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首页> 外文期刊>Structural Control and Health Monitoring >Damage detection framework for truss railway bridges utilizing statistical analysis of operational strain response
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Damage detection framework for truss railway bridges utilizing statistical analysis of operational strain response

机译：利用运营应变响应统计分析的桁架铁路桥梁损伤检测框架

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摘要

In this paper, a non-parametric damage detection method for truss railroad bridges is presented which utilizes statistical analysis of bridge strain responses to operational train loading. Strain time-history responses obtained under baseline and damaged bridge conditions are used to compute the coefficient of variation matrices. The results are presented in terms of the difference of the covariance matrix of the truss bridge between the baseline and damaged condition. The damage in the bridge is detected and located by observing the coefficients of the difference matrix as structural changes occur in the bridge. The magnitudes of the coefficients could be used to relatively estimate the severity of the damage. A finite element model of a truss railroad bridge is utilized for numerical validation of the proposed method. It is demonstrated that the proposed method yields encouraging results for identifying, locating, and relatively assessing the damage even under different operational conditions (e.g., different train speeds and loads). The proposed method could be very useful for early detection of damage and thus could assist in developing effective maintenance strategies for railway bridges.
机译：本文提出了一种用于桁架铁路桥的非参数损伤检测方法，其利用桥梁应变响应统计分析对操作火车装载。在基线和损坏的桥梁条件下获得的应变时间历史响应用于计算变化矩阵的系数。结果以基线和受损条件之间的桁架桥的协方差矩阵的差异呈现。通过观察差分矩阵的系数，检测桥中的损坏，因为在桥中发生结构变化。系数的幅度可用于相对估计损坏的严重程度。桁架铁路桥的有限元模型用于提出方法的数值验证。结果证明，即使在不同的运营条件下，所提出的方法会产生令人鼓舞的结果，以识别，定位，以及相对评估损坏（例如，不同的列车速度和负载）。该方法对于早期检测损坏，该方法可能非常有用，因此可以帮助制定有效的铁路桥梁维护策略。

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