Development of an advanced implicit algorithm for MHD computations on parallel supercomputers /

The primary objective of this project is to develop an advanced algorithm for parallel supercomputers to model time-dependent magnetohydrodynamics (MHD) in all three dimensions. This will provide a valuable tool for the design and testing of plasma related technologies that are important to the Air Force and industry. Implementing the algorithm on parallel supercomputers will allow the detailed modeling of realistic plasmas in complex three-dimensional geometries. We have developed a time-dependent, two-dimensional, arbitrary-geometry version of the algorithm, placed it into a testbed code, added the modifications necessary for viscous and resistive effects, and tested the code against known analytical problems. We have implemented the algorithm on a parallel architecture and investigated parallelization strategies. Future plans include installing the algorithm into MACH2, optimizing the parallelization, extending the code to three dimensions, installing the three-dimensional algorithm into MACH3, and calibrating the code with experimental data.Photocopy."Final Techncial Report : May 1, 1996 -- April 30, 1998.""July 28, 1998."Includes bibliographical references (pages 60-62).The primary objective of this project is to develop an advanced algorithm for parallel supercomputers to model time-dependent magnetohydrodynamics (MHD) in all three dimensions. This will provide a valuable tool for the design and testing of plasma related technologies that are important to the Air Force and industry. Implementing the algorithm on parallel supercomputers will allow the detailed modeling of realistic plasmas in complex three-dimensional geometries. We have developed a time-dependent, two-dimensional, arbitrary-geometry version of the algorithm, placed it into a testbed code, added the modifications necessary for viscous and resistive effects, and tested the code against known analytical problems. We have implemented the algorithm on a parallel architecture and investigated parallelization strategies. Future plans include installing the algorithm into MACH2, optimizing the parallelization, extending the code to three dimensions, installing the three-dimensional algorithm into MACH3, and calibrating the code with experimental data.Report prepared by Aerospace & Energetics Research Program, University of Washington, Seattle, Washington, under contract no.Mode of access: Internet