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Substructural Identification of Flexural Rigidity for Beam-Like Structures

机译:类梁结构抗弯刚度的子结构识别

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This study proposes a novel substructural identification method based on the Bernoulli-Euler beam theory with a single variable optimization scheme to estimate the flexural rigidity of a beam-like structure such as a bridge deck, which is one of the major structural integrity indices of a structure. In ordinary bridges, the boundary condition of a superstructure can be significantly altered by aging and environmental variations, and the actual boundary conditions are generally unknown or difficult to be estimated correctly. To efficiently bypass the problems related to boundary conditions, a substructural identification method is proposed to evaluate the flexural rigidity regardless of the actual boundary conditions by isolating an identification region within the internal substructure. The proposed method is very simple and effective as it utilizes the single variable optimization based on the transfer function formulated utilizing Bernoulli Euler beam theory for the inverse analysis to obtain the flexural rigidity. This novel method is also rigorously investigated by applying it for estimating the flexural rigidity of a simply supported beam model with different boundary conditions, a concrete plate-girder bridge model with different length of an internal substructure, a cantilever-type wind turbine tower structure with different type of excitation, and a steel box-girder bridge model with internal structural damages.
机译:这项研究提出了一种基于伯努利-欧拉梁理论的新颖子结构识别方法,该方法具有一个单变量优化方案来估计梁形结构(如桥面板)的抗弯刚度,这是桥梁结构的主要结构完整性指标之一。结构体。在普通桥梁中,上部结构的边界条件会因老化和环境变化而发生显着变化,实际的边界条件通常是未知的或难以正确估计。为了有效地避开与边界条件有关的问题,提出了一种子结构识别方法,通过隔离内部子结构中的识别区域来评估弯曲刚度,而不管实际的边界条件如何。该方法非常简单有效,因为它利用基于伯努利·欧拉梁理论制定的传递函数的单变量优化进行反分析以获得抗弯刚度。还对该方法进行了严格的研究,将其用于估计具有不同边界条件的简支梁模型,具有不同内部子结构长度的混凝土板梁桥模型,具有悬臂梁式风力发电机塔架结构的抗弯刚度。不同类型的激励,以及具有内部结构损伤的钢箱梁桥模型。

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