| dc.contributor.author | Lehner, Petr | |
| dc.contributor.author | Krejsa, Martin | |
| dc.contributor.author | Pařenica, Přemysl | |
| dc.contributor.author | Křivý, Vít | |
| dc.contributor.author | Brožovský, Jiří | |
| dc.date.accessioned | 2019-10-04T06:51:00Z | |
| dc.date.available | 2019-10-04T06:51:00Z | |
| dc.date.issued | 2019 | |
| dc.identifier.citation | International Journal of Fatigue. 2019, vol. 128, art. no. 105190. | cs |
| dc.identifier.issn | 0142-1123 | |
| dc.identifier.issn | 1879-3452 | |
| dc.identifier.uri | http://hdl.handle.net/10084/138804 | |
| dc.description.abstract | A method is proposed to evaluate the residual life of existing steel structures in terms of fatigue damage. The proposed method is demonstrated on the assessment of selected elements in a nearly 100-year old exterior riveted crane support truss. The Monte Carlo method is used to generate a time-dependent load based on the operation of the overhead crane, and detailed numerical modelling based on rainflow counting and the Palmgren-Miner rule to assess their fatigue resistance and estimate their residual life is evaluated and discussed. This study provides a novel approach to the reliability assessment of riveted joints stressed by cyclic loading and stochastic modelling of the load history of existing structures. | cs |
| dc.language.iso | en | cs |
| dc.publisher | Elsevier | cs |
| dc.relation.ispartofseries | International Journal of Fatigue | cs |
| dc.relation.uri | http://doi.org/10.1016/j.ijfatigue.2019.105190 | cs |
| dc.rights | © 2019 Elsevier Ltd. All rights reserved. | cs |
| dc.subject | fatigue modelling | cs |
| dc.subject | riveted joints | cs |
| dc.subject | overhead crane | cs |
| dc.subject | rainflow | cs |
| dc.subject | Monte Carlo method | cs |
| dc.title | Fatigue damage analysis of a riveted steel overhead crane support truss | cs |
| dc.type | article | cs |
| dc.identifier.doi | 10.1016/j.ijfatigue.2019.105190 | |
| dc.type.status | Peer-reviewed | cs |
| dc.description.source | Web of Science | cs |
| dc.description.volume | 128 | cs |
| dc.description.firstpage | art. no. 105190 | cs |
| dc.identifier.wos | 000484647400032 | |