A Similarity Evaluation Metric for Mesh Based CAE Model Simplification and Its Application on Vehicle Chongqing University

Format:

Conference/Event

Author/Creator:

Yang, Yang, author.

Contributor:

Jiang, Nanliang

Lu, Jun

Yang, Junqi

Zhan, Zhenfei

Conference Name:

WCX 17: SAE World Congress Experience (2017-04-04 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2017

Summary:

AbstractTo obtain higher efficiency in analysis process, simplification methods for computer-aided engineering (CAE) models are required in engineering. Current model simplification methods can meet certain precision and efficiency requirement, but these methods mainly concentrate on model features while ignoring model mesh which is also critical to efficiency of the analysis process and preciseness of the results. To address such issues, an integrated mesh simplification and evaluation process is proposed in this paper. The mesh is simplified to fewer features (e.g. faces, edges, and vertices) through edge collapsing based on quadric error metric. Then curvatures and normal vectors which are the objects to be evaluated are extracted from the original and simplified models for comparison. To obtain accurate results, the geometric information of mesh nodes and elements are both considered in this evaluation process. The proposed method is implemented on a vehicle crash test. The results demonstrate the feasibility of the proposed integrated method

Notes:

Vendor supplied data

Publisher Number:

2017-01-1332

Access Restriction:

Restricted for use by site license