A CAD System Embed Finite Element Modeling Method
- DOI
- 10.2991/978-94-6463-728-1_14How to use a DOI?
- Keywords
- Computer-Aided Design; Finite Element Modeling; Mesh; Software
- Abstract
Currently, most finite element analysis applications are relatively weak at modeling, resulting in finite element analyses of complex structural systems being trivial and troublesome. On the other hand, though computer-aided design (CAD) applications are powerful at modeling, models built in CAD applications are usually not applicable for finite element analysis. To this end, this research proposes a CAD system embed finite element modeling method that takes advantage of the interactive environment and useful modeling functions provided by CAD applications. To demonstrate the validity and practicality of the proposed method, this research further developed a Rhinoceros plugin for finite element modeling named DirectMesh and applied it to the finite element analysis of Wuhan Station. The result shows that the proposed method can not only create valid finite element models but also considerably increase the usability and efficiency of finite element modeling, benefiting the intelligent level of mechanical analysis-related jobs in mechanical engineering, civil engineering, and geo-engineering.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Chenglong Li AU - Xuyong Chen AU - Zhifeng Xu PY - 2025 DA - 2025/05/19 TI - A CAD System Embed Finite Element Modeling Method BT - Proceedings of the 3rd International Conference on Green Building, Civil Engineering and Smart City (GBCESC 2024) PB - Atlantis Press SP - 117 EP - 125 SN - 2352-5401 UR - https://doi.org/10.2991/978-94-6463-728-1_14 DO - 10.2991/978-94-6463-728-1_14 ID - Li2025 ER -