In real-world engineering problems, the method of model simplification is usually adopted to increase the simulation efficiency. Nevertheless, the obtained simulation results are commonly with low accuracy. To research the impact from model simplification on simulation results, a feature-based predictive method for simplified CAE model analysis is proposed in this paper. First, the point clouds are used to represent the features of simplified model. Then the features are quantified according to the factors of position for further analysis. A formulated predictive model is then established to evaluate the responses of interest for different models, which are specified by the employed simplification methods. The proposed method is demonstrated through an engineering case. The results suggest that the predictive model can facilitate the analysis procedure to reduce the cost in CAE analysis.
A Feature-Based Responses Prediction Method for Simplified CAE Models
Sae Technical Papers
WCX SAE World Congress Experience ; 2019
2019-04-02
Aufsatz (Konferenz)
Englisch
British Library Conference Proceedings | 2007
|A simplified wing rock prediction method
AIAA | 1993
|Simplified sonic-boom prediction
NTRS | 1978
|Simplified sonic-boom prediction
TIBKAT | 1978
|