditions as close as possible to reality. The robust- ness of the method and its sensitivity to the variations of the mass in time and the influence of the data errors is ad- dressed. The statistical analysis of the results is successful, but it reveals that the predictions are quite sensitive to the data errors.
This article deals with a method for seismic dam- age identification in buildings with steel moment-frame structure. The damage identification is based on artificia neural networks and natural frequencies. A simplified finite element model is used to obtain the data needed for training the nets. The method is simulated on a four-storey building under conditions as close as possible to reality. The robust- ness of the method and its sensitivity to the variations of the mass in time and the influence of the data errors is ad- dressed. The statistical analysis of the results is successful, but it reveals that the predictions are quite sensitive to the data errors.
引文
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