Statistical significance of modal parameters of bridge systems identified from strong motion data
Statistical significance of modal parameters of bridge systems identified from strong motion data
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DOI：
10.1002/eqe.482
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发表时间：
2005-08-01
影响因子：
4.5
通讯作者：
Mosalam, KM
中科院分区：
文献类型：
--
作者：
Arici, Y;Mosalam, KM
通常使用系统识别（SI）方法来确定结构系统的模态参数，以进行损伤检测和健康监测。为了正确确定结构系统完整性的恶化情况，必须以足够的确定性获得健康结构的模态参数，以便这些参数可以作为健康系统与受损系统进行比较的可靠参考。在本研究中，评估了使用在两个桥梁结构上记录的强运动时间历史记录识别的模态参数的统计显着性。使用蒙特卡罗模拟和灵敏度分析结合特征实现算法获得识别的模态频率和阻尼比的置信区间。检查统计范围对模型参数的依赖性。使用来自经过验证的桥梁有限元模型的模拟时间历史数据来评估使用不同数量的传感器对统计显着性的影响。版权所有 (c) 2005 John Wiley & Sons, Ltd.
Modal parameters of structural systems have commonly been determined using system identification (SI) methods for damage detection and health monitoring. For determining the deterioration of the integrity of structural systems correctly, modal parameters of a healthy structure have to be obtained with adequate certainty so that these parameters can be used as reliable references for the healthy system to compare with those of the damaged system. In this study, the statistical significance of modal parameters identified using strong motion time histories recorded on two bridge structures is assessed. The confidence intervals of identified modal frequencies and damping ratios are obtained using Monte Carlo simulations and sensitivity analyses in conjunction with eigenrealization algorithm. The dependence of the statistical bounds on model parameters is examined. The effect of using different number of sensors on the statistical significance is evaluated using simulated time history data from a validated finite element model of a bridge. Copyright (c) 2005 John Wiley & Sons, Ltd.