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Author (up) Dölz, J.; Harbrecht, H.; Jerez-Hanckes, C.; Multerer M. doi  openurl
  Title Isogeometric multilevel quadrature for forward and inverse random acoustic scattering Type
  Year 2022 Publication Computer Methods in Applied Mechanics and Engineering Abbreviated Journal Comput. Methods in Appl. Mech. Eng.  
  Volume 388 Issue Pages 114242  
  Keywords Uncertainty quantification: Helmholtz scattering; Isogeometric Analysis; Boundary Integral Methods; Bayesian inversion; Multilevel quadrature  
  Abstract We study the numerical solution of forward and inverse time-harmonic acoustic scattering problems by randomly shaped obstacles in three-dimensional space using a fast isogeometric boundary element method. Within the isogeometric framework, realizations of the random scatterer can efficiently be computed by simply updating the NURBS mappings which represent the scatterer. This way, we end up with a random deformation field. In particular, we show that it suffices to know the deformation field’s expectation and covariance at the scatterer’s boundary to model the surface’s Karhunen–Loève expansion. Leveraging on the isogeometric framework, we employ multilevel quadrature methods to approximate quantities of interest such as the scattered wave’s expectation and variance. By computing the wave’s Cauchy data at an artificial, fixed interface enclosing the random obstacle, we can also directly infer quantities of interest in free space. Adopting the Bayesian paradigm, we finally compute the expected shape and variance of the scatterer from noisy measurements of the scattered wave at the artificial interface. Numerical results for the forward and inverse problems validate the proposed approach.  
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  ISSN 0045-7825 ISBN Medium  
  Area Expedition Conference  
  Notes Approved  
  Call Number UAI @ alexi.delcanto @ Serial 1476  
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