{"title":"The large time step scheme of Euler equations with source terms for nozzle flows","authors":"Han Ding , Zhansen Qian , Haitao Dong , Chong Pan","doi":"10.1016/j.cam.2025.116867","DOIUrl":null,"url":null,"abstract":"<div><div>Hyperbolic conservation laws with source terms govern critical flow phenomena, including turbulence transport and hypersonic chemically reacting flows. Despite their engineering significance, traditional numerical schemes for these systems face strict CFL (≤1.0) constraints, limiting computational efficiency. This study addresses the computational challenges posed by geometric source terms in Euler equations governing compressible nozzle flows. The proposed approach decomposes the governing equations into convective and source components: while convection is resolved via an LTS Godunov scheme, geometric source terms—arising from nozzle area variations (quasi-1D) or cylindrical coordinate transformations (2D axisymmetric)—are discretized using a novel combination of explicit and exact schemes. Numerical validations include: (1) quasi-1D cases under supersonic start/non-start conditions (internal shocks near outlets) at CFL ≤8.0, demonstrating shock-capturing accuracy with 55 % RMS error reduction at CFL = 8.0; (2) 2D hypersonic nozzle flows (Mach 4.0 design), achieving stable simulations at CFL = 5.0 with <1 % exit Mach deviation and 66 % runtime reduction. Results confirm that the proposed LTS framework overcomes CFL ≤1.0 limitations while enhancing efficiency—computational costs and errors decrease monotonically with increasing CFL numbers. This method establishes a generalizable paradigm for stiff, multidimensional Euler systems, balancing robustness and accuracy without sacrificing explicit computation advantages.</div></div>","PeriodicalId":50226,"journal":{"name":"Journal of Computational and Applied Mathematics","volume":"473 ","pages":"Article 116867"},"PeriodicalIF":2.6000,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational and Applied Mathematics","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0377042725003814","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
Hyperbolic conservation laws with source terms govern critical flow phenomena, including turbulence transport and hypersonic chemically reacting flows. Despite their engineering significance, traditional numerical schemes for these systems face strict CFL (≤1.0) constraints, limiting computational efficiency. This study addresses the computational challenges posed by geometric source terms in Euler equations governing compressible nozzle flows. The proposed approach decomposes the governing equations into convective and source components: while convection is resolved via an LTS Godunov scheme, geometric source terms—arising from nozzle area variations (quasi-1D) or cylindrical coordinate transformations (2D axisymmetric)—are discretized using a novel combination of explicit and exact schemes. Numerical validations include: (1) quasi-1D cases under supersonic start/non-start conditions (internal shocks near outlets) at CFL ≤8.0, demonstrating shock-capturing accuracy with 55 % RMS error reduction at CFL = 8.0; (2) 2D hypersonic nozzle flows (Mach 4.0 design), achieving stable simulations at CFL = 5.0 with <1 % exit Mach deviation and 66 % runtime reduction. Results confirm that the proposed LTS framework overcomes CFL ≤1.0 limitations while enhancing efficiency—computational costs and errors decrease monotonically with increasing CFL numbers. This method establishes a generalizable paradigm for stiff, multidimensional Euler systems, balancing robustness and accuracy without sacrificing explicit computation advantages.
期刊介绍:
The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest.
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