Research reports

Large deformation shape uncertainty quantification in acoustic scattering

by R. Hiptmair and L. Scarabosio and C. Schillings and Ch. Schwab

(Report number 2015-31)

Abstract
We address shape uncertainty quantification for the two-dimensional Helmholtz transmission problem, where the shape of the scatterer is the only source of uncertainty. In the framework of the so-called deterministic approach, we provide a high-dimensional parametrization for the interface. Each domain configuration is mapped to a nominal configuration, obtaining a problem on a fixed domain with stochastic coefficients. To compute surrogate models and statistics of quantities of interest, we apply an adaptive, anisotropic Smolyak algorithm, which allows to attain high convergence rates that are independent of the number of dimensions activated in the parameter space. We also develop a regularity theory with respect to the spatial variable, with norm bounds that are independent of the parametric dimension. The techniques and theory presented in this paper can be easily generalized to any elliptic problem on a stochastic domain.

Keywords: shape uncertainty, sparse grids, Helmholtz, acoustic scattering

BibTeX
@Techreport{HSSS15_621,
  author = {R. Hiptmair and L. Scarabosio and C. Schillings and Ch. Schwab},
  title = {Large deformation shape uncertainty quantification in acoustic scattering},
  institution = {Seminar for Applied Mathematics, ETH Z{\"u}rich},
  number = {2015-31},
  address = {Switzerland},
  url = {https://www.sam.math.ethz.ch/sam_reports/reports_final/reports2015/2015-31.pdf },
  year = {2015}
}

Disclaimer
© Copyright for documents on this server remains with the authors. Copies of these documents made by electronic or mechanical means including information storage and retrieval systems, may only be employed for personal use. The administrators respectfully request that authors inform them when any paper is published to avoid copyright infringement. Note that unauthorised copying of copyright material is illegal and may lead to prosecution. Neither the administrators nor the Seminar for Applied Mathematics (SAM) accept any liability in this respect. The most recent version of a SAM report may differ in formatting and style from published journal version. Do reference the published version if possible (see SAM Publications).

JavaScript has been disabled in your browser