A tightly-coupled domain-decomposition approach for highly nonlinear stochastic multiphysics systems
A tightly-coupled domain-decomposition approach for highly nonlinear stochastic multiphysics systems
复制标题
高度非线性随机多物理场系统的紧耦合域分解方法
DOI:
10.1016/j.jcp.2016.10.052
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发表时间:
2017
期刊:
影响因子:
--
通讯作者:
D. Tartakovsky
中科院分区:
文献类型:
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作者:
S. Taverniers;D. Tartakovsky
Multiphysics simulations often involve nonlinear components that are driven by internally generated or externally imposed random fluctuations. When used with a domain-decomposition (DD) algorithm, such components have to be coupled in a way that both accurately propagates the noise between the subdomains and lends itself to a stable and cost-effective temporal integration. We develop a conservative DD approach in which tight coupling is obtained by using a Jacobian-free Newton–Krylov (JfNK) method with a generalized minimum residual iterative linear solver. This strategy is tested on a coupled nonlinear diffusion system forced by a truncated Gaussian noise at the boundary. Enforcement of path-wise continuity of the state variable and its flux, as opposed to continuity in the mean, at interfaces between subdomains enables the DD algorithm to correctly propagate boundary fluctuations throughout the computational domain. Reliance on a single Newton iteration (explicit coupling), rather than on the fully converged JfNK (implicit) coupling, may increase the solution error by an order of magnitude. Increase in communication frequency between the DD components reduces the explicit coupling's error, but makes it less efficient than the implicit coupling at comparable error levels for all noise strengths considered. Finally, the DD algorithm with the implicit JfNK coupling resolves temporally-correlated fluctuations of the boundary noise when the correlation time of the latter exceeds some multiple of an appropriately defined characteristic diffusion time.
DOI:
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发表时间:
2005
期刊:
日本科学教育学会年会論文集 第29号
影响因子:
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作者:
中山 迅;大場裕子;猿田祐嗣
通讯作者:
猿田祐嗣