微気圧波軽減のための理論的列車先頭形状設計法

概要

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In this work, we developed a theoretical algorithm to design a train shape for alleviating the booming noise caused by a train moving into a tunnel. In past studies, the authors clarified that the strength of the booming noise is proportional to υ_<wall> which is defined as a lateral velocity component at the height of a tunnel wall in a steady flow field around a train. υ_<wall> is theoretically obtained as a function of a train shape with the small perturbation theory. With these relations, a train shape is theoretically designed so as to minimize υ_<wall>. This algorithm is applied to an axisymmetric flow under practical high speed conditions. The optimized train shape is obtained in a very short CPU time and the strength of the booming noise is reduced by about 20%. The efficiency of the optimized shape is verified by an unsteady numerical simulation of the flow field of the train moving into the tunnel. The results indicate that this algorithm can be an efficient method for designing a train shape that alleviate the booming noise.
一般社団法人日本機械学会の論文
1996-07-25