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Improving substructure identification accuracy of shear structures using virtual control system

机译：使用虚拟控制系统提高剪切结构的子结构识别精度

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摘要

Substructure identification is a powerful tool to identify the parameters of a complex structure. Previously, the authors developed an inductive substructure identification method for shear structures. The identification error analysis showed that the identification accuracy of this method is significantly influenced by the magnitudes of two key structural responses near a certain frequency; if these responses are unfavorable, the method cannot provide accurate estimation results. In this paper, a novel method is proposed to improve the substructure identification accuracy by introducing a virtual control system (VCS) into the structure. A virtual control system is a self-balanced system, which consists of some control devices and a set of self-balanced forces. The self-balanced forces counterbalance the forces that the control devices apply on the structure. The control devices are combined with the structure to form a controlled structure used to replace the original structure in the substructure identification; and the self-balance forces are treated as known external excitations to the controlled structure. By optimally tuning the VCS's parameters, the dynamic characteristics of the controlled structure can be changed such that the original structural responses become more favorable for the substructure identification and, thus, the identification accuracy is improved. A numerical example of 6-story shear structure is utilized to verify the effectiveness of the VCS based controlled substructure identification method. Finally, shake table tests are conducted on a 3-story structural model to verify the efficacy of the VCS to enhance the identification accuracy of the structural parameters.
机译：子结构识别是一个强大的工具，用于识别复杂结构的参数。此前，作者开发了一种用于剪切结构的电感子结构识别方法。识别误差分析表明，该方法的识别精度受到一定频率附近的两个关键结构响应的大小的显着影响;如果这些响应是不利的，则该方法不能提供准确的估计结果。在本文中，提出了一种新的方法来通过将虚拟控制系统（VCS）引入结构来改善子结构识别精度。虚拟控制系统是一种自平衡系统，由某种控制设备和一组自平衡力组成。自平衡力平衡控制装置适用于结构的力。控制装置与结构组合以形成用于更换原子结构识别中的原始结构的受控结构;并且自我平衡的力被视为已知的外部激发到受控结构。通过最佳地调整VCS的参数，可以改变受控结构的动态特性，使得原始结构响应对子结构识别变得更有利，因此，提高了识别精度。利用6层剪切结构的数值例子来验证基于VCS的受控子结构识别方法的有效性。最后，摇动台测试在3层结构模型上进行，以验证VCS提高结构参数的识别精度的功效。

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