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Predictors of whole-body-vibration exposure experienced by transport truck operators.

机译:运输卡车操作员经历的全身振动暴露的预测指标。

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摘要

Whole-body-Vibration (WBV) exposure levels experienced by transport truck operators were investigated to determine whether their exposure exceeded the ISO standards. A second purpose of the study was to determine which truck characteristics predicted the levels of WBV exposures experienced. Predictor variables included road condition, truck type, driver experience, truck mileage, and seat type. Tests were conducted on four major highways. During each trip 5-minute random samples were taken during each 30-minutes of travel time at speeds greater than 80 km/hr. The dominant axis for which the vibration acted was the z-axis.; Results indicated operators were not at increased risk of adverse health effects from daily exposures when compared to ISO 2631-1 (1997) WBV standards and the ACGIH TLV (2000) guidelines. Significant regression models predicting the frequency weighted RMS accelerations for the x (F(5,97) = 8.63, p 0.01), y (F(5,97) = 7.74, p 0.01), z (F(5,61) = 9.83, p 0.01) axes and the vector sum of the orthogonal axes (F(5,61) = 13.89, p 0.01) were observed. Road was a significant predictor (p 0.01) for all 3 axes and the vector sum of the axes, while truck type was a significant predictor (p 0.01) in the z-axis and vector sum frequency weighted RMS accelerations. No other predictor variables were significantly related to the levels of WBV experienced by operators. Future WBV research should explore seasonal driving conditions, vehicles with greater age differences, a wider variety of seating conditions and suspension systems and team driver situations.
机译:调查了运输卡车操作员经历的全身振动(WBV)暴露水平,以确定他们的暴露量是否超过ISO标准。该研究的第二个目的是确定哪种卡车特性可以预测所经历的WBV暴露水平。预测变量包括路况,卡车类型,驾驶员经验,卡车里程和座椅类型。在四个主要公路上进行了测试。在每次旅行中,在每30分钟的行驶时间中,以大于80 km / hr的速度采集5分钟的随机样本。振动作用的主导轴是z轴。结果表明,与ISO 2631-1(1997)WBV标准和ACGIH TLV(2000)指南相比,操作员每天暴露于健康危害的风险没有增加。显着的回归模型预测x(F (5,97) = 8.63,p <0.01),y(F (5,97) = 7.74,p <0.01),z(F (5,61) = 9.83,p <0.01)轴和正交轴的矢量和(F (5,61) = 13.89,p <0.01)。对于所有3个轴和轴的向量和,Road是一个重要的预测因子(p <0.01),而在z轴和向量和频率加权RMS加速度中,卡车类型是一个重要的预测因子(p <0.01)。没有其他预测变量与操作员经历的WBV水平显着相关。未来的WBV研究应探索季节性驾驶条件,年龄差异较大的车辆,座椅条件和悬架系统以及车队驾驶员情况的多样性。

著录项

  • 作者

    Cann, Adam P.;

  • 作者单位

    Laurentian University of Sudbury (Canada).;

  • 授予单位 Laurentian University of Sudbury (Canada).;
  • 学科 Health Sciences Occupational Health and Safety.
  • 学位 M.Sc.
  • 年度 2002
  • 页码 142 p.
  • 总页数 142
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 职业性疾病预防;
  • 关键词

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