Software Supporting Parameter Optimization of Finite Element Models

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-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 languageEnglish
Title of host publication2018 UKSim-AMSS 20th International Conference on Computer Modelling and Simulation (UKSim)
PublisherWiley-IEEE Press
Pages55-60
Number of pages6
ISBN (print)978-1-5386-5879-6
Publication statusPublished - 29 Mar 2018
Peer-reviewedYes

Conference

Title20th IEEE UKSim-AMSS International Conference on Modelling and Simulation
Abbreviated titleUKSim 2018
Conference number20
Duration27 - 29 March 2018
LocationEmmanuel College
CityCambridge
CountryUnited Kingdom

External IDs

Scopus 85061026717
ORCID /0000-0002-6824-3549/work/142236892

Keywords

Keywords

  • Optimization, Object recognition, Finite element analysis, Complexity theory, Art