A multi-objective optimisation method of rail combination profile in high-speed turnout switch panel

References

• Magel EE, Kalousek J. The application of contact mechanics to rail profile design and rail grinding. Wear. 2002;253(1-2):308–316. :1022.
   Web of Science ®Google Scholar
• Cui DB, Li L, Jin X, et al. Study on rail goal profile by grinding. Eng Mech. 2011;28(4):178–184.
   Google Scholar
• Guo ZW. Study of rail grinding based on wheel rail creep minimization. China Railway Sci. 2011;32(6):9–15.
   Google Scholar
• Mao X, Shen G. A design method for rail profiles based on the geometric characteristics of wheel-rail contact. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 2018;232(5):1255–1265.
   Web of Science ®Google Scholar
• Xu K, Feng Z, Wu H, et al. Optimal profile design for rail grinding based on wheel–rail contact, stability, and wear development in high-speed electric multiple units. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 2020;234(6):666–677.
   Web of Science ®Google Scholar
• Shi J, Gao Y, Long X, et al. Optimizing rail profiles to improve metro vehicle-rail dynamic performance considering worn wheel profiles and curved tracks. Struct Multidiscipl Optim. 2021;63(1):419–438.
   Web of Science ®Google Scholar
• Wang P, Ma XC, Wang J, et al. Optimization of rail profiles to improve vehicle running stability in switch panel of high-speed railway turnouts. Math Probl Eng. 2017;2017.
   PubMed Web of Science ®Google Scholar
• Persson I, Nilsson R, Bik U, et al. Use of a genetic algorithm to improve the rail profile on Stockholm underground. Veh Syst Dyn. 2010;48:89–104.
   Web of Science ®Google Scholar
• Choi H, Lee D, Song C, et al. Optimization of rail profile to reduce wear on curved track. Int J Prec Eng Manuf. 2013;14:619–625.
   Web of Science ®Google Scholar
• Wang JX, Chen S, Li X, et al. Optimal rail profile design for a curved segment of a heavy haul railway using a response surface approach. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit. 2016;230(6):1496–1508.
   Web of Science ®Google Scholar
• Pålsson BA. Design optimisation of switch rails in railway turnouts. Veh Syst Dyn. 2013;51(10):1619–1639.
   Web of Science ®Google Scholar
• ISO 10303-42:2003. Industrial automation systems and integration – Product data representation and exchange – Part 42: Integrated generic resource: Geometric and topological representation.
   Google Scholar
• Piegl L, Tiller W. The NURBS book. Berlin Heidelberg: Springer-Verlag, First Edition:1995, Second Edition; 1997.
   Google Scholar
• De Boor C. A practical guide to splines. New York-Berlin: Springer-Verlag; 1978.
   Google Scholar
• Ren ZS. Fundamentals of vehicle dynamics. Beijing: China Railway Publishing House; 2009 [inChinese].
   Google Scholar
• Cao Y, Kassa E, Zhao WH. Evaluation of alternative turnout layout designs for an improved dynamic performance of a vehicle turnout system. Veh Syst Dyn. 2021.10.1080/00423114.2020.1871494.
   Web of Science ®Google Scholar
• Ayasse JB, Chollet H. Determination of the wheel rail contact patch in semiHertzian conditions. Veh Syst Dyn. 2005;43(3):161–172.
   Web of Science ®Google Scholar
• Quost X, Sebes M, Eddhahak A, et al. Assessment of a semi-Hertzian method for determination of wheelrail contact patch. Veh Syst Dyn. 2006;44:789–814.
   Web of Science ®Google Scholar
• Braghin F, Bruni S, Resta F. Wear of railway wheel profiles: a comparison between experimental results and a mathematical model [J]. Veh Syst Dyn. 2003;37(Supplement):478–489.
   Google Scholar
• Ekberg A, Kabo E, Andersson H. An engineering model for prediction of rolling contact fatigue of railway wheels. Fatigue & Fracture of Engineering Materials & Structures. 2002;25(10):899–909.
   Web of Science ®Google Scholar
• Johnson KL. The strength of surfaces in rolling contact. Proceedings of the Institution of Mechanical Engineers, Part C: Mechanical Engineering Science. 1989;203:151–163.
   Web of Science ®Google Scholar
• Burstow MC. (2004). Whole life rail model application and development for RSSB-continued development of an RCF damage parameter. Rail standards and safety board, London.
   Google Scholar
• Ekberg A, Akesson B, Kabo E. Wheel/rail rolling contact fatigue – probe, predict, prevent. Wear. 2014;314(1-2):2–12.
   Web of Science ®Google Scholar
• Nielsen J, Palsson B, Torstensson P. Switch panel design based on simulation of accumulated rail damage in a railway turnout. Wear. 2016;366-367(SI):241–248.
   Web of Science ®Google Scholar
• Deb K, Pratap A, Agarwal S, et al. A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput. 2002;6(2):182–197.
   Web of Science ®Google Scholar