Comprehensive Evaluation of the Massively Parallel Direct Simulation Monte Carlo Kernel “Stochastic Parallel Rarefied-Gas Time-Accurate Analyzer” in Rarefied Hypersonic Flows—Part A: Fundamentals

The Direct Simulation Monte Carlo (DSMC) method, introduced by Graeme Bird over five decades ago, has become a crucial statistical particle-based technique for simulating low-density gas flows. Its widespread acceptance stems from rigorous validation against experimental data. This study focuses on...

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Main Authors: Angelos Klothakis, Ioannis K. Nikolos
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Computation
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Online Access:https://www.mdpi.com/2079-3197/12/10/198
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author Angelos Klothakis
Ioannis K. Nikolos
author_facet Angelos Klothakis
Ioannis K. Nikolos
author_sort Angelos Klothakis
collection DOAJ
description The Direct Simulation Monte Carlo (DSMC) method, introduced by Graeme Bird over five decades ago, has become a crucial statistical particle-based technique for simulating low-density gas flows. Its widespread acceptance stems from rigorous validation against experimental data. This study focuses on four validation test cases known for their complex shock–boundary and shock–shock interactions: (a) a flat plate in hypersonic flow, (b) a Mach 20.2 flow over a 70-degree interplanetary probe, (c) a hypersonic flow around a flared cylinder, and (d) a hypersonic flow around a biconic. Part A of this paper covers the first two cases, while Part B will discuss the remaining cases. These scenarios have been extensively used by researchers to validate prominent parallel DSMC solvers, due to the challenging nature of the flow features involved. The validation requires meticulous selection of simulation parameters, including particle count, grid density, and time steps. This work evaluates the SPARTA (Stochastic Parallel Rarefied-gas Time-Accurate Analyzer) kernel’s accuracy against these test cases, highlighting its parallel processing capability via domain decomposition and MPI communication. This method promises substantial improvements in computational efficiency and accuracy for complex hypersonic vehicle simulations.
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spelling doaj-art-4bab21fb674a4f5c93ab7d6fd2f7a05b2025-08-20T02:11:15ZengMDPI AGComputation2079-31972024-10-01121019810.3390/computation12100198Comprehensive Evaluation of the Massively Parallel Direct Simulation Monte Carlo Kernel “Stochastic Parallel Rarefied-Gas Time-Accurate Analyzer” in Rarefied Hypersonic Flows—Part A: FundamentalsAngelos Klothakis0Ioannis K. Nikolos1Turbomachines and Fluid Dynamics Laboratory, School of Production Engineering and Management, Technical University of Crete, 73100 Chania, GreeceTurbomachines and Fluid Dynamics Laboratory, School of Production Engineering and Management, Technical University of Crete, 73100 Chania, GreeceThe Direct Simulation Monte Carlo (DSMC) method, introduced by Graeme Bird over five decades ago, has become a crucial statistical particle-based technique for simulating low-density gas flows. Its widespread acceptance stems from rigorous validation against experimental data. This study focuses on four validation test cases known for their complex shock–boundary and shock–shock interactions: (a) a flat plate in hypersonic flow, (b) a Mach 20.2 flow over a 70-degree interplanetary probe, (c) a hypersonic flow around a flared cylinder, and (d) a hypersonic flow around a biconic. Part A of this paper covers the first two cases, while Part B will discuss the remaining cases. These scenarios have been extensively used by researchers to validate prominent parallel DSMC solvers, due to the challenging nature of the flow features involved. The validation requires meticulous selection of simulation parameters, including particle count, grid density, and time steps. This work evaluates the SPARTA (Stochastic Parallel Rarefied-gas Time-Accurate Analyzer) kernel’s accuracy against these test cases, highlighting its parallel processing capability via domain decomposition and MPI communication. This method promises substantial improvements in computational efficiency and accuracy for complex hypersonic vehicle simulations.https://www.mdpi.com/2079-3197/12/10/198hypersonic flowsDirect Simulation Monte Carloaerodynamic performancecomputational fluid dynamicshypersonic vehicles
spellingShingle Angelos Klothakis
Ioannis K. Nikolos
Comprehensive Evaluation of the Massively Parallel Direct Simulation Monte Carlo Kernel “Stochastic Parallel Rarefied-Gas Time-Accurate Analyzer” in Rarefied Hypersonic Flows—Part A: Fundamentals
Computation
hypersonic flows
Direct Simulation Monte Carlo
aerodynamic performance
computational fluid dynamics
hypersonic vehicles
title Comprehensive Evaluation of the Massively Parallel Direct Simulation Monte Carlo Kernel “Stochastic Parallel Rarefied-Gas Time-Accurate Analyzer” in Rarefied Hypersonic Flows—Part A: Fundamentals
title_full Comprehensive Evaluation of the Massively Parallel Direct Simulation Monte Carlo Kernel “Stochastic Parallel Rarefied-Gas Time-Accurate Analyzer” in Rarefied Hypersonic Flows—Part A: Fundamentals
title_fullStr Comprehensive Evaluation of the Massively Parallel Direct Simulation Monte Carlo Kernel “Stochastic Parallel Rarefied-Gas Time-Accurate Analyzer” in Rarefied Hypersonic Flows—Part A: Fundamentals
title_full_unstemmed Comprehensive Evaluation of the Massively Parallel Direct Simulation Monte Carlo Kernel “Stochastic Parallel Rarefied-Gas Time-Accurate Analyzer” in Rarefied Hypersonic Flows—Part A: Fundamentals
title_short Comprehensive Evaluation of the Massively Parallel Direct Simulation Monte Carlo Kernel “Stochastic Parallel Rarefied-Gas Time-Accurate Analyzer” in Rarefied Hypersonic Flows—Part A: Fundamentals
title_sort comprehensive evaluation of the massively parallel direct simulation monte carlo kernel stochastic parallel rarefied gas time accurate analyzer in rarefied hypersonic flows part a fundamentals
topic hypersonic flows
Direct Simulation Monte Carlo
aerodynamic performance
computational fluid dynamics
hypersonic vehicles
url https://www.mdpi.com/2079-3197/12/10/198
work_keys_str_mv AT angelosklothakis comprehensiveevaluationofthemassivelyparalleldirectsimulationmontecarlokernelstochasticparallelrarefiedgastimeaccurateanalyzerinrarefiedhypersonicflowspartafundamentals
AT ioannisknikolos comprehensiveevaluationofthemassivelyparalleldirectsimulationmontecarlokernelstochasticparallelrarefiedgastimeaccurateanalyzerinrarefiedhypersonicflowspartafundamentals