AI & ML
Feature-preserving interface reconstruction using piecewise circles and cusps
arXiv cs.NA0 views
arXiv:2610.41305v1 Announce Type: cross Abstract: We present a geometric interface reconstruction method for Volume-of-Fluid (VOF) simulations that captures both curved interfaces and sharp features using only volume fraction data. We represent interfaces with linear facets, circular arcs, and corner facets formed by two lines or arcs joined within a single cell. We first propagate local orientation constraints through a graph and merge cells to resolve ambiguities, treating topological consistency as a first-class constraint. An optional conservative refinement improves $C^0$ continuity while preserving local volume constraints. Users can independently enable circular facets, corner facets, cell merging, and continuity refinement to balance accuracy and computational cost. In its simplest configuration, our method provides a fast local line-fitting scheme competitive with state-of-the-art PLIC methods. On standard static benchmarks, the full configuration reconstructs identifiable lines, circles, and sufficiently resolved corners to numerical precision on coarse, perturbed Cartesian meshes. On varying-curvature interfaces, it achieves third-order convergence in facet-gap error and approximately first-order convergence in curvature error. These results demonstrate global volume conservation and accurate reconstruction of curved and corner features.
Source:https://arxiv.org/abs/2610.41305PreviousGeneral Frequency Principle for Linear Approximation ClassesNextOn reduced SPDE models for stochastic Cucker-Smale flocking dynamics
Related posts
Yonkers Rises
0Simon Willison
I Built the Same App With Cursor, Copilot, Codex and Antigravity. Here's What Each Did Best
0dev.to
TailSteer reduces drift in multi‑turn image editing; History Forcing stabilizes long‑horizon video generation
0dev.to
Barkbox Promo Codes and Discounts: Up to 50% Off
0Wired
California’s proposed ‘billionaire tax’ fails to pass
0TechCrunch
UK Biobank 8만 단백질 데이터, 평면 화면으론 답이 안 보였다 — VR 분자 실험실에서 길을 찾다
0dev.to