Unified analysis of algorithms for equilibrium, non-equilibrium, and hysteresis models of phase transition in permafrost
Malgorzata Peszynska, Nicholas Slugg
TL;DR
The paper tackles a nonlinear heat equation modeling thawing/freezing in permafrost, where phase change is governed by equilibrium, non-equilibrium, or hysteresis relations between χ and the temperature u. It unifies the analysis by employing a fully implicit time discretization and a double-iteration strategy to handle the two nonlinearities: the phase-function F(u) and the nonlinear diffusion A(U)U, using monotone operator theory and resolvent-based hysteresis components. Theoretical results establish well-posedness and convergence of the discrete schemes for EQ, NEQ, and HYST closures, while numerical experiments on ODEs and PDEs demonstrate robustness, first-order convergence in time, and distinct behaviors across the closures, notably greater effort for HYST. The approach provides a solid computational framework for permafrost modeling, enabling reliable simulations under instantaneous, delayed, or history-dependent phase transitions with potential for parameter identification and scale-appropriate data fusion.
Abstract
In this paper we consider a nonlinear partial differential equation describing heat flow with ice-water phase transition in permafrost soils. Such models and their numerical approximations have been well explored in the applications literature. In this paper we describe a new direction in which the allow relaxation and hysteresis of the phase transition which introduce additional nonlinear terms and complications for the analysis. We present numerical algorithms as well as analysis of the well-posedness and convergence of the fully implicit iterative schemes. The analysis we propose handles the equilibrium, non-equilibrium, and hysteresis cases in a unified way. We also illustrate with numerical examples for a model ODE and PDE.
