Low-Dimensional Spatial Embedding Method for Shape Uncertainty Quantification in Acoustic Scattering

2017/04/25 by Yuval Harness, Harness, Yuval
Computer Science · #Computational Engineering #FOS: Computer and information sciences #Finance #and Science (cs.CE) #cs.CE

paper · pdf · doi:10.48550/arxiv.1704.07727

arxiv created 2018/11/28 · arxiv updated 2018/11/29

Abstract

This paper introduces a novel boundary integral approach of shape uncertainty quantification for the Helmholtz scattering problem in the framework of the so-called parametric method. The key idea is to construct an integration grid whose associated weight function encompasses the irregularities and nonsmoothness imposed by the random boundary. Thus, the solution can be evaluated accurately with relatively low number of grid points. The integration grid is obtained by employing a low-dimensional spatial embedding using the coarea formula. The proposed method can handle large variation as well as non-smoothness of the random boundary. For the ease of presentation the theory is restricted to star-shaped obstacles in low-dimensional setting. Higher spatial and parametric dimensional cases are discussed, though, not extensively explored in the current study.

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