Data analytics for simulation repositories in industry
| dc.contributor.author | Teran, Rodrigo Iza | |
| dc.contributor.author | Garcke, Jochen | |
| dc.contributor.editor | Plödereder, E. | |
| dc.contributor.editor | Grunske, L. | |
| dc.contributor.editor | Schneider, E. | |
| dc.contributor.editor | Ull, D. | |
| dc.date.accessioned | 2017-07-26T10:59:26Z | |
| dc.date.available | 2017-07-26T10:59:26Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | Simulations are used intensively in the developing process of new industrial products and have achieved a high degree of detail. In that workflow often thousand finite element model variants, representing different product configurations, are simulated within a few days or even overnight. Currently the decision process for finding the optimal product parameters involves the comparative evaluation of large finite element simulation bundles by post-processing each one of those results using 3D visualisation software. This time consuming process creates a severe bottleneck in the product design and evaluation workflow. To handle these data we investigate an analysis approach based on nonlinear dimensionality reduction to find a low dimensional parameterisation of the dataset. In such a reduced representation, similar model variants are organised in clusters and the influence of the input variables can be analysed along such a parameterisation. We demonstrate the application of this approach to a realistic and relevant industrial example for robustness analysis of the bumper location in a frontal crash simulation. The approach has the potential to considerably speed up the virtual product development process by allowing an intuitive and interactive simultaneous evaluation of many product designs. | en |
| dc.identifier.isbn | 978-3-88579-626-8 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Informatik 2014 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-232 | |
| dc.title | Data analytics for simulation repositories in industry | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 167 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 161 | |
| gi.conference.date | 22.-26. September 2014 | |
| gi.conference.location | Stuttgart |