Full metadata record
DC FieldValueLanguage
dc.contributor.advisorMartinez Esnaola, J.M.(José Manuel)-
dc.contributor.advisorMelendez Lagunilla, J.(Juan)-
dc.creatorLu, C.(Chun)-
dc.date.accessioned2018-09-12T07:42:53Z-
dc.date.available2018-09-12T07:42:53Z-
dc.date.issued2018-
dc.date.submitted2018-09-13-
dc.identifier.citationLU, Chun. "Railway infrastructure fatigue damage prediction using a multiaxial fatique criterion" Martínez Esnaola, J. y Melendez Lagunilla, J. Tesis doctoral. Universidad de Navarra, 2018es_ES
dc.identifier.urihttps://hdl.handle.net/10171/53659-
dc.description.abstractThe research on fatigue damage mechanism of railway infrastructure metallic components, i.e., rail joint and switch panel, is performed in this work, with the help of three technical methods, multiaxial fatigue theory, explicit finite element model (FEM) and stochastic analysis. With regard to multiaxial fatigue theory, a method for predicting fatigue damage direction and a multiaxial fatigue criterion are proposed, the results indicate the proposed methods can provide a more accurate prediction of fatigue damage direction and fatigue life compared with other methods. With regard to explicit FEM, a wheelset passing through railway infrastructure components (a rail joint and a switch panel) are established, research shows that explicit FEM is suitable for studying the damage mechanism on rail joint and switch panel. Finally, a combination of the proposed multiaxial fatigue theory, established explicit FEM and stochastic analysis is carried out to study the damage mechanism of railway infrastructure. This work can provide theoretical foundation for the design and maintenance for railway infrastructure.es_ES
dc.language.isoenges_ES
dc.publisherServicio de Publicaciones. Universidad de Navarraes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectMultiaxial fatiguees_ES
dc.subjectStochastic fatigue damagees_ES
dc.subjectRail jointes_ES
dc.subjectSwitch bladees_ES
dc.subjectRailway infrastructurees_ES
dc.titleRailway infrastructure fatigue damage prediction using a multiaxial fatique criteriones_ES
dc.typeinfo:eu-repo/semantics/doctoralThesises_ES

Files in This Item:
Thumbnail
File
Chun Lu.pdf
Description
Size
14.27 MB
Format
Adobe PDF


Statistics and impact
0 citas en
0 citas en

Items in Dadun are protected by copyright, with all rights reserved, unless otherwise indicated.