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A Nonlinear Statistical Approach for Damping Uncertainty Propagation in Structural Dynamics

机译:抑制结构动力学不确定性传播的非线性统计方法

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The object of the present study is to investigate the influence of damping uncertainty and statistical correlation on the dynamic response of structures with random damping parameters in the neighbourhood of a resonant frequency. A Non-Linear Statistical model (NLSM) is successfully demonstrated to predict the probabilistic response of an industrial building structure with correlated random damping. A practical computational technique to generate first and second-order sensitivity derivatives is presented and the validity of the predicted statistical moments is checked by traditional Monte Carlo simulation. Simulation results show the effectiveness of the NLSM to estimate uncertainty propagation in structural dynamics. In addition, it is demonstrated that the uncertainty in damping indeed influences the system response with the effects being more pronounced for lightly damped structures, higher variability and higher statistical correlation of damping parameters.
机译:本研究的目的是研究阻尼不确定性和统计相关性对共振频率附近具有随机阻尼参数的结构动力响应的影响。成功地证明了非线性统计模型(NLSM)可以预测具有相关随机阻尼的工业建筑结构的概率响应。提出了一种实用的计算技术来生成一阶和二阶灵敏度导数,并通过传统的蒙特卡洛模拟检查了预测统计矩的有效性。仿真结果表明,NLSM可以有效地估计结构动力学中的不确定性传播。此外,证明了阻尼的不确定性确实影响系统响应,对于轻阻尼结构,更高的可变性和更高的阻尼参数统计相关性,其影响更为明显。

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