- ISSN 0258-2724
- CN 51-1277/U
- EI Compendex
- Scopus
- Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
- Chinese S&T Journal Citation Reports
- Chinese Science Citation Database
| Citation: | WU Lei, KANG Yanbing, DONG Yong, ZHANG Huapeng. Optimal Design of Heavy-Haul Rail Grinding Profile Considering Grinding Amount[J]. Journal of Southwest Jiaotong University, 2022, 57(4): 805-812. doi: 10.3969/j.issn.0258-2724.20210120
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In order to minimize grinding amount in optimization design of heavy-haul rail grinding profile, an alignment and calculation method of the grinding amount of rail profile was established. Meanwhile, a comprehensive optimization evaluation model was designed. The model regarded wheel-rail wear index, wheel-rail contact stress and rail grinding amount as optimization sub-objectives, and the optimization results of different optimized strategies were analyzed. Firstly, an automatic alignment algorithm for rail profile was established through the theories of matrix rotation transformation, curve fitting and spline interpolation. Then the amount of rail grinding was calculated. Secondly, considering the optimization indicators such as wheel-rail wear index, contact stress and rail grinding amount, a comprehensive optimization objective function was established. The genetic algorithm was used to solve the optimized rail profile in conjunction with the vehicle track dynamics simulation model. Finally, the design results of different optimization strategies were calculated and analyzed by using the established rail profile optimization design model. The results show that, considering wheel-rail wear, wheel-rail contact stress and amount of rail grinding at the same time, the average wear index of the optimized high and low rail profile reduces by 68.9% when compared with the initial profile. The low rail contact stress obtains a decrease of 39.1%. The grinding amount gets a reduction of 21.8%. Thus the optimized effect is the best. After optimization, the high rail profile wear index and low rail contact stress decrease significantly in conditions of only considering wheel-rail wear and contact stress, but the decline rate of the grinding amount is relatively slow, reaching 11.3%. When only considering the grinding amount, the grinding amount of rail profile drops the fastest after optimization, which is 24.4%, while the wheel-rail contact stress is significantly larger.
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