Emerging Trends and Applications in High-Fidelity Computational Fluid Dynamics Simulation

A special issue of Computation (ISSN 2079-3197).

Deadline for manuscript submissions: 15 May 2024 | Viewed by 1022

Special Issue Editors


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Guest Editor
Center for Advanced Vehicular Systems, Mississippi State University, Starkville, MS 39759, USA
Interests: computational fluid dynamics; fluid-structure-thermal interaction; flutter control devices; high performance computing; computer architecture

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Guest Editor
Department of Mechanical Engineering, Mississippi State University, Starkville, MS 39762, USA
Interests: computational fluid dynamics; turbulence modeling
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Special Issue Information

Dear Colleagues,

This Special Issue explores the latest advancements and applications in high-fidelity Computational Fluid Dynamics (CFD) simulation and algorithms. It invites researchers, academicians, and industry experts to contribute original research articles, reviews, and case studies in the field.

The issue focuses on topics such as turbulent flows, multiphase flows, combustion modeling, aerodynamics, heat transfer, and high-performance implementation aspects of related numerical methods on cluster and heterogeneous architectures. It provides a platform for sharing knowledge, exchanging ideas, and fostering collaboration among experts in the field.

The outcomes of this research will have significant implications in aerospace engineering, automotive design, energy systems, environmental modeling, and other related fields. The Special Issue offers valuable insights into the methodologies, techniques, and applications driving high-fidelity CFD simulation.

We invite researchers to submit their contributions that advance the state-of-the-art in CFD simulation and offer new perspectives on its applications. Join us in exploring the frontier of computational fluid dynamics and shaping the future of engineering and scientific research.

Dr. Anup Zope
Dr. Shanti Bhushan
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computation is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • computational fluid dynamics (CFD)
  • high-fidelity simulation
  • fluid dynamics modeling
  • turbulent flows
  • multiphase flows
  • combustion modeling
  • aerodynamics
  • heat transfer
  • numerical methods
  • high performance computing
  • GPGPU computing

Published Papers (1 paper)

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Research

20 pages, 2060 KiB  
Article
Turbomachinery GPU Accelerated CFD: An Insight into Performance
by Daniel Molinero-Hernández, Sergio R. Galván-González, Nicolás D. Herrera-Sandoval, Pablo Guzman-Avalos, J. Jesús Pacheco-Ibarra and Francisco J. Domínguez-Mota
Computation 2024, 12(3), 57; https://doi.org/10.3390/computation12030057 - 11 Mar 2024
Viewed by 739
Abstract
Driven by the emergence of Graphics Processing Units (GPUs), the solution of increasingly large and intricate numerical problems has become feasible. Yet, the integration of GPUs into Computational Fluid Dynamics (CFD) codes still presents a significant challenge. This study undertakes an evaluation of [...] Read more.
Driven by the emergence of Graphics Processing Units (GPUs), the solution of increasingly large and intricate numerical problems has become feasible. Yet, the integration of GPUs into Computational Fluid Dynamics (CFD) codes still presents a significant challenge. This study undertakes an evaluation of the computational performance of GPUs for CFD applications. Two Compute Unified Device Architecture (CUDA)-based implementations within the Open Field Operation and Manipulation (OpenFOAM) environment were employed for the numerical solution of a 3D Kaplan turbine draft tube workbench. A series of tests were conducted to assess the fixed-size grid problem speedup in accordance with Amdahl’s Law. Additionally, tests were performed to identify the optimal configuration utilizing various linear solvers, preconditioners, and smoothers, along with an analysis of memory usage. Full article
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