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Substructure Damage Detection Method for Shear Structure Using Sub-time Series and ARMAX

机译:子时间序列和ARMAX的剪切结构次结构损伤检测方法

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摘要

A local damage detection method for shear structure based on substructure approach and sub-time series superposition is proposed, which is promising for application in parallel and distributed damage detection systems. This method requires only three sensors to identify localized damage in any story of a building and it doesn't require constructing the structure models. A substructure method was used in this method to divide a complete structure into several substructures. Each substructure has a considerably smaller number of degrees of freedom (DOFs) which makes fewer requirements on the computing power of the data processing system. The algorithm is simple, which involves only algebra calculation and does not need any iterative computation. Moreover the damage detection process can be independently conducted on each substructure. Thus, this method is easy, efficient and suitable for being embedded into parallel and distributed damage detection systems. To better assess the performance of the method proposed above, experimental verification of the proposed approach has been conducted, which shows the proposed method works quite well and stably.
机译:提出了一种基于子结构方法和子时间序列叠加的剪切结构局部损伤检测方法,有望在并行和分布式损伤检测系统中应用。这种方法仅需要三个传感器即可识别建筑物任何楼层的局部损坏,并且无需构造结构模型。在此方法中,使用子结构方法将完整的结构分为几个子结构。每个子结构的自由度(DOF)都非常少,这对数据处理系统的计算能力提出了更少的要求。该算法很简单,只涉及代数计算,不需要任何迭代计算。此外,损伤检测过程可以在每个子结构上独立进行。因此,该方法简单,有效并且适合嵌入并行和分布式损坏检测系统中。为了更好地评估上述方法的性能,已对该方法进行了实验验证,表明该方法工作良好且稳定。

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