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Reformulation of the Stochastic BEM to improve the computational efficiency in the prediction of the vibro-acoustic behaviour of structures with uncertainties

机译:重新制定随机边界元法,以提高不确定结构结构的声声行为预测的计算效率

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Non-determinism plays a crucial role in the prediction of the vibro-acoustic behaviour of structures. The Stochastic Boundary Element Method (SBEM) allows computing the average response of systems with geometrical uncertainties. The method consists in including such perturbations in the standard BEM formulation and adding a set of equations representative of the energetic behaviour. Due to the presence of unknown cross-products, the addition of a set of auxiliary equation is necessary to solve the problem. As a consequence, the system dimension becomes very large and the application of the methodology is limited to small models. This paper deals with a reformulation of the SBEM approach such that the system dimension is drastically decreased and the methodology can be applied to more complex cases. Moreover, the approach is extended to predict the variance of the field variable at no additional computational cost. After a theoretical introduction, the SBEM is applied to two-dimensional examples with pressure and velocity boundary conditions. The comparison with Monte Carlo simulations shows a good agreement of the results and a reduction in the computational load is achieved.
机译:在确定结构的振动声行为的过程中,不确定性起着至关重要的作用。随机边界元方法(SBEM)允许计算具有几何不确定性的系统的平均响应。该方法包括在标准BEM公式中包括这种扰动,并添加代表能量行为的一组方程式。由于存在未知的叉积,因此需要添加一组辅助方程来解决该问题。结果,系统规模变得非常大,该方法的应用仅限于小型模型。本文讨论了SBEM方法的重新制定,以使系统规模大大减小,并且该方法可以应用于更复杂的情况。此外,该方法已扩展为无需额外的计算成本即可预测字段变量的方差。经过理论介绍后,SBEM应用于具有压力和速度边界条件的二维示例。与蒙特卡洛模拟的比较显示了结果的良好一致性,并且减少了计算量。

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