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Bridge condition monitoring using fixed moving principal component analysis
Structural Control and Health Monitoring ( IF 4.6 ) Pub Date : 2020-02-24 , DOI: 10.1002/stc.2535
Zhenhua Nie 1, 2 , Enguo Guo 1 , Jun Li 3 , Hong Hao 3 , Hongwei Ma 4 , Hui Jiang 5
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This paper proposes a data‐driven damage detection method based on fixed moving principal component analysis (FMPCA) to analyze structural dynamic responses and monitor the bridge operational condition and the damage occurrence. The damage indices based on principal components (PCs) and eigenvalues can be calculated continuously by applying a fixed moving window. The length of the moving window is determined by using a new criterion based on the convergent spectrum of cumulative contribution ratio. Numerical simulations and experimental tests in the laboratory on beam bridge models subjected to stochastic loads are conducted to investigate the accuracy and effectiveness of the proposed approach. Both simulation and experimental results indicate that using the FMPCA can well analyze the dynamic vibration data to detect damage or abnormal vibration behavior during the operational condition. It can be used to accurately monitor the time instant of damage occurrence, which is very important in long‐term monitoring of civil engineering structures. The proposed method is successfully applied to analyze the data recorded during an incident that a real large‐scale suspension bridge was slightly scraped by the mast of a sand ship, which further verifies the effectiveness and feasibility of this method in engineering applications. The results also indicate that the bridge was not damaged after the incident but presented a short time abnormal vibration behavior owing to the impact of the ship mast.

中文翻译:

使用固定移动主成分分析的桥梁状况监测

本文提出了一种基于固定移动主成分分析(FMPCA)的数据驱动损伤检测方法,用于分析结构动力响应并监测桥梁的运行状况和损伤的发生。通过应用固定的移动窗口,可以连续计算基于主要成分(PC)和特征值的损伤指数。通过使用基于累积贡献率的会聚谱的新准则来确定移动窗口的长度。在实验室中对承受随机载荷的梁桥模型进行了数值模拟和实验测试,以研究该方法的准确性和有效性。仿真和实验结果均表明,使用FMPCA可以很好地分析动态振动数据,以检测操作条件下的损坏或异常振动行为。它可用于精确监控损坏发生的时间,这在土木工程结构的长期监控中非常重要。该方法成功地应用于分析砂轮架桅杆轻微刮擦真正的大型悬索桥的事件中记录的数据,从而进一步验证了该方法在工程应用中的有效性和可行性。结果还表明,事故发生后桥梁没有受到破坏,但由于船桅的影响,出现了短时间的异常振动行为。它可用于精确监控损坏发生的时间,这在土木工程结构的长期监控中非常重要。该方法成功地用于分析沙船桅杆轻微刮擦真正的大型悬索桥时记录的数据,从而进一步验证了该方法在工程应用中的有效性和可行性。结果还表明,事故发生后桥梁没有受到破坏,但由于桅杆的撞击,出现了短暂的异常振动行为。它可用于精确监控损坏发生的时间,这在土木工程结构的长期监控中非常重要。该方法成功地应用于分析砂轮架桅杆轻微刮擦大型大型悬索桥的事件中记录的数据,从而进一步验证了该方法在工程应用中的有效性和可行性。结果还表明,事故发生后桥梁没有受到破坏,但由于船桅的影响,出现了短时间的异常振动行为。该方法成功地用于分析沙船桅杆轻微刮擦真正的大型悬索桥时记录的数据,从而进一步验证了该方法在工程应用中的有效性和可行性。结果还表明,事故发生后桥梁没有受到破坏,但由于桅杆的撞击,出现了短暂的异常振动行为。该方法成功地应用于分析砂轮架桅杆轻微刮擦真正的大型悬索桥的事件中记录的数据,从而进一步验证了该方法在工程应用中的有效性和可行性。结果还表明,事故发生后桥梁没有受到破坏,但由于桅杆的撞击,出现了短暂的异常振动行为。
更新日期:2020-02-24
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