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Engineering failure analysis, 2020-11, Vol.117, p.104799, Article 104799
2020
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Autor(en) / Beteiligte
Titel
Fatigue analysis of 75 kg/m-12 heavy-haul railway frog based on finite element simulation
Ist Teil von
  • Engineering failure analysis, 2020-11, Vol.117, p.104799, Article 104799
Ort / Verlag
Elsevier Ltd
Erscheinungsjahr
2020
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
  • •This work is conducted from the aspect of material and mechanics, and combined experiments with the finite element simulation of fatigue life prediction, accordingly the frog is mechanically structural optimized to improve its fatigue life.•A comprehensive approach is developed for studying heavy-haul railway frog at different sections by finite element simulation and structure optimization. A comprehensive approach is developed for studying fatigue properties of heavy-haul railway frog at different sections by finite element simulation and structure optimization. Combined with experimental research, the fatigue properties of heavy-haul railway frog is analyzed by three finite element simulation methods including stress fatigue life analysis, strain fatigue life analysis and crack propagation life analysis. Finite element simulation results show that the contact relationships of standard 75 kg/m-12 heavy frog are “two-point contacts” between the wheel and rails at sections of point rail top width of 10 mm and 20 mm, while are “one-point contact” at other sections. The maximum contact stress shows the biggest value in the 20 mm section and the smallest value in the 50 mm section. The fatigue life distribution of fatigue life analysis and the stress distribution of static mechanical analysis shows same regular pattern at same cross section. Our results indicate that optimization of the wing rail by cutting work side 5 mm and moving 5 mm to the point rail and elevating its top surface, can significantly reduce the maximum contact stress and prolong the fatigue life of heavy frog.
Sprache
Englisch
Identifikatoren
ISSN: 1350-6307
eISSN: 1873-1961
DOI: 10.1016/j.engfailanal.2020.104799
Titel-ID: cdi_crossref_primary_10_1016_j_engfailanal_2020_104799

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