Sensitivity of the stochastic response of structures coupled with vibrating barriers
Sensitivity of the stochastic response of structures coupled with vibrating barriers
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DOI：
10.1016/j.probengmech.2015.11.002
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发表时间：
2016-04-01
影响因子：
2.6
通讯作者：
Cacciola, P.
中科院分区：
文献类型：
--
作者：
Tombari, A.;Zentner, I.;Cacciola, P.
研究了这种新型振动屏障（ViBa）装置控制线性结构随机响应的灵敏度。振动屏障（ViBa）是一个巨大的结构，承载在土壤中，通过利用结构-土-结构相互作用来校准保护结构。因此，本文研究了土-结构耦合系统的敏感性，其中土被建模为具有滞后阻尼的线弹性介质。为了实现高效的灵敏度分析，采用Craig-Bampton方法确定了一个简化模型。此外，为了进行常规时程分析，采用集总参数模型将在频域严格有效的滞回阻尼土模型转化为近似等效的粘性阻尼土模型。对于多变量随机输入过程，通过确定基于动态修正方法的半解析方法来评估灵敏度。将地面运动建模为非平稳零均值高斯随机过程，用给定的演化功率谱密度函数定义。本文介绍了被动振动控制下的工业建筑模型的响应统计量对相关设计参数的敏感性。与相关的蒙特卡罗模拟的比较将表明所提出方法的有效性。(C) 2015 Elsevier Ltd.版权所有。
The sensitivity of the stochastic response of linear behaving structures controlled by the novel Vibrating Barrier (ViBa) device is scrutinized. The Vibrating Barrier (ViBa) is a massive structure, hosted in the soil, calibrated for protecting structures by exploiting the structure-soil-structure interaction effect. Therefore the paper addresses the study of the sensitivity of soil-structure coupled systems in which the soil is modelled as a linear elastic medium with hysteretic damping. In order to accomplish efficient sensitivity analyses, a reduced model is determined by means of the Craig-Bampton procedure. Moreover, a lumped parameter model is used for converting the hysteretic damping soil model rigorously valid in the frequency domain to the approximately equivalent viscous damping model in order to perform conventional time-history analysis. The sensitivity is evaluated by determining a semi-analytical method based on the dynamic modification approach for the case of multi-variate stochastic input process. The ground motion is modelled as non-stationary zero-mean Gaussian random process defined by a given evolutionary Power Spectral Density function. The paper presents the sensitivity of the response statistics of a model of an industrial building, passively controlled by the ViBa, to relevant design parameters. Comparisons with pertinent Monte Carlo Simulation will show the effectiveness of the proposed approach. (C) 2015 Elsevier Ltd. All rights reserved.