| There are many small radius curves in heavy-haul railways due to the influence of topography and other control factors.The problem of rail side wear at the small radius curve is serious,which greatly increases the maintenance and operation costs.In view of this problem,relevant scholars have put forward many strategies to slow down the rail side wear.However,at present,all the proposed wear reduction strategies aim at the wear reduction effect,ignoring the uncertain factors in the construction process and not analyzing the overall performance of the wear reduction strategies from multiple angles.Therefore,it is necessary to study the comprehensive evaluation of rail wear reduction strategy.This thesis aimed to judge the advantages and disadvantages of anti-wear strategies under different radii,and analyze the advantages and disadvantages of single-dimensional and multi-dimensional anti-wear strategies from the perspectives of anti-wear effect,driving safety,economic benefits,construction difficulty and ecological environment,so as to provide references for the selection of anti-wear strategies and ensure that anti-wear strategies achieve the best results under different angles or multi-dimensional conditions.The main research work is as follows:Firstly,three kinds of wear reduction strategies are determined.Summarize the indicators and present situation of evaluating rail wear reduction strategy at this stage,and determine five criteria layers: wear reduction effect,driving safety,economic benefit,construction difficulty and ecological environment.On this basis,through literature analysis and related project identification,the evaluation indexes under five criteria layers are selected,and finally a complete evaluation index system of wear reduction strategy is obtained.Based on the analysis of UM simulation experiment and the present situation of a heavy-haul railway,three wear reduction strategies are designed.A rail service life prediction model is established to predict the service life of the rail after the intervention of three anti-wear strategies,and the objective index data of rail wear reduction effect,driving safety and economic benefit are obtained.Collect the opinions of experts in the industry on the scoring of construction difficulty and ecological environment standard layer,and get subjective index data.The evaluation model of the grey relational wear reduction strategy based on the TOPSIS method is established,and the indexes are combined and weighted by AHP and entropy method.Taking the curve of a 600 m radius of a heavy-haul railway as an example,the comprehensive evaluation and analysis are carried out.The results show that the traffic safety indexes of the three strategies have not changed much,but there is a big gap in friction reduction effect,economic benefit,implementation complexity and ecological environment.On the whole,the overall effect of track parameter optimization is the best.Finally,under the condition of the same curve length,three anti-wear strategies of a heavy-haul line with radii of 400 m,450m,500 m,600m,700 m and 800 m are comprehensively evaluated under multi-criteria layers,and the anti-wear strategies suitable for the line in different radius intervals are obtained.The reliability of the evaluation results is analyzed,and the evaluation method can be applied to the decision-making of wear reduction strategy for other heavy-haul lines. |
