关键词: 过站噪声, 高速列车, 站台噪声, 统计能量法

Abstract: This study establishes a structure-acoustic cavity coupling model using statistical energy analysis to predict the acoustic characteristics of a 13-platform railway hub. Numerical simulations investigate noise distribution patterns under three operational conditions: single-train passing, mid-platform train crossing, and 70% track occupancy parking at 200km/h. The results demonstrate that platforms 5 and 6 exhibit the highest noise exposure levels, reaching 90.51dB(A) and 91.98dB(A) respectively at 630Hz during single-train operations. Train crossing scenarios increase noise levels to 93.67dB(A) and 93.61dB(A) for platforms 5 and 6, exceeding current noise control standards. Acoustic treatment simulations reveal that applying broadband absorptive materials (α=0.8) to ceiling and floor surfaces achieves 6.2-8.5dB(A) noise reduction in critical areas. This modeling approach provides theoretical guidance for acoustic design optimization in high-speed railway hub platforms.

Key words: Pass-by noise, High-speed train, Platform noise, Statistical energy method