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DISTRIBUTED DETECTION OF LOCAL DAMAGE IN LARGE-SIZE STRUCTURES UNDER EARTHQUAKE EXCITATION

机译:地震励磁下大型结​​构局部损伤的分布式检测

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Detection of local damage in large-size structures under earthquakes is an important but challenging task. In this paper, based on substructural approach, a technique for distributed detection of local damage in large-size linear structures subject to earthquake excitation is proposed. Interaction effect between adjacent substructures is considered by the interaction forces at substructural interfaces. The 'unknown external proposed technique not only simplifies the difficulties in the identification of complex structures by decreasing the numbers of unknown parameters in the identification process but also allows for local structural damage detection at critical parts where damage may occur. Moreover, it provides an efficient distributed computing strategy for structural damage detection which can be implemented by wireless smart sensor network based on the distributed computing capacity of smart sensors. A numerical example of detecting structural damage at element level in multi-story building is used to illustrate the proposed technique. Simulation results demonstrate that the proposed technique is capable of detecting local damage with satisfactory accuracy and it is efficient for the detection of local damage in large-scale structures.
机译:在地震下检测大型结构的局部损伤是一个重要但具有挑战性的任务。本文基于副结构方法,提出了一种用于经受地震激励的大尺寸线性结构局部损伤的分布检测技术。通过子结构接口的交互力考虑相邻子结构之间的相互作用效果。 “未知的外部提议技术不仅通过减少识别过程中未知参数的数量来简化复杂结构的难证,而且还允许在可能发生损坏的关键部件处局部结构损伤检测。此外,它提供了用于结构损伤检测的有效分布式计算策略,其可以基于智能传感器的分布式计算能力来实现由无线智能传感器网络实现的。在多层建筑物中检测元素水平的结构损伤的数值例子用于说明所提出的技术。仿真结果表明,该技术能够以令人满意的精度检测局部损坏,并且在大规模结构中检测局部损坏是有效的。

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