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Wednesday, February 12, 2020 | History

3 edition of CFD research, parallel computation and aerodynamic optimization found in the catalog.

CFD research, parallel computation and aerodynamic optimization

CFD research, parallel computation and aerodynamic optimization

  • 236 Want to read
  • 33 Currently reading

Published by MCAT Institute, National Aeronautics and Space Administration, National Technical Information Service, distributor in San Jose, CA, [Washington, DC, Springfield, Va .
Written in English

    Subjects:
  • Civil aviation.,
  • Computation.,
  • Computational fluid dynamics.,
  • Design analysis.,
  • Flow distribution.,
  • Imcompressible flow.,
  • Supersonic transports.

  • Edition Notes

    StatementJames S. Ryan.
    SeriesNASA contractor report -- NASA CR-197748.
    ContributionsUnited States. National Aeronautics and Space Administration.
    The Physical Object
    FormatMicroform
    Pagination1 v.
    ID Numbers
    Open LibraryOL15413736M

    Thus both single processor and parallel versions of the code have been developed using the cell-center formulation. The parallelization strategy has been developed and extensively tested thus far using a single block implementation. Tahara1, E. Damodaran, C.

    Many Full Potential codes emerged after this, culminating in Boeing's Tranair A code, [29] which still sees heavy use. Quek and M. Learn More Speed and simplicity Thoughtful changes permeate every screen, every step, making simulation a joy. Damodaran, Dominic D. Dongre and M.

    Karakasis, K. This method of updating the free surface works well for the Euler equations since tangency along the hull can be easily enforced. Liang, Sri N. Prasad, T.


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CFD research, parallel computation and aerodynamic optimization Download PDF Ebook

By increasing s one can generate a sequence of limited averages which approach a limit defined by the arithmetic mean truncated to zero when p and q have opposite signs. The advantage of the lower order codes was that they ran much faster on the computers of the time.

If this is the case, every processor in the domain would be responsible for the computations inside one or more blocks. Equation 8 is essentially parallel computation and aerodynamic optimization book linear hyperbolic equation, which in our original parallel computation and aerodynamic optimization book was discretized by central differences augmented by high order diffusion [ 89 ].

Preliminary testing of a multiblock version displays the scalability and efficiency of the method. John Benzi and M. Fluent spans an expansive range, including special models, with capabilities to model in-cylinder combustion, aero-acoustics, turbomachinery and multiphase systems.

The entire iterative process, in which both the bulk flow and the parallel computation and aerodynamic optimization book surface are updated at each time step, is repeated until some measure of convergence is attained: usually steady state wave profile and wave resistance coefficient.

Eriksson and H. DOI: Mudur and S. Also, an extension to the computation of unsteady flows has been made feasible by the speedup. Jameson, and G. Another interpretation is that one starts with the CL and assumes a continuum medium see continuum mechanics.

But research in this direction has been sparse, and most have focused on data layout or cache performance modeling, rather than program transformations to match with the new memory hierarchy features.

Fluent also offers highly scalable, high-performance computing HPC to help solve complex, large-model computational fluid dynamics CFD simulations quickly and cost-effectively.

All rights reserved. This Mosaic meshing technology uses a high-quality boundary layer mesh to automatically combine a variety of boundary layer meshes, for fast and accurate flow resolution.

Sudani, R. The first paper with three-dimensional model was published by John Hess and A. Damodaran and Quock, Y. Results of parallel RANS solvers under development in our laboratory for aeronautical applications confirm the theoretical efficiency increase that will be obtained when viscous fluxes are switched on.

Li, C. Song, M. Data placement determines what data are placed on which type of memory, essential for GPU mem- ory performance. The module is general in formulation, and basically independent from basic flow solver, e.

Figure 11 displays parallel performance for the Euler equations, evaluated on an IBM SP2, a distributed memory machine, and confirms the good scalability of our algorithm. Li Ling, M. These range from air flow over an aircraft wing to combustion in a furnace, from bubble columns to oil platforms, from blood flow to semiconductor manufacturing and from clean room design to wastewater treatment plants.

Due to topological constraints, more complicated geometries cannot be treated with a single block structured mesh.John Benzi and M.

Damodaran, "Parallel Direct Simulation Monte-Carlo Model for Simulation of Airflow in the Hard Disk Drive Slider Head Disk Interface Gap" Paper ParCFD presented at Parallel Computational Fluid Dynamics Conference, PARCFD’07, Antayala.

Wing Design via Numerical Optimization Joaquim R. R. A. Martins in aerodynamic shape optimization [9]. Development of a common research model for ap-plied CFD validation studies, AIAA Relaxations for Some NP-Hard Problems Based on Exact Subgraphs.

Parallel Computational Fluid Dynamics '99: Towards Teraflops, Optimization and Novel Formulations

Introduction. Innovative optimization and design techniques for modern aircraft (manned or UAV/UCAV) and engine systems aiming at maximum performance in a multidisciplinary context (aerodynamic efficiency, safety, drag, losses, weight, strength, heat fluxes, emission, noise, ), are now rapidly moving from research labs CFD research industrial real and virtual platforms.CFD research, parallel computation and aerodynamic optimization (SuDoc NAS )."The numerical optimization of practical applications is an issue of growing importance in research and industry.

It allows both the exploration of non-trivial configurations differing widely from all known solutions and the step-by-step improvement of existing designs.".Optimization Methods for Computational Fluid Ebook This von Karman Lecture Series intends to provide the basic concepts and tools behind this technology, both in single discipline (single point or multi point design) and multidisciplinary (fluid-structure interaction.