NANAMar 23

Novel Adaptive Schemes for Hyperbolic Conservation Laws

arXiv:2509.189088.0h-index: 7
Predicted impact top 57% in NA · last 90 daysOriginality Incremental advance
AI Analysis

This work addresses computational challenges in fluid dynamics and related fields, but appears incremental as it builds on existing adaption strategies and numerical schemes.

The authors tackled the problem of accurately simulating hyperbolic conservation laws by developing adaptive schemes that combine different numerical methods based on solution smoothness, resulting in improved resolution of shock waves and contact discontinuities while avoiding spurious oscillations and nonphysical structures.

We introduce new adaptive schemes for the one- and two-dimensional hyperbolic systems of conservation laws. Our schemes are based on an adaption strategy recently introduced in [{\sc S. Chu, A. Kurganov, and I. Menshov}, Appl. Numer. Math., 209 (2025)]. As there, we use a smoothness indicator (SI) to automatically detect ``rough'' parts of the solution and employ in those areas the second-order finite-volume low-dissipation central-upwind scheme with an overcompressive limiter, which helps to sharply resolve nonlinear shock waves and linearly degenerate contact discontinuities. In smooth parts, we replace the limited second-order scheme with a quasi-linear fifth-order (in space and third-order in time) finite-difference scheme, recently proposed in [{\sc V. A. Kolotilov, V. V. Ostapenko, and N. A. Khandeeva}, Comput. Math. Math. Phys., 65 (2025)]. However, direct application of this scheme may generate spurious oscillations near ``rough'' parts, while excessive use of the overcompressive limiter may cause staircase-like nonphysical structures in smooth areas. To address these issues, we employ the same SI to distinguish contact discontinuities, treated with the overcompressive limiter, from other ``rough'' regions, where we switch to the dissipative Minmod2 limiter. Advantage of the resulting adaptive schemes are clearly demonstrated on a number of challenging numerical examples.

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