A Novel Method for Pressure Mapping between Shell Meshes of Varying Geometries and Resolutions

Marko, Matthew

doi:10.3390/computation7020029

Cited by 1 publication

(1 citation statement)

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“…There are many tools and study to map pressure data to FEM model [8][9][10][11]18]. Many studies also point out how to model fluid-solid interaction [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Aerodynamic Pressure Mapping Technique from CFD to FEM Model of N219 Winglet

Fadhil

Prayoga

Eriawan

et al. 2021

CFDL

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Due to relatively complex geometry of N219 winglets, CFD simulations have to be conducted to predict the aerodynamic load by the structure in some critical flight conditions. Since the aerodynamic CFD model is not the same as the finite element model of the structure, there is a need to accurately transform the load data between the two models. This paper discusses a simple alternative technique to map pressure distribution from the mesh or face zone of a CFD simulation to an FEM model using a Matlab based in-house code program. The technique focuses on how an FEM shell element has same pressure value with its nearest CFD element. Although the cumulative forces sometimes give different result, the pressure distribution is highly accurate, moreover when the FEM model has smoother elements. Validation has been conducted by comparing with other pressure mapping technique of a commercial software Patran. The results show a good agreement where the present technique provide a more accurate result especially for the critical biggest load among the cumulative forces in the three-dimensional direction. The proposed technique is currently suitable to evaluate loading characteristics of semi monocoque structures. A further treatment of the technique for other types of structure is currently under development.

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“…There are many tools and study to map pressure data to FEM model [8][9][10][11]18]. Many studies also point out how to model fluid-solid interaction [12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%