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

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

Deadline for manuscript submissions: closed (15 May 2024) | Viewed by 3700

Special Issue Editors

Dr. Anup Zope

E-Mail Website
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
Dr. Shanti Bhushan

E-Mail Website
Guest Editor
Department of Mechanical Engineering, Mississippi State University, Starkville, MS 39762, USA
Interests: computational fluid dynamics; turbulence modeling; high performance computing
Special Issues, Collections and Topics in MDPI journals

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

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Published Papers (2 papers)

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Research

27 pages, 9307 KiB  
Article
Development and Verification of Coupled Fluid–Structure Interaction Solver
by Avery Schemmel, Seshendra Palakurthy, Anup Zope, Eric Collins and Shanti Bhushan
Computation 2024, 12(6), 129; https://doi.org/10.3390/computation12060129 - 20 Jun 2024
Cited by 1 | Viewed by 936
Abstract
Recent trends in aeroelastic analysis have shown a great interest in understanding the role of shock boundary layer interaction in predicting the dynamic instability of aircraft structural components at supersonic and hypersonic flows. The analysis of such complex dynamics requires a time-accurate fluid-structure [...] Read more.
Recent trends in aeroelastic analysis have shown a great interest in understanding the role of shock boundary layer interaction in predicting the dynamic instability of aircraft structural components at supersonic and hypersonic flows. The analysis of such complex dynamics requires a time-accurate fluid-structure interaction solver. This study focuses on the development of such a solver by coupling a finite-volume Navier-Stokes solver for fluid flow with a finite-element solver for structural dynamics. The coupled solver is then verified for the prediction of several panel instability cases in 2D and 3D uniform flows and in the presence of an impinging shock for a range of subsonic and supersonic Mach numbers, dynamic pressures, and shock strengths. The panel deflections and limit cycle oscillation amplitudes, frequencies, and bifurcation point predictions were compared within 10% of the benchmark results; thus, the solver was deemed verified. Future studies will focus on extending the solver to 3D turbulent flows and applying the solver to study the effect of turbulent load fluctuations and shock boundary layer interactions on the fluid-structure coupling and structural dynamics of 2D panels. Full article
(This article belongs to the Special Issue Emerging Trends and Applications in High-Fidelity Computational Fluid Dynamics Simulation)
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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 2172
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
(This article belongs to the Special Issue Emerging Trends and Applications in High-Fidelity Computational Fluid Dynamics Simulation)
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