摘要
轮轨噪声和结构噪声给高架轨道交通沿线带来了噪声污染。由于轮轨及箱梁各部件之间的振动噪声相互影响较大,需要利用偏相干方法进行噪声识别。将偏相干分析应用于Matlab软件编程中,实现了对多个噪声信号独立贡献量的计算分析,得出了各噪声源对梁侧敏感点的贡献量及其随距离和高度的分布规律,从而为采取有效的减振降噪措施提供了参考依据。
Wheel/rail noise and structure-borne noise will cause environment pollution along rail transit lines.Partial coherence analysis method is used to identify noise sources due to the significant interaction of vibration noise between each component of wheel,rail and box girder.The corresponding Matlab code is programming for partial coherence analysis to calculate and analyze the independent contributions among multiple noise signals.The contributions from each noise source to sensitive point aside by bridge and the distribution varied with distance and height are obtained,which can provide reference for measures regarding vibration and noise reduction on rail transit bridges.
作者
雷震宇
冯立力
李莉
罗雁云
LEI Zhenyu;FENG Lili;LI Li;LUO Yanyun(Institute of Railway and Urban Transit,Tongli University,201804,Shanghai,China)
出处
《城市轨道交通研究》
北大核心
2018年第4期8-13,共6页
Urban Mass Transit
基金
国家自然科学基金青年基金项目(51408434)
国家自然科学基金项目(11772230)
关键词
简支箱梁
噪声源识别
轮轨噪声
结构噪声
相干分析
贡献量
simply-supported box girder
noise source identification
wheel/rail noise
structure-borne noise
coherence analysis
contribution value