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首页> 外文期刊>Bulletin of earthquake engineering >Damage identification of a reinforced concrete frame at increasing damage levels by sensitivity-based finite element model updating
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Damage identification of a reinforced concrete frame at increasing damage levels by sensitivity-based finite element model updating

机译:基于灵敏度的有限元模型更新增加损伤水平造成抗粘性混凝土框架的损伤识别

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摘要

This paper presents the damage identification results of an experimentally tested half-scale reinforced concrete portal frame using the sensitivity-based finite element model updating method. Progressively increasing story drifts are imposed on the frame by a displacement-controlled hydraulic actuator using single-cycle quasi-static lateral loading along the frame's in-plane direction. System identification is performed using an output-only system identification method at different damage levels. Dynamic tests used for system identification are conducted using an electro-dynamic shaker. The objective function used for damage identification is constructed by the difference between the experimentally identified and numerically predicted modal parameters. Damage identification is performed in two steps: (1) The initial numerical model is updated to obtain a reference model using the modal parameters corresponding to the undamaged frame and (2) the reference model is updated for increasing damage levels using the modal parameters corresponding to these levels to identify existence of damage, its location and extent. The condition of the optimization problem is improved by reducing the number of design parameters. Damage identification results are presented in terms of stiffness reduction factors assigned to the column(s) bottom and beam ends and they correlate very well with the visual damage inspections done during the quasi-static tests.
机译:本文采用了一种使用基于灵敏度的有限元模型更新方法进行了实验测试的半尺度钢筋混凝土门户框架的损害识别结果。逐渐增加的故事漂移通过位移控制的液压致动器在框架上施加在框架上,使用沿框架的面内方向上的单循环准静态横向载荷。使用不同损伤级别的输出系统识别方法执行系统识别。用于系统识别的动态测试使用电动动力振动器进行。用于损坏识别的目标函数由实验识别和数值预测的模态参数之间的差异构成。损坏识别是以两个步骤执行的:(1)更新初始数值模型以使用与未损坏的帧对应的模态参数获得参考模型,并且使用与对应的模态参数更新参考模型以增加损坏级别。这些级别识别存在损坏,其位置和范围的存在。通过减少设计参数的数量来提高优化问题的条件。损害识别结果以分配给塔底部的刚度降低因子和梁结束,并且它们与在准静态测试期间进行的视觉损伤检查相比非常好。

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