TY - JOUR
T1 - Nonlinear influences of track dynamic irregularities on vertical levelling loss of heavy-haul railway track geometry under cyclic loadings
AU - Melo, Andre
AU - Kaewunruen, Sakdirat
AU - Li, Ting
AU - Goto, Keiichi
N1 - Not yet published as of 23/04/2024.
PY - 2024/4/15
Y1 - 2024/4/15
N2 - With an emphasis on the combined degradation of railway track geometry and components, a new numerical-analytical method is proposed for predicting the track geometrical vertical levelling loss (VLL). In contrast to previous studies, this research unprecedentedly considers the influence of initial track irregularities (ITI) on VLL under cyclic loadings, elastic-plastic behaviour, and different operational dynamic conditions. The nonlinear numerical models are simulated using an explicit finite element (FE) package known as LS-Dyna, and their results are validated by experimental data. The outcomes are iteratively regressed by an analytical logarithmic function that cumulates permanent settlements, which innovatively extends the effect of ITI on VLL in a long-term behaviour. For a typical heavy-haul railway operating under 30-tons axle load and 60-km/h train velocity, the result indicates that the set of ITI with the highest standard deviation (SD) of vertical profile degrades faster (37% on average) than that one with the lowest SD. Additionally, new findings reveal that the worst scenario is related to a train running at 60 km/h and carrying a load of 20 tons/axle in an uneven track whose standard deviation (SD) of vertical profile (VP) evolves from 3.23 mm at N = 0 (ITI) to 7.20 mm, whereas the best one corresponds to a train at 60 km/h and 30-ton axle load in an uneven track whose SD of VP downgrades from 0.48 mm to 1.50 mm, both at 3M cycles (or 60 MGT). These finds indicate the importance of considering the ITI for predicting track geometrical VLL under cyclic loadings. Therefore, based on this research, an acceptable condition (thresholds) of ITI can be defined for a minimum effect on VLL, which can support the development of practical maintenance guidelines to extend the railway track service life.
AB - With an emphasis on the combined degradation of railway track geometry and components, a new numerical-analytical method is proposed for predicting the track geometrical vertical levelling loss (VLL). In contrast to previous studies, this research unprecedentedly considers the influence of initial track irregularities (ITI) on VLL under cyclic loadings, elastic-plastic behaviour, and different operational dynamic conditions. The nonlinear numerical models are simulated using an explicit finite element (FE) package known as LS-Dyna, and their results are validated by experimental data. The outcomes are iteratively regressed by an analytical logarithmic function that cumulates permanent settlements, which innovatively extends the effect of ITI on VLL in a long-term behaviour. For a typical heavy-haul railway operating under 30-tons axle load and 60-km/h train velocity, the result indicates that the set of ITI with the highest standard deviation (SD) of vertical profile degrades faster (37% on average) than that one with the lowest SD. Additionally, new findings reveal that the worst scenario is related to a train running at 60 km/h and carrying a load of 20 tons/axle in an uneven track whose standard deviation (SD) of vertical profile (VP) evolves from 3.23 mm at N = 0 (ITI) to 7.20 mm, whereas the best one corresponds to a train at 60 km/h and 30-ton axle load in an uneven track whose SD of VP downgrades from 0.48 mm to 1.50 mm, both at 3M cycles (or 60 MGT). These finds indicate the importance of considering the ITI for predicting track geometrical VLL under cyclic loadings. Therefore, based on this research, an acceptable condition (thresholds) of ITI can be defined for a minimum effect on VLL, which can support the development of practical maintenance guidelines to extend the railway track service life.
UR - https://degruyter.com/journal/key/nleng/html
M3 - Article
SN - 2192-8029
JO - Nonlinear Engineering
JF - Nonlinear Engineering
ER -