On the fatigue performance and residual life of intercity railway axles with inside axle boxes

Wu, Shengchuan; Liu, Y.X.; Li, C.H.; Kang, Guozheng; Liang, Shulin

doi:10.1016/j.engfracmech.2018.04.046

Cited by 61 publications

(27 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a safety critical structure of railway vehicles, the bogie frames with stabilizing devices are responsible for the smooth running and operation of the vehicles . Furthermore, the combined effects of vibration and cyclic loadings greatly limit the service performance . Even so, the 25‐year life or more of bogie frames in operation must be ensured .…”

Section: Introductionmentioning

confidence: 99%

“…[12][13][14][15] With the increased popularity of China high-speed railway in the past few years, the operating conditions of railway vehicles have become more stringent. [16][17][18][19] As a safety critical structure of railway vehicles, the bogie frames with stabilizing devices are responsible for the smooth running and operation of the vehicles. 20-22 Furthermore, the combined effects of vibration and cyclic loadings greatly limit the service performance.…”

mentioning

confidence: 99%

“…20-22 Furthermore, the combined effects of vibration and cyclic loadings greatly limit the service performance. 16,17,23 Even so, the 25-year life or more of bogie frames in operation must be ensured. [24][25][26][27] As a classical joining technology, metal active gas (MAG) arc welding can efficiently manufacture the modern railway components.…”

mentioning

confidence: 99%

See 2 more Smart Citations

The microstructure, mechanical, and fatigue behaviours of MAG welded G20Mn5 cast steel

Qin

Branco

et al. 2020

Fatigue Fract Eng Mat Struct

Self Cite

View full text Add to dashboard Cite

The microstructure, mechanical strength, and fatigue response of metal active gas (MAG) butt‐welded G20Mn5 cast steel was thoroughly investigated for exploring the service safety and reliability of new‐generation railway bogie frames. The fatigue properties of the matrix and welded joints were determined by both low‐ and high‐cycle service regimes. On the basis of nanoindentation testing, the fatigue crack growth (FCG) was derived by correlating with cyclic plastic response of microdomain materials across the MAG joint. The results show that the MAG induces considerable changes in microstructures and hardness of the G20Mn5 matrix and resultantly produces an overmatching welded joint but show comparatively low‐ and high‐cycle fatigue properties to as‐received material. The calculated threshold FCG range based on the Murakami model indicates that the maximum 1.5‐mm defect might be the cracking site subjected to fatigue loading from the structural integrity viewpoint.

show abstract

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

The microstructure, mechanical, and fatigue behaviours of MAG welded G20Mn5 cast steel

Qin

Branco

et al. 2020

Fatigue Fract Eng Mat Struct

Self Cite

View full text Add to dashboard Cite

show abstract

“…Fatigue life prediction of these components has become a critical issue for ensuring their operational reliability and structural integrity, especially under complex loadings . In general, fatigue damage accumulates with increasing number of applied loading cycles, which causes the decrease of residual life of these components . For a specimen under variable amplitude loading, it is more complex to model the cumulative fatigue damage than for constant amplitude loading.…”

Section: Introductionmentioning

confidence: 99%

“…[4][5][6] In general, fatigue damage accumulates with increasing number of applied loading cycles, which causes the decrease of residual life of these components. 7 For a specimen under variable amplitude loading, it is more complex to model the cumulative fatigue damage than for constant amplitude loading. It is worth noting that cumulative fatigue damage analysis plays a critical role during fatigue life prediction of mechanical parts/structures, and an accurate method for fatigue damage accumulation modelling is still lacking but required.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear fatigue damage accumulation and life prediction of metals: A comparative study

Zhu

Hao

Correia

et al. 2018

Fatigue Fract Eng Mat Struct

View full text Add to dashboard Cite

Fatigue damage modelling and life prediction of engineering components under variable amplitude loadings are critical for ensuring their operational reliability and structural integrity. In this paper, five typical nonlinear fatigue damage accumulation models are evaluated and compared by considering the influence of load sequence and interaction on fatigue life of P355NL1 steels. Moreover, a new nonlinear fatigue damage accumulation model is proposed to account for these two effects. Experimental datasets of pressure vessel steel P355NL1 and four other materials under two‐block loadings are used for model comparative study. Results indicate that the proposed model yields more accurate fatigue life predictions for the five materials than the other models.

show abstract

A data‐driven maintenance policy for railway wheelset based on survival analysis and Markov decision process

Costa

Braga

Andrade

2020

Quality & Reliability Eng

View full text Add to dashboard Cite

Wheelsets absorb a significant part of the maintenance budget of any train operating company. Although wheel wear has been an extensively discussed topic in the literature, wear rates are very rarely characterized by using degradation data in a real‐world case study aimed at identifying optimal maintenance policies including both degradation and recovery modeling. Furthermore, wheel defects, which impose an additional challenge to the modeling of the lifecycle of the wheels, are usually considered separately in the literature. In this study, conducted at a Portuguese train operating company, 17 years of inspection data are used to estimate wheel wear rates and survival curves, which are further incorporated into a Markov decision process (MDP) model. A bidimensional framework considering discrete intervals of wheel diameter along with a quantitative variable (kilometers since last turning/renewal) is used to represent the possible wheel states, while the probability of a defect interfering with the wheel maintenance schedule is modeled by contemplating survival curves derived from a Cox proportional‐hazards model. Optimal results in terms of minimal cost policy are discussed in the context of the MDP, but a more realistic and easy‐to‐implement policy fixing one of the parameters is compared with the optimal policy. Results showed that in practice train operating companies might benefit from using the easy‐to‐implement policy, which has an associated long‐run average cost only about 1% higher than the one suggested by the optimal decision map.

show abstract

On the fatigue performance and residual life of intercity railway axles with inside axle boxes

Cited by 61 publications

References 34 publications

The microstructure, mechanical, and fatigue behaviours of MAG welded G20Mn5 cast steel

The microstructure, mechanical, and fatigue behaviours of MAG welded G20Mn5 cast steel

Nonlinear fatigue damage accumulation and life prediction of metals: A comparative study

A data‐driven maintenance policy for railway wheelset based on survival analysis and Markov decision process

Contact Info

Product

Resources

About