Changes between Version 1 and Version 2 of ANSLib


Ignore:
Timestamp:
04/18/12 13:59:00 (12 years ago)
Author:
cfog
Comment:

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  • ANSLib

    v1 v2  
    99The basic infrastructure of this generic solver has been validated for unstructured meshes and high-order (up to fourth-order) accuracy for a variety of problems, including:
    1010
    11     Advection
    12     Advection-diffusion
    13     Poisson's equation
    14     Linear solid mechanics
    15     Incompressible laminar flow, including heat transfer
    16     Compressible inviscid flow, with and without shocks
    17     Compressible laminar flow
     11   * Advection
     12   * Advection-diffusion
     13   * Poisson's equation
     14   * Linear solid mechanics
     15   * Incompressible laminar flow, including heat transfer
     16   * Compressible inviscid flow, with and without shocks
     17   * Compressible laminar flow
    1818
    1919As this list suggests, both convective and diffusive terms can be modeled correctly to high-order accuracy.
     
    2121Recent student theses have focused on applications of this generic solver to problems in computational aerodynamics. Our contributions to the field include:
    2222
    23     Efficient convergence for high-order methods. Two recent PhD students explored Newton-GMRES algorithms for high-order solution to transonic aerodynamic problems. Both matrix-free and matrix-explicit methods were developed. The latter is particularly noteworthy, because the ability to compute the full Jacobian matrix for the flow problem has applications in mesh adaptation, optimization, and accuracy analysis.
     23    1. Efficient convergence for high-order methods. Two recent PhD students explored Newton-GMRES algorithms for high-order solution to transonic aerodynamic problems. Both matrix-free and matrix-explicit methods were developed. The latter is particularly noteworthy, because the ability to compute the full Jacobian matrix for the flow problem has applications in mesh adaptation, optimization, and accuracy analysis.
    2424
    25     High-order limiters. Many finite-volume schemes use limiters to prevent physical quantities like density and pressure from having overshoots near solution discontinuities, especially shock waves. Existing limiters had two problems for high-order schemes. First, existing approaches to applying a limiter to a high-order scheme still allow overshoots. Second, the way in which the limiter itself is computed degrades accuracy (typically to first order, actually, even for second-order schemes!). We have addressed both of these problems.
     25    1. High-order limiters. Many finite-volume schemes use limiters to prevent physical quantities like density and pressure from having overshoots near solution discontinuities, especially shock waves. Existing limiters had two problems for high-order schemes. First, existing approaches to applying a limiter to a high-order scheme still allow overshoots. Second, the way in which the limiter itself is computed degrades accuracy (typically to first order, actually, even for second-order schemes!). We have addressed both of these problems.
    2626
    27     High-order optimization. We have been able to show that our high-order schemes are more efficient in solving flow problems to a given level of accuracy than second-order schemes. Given that, we set out to develop a high-order optimization capability, reasoning that the optimization problem should also be quicker to solve to a given level of accuracy. This project is still ongoing.
     27    1. High-order optimization. We have been able to show that our high-order schemes are more efficient in solving flow problems to a given level of accuracy than second-order schemes. Given that, we set out to develop a high-order optimization capability, reasoning that the optimization problem should also be quicker to solve to a given level of accuracy. This project is still ongoing.
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