针对隧道工人职业健康风险缺乏定量评价方法的现状,借鉴公共环境健康领域暴露评价模型对隧道施工PM10职业暴露的健康风险进行定量评价.设计职业暴露问卷对湖北麻竹高速公路某标段施工中的250名隧道工人进行了调查,并对现场PM10浓度水平...针对隧道工人职业健康风险缺乏定量评价方法的现状,借鉴公共环境健康领域暴露评价模型对隧道施工PM10职业暴露的健康风险进行定量评价.设计职业暴露问卷对湖北麻竹高速公路某标段施工中的250名隧道工人进行了调查,并对现场PM10浓度水平进行了监测.结果表明,隧道工人的PM10暴露浓度水平相当高,开挖工、爆破工、支护工、出渣工、二衬工的PM10暴露浓度分别为限值的83倍、18倍、8倍、9倍和9倍;5个工种比较,二衬工日均暴露时间最长,达11.48 h·d-1,能量代谢率最高,达1 067.43 k J·(m2·h)-1,呼吸速率的计算结果显示除二衬工属于重度活动以外,其他4个工种均为中度活动;评价结果显示5个工种均存在健康风险,其中,PM10暴露浓度高是开挖工和爆破工危险系数高的主要原因,而二衬工危险系数高的原因则在于高劳动强度所致的较高的呼吸速率以及较高的日均暴露时间.降低隧道工人PM10健康风险可行的途径是通过配备合适劳动作业的呼吸防护用品从而降低PM10暴露浓度,另外可通过制定相应的职业规范设置合理的劳动年限从而减少持续暴露时间.展开更多
Rate of penetration of a Tunnel Boring Machine(TBM) in a rock environment is generally a key parameter for the successful accomplishment of a tunneling project.This paper presents the results of a study into the appli...Rate of penetration of a Tunnel Boring Machine(TBM) in a rock environment is generally a key parameter for the successful accomplishment of a tunneling project.This paper presents the results of a study into the application of an Artificial Neural Network(ANN) technique for modeling the penetration rate of tunnel boring machines.A database,including actual,measured TBM penetration rates,uniaxial compressive strengths of the rock,the distance between planes of weakness in the rock mass and rock quality designation was established.Data collected from three different TBM projects(the Queens Water Tunnel,USA,the Karaj-Tehran water transfer tunnel,Iran,and the Gilgel Gibe II hydroelectric project,Ethiopia).A five-layer ANN was found to be optimum,with an architecture of three neurons in the input layer,9,7 and 3 neurons in the first,second and third hidden layers,respectively,and one neuron in the output layer.The correlation coefficient determined for penetration rate predicted by the ANN was 0.94.展开更多
文摘针对隧道工人职业健康风险缺乏定量评价方法的现状,借鉴公共环境健康领域暴露评价模型对隧道施工PM10职业暴露的健康风险进行定量评价.设计职业暴露问卷对湖北麻竹高速公路某标段施工中的250名隧道工人进行了调查,并对现场PM10浓度水平进行了监测.结果表明,隧道工人的PM10暴露浓度水平相当高,开挖工、爆破工、支护工、出渣工、二衬工的PM10暴露浓度分别为限值的83倍、18倍、8倍、9倍和9倍;5个工种比较,二衬工日均暴露时间最长,达11.48 h·d-1,能量代谢率最高,达1 067.43 k J·(m2·h)-1,呼吸速率的计算结果显示除二衬工属于重度活动以外,其他4个工种均为中度活动;评价结果显示5个工种均存在健康风险,其中,PM10暴露浓度高是开挖工和爆破工危险系数高的主要原因,而二衬工危险系数高的原因则在于高劳动强度所致的较高的呼吸速率以及较高的日均暴露时间.降低隧道工人PM10健康风险可行的途径是通过配备合适劳动作业的呼吸防护用品从而降低PM10暴露浓度,另外可通过制定相应的职业规范设置合理的劳动年限从而减少持续暴露时间.
文摘Rate of penetration of a Tunnel Boring Machine(TBM) in a rock environment is generally a key parameter for the successful accomplishment of a tunneling project.This paper presents the results of a study into the application of an Artificial Neural Network(ANN) technique for modeling the penetration rate of tunnel boring machines.A database,including actual,measured TBM penetration rates,uniaxial compressive strengths of the rock,the distance between planes of weakness in the rock mass and rock quality designation was established.Data collected from three different TBM projects(the Queens Water Tunnel,USA,the Karaj-Tehran water transfer tunnel,Iran,and the Gilgel Gibe II hydroelectric project,Ethiopia).A five-layer ANN was found to be optimum,with an architecture of three neurons in the input layer,9,7 and 3 neurons in the first,second and third hidden layers,respectively,and one neuron in the output layer.The correlation coefficient determined for penetration rate predicted by the ANN was 0.94.
