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Journal of Scientific Computing

, Volume 78, Issue 3, pp 1601–1631 | Cite as

Low-Dimensional Spatial Embedding Method for Shape Uncertainty Quantification in Acoustic Scattering by 2D Star Shaped Obstacles

  • Yuval HarnessEmail author
Article
  • 44 Downloads

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 non-smoothness 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.

Keywords

Uncertainty quantification Shape uncertainty Helmholtz Parametric method Low-dimensional embedding Coarea formula 

Mathematics Subject Classification

49Q15 65C99 65N35 65R20 65Z05 

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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Inria BordeauxTalenceFrance

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