Finite element model correlation of a composite UAV wing using modal frequencies

2007 ◽  
Author(s):  
Joseph A. Oliver ◽  
John B. Kosmatka ◽  
François M. Hemez ◽  
Charles R. Farrar
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Element Model ◽  
Model Correlation

scholarly journals Finite Element Model Correlation of an Investment Casting Process

2014 ◽  
Vol 797 ◽  
pp. 105-110 ◽  
Author(s):  
Eva Anglada ◽  
Antton Meléndez ◽  
Laura Maestro ◽  
Ignacio Domínguez
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Investment Casting ◽  
Material Properties ◽  
Casting Process ◽  
Element Model ◽  
Experimental Measurements ◽  
Manual Adjustment ◽  
Investment Casting Process ◽  
Model Correlation

The achievement of reliable simulations, in the case of complex processes as is the investment casting, is not a trivial task. Their accuracy is significantly related with the knowledge of the material properties and boundary conditions involved, but the estimation of these values usually is highly complex. One helpful option to try to avoid these difficulties is the use of inverse modelling techniques, where experimental temperature measurements are used as base to correlate the simulation models. The research presented hereafter corresponds to the correlation of a finite element model of the investment casting process of two nickel base superalloys, Hastelloy X and Inconel 718. The simulation model has been developed in a commercial software focused specifically on metal casting simulation. The experimental measurements used as base for the adjustment, have been performed at industrial facilities. The methodology employed combines the use of an automatic tool for model correlation with the manual adjustment guided by the researchers. Results obtained present a good agreement between simulation and experimental measurements, according to the industrial necessities. The model obtained is valid for the two studied cases with the only difference of the alloy material properties. The values obtained for the adjusted parameters in both cases are reasonable compared with bibliographic values. These two circumstances suggest that the obtained correlation is appropriate and no overfitting problems exist on it.

scholarly journals Model Reduction and Sensor Placement Methods for Finite Element Model Correlation

AIAA Journal ◽  
2016 ◽  
Vol 54 (12) ◽  
pp. 3941-3955 ◽  
Author(s):  
J. F. Mercer ◽  
G. S. Aglietti ◽  
A. M. Kiley
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Model Reduction ◽  
Sensor Placement ◽  
Element Model ◽  
Model Correlation

Base Force and Moment Based Finite Element Model Correlation Method

2021 ◽  
Author(s):  
K.K. Sairajan ◽  
Sameer S. Deshpande ◽  
M. N. M. Patnaik ◽  
D. Poomani
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Correlation Method ◽  
Element Model ◽  
Model Correlation

Finite Element Model Correlation

2020 ◽  
pp. 1-39
Author(s):  
Peter Avitabile ◽  
Michael Mains
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Element Model ◽  
Model Correlation

Finite Element Model Correlation for Offshore Structures

1992 ◽  
Vol 114 (3) ◽  
pp. 154-164 ◽  
Author(s):  
R. L. Tawekal ◽  
M. M. Bernitsas
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Element Model ◽  
Offshore Structures ◽  
Offshore Structure ◽  
Numerical Predictions ◽  
Large Perturbation ◽  
Large Admissible Perturbations ◽  
Static Deflection Measurements ◽  
Model Correlation

Agreement between measured response of an offshore structure and numerical predictions using an initial finite element model (IFEM) is in general poor. An algorithm is developed, which produces an updated finite element model (UFEM) that is fully correlated with respect to modal and static deflection measurements. An incremental nonlinear methodology based on large admissible perturbations in cognate space is used to produce the UFEM by postprocessing results of the initial FEA. No other FEA or trial and error are required. Iterations within each increment are used only to correct for dependence of hydrodynamic excitation on correlation variables. The UFEM corresponds to a real structure and may differ from the IFEM in response and correlation variables by 100–300 percent depending on correlation measures and structural size. Several numerical applications for three offshore structures are used to assess the strength, limitations, and cost of the large perturbation methodology.

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