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您的检索式：作者名="Derek Gaston"
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| 1 | MOOSE: A parallel computational framework for coupled systems of nonlinear equations显示文摘 | Derek Gaston Chris Newman Glen Hansen Damien Lebrun-Grandié | 2009 | Nuclear Engineering and Design2009，，10： | 1 |
| 2 | Parallel Algorithms and Software for Nuclear,Energy,and Environmental Applications.Part Ⅰ:Multiphysics Algorithms显示文摘There is a growing trend within energy and environmental simulation to consider tightly coupled solutions to multiphysics problems.This can be seen in nuclear reactor analysis where analysts are interested in coupled flow,heat transfer and neutronics,and in nuclear fuel performance simulation where analysts are interested in thermomechanics with contact coupled to species transport and chemistry.In energy and environmental applications,energy extraction involves geomechanics,flow through porous media and fractured formations,adding heat transport for enhanced oil recovery and geothermal applications,and adding reactive transport in the case of applications modeling the underground flow of contaminants.These more ambitious simulations usually motivate some level of parallel computing.Many of the physics coupling efforts to date utilize simple code coupling or first-order operator splitting,often referred to as loose coupling.While these approaches can produce answers,they usually leave questions of accuracy and stability unanswered.Additionally,the different physics often reside on distinct meshes and data are coupled via simple interpolation,again leaving open questions of stability and accuracy.∗Corresponding author.Email addresses:Derek.Gaston@inl.gov(D.Gaston),This paper is the first part of a two part sequence on multiphysics algorithms and software.Part I examines the importance of accurate time and space integration and that the degree of coupling used for the solution should match the requirements of the simulation.It then discusses the preconditioned Jacobian-free Newton Krylov solution algorithm that is used for both multiphysics and multiscale solutions.Part II[1]presents the software framework;the Multiphysics Object Oriented Simulation Environment(MOOSE)and discusses applications based on it. | Derek Gaston Luanjing Guo Glen Hansen Hai Huang Richard Johnson Dana Knoll Chris Newman Hyeong Kae Park Robert Podgorney Michael Tonks Richard Williamson | 2012 | Communications in Computational Physics2012，12，8： | 0 |
| 3 | Parallel Algorithms and Software for Nuclear,Energy,and Environmental Applications.Part Ⅱ:Multiphysics Software显示文摘This paper is the second part of a two part sequence on multiphysics algorithms and software.The first[1]focused on the algorithms;this part treats the multiphysics software framework and applications based on it.Tight coupling is typically designed into the analysis application at inception,as such an application is strongly tied to a composite nonlinear solver that arrives at the final solution by treating all equations simultaneously.The applicationmust also take care tominimize both time and space error between the physics,particularly if more than one mesh representation is needed in the solution process.This paper presents an application framework that was specifically designed to support tightly coupled multiphysics analysis.The Multiphysics Object Oriented Simulation Environment(MOOSE)is based on the Jacobian-freeNewton-Krylov(JFNK)method combined with physics-based preconditioning to provide the underlying mathematical structure for applications.The report concludes with the presentation of a host of nuclear,energy,and environmental applications that demonstrate the efficacy of the approach and the utility of a well-designed multiphysics framework. | Derek Gaston Luanjing Guo Glen Hansen Hai Huang Richard Johnson Dana Knoll Chris Newman Hyeong Kae Park Robert Podgorney Michael Tonks Richard Williamson | 2012 | Communications in Computational Physics2012，12，8： | 0 |
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