A priori error estimates for the finite element approximation of Westervelt's quasilinear acoustic wave equation
Vanja Nikolić, Barbara Wohlmuth
TL;DR
This work analyzes a spatial finite element discretization of Westervelt's quasilinear, strongly damped acoustic wave equation using piecewise linear elements. It combines a Banach fixed-point framework with a priori estimates for a linearized, variable-coefficient model to establish well-posedness and an optimal $L^2$-based convergence rate for small data and mesh sizes, while ensuring non-degeneracy through inverse estimates and Scott–Zhang interpolation. The main theoretical contributions are the existence and uniqueness of the semi-discrete solution and a rigorous $O(h^{s})$ error bound, with $1< s \\le 2$, under suitable regularity and coefficient-approximation assumptions. Numerical experiments in a 1D channel and a focused-ultrasound setting corroborate the theory and illustrate practical performance for nonlinear acoustic simulations.
Abstract
We study the spatial discretization of Westervelt's quasilinear strongly damped wave equation by piecewise linear finite elements. Our approach employs the Banach fixed-point theorem combined with a priori analysis of a linear wave model with variable coefficients. Degeneracy of the semi-discrete Westervelt equation is avoided by relying on the inverse estimates for finite element functions and the stability and approximation properties of the interpolation operator. In this way, we obtain optimal convergence rates in $L^2$-based spatial norms for sufficiently small data and mesh size and an appropriate choice of initial approximations. Numerical experiments in a setting of a 1D channel as well as for a focused-ultrasound problem illustrate our theoretical findings.
