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Structural system identification including shear deformation of composite bridges from vertical deflections

机译:结构系统识别,包括垂直偏转的复合桥的剪切变形

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摘要

Shear deformation effects are neglected in most structural system identification methods. This assumption might lead to important errors in some structures like built up steel or composite deep beams. Recently, the observability techniques were presented as one of the first methods for the inverse analysis of structures including the shear effects. In this way, the mechanical properties of the structures could be obtained from the nodal movements measured on static tests. One of the main controversial features of this procedure is the fact that the measurement set must include rotations. This characteristic might be especially problematic in those structures where rotations cannot be measured. To solve this problem and to increase its applicability, this paper proposes an update of the observability method to enable the structural identification including shear effects by measuring only vertical deflections. This modification is based on the introduction of a numerical optimization method. With this aim, the inverse analysis of several examples of growing complexity are presented to illustrate the validity and potential of the updated method.
机译:在大多数结构系统识别方法中忽略了剪切变形效果。这种假设可能导致一些结构中的一些结构中的重要误差,如建立的钢或复合深梁。最近,将可观察性技术作为第一方法之一呈现,用于包括剪切效应的结构的逆分析。以这种方式,可以从在静态测试上测量的节点运动获得结构的机械性能。该过程的主要争议特征之一是测量集必须包括旋转的事实。在无法测量旋转的结构中,该特征可能在诸如旋转的结构中尤其成问题。为了解决这个问题并提高其适用性,本文提出了可观察性方法的更新,以使结构识别包括仅测量垂直偏转来实现剪切效果。该修改基于引入数值优化方法。利用这种目的,提出了若干日益复杂性的若干例子的逆分析,以说明更新方法的有效性和潜力。

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