The generalized scalar auxiliary variable applied to the incompressible Boussinesq Equation
Andreas Wagner, Barbara Wohlmuth, Jan Zawallich
TL;DR
The paper develops a generalized scalar auxiliary variable (GSAV) based, second-order in time discretization for the incompressible Boussinesq equations, using a backward differentiation formula with time expansion around $t^{n+k}$ ($k\ge 3$) and an exponential integrator for the GSAV auxiliary variable to attain stability independent of the time step. It decouples temperature, velocity, and pressure via a shifted-Laplacian formulation and reformulates the scheme for $H^1$-conforming finite elements, achieving provable a priori error estimates in two dimensions. The authors provide a thorough stability and error analysis, including Grönwall-type bounds, pressure estimates, and consistency results for time derivatives and extrapolations, culminating in a tau-dependent error bound of order $\tau^4$ under suitable regularity and bootstrapping assumptions. Numerical experiments in 2D and 3D with Taylor--Hood and related discretizations validate the predicted convergence rates, demonstrate turbulence-capable Marsigli flows, and illustrate the necessity of spatial stabilization to complement GSAV-based time integration for robust simulations on large-scale problems. The work highlights a practical trade-off between the choice of $k$ (stability) and the resulting error constants, and it confirms the method’s applicability to large-scale, high-Reynolds-number flows with buoyancy effects.
Abstract
This paper introduces a second-order time discretization for solving the incompressible Boussinesq equation. It uses the generalized scalar auxiliary variable (GSAV) and a backward differentiation formula (BDF), based on a Taylor expansion around $t^{n+k}$ for $k\geq3$. An exponential time integrator is used for the auxiliary variable to ensure stability independent of the time step size. We give rigorous asymptotic error estimates of the time-stepping scheme, thereby justifying its accuracy and stability. The scheme is reformulated into one amenable to a $H^1$-conforming finite element discretization. Finally, we validate our theoretical results with numerical experiments using a Taylor--Hood-based finite element discretization and show its applicability to large-scale 3-dimensional problems.
