Exploring shock-capturing schemes for Particles on Demand simulation of compressible flows

TL;DR

This study integrates shock-capturing schemes into the Particles on Demand kinetic model to effectively simulate compressible flows with shocks, demonstrating stability and accuracy in capturing discontinuities.

Contribution

It introduces the application of shock-capturing techniques within the Particles on Demand framework for compressible flow simulation, enhancing stability and shock resolution.

Findings

Reconstruction schemes remove oscillations at shock locations.

Stable simulations of mild to extreme shocks are achieved.

Spectral analysis confirms the schemes' accuracy and properties.

Abstract

In this exploratory study, we apply shock-capturing schemes within the framework of the Particles on Demand kinetic model to simulate compressible flows with mild and strong shock waves and discontinuities. The model is based on the semi-Lagrangian method where the information propagates along the characteristics while a set of shock-capturing concepts such as the total variation diminishing and weighted essentially non-oscillatory schemes are employed to capture the discontinuities and the shock-waves. The results show that the reconstruction schemes are able to remove the oscillations at the location of the shock waves and together with the Galilean invariance nature of the Particles on Demand model, stable simulations of mild to extreme compressible benchmarks can be carried out. Moreover, the essential numerical properties of the reconstruction schemes such as their spectral analysis and order of accuracy are discussed.