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  • 1. Dai, Chunyang
    et al.
    Gao, Liang
    Ma, Chunsheng
    Xin, Tao
    Simulation study on subway bogie parameters influencing rail wear in curve2010In: 1st International Conference on Railway Engineering: High-speed Railway, Heavy Haul Railway and Urban Rail Transit., 2010, p. 333-337Conference paper (Refereed)
  • 2.
    Famurewa, Stephen Mayowa
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Xin, Tao
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Rantatalo, Matti
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Comparative study of track geometry quality prediction models2013In: 10th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2013, CM 2013 and MFPT 2013, 2013, Vol. 2, p. 1057-1068Conference paper (Refereed)
    Abstract [en]

    Track geometry quality is an important aspect in railway engineering as it reflects the actual condition of a track giving account of track geometry deviations. Monitoring and prediction of a relevant geometry quality parameter over time provides opportunity for effective maintenance with advantage of extending the life of the asset, reducing maintenance cost and minimizing possession time requirements. Two important aspects of good maintenance practice relating to track geometry quality are quality assessment of every measurement run for special and common cause of variations and also understanding the progression of the deterioration process. This gives engineering insight into temporal failure phenomena including the behaviour of track structure over time that can facilitate condition forecasting and consequent maintenance planning. This paper presents an approach for assessing track geometry data and also compares three track quality prediction models- linear, exponential and suggested GM(1,1) models. A series of inspection data from a selected line section of Trafikverket (Swedish transport administration) is used in the study. The contribution of this paper is the improvement of prediction accuracy of track geometry model, which is an essential consideration in failure prediction technique.

  • 3.
    Famurewa, Stephen Mayowa
    et al.
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Xin, Tao
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Rantatalo, Matti
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Kumar, Uday
    Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
    Optimisation of maintenance track possession time: A tamping case study2015In: Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, ISSN 0954-4097, E-ISSN 2041-3017, Vol. 229, no 1, p. 42726-Article in journal (Refereed)
    Abstract [en]

    Optimum allocation and efficient utilisation of track possession time are becoming important topics in railway infrastructure management due to increasing capacity demands. This development and other requirements of modern infrastructure management necessitate the improvement of planning and scheduling of large-scale maintenance activities such as tamping. It is therefore necessary to develop short-, medium- and long-term plans for performing tamping on a network or track section within a definite time horizon. To this end, two key aspects of infrastructure maintenance planning are considered in this paper, deterioration modelling and scheduling optimisation. An exponential deterioration function is applied to model the geometry quality of a series of 200 m segments of a 130 km line section, and an empirical model for recovery after tamping intervention is developed. These two models are subsequently used to generate a methodology to optimise a schedule for tamping intervention by minimising the total cost of intervention including the cost of track possession while geometry quality is ascertained to be within a desirable limit. The modelling considers two types of tamping interventions, preventive and corrective, with different intervention limits and tamping machines. The result of this paper suggests a tamping plan which will lead to optimum allocation of track possession time while maintaining the track geometry quality within specified limits.

  • 4. Gao, Liang
    et al.
    Tao, Kai
    Qu, Cun
    Xin, Tao
    Study on the spatial mechanical characteristics of welded turnout on the bridges for passenger dedicated lines2009In: China Railway Science, Vol. 30, no 1, p. 29-35Article in journal (Refereed)
  • 5. Gao, Liang
    et al.
    Xin, Tao
    Qu, Jianjun
    Hou, Bowen
    Optimization research on railway sleeper types of ballast track on bridge in high speed railway2009In: The International Conference of the High Speed Railway Engineering Design, Construction and Maintenance Technology, 2009Conference paper (Refereed)
  • 6. Liao, Li
    et al.
    Gao, Liang
    Xin, Tao
    Wei, Qingchao
    Dynamic characteristics of slab track on subgrade in track traffic system of linear induction motor2008In: Journal of Beijing Jiaotong University, Vol. 32, no 1, p. 44-48Article in journal (Refereed)
  • 7. Qiao, Shenlu
    et al.
    Gao, Liang
    Qu, Cun
    Xin, Tao
    Mechanical properties of continuous-slab-track welded turnout on bridge2010In: Southwest Jiaotong University. Journal, ISSN 1005-2429, Vol. 45, no 5, p. 669-675Article in journal (Refereed)
  • 8. Qu, Cun
    et al.
    Gao, Liang
    Xin, Tao
    Xu, Liang
    Dynamic response analysis of cable tunnel structure under vibratory load induced by high-speed train2011In: Journal of Vibration and Shock, Vol. 30, no 3, p. 264-268Article in journal (Refereed)
  • 9. Qu, Jianjun
    et al.
    Gao, Liang
    Tian, Xinyu
    Xin, Tao
    Study on the mid & long term prediction model of track geometry state based on the Grey time-varying parameters theory2010In: Journal of the China Railway Society, Vol. 32, no 2, p. 55-59Article in journal (Refereed)
  • 10. Qu, Jianjun
    et al.
    Gao, Liang
    Xin, Tao
    Zheng, Xiaoli
    Track irregularity development prediction method based on Grey-Markov chain model2010In: Journal of Beijing Jiaotong University, Vol. 34, no 4, p. 107-111Article in journal (Refereed)
  • 11. Qu, Jianjun
    et al.
    Gao, Liang
    Zhang, Xinkui
    Xin, Tao
    A prediction method for track quality based on GM(1,1) non-equal time interval correction model2009In: China Railway Science, Vol. 30, no 3, p. 5-8Article in journal (Refereed)
  • 12. Wang, Dongmei
    et al.
    Xin, Tao
    Gao, Liang
    Effect of track irregularities on dynamic characteristics of linear motor rail transit system2007In: Railway Standard Design, p. 36-38Article in journal (Refereed)
  • 13. Xin, Tao
    et al.
    Gao, Liang
    Reducing slab track vibration into bridge using elastic materials in high speed railway2011In: Journal of Sound and Vibration, ISSN 0022-460X, E-ISSN 1095-8568, Vol. 330, no 10, p. 2237-2248Article in journal (Refereed)
    Abstract [en]

