一种基于尾波灵敏度核函数的边坡损伤定位方法

By constructing a slope damage localization method based on a wake sensitivity kernel function, the problem of low slope damage localization accuracy in existing technologies is solved, achieving high-precision imaging and localization of internal slope damage, and supporting early warning and targeted treatment.

CN122199859BActive Publication Date: 2026-07-17CHONGQING UNIV +2

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHONGQING UNIV
Filing Date
2026-05-15
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing slope monitoring technologies are unable to effectively identify minute damage within the rock mass in the early stages of disaster incubation, resulting in delays and blind spots in engineering early warning. Existing monitoring methods based on wake signals cannot accurately pinpoint the specific location of damage.

Method used

A slope damage localization method based on the wake sensitivity kernel function is constructed. By constructing a kernel function that describes the transmission probability of acoustic energy in complex scattering media, a quantitative mapping between wake signal characteristic changes and spatial local damage is established, thereby achieving high-precision imaging and localization of internal slope damage.

Benefits of technology

It achieves high-precision imaging and positioning of hidden damage inside slopes, enabling accurate damage location and visualization in the early stages of disaster development, and supporting targeted treatment of disaster sources in engineering projects.

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Abstract

本发明涉及地质灾害监测技术领域,公开了一种基于尾波灵敏度核函数的边坡损伤定位方法,包括:对岩石边坡监测区域,布设分布式监测阵列,记录节点坐标并采集与预处理数据,存入数据库;对监测区域进行三维网格划分,构建融合监测拓扑关系的网格模型;对历史基准波形进行包络分析,构建能量密度随传播距离与时间演化的物理模型,以求解岩体介质的扩散与耗散系数;构建三维灵敏度核函数,生成稀疏灵敏度矩阵;将损伤密度作为待求解向量,将去相关系数作为观测向量,构建并求解Tikhonov正则化目标函数,得到最优损伤密度;最终进行三维危险热力图成像与坐标解算,实现岩石边坡损伤定位的分级预警;本发明提高了边坡损伤定位的精度。
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