Highorder, linearly stable, partitioned solvers for general multiphysics problems based on implicit–explicit Runge–Kutta schemes
Abstract
This work introduces a general framework for constructing highorder, linearly stable, partitioned solvers for multiphysics problems from a monolithic implicit–explicit Runge–Kutta (IMEXRK) discretization of the semidiscrete equations. The generic multiphysics problem is modeled as a system of n systems of partial differential equations where the ith subsystem is coupled to the other subsystems through a coupling term that can depend on the state of all the other subsystems. This coupled system of partial differential equations reduces to a coupled system of ordinary differential equations via the method of lines where an appropriate spatial discretization is applied to each subsystem. The coupled system of ordinary differential equations is taken as a monolithic system and discretized using an IMEXRK discretization with a specific implicit–explicit decomposition that introduces the concept of a predictor for the coupling term. We propose four coupling predictors that enable the monolithic system to be solved in a partitioned manner, i.e., subsystembysubsystem, and preserve the IMEXRK structure and therefore the design order of accuracy of the monolithic scheme. The four partitioned solvers that result from these predictors are highorder accurate, allow for maximum reuse of existing singlephysics software, and two of the four solvers allow the subsystems to bemore »
 Authors:

 Stanford Univ., Stanford, CA (United States)
 Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States)
 Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of Notre Dame, Notre Dame, IN (United States)
 Publication Date:
 Research Org.:
 Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
 Sponsoring Org.:
 USDOE Office of Science (SC)
 OSTI Identifier:
 1571989
 Alternate Identifier(s):
 OSTI ID: 1636028
 Grant/Contract Number:
 AC0205CH11231
 Resource Type:
 Accepted Manuscript
 Journal Name:
 Computer Methods in Applied Mechanics and Engineering
 Additional Journal Information:
 Journal Volume: 346; Journal Issue: C; Journal ID: ISSN 00457825
 Publisher:
 Elsevier
 Country of Publication:
 United States
 Language:
 English
 Subject:
 97 MATHEMATICS AND COMPUTING; Multiphysics simulations; Partitioned solvers; Highorder methods; Implicit–explicit Runge–Kutta; Fluid–structure interaction
Citation Formats
Huang, D. Z., Persson, P. O., and Zahr, M. J. Highorder, linearly stable, partitioned solvers for general multiphysics problems based on implicit–explicit Runge–Kutta schemes. United States: N. p., 2018.
Web. doi:10.1016/j.cma.2018.09.015.
Huang, D. Z., Persson, P. O., & Zahr, M. J. Highorder, linearly stable, partitioned solvers for general multiphysics problems based on implicit–explicit Runge–Kutta schemes. United States. https://doi.org/10.1016/j.cma.2018.09.015
Huang, D. Z., Persson, P. O., and Zahr, M. J. Fri .
"Highorder, linearly stable, partitioned solvers for general multiphysics problems based on implicit–explicit Runge–Kutta schemes". United States. https://doi.org/10.1016/j.cma.2018.09.015. https://www.osti.gov/servlets/purl/1571989.
@article{osti_1571989,
title = {Highorder, linearly stable, partitioned solvers for general multiphysics problems based on implicit–explicit Runge–Kutta schemes},
author = {Huang, D. Z. and Persson, P. O. and Zahr, M. J.},
abstractNote = {This work introduces a general framework for constructing highorder, linearly stable, partitioned solvers for multiphysics problems from a monolithic implicit–explicit Runge–Kutta (IMEXRK) discretization of the semidiscrete equations. The generic multiphysics problem is modeled as a system of n systems of partial differential equations where the ith subsystem is coupled to the other subsystems through a coupling term that can depend on the state of all the other subsystems. This coupled system of partial differential equations reduces to a coupled system of ordinary differential equations via the method of lines where an appropriate spatial discretization is applied to each subsystem. The coupled system of ordinary differential equations is taken as a monolithic system and discretized using an IMEXRK discretization with a specific implicit–explicit decomposition that introduces the concept of a predictor for the coupling term. We propose four coupling predictors that enable the monolithic system to be solved in a partitioned manner, i.e., subsystembysubsystem, and preserve the IMEXRK structure and therefore the design order of accuracy of the monolithic scheme. The four partitioned solvers that result from these predictors are highorder accurate, allow for maximum reuse of existing singlephysics software, and two of the four solvers allow the subsystems to be solved in parallel at a given stage and time step. We also analyze the stability of a coupled, linear model problem with a specific coupling structure and show that one of the partitioned solvers achieves unconditional linear stability for this problem, while the others are unconditionally stable only for certain values of the coupling strength. We demonstrate the performance of the proposed partitioned solvers on several classes of multiphysics problems including a simple linear system of ODEs, advection–diffusion–reaction systems, fluid–structure interaction problems, and particleladen flows, where we verify the design order of the IMEX schemes and study various stability properties.},
doi = {10.1016/j.cma.2018.09.015},
journal = {Computer Methods in Applied Mechanics and Engineering},
number = C,
volume = 346,
place = {United States},
year = {2018},
month = {9}
}
Web of Science