Premium
Material parameter optimization for interior and exterior fluid‐structure acoustic problems
Author(s) -
Ramaswamy Harisankar,
Dey Saikat,
Oberai Assad A.
Publication year - 2020
Publication title -
international journal for numerical methods in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.421
H-Index - 168
eISSN - 1097-0207
pISSN - 0029-5981
DOI - 10.1002/nme.6502
Subject(s) - helmholtz equation , regularization (linguistics) , mathematics , structural acoustics , cauchy distribution , minification , mathematical optimization , optimization problem , prior probability , mathematical analysis , vibration , computer science , acoustics , physics , boundary value problem , artificial intelligence , bayesian probability , statistics
Summary We present an efficient adjoint‐based framework for computing sensitivities of quantities of interest with respect to material parameters for coupled fluid‐structural acoustic systems with explicit interface coupling. The fluid is modeled using the Helmholtz equation and the structure is modeled using the Navier‐Cauchy equations. Sensitivities are used to drive a gradient based optimization algorithm to solve important problems in structural acoustics, viz noise minimization and vibration isolation. For each problem, we consider two different priors: one where the optimal solution has a smooth variation and another with a bimaterial distribution. These priors are imposed with the help of suitable regularization terms. The effectiveness of this approach is demonstrated on both interior and exterior structural acoustic problems.