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Assessment of ASCE-7 Ground Motion Scaling Method Using Computer Model of Instrumented High-Rise Building

机译:用仪表高层建筑计算机模型评估asce-7地面运动缩放方法

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Performance-based earthquake engineering relies on accurate prediction of seismic demands from structural systems under given hazard conditions. In the pastdecade, numerous approaches in predicting engineering demand parameters (EDPs) from structural systems were established. Some of these methods were implemented into the design guidelines and building codes. Among them, nonlinear static procedures (NSPs) have found a wide usage in practice for checking new designs and evaluating performance of existing structures. Today, there is a paradigm shift towards using nonlinear response history analysis (RHA) in lieu of NSPs to predict EDPs. The pre-requisite to nonlinear RHAs is a set of ground motions to be selected and scaled appropriately so that analyses results would be accurate (unbiased) and efficient (having relatively small dispersion). Considering that ground motions may show significant variability in frequency content and amplitude, small dispersion (variability) of EDPs is desired since it provides a confidence. There are currently many different methods in scaling and selecting records to be used in nonlinear RHAs. Since there are no experimental validation studies available up to date, the effectiveness of these methods can only be assessed using numerical simulations. These simulations require development of realistic computer models. In this respect, structural monitoring plays a key role in providing recorded motions on existing structures which can be used to create their well-calibrated (in terms of modal periods, damping etc.) computer modes. This paper shows how the recorded earthquake data from the 52-story high-rise building located in Los Angeles is utilized to create a realistic three-dimensional computer model. This model is also used to assess the accuracy and efficiency of the ASCE-7 ground motion scaling method in predicting the building’s nonlinear response. It is concluded that the ASCE-7 method results in significantly high dispersion of EDPs despite the fact that median EDPs are well estimated.
机译:基于性能的地震工程依赖于对危险条件下结构系统的准确预测。在Pastedecade中,建立了从结构系统预测工程需求参数(EDP)的许多方法。其中一些方法是实施到设计指南和建筑规范中。其中,非线性静态程序(NSP)在实践中发现了广泛的使用,用于检查新的设计和评估现有结构的性能。今天,在使用非线性响应历史分析(RHA)的范式转变代替NSP来预测EDP。不需要的非线性ROAS是一种待选择和缩放的一组接地运动,以便分析结果是准确的(非偏见的)和有效(具有相对较小的色散)。考虑到地面运动可以显示出频率内容和幅度的显着变化,因此期望EDP的小分散(可变性),因为它提供了置信度。目前在缩放和选择以非线性RHAS中使用的记录有许多不同的方法。由于没有最新的实验验证研究,因此只能使用数值模拟评估这些方法的有效性。这些模拟需要开发现实的计算机模型。在这方面,结构监测在提供可用于创建其良好校准的现有结构上的记录动作方面发挥着关键作用,以便在模态周期,阻尼等方面,阻尼等)计算机模式。本文展示了位于洛杉矶的52层高层建筑的记录地震数据如何利用来创建一个现实的三维计算机模型。该模型还用于评估ASCE-7地面运动缩放方法的准确性和效率在预测建筑物的非线性响应方面。得出结论是,ASCE-7方法尽管中位EDP估计,因此asce-7方法导致EDP的显着高度分散。

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