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A Combined Entropy and Output-based Adjoint Approach for Mesh Refinement and Error Estimation

机译:基于熵和输出的联合伴随方法用于网格细化和误差估计

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This paper presents a strategy for mesh refinement driven by an indicator that combines two previously-investigated indicators: one based on a user-specified engineering output, and the other based on entropy variables. Using the entropy-variable indicator to adapt a mesh is computationally advantageous since it does not require the solution of an auxiliary adjoint equation. However, the entropy-variable indicator targets any region of the domain where spurious entropy is generated, regardless of whether or not this region affects an engineering output of interest. On the other hand, an indicator computed from an engineering output generally targets only those regions important for the chosen output, though it is more computationally taxing because of the required adjoint solution. Approximations in the adjoint calculation reduce this cost, at the expense of indicator accuracy. In combining these indicators, our objective is to maintain the low cost of approximate adjoint solutions while achieving improved indicator accuracy from the entropy adjoint. We demonstrate the potential for this method through several simulations governed by the compressible Navier-Stokes equations.
机译:本文提出了一种由指标驱动的网格细化策略,该指标结合了两个先前研究的指标:一个基于用户指定的工程输出,另一个基于熵变量。使用熵变量指示符来适应网格在计算上是有利的,因为它不需要求解辅助伴随方程。但是,熵变量指示符以生成伪熵​​的域的任何区域为目标,而不管该区域是否影响目标工程输出。另一方面,从工程输出计算出的指标通常只针对那些对所选输出很重要的区域,尽管由于需要伴随解决方案而在计算上更加费力。伴随计算中的近似值减少了此成本,但以指示符准确性为代价。通过结合这些指标,我们的目标是保持近似伴随解决方案的低成本,同时通过熵伴随实现提高的指示符准确性。我们通过由可压缩的Navier-Stokes方程控制的几个模拟,证明了该方法的潜力。

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