Stiffness and Damping Identification for Asymmetric Building Frame With In-plane Flexible Floors

Stiffness and Damping Identification for Asymmetric Building Frame With In-plane Flexible Floors
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DOI:
10.3389/fbuil.2019.00103
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发表时间:
2019-09
影响因子:
3
通讯作者:
K. Shintani;S. Yoshitomi;K. Fujita;I. Takewaki
K. Shintani;S. Yoshitomi;K. Fujita;I. Takewaki
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文献类型:
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作者:
K. Shintani;S. Yoshitomi;K. Fujita;I. Takewaki

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在大多数建筑结构中,存在足够的面内刚度的楼板,并且刚性面内刚度的假设是成立的。然而,在一些建筑结构中,刚性面内刚度的假设并不成立。针对具有平面柔性楼板的三维建筑结构,提出了一种物理参数(刚度、阻尼)的系统辨识方法。根据测得的楼层水平加速度以及各楼层的刚度和阻尼参数,识别出三维建筑结构中各竖向框架的刚度和阻尼参数。结果表明,对多个离散时域量测数据进行批量处理的最小二乘估计方法,可以直接识别每个竖向框架的刚度和阻尼参数,以及每个楼层的刚度和阻尼参数。该方法的优点是可以同时识别竖向框架和水平框架(楼层)的所有刚度和阻尼参数,而无需搜索迭代。通过对无噪声测量数据和有噪声测量数据的数值仿真,验证了该方法的准确性和可靠性。为了提高识别精度,提出了一种消除噪声的方法。最后,通过振动台实验对所提出的识别方法的精度进行了考察。结果表明,所提出的识别方法对平面内柔性楼板三维建筑结构的刚度和阻尼力参数具有可靠的识别能力。
In most building structures, floors with sufficient in-plane stiffness exist and an assumption of rigid in-plane stiffness is valid. However, in some building structures, an assumption of rigid in-plane stiffness does not hold. A method of system identification (SI) for physical parameters (stiffness, damping) is proposed for three-dimensional (3D) building structures with in-plane flexible floors. The stiffness and damping parameters of each vertical structural frame in the 3D building structure are identified from the measured floor horizontal accelerations together with the stiffness and damping parameters of each floor. It is shown that a batch processing least-squares estimation method for many discrete time-domain measured data enables the direct identification of both the stiffness and damping parameters of each vertical structural frame and the stiffness and damping parameters of each floor. The proposed method possesses an advantage that all stiffness and damping parameters of vertical frames and horizontal frames (floors) can be identified simultaneously without search iteration. The accuracy and reliability of the proposed method are made clear by numerical simulations for measured data without noise and measured data with noise. A method of noise elimination is proposed to enhance the identification accuracy. Finally, experiments using a shaking table are conducted for the accuracy investigation of the proposed identification method. It is confirmed that the proposed identification method possesses a reliable ability to identify the stiffness and damping parameters for 3D building structures with in-plane flexible floors.