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Model experiments on area optimization of multiple openings of tunnel hoods to reduce micro-pressure waves

机译:隧道罩多个开口区域优化模型实验,减少微压波

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Optimization of tunnel hood openings is one of the most important technologies that has been developed to effectively reduce micro-pressure waves (MPWs) on high-speed railway lines. Two types of optimization techniques exist: "pattern optimization," where the location of open windows is optimized, and "area optimization," where the area distribution of windows is optimized. This paper presents an evaluation of the zeroth-order area optimization of multiple openings uniformly spaced of tunnel hoods for reducing MPWs. In the zeroth-order area distribution, all openings are assumed to have the same area. Model experiments were conducted using a train launcher facility, and the performances of the two types of optimizations were compared. The objective function to be minimized was the maximum value of the pressure gradient of a tunnel compression wave (dp/dt)max. The objective function was shown to be unimodal and can be easily optimized because the peak values of the pressure gradient either linearly increase or decrease with the area of the openings, specifically for typical Japanese hoods. This linear relationship between the peak values and area was demonstrated via theoretical and experimental analysis. The minimized values of (dp/dt)max for area optimization were almost the same as those for pattern optimization. The advantage of area optimization is that the optimization procedure ensures automated convergence within a small number of iterations based on the linear relationship.
机译:隧道罩开口的优化是已经开发的最重要的技术之一,以有效地减少高速铁路线上的微压波(MPW)。存在两种类型的优化技术:“模式优化”,其中打开窗口的位置优化,并“区域优化”,优化了Windows的区域分布。本文提出了对隧道罩均匀间隔开的隧道罩的零顺序区域优化的评估,以减少MPW。在零阶面积分布中,假设所有开口都具有相同的区域。使用火车发射器设施进行模型实验,比较了两种类型的优化的性能。要最小化的目标函数是隧道压缩波(DP / DT)Max的压力梯度的最大值。目标函数被证明是单峰的,并且可以容易地优化,因为压力梯度的峰值与开口区域线性增加或减少,专门用于典型的日本罩。通过理论和实验分析证明了峰值值和区域之间的这种线性关系。区域优化的最小值(DP / DT)MAX的最小值几乎与模式优化的最小值相同。区域优化的优点是优化过程根据线性关系确保在少量迭代内的自动收敛。

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