综合滑移预测模型中与摩擦有关的分量。2使用比率分析和阈值无因次数

A. Fendley, M. Marpet, H. Medoff
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引用次数: 2

摘要

见同上,第158-61页(1995)。瀑布与汽车和枪支并列,是造成意外伤害的主要原因,造成直接的发病率和死亡率。跌倒是老年人意外死亡的主要原因。滑倒占跌倒的多数,如果不是大多数的话。脚后跟打滑,很难从打滑中恢复过来,这是导致跌倒的主要原因。为了防止打滑,一个综合的打滑模预测模型是有用的。一个综合的滑移预测模型必须同时考虑定性和定量因素。摩擦本身不能完全预测行人滑倒的倾向或概率。在这里,作者应用比例分析的摩擦参数在pt. I探索表征摩擦相关成分的综合滑移预测模型。随后的调查将需要实验来数值表征这里讨论的因素。
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The friction-related component of a comprehensive slip-prediction model. II. Use of ratiometric analysis and thresholded dimensionless numbers
For pt. I see ibid., p. 158-61 (1995). Falls rank with automobile and firearms as the leading generators of unintentional injury with direct morbidity and mortality costs. Falls are the leading cause of accident-caused mortality in senior citizens. Slips account for a plurality, if not a majority of falls. Heel slips, from which recovery can be difficult, account for the majority of slip-induced falls. To prevent slips, a comprehensive model for the prediction of slip mould be useful. A comprehensive slip-prediction model must consider both qualitative and quantitative factors. Friction alone may not completely predict pedestrian slip propensity or probability. Here, the authors apply ratiometric analysis of the friction parameters explored in pt. I to characterize the friction-related component of a comprehensive slip-prediction model. Subsequent investigation will require experiments to numerically characterize the factors discussed here.
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