Final report on LDRD project : coupling strategies for multi-physics applications.

Hopkins, Matthew M.; Moffat, Harry K.; Carnes, Brian; Hooper, Russell; Pawlowski, Roger P.

doi:10.2172/1029797

Cited by 7 publications

(2 citation statements)

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“…Multiphysics problems that are coupled across an interface arise frequently, for example, fluidstructure interaction and conjugate heat transfer. The first example problem [43], [44] deals with steady state conjugate heat transfer. On both domains, there is heat conduction, but the left domain has convection, while the right domain has radiative heat transfer.…”

Section: Conjugate Heat Transfermentioning

confidence: 99%

Approaches for mitigating over‐solving in multiphysics simulations

Senecal

2017

Numerical Meth Engineering

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Summary Multiphysics simulations are used to solve coupled physics problems found in a wide variety of applications in natural and engineering systems. Combining models of different physical processes into one computational tool is the essence of multiphysics simulation. A general and widely used coupling approach is to combine several ‘single‐physics’ numerical solvers, each already being well developed, mature/sophisticated into an iteration‐based computational package. This approach iterates over the constituent solvers at every time step, to obtain globally converged solutions. During the simulation, each single‐physics component is solved repeatedly until the feedback has been adequately resolved. However, the component problem solution only needs to be as precise as the feedback that it receives from the other component. Thus, computational effort expended to exceed such precision is wasted. This issue is usually called over‐solving. This paper proposes and discusses several methods that circumvent over‐solving. The residual balance, relaxed relative tolerance, alternating nonlinear, and solution interruption methods are described, and their performance is compared with Picard iteration. A steady state problem with coupling along an interface and a transient problem with two fields coupled throughout the spatial domain are solved as examples. These problems demonstrate that the savings associated with eliminating over‐solving can reach at least 30% without any loss in accuracy. Copyright © 2017 John Wiley & Sons, Ltd.

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Section: Conjugate Heat Transfermentioning

confidence: 99%

Approaches for mitigating over‐solving in multiphysics simulations

Senecal

2017

Numerical Meth Engineering

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“…Implicit variants can be obtained by forming and solving an overall implicit system to be solved involving all subsystem state vectors. This approach is however highly complex, intrusive, and the associated linear system may be poorly conditioned [1,2] because of both the multiscale character and the potentially different discretisations. Alternatively, the monolithic solution can be obtained without forming the fully-implicit global system, but by iteratively solving a fixed-point problem on the coupling variables, each iteration requiring the solution of each subsystem computed in a partitioned manner [3,4].…”

Section: Introductionmentioning

confidence: 99%

Multistep interface coupling for high-order adaptive black-box multiphysics simulations

François,

Massot

2023

10th Edition of the International Conference on Computational Methods for Coupled Problems in Science and Engineering

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Many multiphysics problem can be described by the coupling of several models through physical surfaces. Relying on existing model-specific solvers is very desirable, however they must be coupled in a way that ensures an accurate and stable coupled simulation. In this contribution, we present a multistep coupling scheme which relies on the history of the exchanged quantities to enable a high-order accurate coupling with time adaptation. Explicit and implicit variants are discussed in details. Numerical experiments conducted with an opensource demonstrator on a conjugate heat transfer problem show that high-order convergence is attained, and that stability is favourable compared to other classical approaches.

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