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Structural system identification of buildings by a wave method based on a layered Timoshenko beam model

机译:基于分层Timoshenko梁模型的波动法识别建筑物的结构系统

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A layered Timoshenko beam (TB) model of a high-rise building is presented and applied to system identification of a full-scale building from recorded seismic response. This model is a new development in a wave method for earthquake damage detection and structural health monitoring being developed by the authors' research group. The method is based on monitoring changes in the wave properties of the structure, such as the velocity of wave propagation vertically through the structure. This model is an improvement over the previously used layered shear beam (SB) model because it accounts for wave dispersion caused by flexural deformation present in addition to shear. It also accounts for the rotatory inertia and the variation of the building properties with height. The case study is a 54-story steel frame building located in downtown Los Angeles. Recorded accelerations during the Northridge earthquake of 1994 are used for system identification of the NS response. The model parameters are identified by matching, in the least squares sense, the model and observed impulse response functions at all levels where motion was recorded. The model is then used to compute the building vertical phase and group velocities. Impulse responses computed by deconvolution of the recorded motions with the roof response are used, which represent the building response to a virtual source at the roof. The better match of transfer-function amplitudes of the fitted TB model than of previously fitted SB model indicates that the layered TB model is a better physical model for this building.
机译:提出了高层建筑的分层季莫申科梁(TB)模型,并将其应用于根据记录的地震反应对大型建筑物进行系统识别。该模型是作者研究小组开发的一种用于地震破坏检测和结构健康监测的波动方法的新开发成果。该方法基于监视结构的波属性的变化,例如垂直穿过结构传播的波速。此模型是对以前使用的分层剪切梁(SB)模型的改进,因为它考虑了由剪切引起的弯曲变形引起的波分散。它还考虑了旋转惯性和建筑物特性随高度的变化。案例研究是位于洛杉矶市中心的54层钢框架建筑。 1994年Northridge地震期间记录的加速度用于系统识别NS反应。通过在记录运动的所有级别上以最小二乘的方式匹配模型和观察到的脉冲响应函数来识别模型参数。然后,该模型用于计算建筑物的垂直相位和群速度。使用通过将记录的运动与屋顶响应进行反卷积而计算出的脉冲响应,该脉冲响应表示建筑物对屋顶虚拟源的响应。与先前拟合的SB模型相比,拟合的TB模型的传递函数幅度更好地匹配,这表明分层TB模型对于此建筑物而言是更好的物理模型。

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