理论与试验研究

基于迁移学习与宽带MUSIC算法的结构开裂定位

  • 王云潇 ,
  • 刘元雪 ,
  • 白云山 ,
  • 姚未来 ,
  • 穆锐
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  • 1.陆军勤务学院,重庆 401311;
    2.高原山地环境下设施破坏机制与防护重庆市重点实验室,重庆 401311
王云潇(1995—),男,重庆人,博士研究生,主要从事地下工程结构健康监测方面的研究。E-mail:jiban0509@163.com
刘元雪(1969—),男,重庆人,博士,教授,主要从事岩土体本构关系与地下工程稳定性的教学与科研工作。E-mail:lyuanxue@vip.sina.com

收稿日期: 2024-09-10

  网络出版日期: 2025-06-13

基金资助

国家自然科学基金(41877219);重庆市级人才计划项目(cstc2024ycjh-bgzxm0028);重庆市自然科学基金院士专项(CSTB2023YSZX-JCX0004)

Fracture Localization of Structure Based on Transfer Learning and Broadband MUSIC Algorithm

  • Wang Yunxiao ,
  • Liu Yuanxue ,
  • Bai Yunshan ,
  • Yao Weilai ,
  • Mu Rui
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  • 1. Army Logistics Academy of PLA, Chongqing 401311, P.R. China;
    2. Chongqing Key Laboratory of Failure Mechanism and Protection of Facility in Plateau and Mountain Environment, Chongqing 401311, P.R. China

Received date: 2024-09-10

  Online published: 2025-06-13

摘要

为增强地下工程的韧性防护,裂缝的全域实时监测至关重要。本文提出一种结构开裂的实时定位方法,通过迁移学习方法,采用1 847组数据训练地震到时深度学习模型,建立结构开裂直达声波与反射声波的到时拾取模型,实现开裂声信号的自动识别与提取。针对宽带多重信号分类定位算法因空间混叠导致定位精度降低的问题,通过空频域的时延关系建立声源方位与相位差的方程,分析相位差与空间混叠的联系,以两组相位差同时为正的条件筛选窄带计算空间谱值。经现场衬砌开裂模拟试验验证,改进后的算法能有效降低空间混叠,提高定位精度,开裂点估计坐标与实际坐标的平均误差距离为0.05 m。连接各个开裂点可监测裂缝扩展方向与裂缝长度,能够满足工程需要。

本文引用格式

王云潇 , 刘元雪 , 白云山 , 姚未来 , 穆锐 . 基于迁移学习与宽带MUSIC算法的结构开裂定位[J]. 地下空间与工程学报, 2025 , 21(3) : 824 -834 . DOI: 10.20174/j.JUSE.2025.03.10

Abstract

To enhance the resilient protection of underground engineering, real-time monitoring of cracks in the whole engineering is of great significance. In the present paper, a real-time localization method for structural cracking is proposed. Through the method of transfer learning, the picking model of structural cracking direct acoustic wave and reflected acoustic wave was established after training the deep learning model of seismic phase-pick with 1 847 sets of training data. Automatic recognition and extraction of cracking acoustic signals is realized in this way. To solve the problem that the localization accuracy of broadband multi-signal classification (MUSIC) algorithm is reduced due to spatial aliasing, the equation between the direction of sound source and inter channel phase difference is established through the relationship of time delay in spatial and frequency domain. The narrow bands with two specified positive phase differences are used to calculate spatial spectral in localization after further analysis of the relationship between phase difference and spatial aliasing. The in-situ lining cracking simulation test verifies that the improved algorithm effectively reduces the spatial aliasing and improves the positioning accuracy. The average error distance between the estimated cracking point and the actual cracking point is 0.05 m. The monitoring of the extending direction and length of crack can be realized after connecting each cracking point, which can meet the engineering needs.

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