地铁列车运行引发车站临近地下空间楼层振动,对其理论完善有赖于现场实测及数据分析。本文以紧邻地铁车站的某大型地下空间为例,基于Imote2无线传感器网络平台,对地铁列车进站-停靠-出站阶段地下空间楼层振动效应进行了实测。分别获得...地铁列车运行引发车站临近地下空间楼层振动,对其理论完善有赖于现场实测及数据分析。本文以紧邻地铁车站的某大型地下空间为例,基于Imote2无线传感器网络平台,对地铁列车进站-停靠-出站阶段地下空间楼层振动效应进行了实测。分别获得了加速度时程谱与频谱,计算出楼层测区内的Z振级分布,并对三分之一倍频程各中心频率的分频振级分布特征进行了分析。结果表明:楼层钢筋混凝土楼板在弹性波传播方向上存在阻尼作用,但对于不同频率的弹性波,其阻尼耗散程度不同;弹性波在楼层内传播过程中,不仅存在振幅随传播距离增大而衰减的现象,还存在复杂的波动干涉行为,并导致振动效应放大区的出现;测区楼板被激发出的前两阶固有频率分别为1.60 Hz与3.15 Hz,二者的分频振级均小于60 d B,对人体健康造成的潜在不利影响较小;为降低楼层振动效应对建筑体及附属设施的不利影响,可考虑采取进站提前减速、出站推迟加速的方法,亦可考虑在局部地铁道床采取减、隔振等措施,集中耗散高频振动能量。展开更多
Constrained spectral non-negative matrix factorization(NMF)analysis of perturbed oscillatory process control loop variable data is performed for the isolation of multiple plant-wide oscillatory sources.The technique i...Constrained spectral non-negative matrix factorization(NMF)analysis of perturbed oscillatory process control loop variable data is performed for the isolation of multiple plant-wide oscillatory sources.The technique is described and demonstrated by analyzing data from both simulated and real plant data of a chemical process plant. Results show that the proposed approach can map multiple oscillatory sources onto the most appropriate control loops,and has superior performance in terms of reconstruction accuracy and intuitive understanding compared with spectral independent component analysis(ICA).展开更多
文摘地铁列车运行引发车站临近地下空间楼层振动,对其理论完善有赖于现场实测及数据分析。本文以紧邻地铁车站的某大型地下空间为例,基于Imote2无线传感器网络平台,对地铁列车进站-停靠-出站阶段地下空间楼层振动效应进行了实测。分别获得了加速度时程谱与频谱,计算出楼层测区内的Z振级分布,并对三分之一倍频程各中心频率的分频振级分布特征进行了分析。结果表明:楼层钢筋混凝土楼板在弹性波传播方向上存在阻尼作用,但对于不同频率的弹性波,其阻尼耗散程度不同;弹性波在楼层内传播过程中,不仅存在振幅随传播距离增大而衰减的现象,还存在复杂的波动干涉行为,并导致振动效应放大区的出现;测区楼板被激发出的前两阶固有频率分别为1.60 Hz与3.15 Hz,二者的分频振级均小于60 d B,对人体健康造成的潜在不利影响较小;为降低楼层振动效应对建筑体及附属设施的不利影响,可考虑采取进站提前减速、出站推迟加速的方法,亦可考虑在局部地铁道床采取减、隔振等措施,集中耗散高频振动能量。
基金Supported by the Scientific Research Foundation for the Returned Overseas Chinese Scholars,State Education Ministry.
文摘Constrained spectral non-negative matrix factorization(NMF)analysis of perturbed oscillatory process control loop variable data is performed for the isolation of multiple plant-wide oscillatory sources.The technique is described and demonstrated by analyzing data from both simulated and real plant data of a chemical process plant. Results show that the proposed approach can map multiple oscillatory sources onto the most appropriate control loops,and has superior performance in terms of reconstruction accuracy and intuitive understanding compared with spectral independent component analysis(ICA).
