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基于相对小波熵的钢框架结构损伤程度识别研究

Study of steel frame structure damage identification based on relative wavelet entropy
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摘要 基于振动的结构损伤识别方法在应用过程中会遇到激励信息难以获得,实测模态参数不完备以及对有限元模型的依赖等问题。为此,利用地震激励下结构节点加速度响应,计算完好结构相对于损伤结构下的相对小波熵,得到该节点下的相对小波熵,利用不同损伤程度下相对小波熵值的大小来进行结构的损伤程度识别,通过对八层钢框架结构数值模型进行分析,结果表明该方法能够对结构损伤程度进行定性识别。 Structural damage identification method based on vibration in the process of application encounters such problems as difficult to obtain incentive information,incomplete measured modal parameters and dependence on the finite element model. For this purpose,by the use of acceleration response of structure under earthquake excitation node,the relative wavelet entropy of structure relative to the damaged structure was calculated as the relative wavelet entropy. Then using the relative wavelet entropy under different damage degree to conduct the structural damage identification,and the numerical model for eight layer of steel frame structure was analyzed. The results show that this method can used for the qualitative identification of structure damage degree.
出处 《工程建设》 2018年第2期17-21,共5页 Engineering Construction
关键词 钢框架结构 损伤识别 地震激励 相对小波熵 steel frame structure damage identification earthquake excitation relative wavelet entropy
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