arXiv · 2508.02042
Hybrid Compact Least-Squares and Central Weighted Essentially Non-Oscillatory Schemes for Hyperbolic Conservation Laws on Structured Curvilinear Grids
Abstract
A series of third- and fifth-order hybrid compact least-squares central weighted essentially non-oscillatory schemes are proposed and applied to curvilinear structured grids for the finite volume method. In smooth regions, compact least-squares schemes based on interfacial differences of derivatives are utilized to keep the high resolution of multiscale structures, whereas in discontinuous regions, central weighted essentially non-oscillatory schemes are included to enable the oscillation free shock capturing capability of the hybrid schemes. Free parameters in the proposed compact least-squares schemes are firstly optimized to reach a broad range of resolved bandwidths with different levels of dissipation. In addition, a shock detector proposed in our previous work is introduced and validated to be not only able to detect smooth first-order extrema but also robust in detecting discontinuities. Through the solution of block tridiagonal reconstruction linear systems, the resulting schemes can give an explicit polynomial for each control volume and are efficient with an acceptable computational overhead when compared to the pure central weighted essentially non-oscillatory schemes. Eventually, benchmarks including one-dimensional and two-dimensional, linear and nonlinear, inviscid and viscous problems on uniform and nonuniform curvilinear grids demonstrate the proposed schemes' promising applicability in compressible flows which have both multiscale structures and discontinuities.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Jianhua Pan, Luxin Li, Ji Yin, Wei-Gang Zeng. 2025-08-04. Hybrid Compact Least-Squares and Central Weighted Essentially Non-Oscillatory Schemes for Hyperbolic Conservation Laws on Structured Curvilinear Grids. https://arxiv.org/abs/2508.02042
Cite the original work for its findings. Save a collection to share your selection of sources.