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平均时间间隔对鞋底污染物有效摩擦系数测量的影响。

Influence of averaging time-interval on shoe-floor-contaminant available coefficient of friction measurements.

机构信息

Department of Bioengineering, University of Pittsburgh, Benedum Engineering Hall #302, 3700 O'Hara St., Pittsburgh, PA, 15261, United States.

Crossroads Consulting, LLC, 1334 Luzerne St Ext, Johnstown, PA, 15905, United States; Mechanical Engineering, University of Pittsburgh Johnstown, Johnstown, PA, 15905, United States.

出版信息

Appl Ergon. 2020 Jan;82:102959. doi: 10.1016/j.apergo.2019.102959. Epub 2019 Sep 27.

DOI:10.1016/j.apergo.2019.102959
PMID:31568960
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6922306/
Abstract

Available coefficient of friction (ACOF) is a common metric of footwear traction performance. ACOF is the ratio of friction to normal force, often averaged over a time-interval. The time-interval needed to achieve repeatable and valid ACOF is unknown. A post-hoc analysis was performed on nine shoe-floor-contaminant combinations to assess the repeatability and bias of data averaged across 4 time-intervals (2 ms, 50 ms, 100 ms, 200 ms) after the target normal force was reached. The ability to predict human slips was assessed for ACOF across these intervals. Differences in repeatability and validity across the four intervals were small. However, statistically significant differences were observed for the shortest compared with the longest interval (lower repeatability yet modestly improved predictive ability). Given the limited impact of time-interval on the results, a shorter interval of 50 ms is recommended to enable testing of smaller floor samples.

摘要

可用摩擦系数(ACOF)是一种常用的鞋类牵引力性能指标。ACOF 是摩擦力与法向力的比值,通常在一段时间内平均计算。达到可重复且有效的 ACOF 所需的时间间隔是未知的。对九种鞋-地板-污染物组合进行了事后分析,以评估在达到目标法向力后 4 个时间间隔(2ms、50ms、100ms、200ms)内平均数据的重复性和偏差。评估了 ACOF 在这些间隔内预测人类滑倒的能力。四个间隔内的重复性和有效性差异较小。然而,与最长间隔相比,最短间隔观察到统计学上显著差异(重复性较低,但预测能力略有提高)。考虑到时间间隔对结果的影响有限,建议使用较短的 50ms 间隔,以能够测试更小的地板样本。

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本文引用的文献

1
A Method for Measuring Fluid Pressures in the Shoe-Floor-Fluid Interface: Application to Shoe Tread Evaluation.一种测量鞋底-地面-流体界面流体压力的方法:在鞋底花纹评估中的应用。
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Predicting slips based on the STM 603 whole-footwear tribometer under different coefficient of friction testing conditions.基于 STM 603 整体鞋类摩擦试验机在不同摩擦系数测试条件下预测滑倒。
Ergonomics. 2019 May;62(5):668-681. doi: 10.1080/00140139.2019.1567828. Epub 2019 Feb 26.
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Coefficient of friction testing parameters influence the prediction of human slips.
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Appl Ergon. 2018 Jul;70:118-126. doi: 10.1016/j.apergo.2018.02.017. Epub 2018 Mar 20.
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Kinematics and kinetics of the shoe during human slips.人类滑倒过程中鞋子的运动学与动力学
J Biomech. 2018 Jun 6;74:57-63. doi: 10.1016/j.jbiomech.2018.04.018. Epub 2018 Apr 25.
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Performance testing of work shoes labeled as slip resistant.工作鞋防滑性能测试。
Appl Ergon. 2018 Apr;68:304-312. doi: 10.1016/j.apergo.2017.12.008. Epub 2017 Dec 26.
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The influence of footwear tread groove parameters on available friction.鞋类胎面花纹沟参数对有效摩擦力的影响。
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9
Fluid pressures at the shoe-floor-contaminant interface during slips: effects of tread and implications on slip severity.鞋底-污染物界面滑动时的流体压力:胎面花纹的影响及其对滑动严重程度的意义。
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