Title data
Glamsch, Johannes ; Deese, Kevin ; Rieg, Frank:
Methods for Increased Efficiency of FEM-Based Topology Optimization.
In: International Journal of Simulation Modelling.
Vol. 18
(2019)
Issue 3
.
- pp. 453-463.
ISSN 1726-4529
DOI: https://doi.org/10.2507/IJSIMM18(3)482
Abstract in another language
Lightweight construction is playing an increasingly important role for a wide variety of reasons, such as improving energy efficiency. In addition to lightweight material construction, lightweight structure construction is gaining more and more influence, which is made possible due to topology optimization. The aim of topology optimization is to develop an optimal design proposal based on a construction space model and given boundary conditions (e.g. mechanical or thermal). The calculation of the structural response is often done using the time consuming finite element method (FEM). Since topology optimization is an iterative process, usually many finite element analyses (FEA) have to be performed, which results in high computing time. Therefore, this article presents different methods to minimize computing time by exploiting various special features that occur with FEA in the context of optimizations.
Further data
Item Type: | Article in a journal |
---|---|
Refereed: | Yes |
Keywords: | Structural Optimization; Topology Optimization; Computational Effort; Finite Element Method |
Institutions of the University: | Faculties > Faculty of Engineering Science > Former Professors > Chair Engineering Design and CAD - Univ.-Prof. Dr.-Ing. Frank Rieg Faculties Faculties > Faculty of Engineering Science Faculties > Faculty of Engineering Science > Chair Engineering Design and CAD Faculties > Faculty of Engineering Science > Former Professors |
Result of work at the UBT: | Yes |
DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 600 Technology, medicine, applied sciences > 620 Engineering |
Date Deposited: | 23 Sep 2019 08:21 |
Last Modified: | 23 Sep 2019 08:21 |
URI: | https://eref.uni-bayreuth.de/id/eprint/52348 |