Software Supporting Parameter Optimization of Finite Element Models
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
Abstract
When very detailed simulation of geometrically complex objects is needed, finite element models are often the best choice due to their description of spatial and temporal behavior of the modelled object. The drawback of finite element models is their large number of parameters. This makes it difficult to match a model to a real measured object by process identification methods. In this paper this problem is addressed by new software that is compatible to ANSYS as the probably most known finite element software.
Details
Original language | English |
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Title of host publication | 2018 UKSim-AMSS 20th International Conference on Computer Modelling and Simulation (UKSim) |
Publisher | Wiley-IEEE Press |
Pages | 55-60 |
Number of pages | 6 |
ISBN (print) | 978-1-5386-5879-6 |
Publication status | Published - 29 Mar 2018 |
Peer-reviewed | Yes |
Conference
Title | 2018 UKSim-AMSS 20th International Conference on Computer Modelling and Simulation (UKSim) |
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Duration | 27 - 29 March 2018 |
Location | Cambridge, UK |
External IDs
Scopus | 85061026717 |
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ORCID | /0000-0002-6824-3549/work/142236892 |
Keywords
Keywords
- Optimization, Object recognition, Finite element analysis, Complexity theory, Art