A Feature-Based Responses Prediction Method for Simplified CAE Models

2019-01-0516

04/02/2019

Features
Event
WCX SAE World Congress Experience
Authors Abstract
Content
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.
Meta TagsDetails
DOI
https://doi.org/10.4271/2019-01-0516
Pages
6
Citation
Wang, Q., Xu, H., Yang, X., Zhan, Z. et al., "A Feature-Based Responses Prediction Method for Simplified CAE Models," SAE Technical Paper 2019-01-0516, 2019, https://doi.org/10.4271/2019-01-0516.
Additional Details
Publisher
Published
Apr 2, 2019
Product Code
2019-01-0516
Content Type
Technical Paper
Language
English