论文标题
非侵入性降低订单模型，以准确预测可压缩流体动力学中的分叉现象
Non-intrusive reduced order models for the accurate prediction of bifurcating phenomena in compressible fluid dynamics
论文作者
论文摘要
目前的工作重点是研究可压缩流体动力学中的分叉溶液。一方面，使用不连续的Galerkin方法离散的可压缩Navier-Stokes方程的高保真模拟对问题的物理学进行了彻底研究。另一方面，从数值建模的角度来看，采用了两种不同的非侵入式降级建模技术来预测分叉的整体行为。即使在溶液特别不平滑的分叉点附近，这两种方法都与全阶模拟均具有良好的一致性。
The present works is focused on studying bifurcating solutions in compressible fluid dynamics. On one side, the physics of the problem is thoroughly investigated using high-fidelity simulations of the compressible Navier-Stokes equations discretised with the Discontinuous Galerkin method. On the other side, from a numerical modelling point of view, two different non-intrusive reduced order modelling techniques are employed to predict the overall behaviour of the bifurcation. Both approaches showed good agreement with full-order simulations even in proximity of the bifurcating points where the solution is particularly non-smooth.
