基于非线性声学参数的层析成像结构损伤定位方法、装置、终端及介质

By using a tomographic imaging method based on nonlinear acoustic parameters, nonlinear parameters are obtained and iteratively inverted, solving the problem of inaccurate damage localization in large-volume, multi-layered, and complex components in existing technologies, and achieving efficient imaging of hidden defects inside structures.

CN122193414BActive Publication Date: 2026-07-17HARBIN INSTITUTE OF TECHNOLOGY (SHENZHEN) (INSTITUTE OF SCIENCE AND TECHNOLOGY INNOVATION HARBIN INSTITUTE OF TECHNOLOGY SHENZHEN)

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
HARBIN INSTITUTE OF TECHNOLOGY (SHENZHEN) (INSTITUTE OF SCIENCE AND TECHNOLOGY INNOVATION HARBIN INSTITUTE OF TECHNOLOGY SHENZHEN)
Filing Date
2026-05-14
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing ultrasonic computational tomography technology is not sensitive to hidden defects inside structures in large-volume, multi-layered, and complex components, making it difficult to form effective imaging contrast.

Method used

Nonlinear acoustic parameters are used for tomographic imaging. By acquiring the measurement nonlinear parameters of each ultrasonic wave passing through the structure under test, a distance matrix is ​​constructed, and iterative inversion is performed to determine the distribution of nonlinear parameters in order to locate the damage area.

Benefits of technology

It improves the ability to locate damage in large-volume, multi-layered, and complex components. Especially under conditions of long-distance propagation and complex propagation paths, it can more effectively reflect the nonlinear characteristics of internal damage and achieve efficient location of internal defects in large and complex components.

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Abstract

本发明公开了基于非线性声学参数的层析成像结构损伤定位方法、装置、终端及介质,涉及结构健康监测领域。所述方法包括:获取各超声波经待测结构时的测量非线性参数,根据测量非线性参数确定测量非线性参数向量;基于待测结构和各传感器位置构建距离矩阵;根据测量非线性参数向量和距离矩阵进行迭代反演,得到待测结构内部的非线性参数分布;根据非线性参数分布确定损伤区域。本发明以超声非线性参数作为层析成像表征量,能够提高大体积、多层次、复杂构造构件在长距离传播条件下对深层隐蔽病害的定位能力,因此可以有效地解决现有技术采用线性参数作为成像依据时对结构内部隐蔽病害不敏感、难以形成有效成像对比度的问题。
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