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Sensitivity Analysis Of Optimum Stochastic Nonstationary Response Spectra Under Uncertain Soil Parameters

机译:不确定土壤参数下最优随机非平稳响应谱的灵敏度分析

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Local ground characteristics play a fundamental role in seismic design and analysis of structural response. In spite of this, it is usually assumed that these are implicitly deterministic with only few possible values. This work presents a stochastic approach to define response spectra of a single-degree-of-freedom (SDOF) system subjected to a nonstationary seismic action. The ground shaking is here modelled by means of a Clough-Penzien filtered white noise and the mechanical parameters are determined by means of a best fitting procedure. Results are compared with the design Eurocode 8 spectra. Subsequently, a sensitivity analysis with respect to the obtained parameters is performed. It has been developed to evaluate influence of uncertainty in their determination with reference to structural response and to investigate how scattering of parameters could induce variation in response spectra. The stochastic approach is here considered by solving Lyapunov matrix differential equation in the space state. Typical stiff and soft soils are taken into account, supposing filter parameters to be time invariant. The latter are assumed having a probability density distribution with fixed levels of coefficient of variation (COV) between mean and variance. The developed algorithm achieves tests to verify the efficiency of the proposed approach.
机译:局部地面特征在地震设计和结构响应分析中起着基本作用。尽管如此,通常假定它们是隐式确定的,只有很少的可能值。这项工作提出了一种随机方法来定义经受非平稳地震作用的单自由度(SDOF)系统的响应谱。在此,通过Clough-Penzien滤波的白噪声对地面振动进行建模,并通过最佳拟合过程确定机械参数。将结果与设计的Eurocode 8光谱进行比较。随后,对获得的参数进行灵敏度分析。已经开发出了评估方法,以评估不确定性对结构响应的影响,并研究参数的散射如何引起响应谱的变化。通过在空间状态下求解Lyapunov矩阵微分方程,可以考虑采用随机方法。考虑到典型的硬土和软土,假设过滤器参数是时不变的。假定后者具有概率密度分布,均值和方差之间具有固定水平的变异系数(COV)。所开发的算法通过测试来验证所提出方法的效率。

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