A common issue of loose coupling of multi-physics simulations arises from the necessity to analyse the same structure relying on different meshes, each one suited for a different field of physics. Output data from a simulation must be transferred as input to another model to run a new analysis. It is strongly desirable for such information transfer to be conservative in terms of load balance. A novel method for pressure mapping between dissimilar meshes is presented. Transfer procedure consists of two steps: pressure interpolation by means of Radial Basis Functions and Fuzzy Subsets correction. The first is a pointwise interpolation using a series of basis functions. The second phase applies to the outcome of the first one to restore balance between the two models by introducing a smooth correction field. Practical test cases from the aeronautical field are presented to validate the proposed method.

Chiappa, A., Biancolini, M.e., Cella, U., Giorgetti, F., Groth, C. (2016). A conservative pressure mapping method based on Radial Basis Functions and Fuzzy Subsets. ??????? it.cilea.surplus.oa.citation.tipologie.CitationProceedings.prensentedAt ??????? International CAE Conference 2016.

A conservative pressure mapping method based on Radial Basis Functions and Fuzzy Subsets

CHIAPPA, ANDREA;BIANCOLINI, MARCO EVANGELOS;CELLA, UBALDO;GIORGETTI, FRANCESCO;GROTH, CORRADO
2016-10-01

Abstract

A common issue of loose coupling of multi-physics simulations arises from the necessity to analyse the same structure relying on different meshes, each one suited for a different field of physics. Output data from a simulation must be transferred as input to another model to run a new analysis. It is strongly desirable for such information transfer to be conservative in terms of load balance. A novel method for pressure mapping between dissimilar meshes is presented. Transfer procedure consists of two steps: pressure interpolation by means of Radial Basis Functions and Fuzzy Subsets correction. The first is a pointwise interpolation using a series of basis functions. The second phase applies to the outcome of the first one to restore balance between the two models by introducing a smooth correction field. Practical test cases from the aeronautical field are presented to validate the proposed method.
International CAE Conference 2016
Rilevanza internazionale
ott-2016
Settore ING-IND/14 - PROGETTAZIONE MECCANICA E COSTRUZIONE DI MACCHINE
English
Intervento a convegno
Chiappa, A., Biancolini, M.e., Cella, U., Giorgetti, F., Groth, C. (2016). A conservative pressure mapping method based on Radial Basis Functions and Fuzzy Subsets. ??????? it.cilea.surplus.oa.citation.tipologie.CitationProceedings.prensentedAt ??????? International CAE Conference 2016.
Chiappa, A; Biancolini, Me; Cella, U; Giorgetti, F; Groth, C
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/169546
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