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An Overset Generalized Minimal Residual Method for the Multi-Solver Paradigm in Helios

机译:Helios中多解算范式的超广义广义最小残差方法

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An extension of the Generalized Minimal Residual Method is proposed to improve convergence in overset grid based computational fluid dynamics frameworks. The presented Overset-GMRES algorithm operates using the global residual of all meshes and demonstrates improved convergence over traditional approaches. Initial validation is conducted for the Poisson equation on Cartesian grids, demonstrating convergence in few iterations. Two cases are analyzed for the Navier-Stokes equations on Cartesian grids. The first is time-accurate vortex convection between nested meshes. The second is wake-capture analysis for an actuator-line model of the NREL Phase VI turbine using both time-accurate and steady, rotating-frame approaches. Finally, multi-solver analysis is conducted for a sphere in cross-flow simulated using a near-body sphere mesh overset within multiple nested Cartesian grids. For all cases the Overset-GMRES algorithm shows improved convergence over traditional techniques.
机译:提出了广义最小残差方法的扩展,以提高基于过剩网格的计算流体动力学框架的收敛性。提出的Overset-GMRES算法使用所有网格的全局残差进行运算,并证明了与传统方法相比的改进收敛性。在笛卡尔网格上对Poisson方程进行了初始验证,证明了在几次迭代中的收敛性。对于笛卡尔网格上的Navier-Stokes方程,分析了两种情况。首先是嵌套网格之间的时间精确涡旋对流。第二个是使用时间精确和稳定的旋转框架方法对NREL VI涡轮机执行器线模型进行的尾流捕获分析。最后,使用在多个嵌套笛卡尔网格内套叠的近体球体网格,对横流中的球体进行了多解算器分析。对于所有情况,Overset-GMRES算法均显示出优于传统技术的改进收敛性。

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