dc.contributor.author | Tomčala, Jiří | |
dc.contributor.author | Papuga, Jan | |
dc.contributor.author | Horák, David | |
dc.contributor.author | Hapla, Václav | |
dc.contributor.author | Pecha, Marek | |
dc.contributor.author | Čermák, Martin | |
dc.date.accessioned | 2019-04-17T12:22:50Z | |
dc.date.available | 2019-04-17T12:22:50Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Advances in Engineering Software. 2019, vol. 129, p. 57-68. | cs |
dc.identifier.issn | 0965-9978 | |
dc.identifier.issn | 1873-5339 | |
dc.identifier.uri | http://hdl.handle.net/10084/134676 | |
dc.description.abstract | This paper describes various methods for increasing the computational speed of an existing fatigue solver called PragTic. The paper describes the basic workflow of computational fatigue analysis, including multiaxial fatigue analysis as well. It documents some of the inefficiencies of the original PragTic version, and parallelization and scalability testing of the parallelized PragTic in three different case studies. These studies include a simple model example (hundreds of nodes) and a real world example (millions of nodes). The implemented parallelization techniques are tested using numerical experiments to demonstrate their parallel scalability. As an output of a unique analysis, the number of necessary and feasible evaluated planes in multiaxial analyses is monitored, and the outcome favoring integral methods for the multiaxial fatigue analysis is commented. | cs |
dc.language.iso | en | cs |
dc.publisher | Elsevier | cs |
dc.relation.ispartofseries | Advances in Engineering Software | cs |
dc.relation.uri | https://doi.org/10.1016/j.advengsoft.2018.06.009 | cs |
dc.rights | © 2018 Elsevier Ltd. All rights reserved. | cs |
dc.subject | parallelization | cs |
dc.subject | PragTic | cs |
dc.subject | multiaxial fatigue analysis | cs |
dc.subject | integral methods | cs |
dc.subject | critical plane methods | cs |
dc.title | Steps to increase practical applicability of PragTic software | cs |
dc.type | article | cs |
dc.identifier.doi | 10.1016/j.advengsoft.2018.06.009 | |
dc.type.status | Peer-reviewed | cs |
dc.description.source | Web of Science | cs |
dc.description.volume | 129 | cs |
dc.description.lastpage | 68 | cs |
dc.description.firstpage | 57 | cs |
dc.identifier.wos | 000461248400005 | |