PlumX Metrics
Embed PlumX Metrics

A balanced load mapping method based on radial basis functions and fuzzy sets

International Journal for Numerical Methods in Engineering, ISSN: 1097-0207, Vol: 115, Issue: 12, Page: 1411-1429
2018
  • 33
    Citations
  • 0
    Usage
  • 16
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    33
    • Citation Indexes
      33
  • Captures
    16

Article Description

A common issue in multiphysics analysis regards a reliable way for loose couplings, because the same object is modeled using different mesh refinements, each one suited for a proper field of physics. Output data originating from a simulation environment are transferred as input data to a different model to run a new analysis. It is strongly desirable that such information transfers in a conservative way in terms of general balance. This paper faces the problem of pressure mapping between widely dissimilar meshes. The proposed procedure yields two steps: pressure interpolation by means of radial basis functions and fuzzy subset correction. The first step is pointwise interpolation that exploits a series of basis functions. The second step applies to the outcome of the first one to reestablish load balance between the two models through the introduction of a smooth correction field. Practical tests from the aeronautical field allow validating the method.

Bibliographic Details

Provide Feedback

Have ideas for a new metric? Would you like to see something else here?Let us know