Identification of Structural Damage and Impact Force Based on Non‑contact Visual Measurement

LIU Zegang; PAN Liang; ZHANG Zhaochang; FU Chunwei; ZHANG Guangcai

doi:10.13409/j.cnki.jdpme.20250707002

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Identification of Structural Damage and Impact Force Based on Non‑contact Visual Measurement

更新时间：2026-04-15

- Identification of Structural Damage and Impact Force Based on Non‑contact Visual Measurement
- Journal of Disaster Prevention and Mitigation Engineering Vol. 46, Issue 2, Pages: 467-476(2026)
- 作者机构：
  
  1.丽水职业技术学院，浙江丽水 323000
  2.江苏大学土木工程与力学学院，江苏镇江 212013
  3.济南大学土木工程学院，山东济南 250022
- 作者简介：
- 基金信息：
- DOI：10.13409/j.cnki.jdpme.20250707002
  CLC： TU317
- Received：07 July 2025，
  
  Revised：2025-09-25，
  
  Published：28 April 2026
- 稿件说明：
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刘泽刚,潘梁,张兆昌等.基于非接触式视觉测量的结构损伤和冲击荷载识别方法[J].防灾减灾工程学报,2026,46(02):467-476.

LIU Zegang,PAN Liang,ZHANG Zhaochang,et al.Identification of Structural Damage and Impact Force Based on Non‑contact Visual Measurement[J].Journal of Disaster Prevention and Mitigation Engineering,2026,46(02):467-476.
刘泽刚,潘梁,张兆昌等.基于非接触式视觉测量的结构损伤和冲击荷载识别方法[J].防灾减灾工程学报,2026,46(02):467-476. DOI： 10.13409/j.cnki.jdpme.20250707002.

LIU Zegang,PAN Liang,ZHANG Zhaochang,et al.Identification of Structural Damage and Impact Force Based on Non‑contact Visual Measurement[J].Journal of Disaster Prevention and Mitigation Engineering,2026,46(02):467-476. DOI： 10.13409/j.cnki.jdpme.20250707002.

摘要

工程结构在外荷载作用下可能出现损伤，非接触式视觉测量方法已用于结构损伤识别或荷载识别，但没有考虑结构损伤和未知输入荷载的耦合。为此，提出一种基于非接触式视觉测量的结构损伤和冲击荷载迭代识别方法。首先利用亚像素模板匹配算法提取结构的多点位移响应，根据输入荷载与输出响应的关系重构外荷载，然后利用重构的外荷载和估计的结构参数计算位移响应，将实际测量和计算位移响应之间的差值作为目标函数，采用自适应混合群体智能算法优化该目标函数，最终同时识别结构损伤和冲击荷载。通过冷弯型钢墙体结构室外振动台试验以及八层钢框架实验验证该方法的有效性，结果表明，所提出的方法能够同时准确识别结构损伤和冲击荷载，在结构健康监测领域具有较好的工程应用前景。

Abstract

Engineering structures may suffer damage under external loads

and non-contact visual measurement methods have been used for structural damage identification or load identification

but the coupling effect between structural damage and unknown input loads has not been considered. Therefore

this study proposed an iterative identification method for structural damage and impact force based on non-contact visual measurement. First

the multi-point displacement response of the target structure was extracted by a sub-pixel template matching algorithm

and the external load was reconstructed based on the relationship between input load and output response. Then

the displacement response was calculated using the reconstructed external load and estimated structural parameters. The difference between the measured and calculated displacement responses was defined as the objective function

which was then optimized by an adaptive hybrid swarm intelligence algorithm. Finally

the structural damage and impact force were identified simultaneously. The effectiveness of the method was verified through an outdoor shaking table test on a cold-formed steel framed wall structure and an experiment on an eight-story steel frame. The results showed that the proposed method could accurately identify structural damage and impact force simultaneously

demonstrating favorable application prospects in the field of structural health monitoring.

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