桥梁损伤识别方法、装置及终端设备
本发明适用于桥梁损伤识别技术领域,提供了一种桥梁损伤识别方法、装置及终端设备,该方法包括:获取目标桥梁多个位置的宏应变数据;将每个位置的宏应变数据均分解为多个IMF分量;对于任意一个宏应变数据对应的多个IMF分量,根据各个IMF分量的Hilbert边际谱和Hilbert能量谱,确定最优IMF分量;计算各个最优IMF分量的瞬时振幅,并根据各个瞬时振幅进行自相关函数计算和互相关函数计算,得到瞬时振幅相关矩阵;基于瞬时振幅相关矩阵对目标桥梁进行损伤识别。本发明能够准确识别中小跨径桥梁损伤,且不依赖健康无损数据,具有良好的适应性。 The invention is suitable for the t...
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Format | Patent |
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Language | Chinese |
Published |
19.11.2024
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Subjects | |
Online Access | Get full text |
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Summary: | 本发明适用于桥梁损伤识别技术领域,提供了一种桥梁损伤识别方法、装置及终端设备,该方法包括:获取目标桥梁多个位置的宏应变数据;将每个位置的宏应变数据均分解为多个IMF分量;对于任意一个宏应变数据对应的多个IMF分量,根据各个IMF分量的Hilbert边际谱和Hilbert能量谱,确定最优IMF分量;计算各个最优IMF分量的瞬时振幅,并根据各个瞬时振幅进行自相关函数计算和互相关函数计算,得到瞬时振幅相关矩阵;基于瞬时振幅相关矩阵对目标桥梁进行损伤识别。本发明能够准确识别中小跨径桥梁损伤,且不依赖健康无损数据,具有良好的适应性。
The invention is suitable for the technical field of bridge damage identification, and provides a bridge damage identification method and device and terminal equipment, and the method comprises the steps: obtaining macro strain data of a plurality of positions of a target bridge; decomposing the macro strain data of each position into a plurality of IMF components; for a plurality of IMF components corresponding to any macro strain data, determining an optimal IMF component according to the Hilbert marginal spectrum and the Hilbert energy spectrum of each IMF component; calculating the instantaneous amplitude of each optimal IMF component, and performing autocorrelation function calculation and cross-correlation function calculation according to eac |
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Bibliography: | Application Number: CN202111594137 |