As railway networks rapidly expand and high-speed trains operate at greater velocities, tunnel temperature profiles are increasingly affected by train-induced winds. Based on the tunnel characteristic temperature (TC) and external temperature of the tunnel (TE), four basic tunnel internal-external temperature modes are determined: T-NN(TC and TE are both negative), T-PP(TC and TE are both positive), T-NP(TC is negative, TE is positive) and T-PN(TC is positive, TE is negative), and further subdivided into T-NN1(TC and TE are both negative, TC>TE), T-NN2(TC and TE are both negative, TC<TE), T-PP1(TC and TE are both positive, TC>TE), T-PP2(TC and TE are both positive, TC<TE), T-NP and T-PN. Then numerical analyses based on FLUENT are conducted to analyze the effects of train-induced winds on tunnel air temperature distribution across different temperature modes. Finally, the effect of train speeds and blocking rates on tunnel internal air temperature distribution is systematically analyzed. The results show that, according to measured data, temperature modes are ranked as T-NN1 (87.01 %) > T-NN2 (7.28 %) > T-PN (4.47 %) > T-PP1 (0.64 %) > T-PP2 (0.51 %) > T-NP (0.09 %) in terms of the probability of occurrence. Furthermore, Train-induced winds produce a double thermal effect. In T-NP, T-PP2 and T-NN2 modes, the train-induced wind increases the air temperature of the entrance section and improves tunnel's cold resistance, but it weakens cold resistance in T-PN, T-NN1, and T-PP1 modes. Therefore, when selecting locations for tunnel openings in high-speed railroads, it is recommended to prioritize areas with high solar radiation intensity in order to increase the percentage of T-PP2, T-NP and T-NN2 modes. Moreover, in T-NN and T-PN modes, increased train speeds and higher blocking ratios proportionally extend sub-zero temperature zones, complicating frost prevention. Conversely, T-PP and T-NP modes demonstrate an inverse relationship, which is not conducive to frost protection.
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