237 research outputs found
Progress and Future Prospects for Particle-Based Simulation of Hypersonic Flow
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/106455/1/AIAA2013-2613.pd
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Solving the Boltzmann equation on GPU’s
This paper was presented at the 2nd Micro and Nano Flows Conference (MNF2009), which was held at Brunel University, West London, UK. The conference was organised by Brunel University and supported by the Institution of Mechanical Engineers, IPEM, the Italian Union of Thermofluid dynamics, the Process Intensification Network, HEXAG - the Heat Exchange Action Group and the Institute of Mathematics and its Applications.We present algorithms specifically tailored for solving kinetic equations onto graphics processing units. Unlike particle methods, the proposed methods of solution are ideally suited for solving the unsteady low speed flows which typically occur inMEMS containing oscillating components. The efficiency of the algorithms is demonstrated by solving the two-dimensional low Mach number driven cavity flow of a monatomic gas. Computational results show that it is possible to cut down the computing time of the sequential codes up to two order of magnitudes. The algorithms can easily be extended to three-dimensional flows and to non-equilibrium flows of mixtures
Direct numerical simulation of compressible turbulence accelerated by graphics processing unit. Part 1: An open-source high accuracy accelerated computational fluid dynamic software
This paper introduces open-source computational fluid dynamics software named
open computational fluid dynamic code for scientific computation with graphics
processing unit (GPU) system (OpenCFD-SCU), developed by the authors for direct
numerical simulation (DNS) of compressible wall-bounded turbulence. This
software is based on the finite difference method and is accelerated by the use
of a GPU, which provides an acceleration by a factor of more than 200 compared
with central processing unit (CPU) software based on the same algorithm and
number of message passing interface (MPI) processes, and the running speed of
OpenCFD-SCU with just 512 GPUs exceed that of CPU software with 130\,000 CPUs.
GPU-Stream technology is used to implement overlap of computing and
communication, achieving 98.7\% parallel weak scalability with 24\,576 GPUs.
The software includes a variety of high-precision finite difference schemes,
and supports a hybrid finite difference scheme, enabling it to provide both
robustness and high precision when simulating complex supersonic and hypersonic
flows. When used with the wide range of supercomputers currently available, the
software should able to improve the performance of large-scale simulations by
up to two orders on the computational scale. Then, OpenCFD-SCU is applied to a
validation and verification case of a Mach 2.9 compression ramp with mesh
numbers up to 31.2 billion. More challenging cases using hybrid finite schemes
are shown in Part 2(Dang, Li et al. 2022). The code is available and supported
at \url{http://developer.hpccube.com/codes/danggl/opencfd-scu.git}.Comment: 23 pages, 25 figure
Implicit High-Order Flux Reconstruction Solver for High-Speed Compressible Flows
The present paper addresses the development and implementation of the first
high-order Flux Reconstruction (FR) solver for high-speed flows within the
open-source COOLFluiD (Computational Object-Oriented Libraries for Fluid
Dynamics) platform. The resulting solver is fully implicit and able to simulate
compressible flow problems governed by either the Euler or the Navier-Stokes
equations in two and three dimensions. Furthermore, it can run in parallel on
multiple CPU-cores and is designed to handle unstructured grids consisting of
both straight and curved edged quadrilateral or hexahedral elements. While most
of the implementation relies on state-of-the-art FR algorithms, an improved and
more case-independent shock capturing scheme has been developed in order to
tackle the first viscous hypersonic simulations using the FR method. Extensive
verification of the FR solver has been performed through the use of
reproducible benchmark test cases with flow speeds ranging from subsonic to
hypersonic, up to Mach 17.6. The obtained results have been favorably compared
to those available in literature. Furthermore, so-called super-accuracy is
retrieved for certain cases when solving the Euler equations. The strengths of
the FR solver in terms of computational accuracy per degree of freedom are also
illustrated. Finally, the influence of the characterizing parameters of the FR
method as well as the the influence of the novel shock capturing scheme on the
accuracy of the developed solver is discussed
Computational fluid dynamics using Graphics Processing Units: Challenges and opportunities
A new paradigm for computing fluid flows is the use of Graphics Processing Units (GPU), which have recently become very powerful and convenient to use. In the past three years, we have implemented five different fluid flow algorithms on GPUs and have obtained significant speed-ups over a single CPU. Typically, it is possible to achieve a factor of 50-100 over a single CPU. In this review paper, we describe our experiences on the various algorithms developed and the speeds achieved
Forty Years of Computational Fluid Dynamics Research in India-Achievements and Issues
A review of the emergence and maturing of computational fluid dynamics (CFD) research in India over the last four decades is presented. The status of in-house developed CFD codes in various aerospace laboratories and academic institutions in the country is described along with their strengths and weaknesses. Although, some level of maturity is achieved in CFD to address the external flow problems of an aerospace vehicle, the slow growth of indigenous reacting CFD codes forced Indian aerospace industry to depend solely on the commercial software for addressing the internal flow problems related to propulsion and combustion. A brief account of various technical and managerial issues in CFD development is presented. A roadmap is proposed for the graduation of CFD codes, from analysis tool to design tool.Defence Science Journal, 2010, 60(6), pp.567-576, DOI:http://dx.doi.org/10.14429/dsj.60.60
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