Simplified Damage Assessment Tool for Rails and Crossings Based on Standard Wear and RCF Models
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in: Metals, Jahrgang 12.2022, Nr. 12, 2169, 16.12.2022.
Publikationen: Beitrag in Fachzeitschrift › Artikel › Forschung › (peer-reviewed)
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TY - JOUR
T1 - Simplified Damage Assessment Tool for Rails and Crossings Based on Standard Wear and RCF Models
AU - Schnalzger, Georg
AU - Daves, Werner
AU - Maierhofer, Jürgen
AU - Ossberger, Uwe
AU - Ossberger, Heinz
AU - Bucher, Christian
AU - Pletz, Martin
N1 - Publisher Copyright: © 2022 by the authors.
PY - 2022/12/16
Y1 - 2022/12/16
N2 - A numerical tool is proposed to simultaneously assess various damage mechanisms that are driven by contact loading. The tool transfers loads to the contact-patch level using three contact parameters: the maximum contact pressure (pmax), the creepage (c) and the contact length (2a). The local wear and RCF predictions are implemented based on existing models from the literature. The load input can originate from numerical vehicle–track simulations or manual input of the user. The assessment tool is applied for a finite element analysis of a fixed manganese crossing nose to prove its validity. The algorithm is implemented via an automated Python code, which, on the one hand enables damage prediction for track components based on standard damage models. On the other hand, knowledge of novel local contact damage models can be transferred to the scale of track components.
AB - A numerical tool is proposed to simultaneously assess various damage mechanisms that are driven by contact loading. The tool transfers loads to the contact-patch level using three contact parameters: the maximum contact pressure (pmax), the creepage (c) and the contact length (2a). The local wear and RCF predictions are implemented based on existing models from the literature. The load input can originate from numerical vehicle–track simulations or manual input of the user. The assessment tool is applied for a finite element analysis of a fixed manganese crossing nose to prove its validity. The algorithm is implemented via an automated Python code, which, on the one hand enables damage prediction for track components based on standard damage models. On the other hand, knowledge of novel local contact damage models can be transferred to the scale of track components.
UR - http://www.scopus.com/inward/record.url?scp=85144905703&partnerID=8YFLogxK
U2 - 10.3390/met12122169
DO - 10.3390/met12122169
M3 - Article
VL - 12.2022
JO - Metals
JF - Metals
SN - 2075-4701
IS - 12
M1 - 2169
ER -