    In this paper, the problem of vibration transmission from slab track structures into bridge is studied by theoretical analysis. A vehicle–track–bridge coupling system dynamics model is established based on a multibody dynamics theory and a finite element method. The system model consists of vehicle model, track–bridge model and wheel/rail interaction model. The vehicle model is established based on the multibody dynamics theory, and the tack–bridge model is established by the finite element method. The vehicle model and track–bridge model are coupled through wheel/rail interaction model, and the track irregularities are included. The system dynamic responses are calculated, and the effectiveness of elastic materials in vibration reducing is discussed. The results demonstrate that elastic materials like slab mat layer inserted between slab track and bridge can reduce vibration transmitted from track into the bridge. Some suggestions for the design and application of slab mat are provided in the end of the paper.

  • 14. Xin, Tao
    et al.
    Gao, Liang
    Hou, Bowen
    Vehicle-turnout-bridge dynamic modelling and validation2010In: 1st International Conference on Railway Engineering: High-speed Railway, Heavy Haul Railway and Urban Rail Transit, 2010, p. 373-378Conference paper (Refereed)
  • 15. Xin, Tao
    et al.
    Gao, Liang
    Qu, Jianjun
    Dynamic simulation study on track irregularity management wavelength of raising speed railway2010In: Journal of Beijing Jiaotong University, Vol. 34, no 6, p. 21-25Article in journal (Refereed)
  • 16. Xin, Tao
    et al.
    Gao, Liang
    Qu, Jianjun
    Research on vibration characteristics of floating slab track in rail transportation system2007In: 3rd International Symposium on Environment Vibrations:: Prediction, Monitoring, Mitigation and Evaluation, 2007, p. 538-543Conference paper (Refereed)
  • 17. Xin, Tao
    et al.
    Gao, Liang
    Xiao, Hong
    Qu, Cun
    Comparative study on dynamic characteristics of different sleeper types on bridge in high speed railway2012In: Journal of Tongji University, ISSN 0253-374X, Vol. 40, no 1, p. 68-72Article in journal (Refereed)
  • 18. Xin, Tao
    et al.
    Gao, Liang
    Zheng, Xiaoli
    Dynamic analysis model and verification for vehicle-ballast track-bridge system2011In: Journal of Beijing Jiaotong University, Vol. 35, no 3, p. 72-76Article in journal (Refereed)
  • 19. Zhao, Lei
    et al.
    Gao, Liang
    Cai, Xiaopei
    Xin, Tao
    The study on dynamic interactions between viaduct and jointless turnout in high speed railway2010In: 1st International Conference on Railway Engineering: High-speed Railway, Heavy Haul Railway and Urban Rail Transit, 2010, p. 361-366Conference paper (Refereed)
  • 20. Zheng, Xiaoli
    et al.
    Chen, Feng
    Xin, Tao
    Discussion on government role in risk control of public-private partnership for rail transit2009In: China Soft Science, p. 307-310Article in journal (Refereed)
  • 21. Zheng, Xiaoli
    et al.
    Chen, Feng
    Xin, Tao
    Study on the life-cycle cost and risk control in urban rail transit2009In: 11th annual meeting of China association for science and technology, 2009, p. 1150-1155Conference paper (Refereed)
  • 22. Zheng, Xiaoli
    et al.
    Chen, Feng
    Yang, Zhigang
    Xin, Tao
    Dynamic adaptability of urban rail transit network2009In: 5th Advanced Forum on Transportation of China, 2009, p. 187-191Conference paper (Refereed)
1 - 22 of 22
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