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A bridge damage identification method based on HHT and PSD of vehicle response
- FANG Youliang, XING Jie, ZHANG Ying, LIU Xueting, LIU Danyang
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2025, 45(5):
458-465.
DOI: 10.3969/j.issn.1000-1565.2025.05.002
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Traditional damage detection methods typically involve the installation of a large number of sensors on bridges, which is costly, time-consuming, and labor-intensive, thereby limiting their application in practical engineering scenarios. This study proposes a damage identification method that integrates the Hilbert-Huang transform(HHT)and power spectral density(PSD)analysis for bridge damage detection. First, an acceleration sensor is installed on a test vehicle to record the vehicles acceleration response, which is then processed using HHT to obtain a three-dimensional time-frequency-amplitude spectrum. Subsequently, sudden changes in the amplitude spectrum are utilized to identify damage locations on the bridge. Finally, the damage severity α is evaluated using the PSD method. The- DOI:10.3969/j.issn.1000-1565.2025.05.002基于车辆响应HHT和PSD相结合的桥梁损伤识别方法方有亮1,2,邢杰1,张颖1,2,刘雪婷1,刘丹阳1(1.河北大学 建筑工程学院,河北 保定 071002; 2.零碳能源建筑与计量技术教育部工程研究中心,河北 保定 071002)摘 要:传统的桥梁损伤检测方法通常在桥梁上布置大量的传感器,成本高,费时费力,限制了在实际工程中的应用.本文提出一种希尔伯特-黄变换(Hilbert-Huang transform,HHT)和功率谱密度(power spectral density,PSD)相结合的损伤识别方法,对桥梁进行损伤识别研究.首先,在测试车辆上布置1个加速度传感器,将车辆的加速度响应进行HHT变换,获取三维时频幅值谱;然后,利用该幅值谱的突变识别桥梁的损伤位置;最后,通过PSD识别桥梁的损伤程度α.结果表明,该方法不仅能够准确地识别桥梁的单损伤和多损伤位置,而且能够识别桥梁的损伤程度,识别精度较高,单损伤程度识别的最大误差为2.5%,多损伤程度识别的最大误差为2.6%.关键词:损伤识别;移动车辆响应;HHT;PSD中图分类号:U446 文献标志码:A 文章编号:1000-1565(2025)05-0458-08A bridge damage identification method based on HHT and PSD of vehicle responseFANG Youliang1,2, XING Jie1, ZHANG Ying1,2, LIU Xueting1, LIU Danyang1(1. College of Civil Engineering and Architecture,Hebei University,Baoding 071002,China;2. Engineering Research Center of Zero-carbon Energy Buildings and Measurement Techniques, Ministry of Education, Baoding 071002,China)Abstract: Traditional damage detection methods typically involve the installation of a large number of sensors on bridges, which is costly, time-consuming, and labor-intensive, thereby limiting their application in practical engineering scenarios. This study proposes a damage identification method that integrates the Hilbert-Huang transform(HHT)and power spectral density(PSD)analysis for bridge damage detection. First, an acceleration sensor is installed on a test vehicle to record the vehicles acceleration response, which is then processed using HHT to obtain a three-dimensional time-frequency-amplitude spectrum. Subsequently, sudden changes in the amplitude spectrum are utilized to identify damage locations on the bridge. Finally, the damage severity α is evaluated using the PSD method. The- 收稿日期:2024-08-07;修回日期:2024-12-19 基金项目:河北省大型结构健康诊断与控制实验室开放基金项目(KLLSHMC2107);教育部春晖项目合作科研项目(HZKY20220256);河北大学实验室开放基金项目(sy202236) 第一作者:方有亮(1967—),男,河北大学教授,博士生导师,主要从事土木工程结构健康监测和结构振动分析与控制、结构灾害模拟研究.E-mail:fang_youliang@126.com 通信作者:张颖(1981—),女,河北大学副教授,主要从事桥梁结构健康监测、振动控制研究.E-mail:hbuzy@163.com 第5期方有亮等:基于车辆响应HHT和PSD相结合的桥梁损伤识别方法河北大学学报(自然科学版) 第45卷results demonstrate that the proposed method can accurately detect both single and multiple damage locations, as well as quantify the extent of damage. The maximum identification error for single damage severity is 2.5%, while that for multiple damage severities is 2.6%, indicating high identification accuracy.
