Bioengineering Department, University of Pittsburgh, 3700 O'Hara St. #302, Pittsburgh, PA, 15261, USA.
Industrial Engineering Department, University of Pittsburgh, 3700 O'Hara St. #1007, Pittsburgh, PA, 15261, USA.
Appl Ergon. 2022 Apr;100:103663. doi: 10.1016/j.apergo.2021.103663. Epub 2021 Dec 8.
Slip and fall injuries can be prevented through footwear with good friction performance. The factors that contribute to friction in non-slip-resistant (NSR) shoes are not well understood. The purpose of this study was to determine whether predictive models for slip-resistant (SR) shoes also apply to NSR shoes. This study also quantified the contributions of under-shoe fluid drainage to friction in NSR shoes. The coefficient of friction (ACOF) and under-shoe fluid pressures of fifteen NSR shoes were measured. A previously developed ACOF prediction model based on measurable outsole features was applied to the NSR shoes. The previously developed model did not apply well (in trends, as indicated by interaction effects involving SR/NSR classification, or in magnitude, p < 0.001) to NSR shoes. Instead, an increase in the fluid pressures were associated with a reduction in ACOF (p < 0.001). This study demonstrates that fluid pressures dominate performance in NSR shoes in contrast to SR shoes.
滑倒和跌落伤害可以通过具有良好摩擦性能的鞋子来预防。对于非止滑（NSR）鞋产生摩擦的因素还不是很清楚。本研究的目的是确定防滑（SR）鞋的预测模型是否也适用于 NSR 鞋。本研究还量化了鞋底下液体排出对 NSR 鞋摩擦的贡献。测量了十五只 NSR 鞋的摩擦系数（ACOF）和鞋底下的流体压力。将先前基于可测量鞋底特征开发的 ACOF 预测模型应用于 NSR 鞋。该模型不适用于 NSR 鞋（表现在趋势上，如 SR/NSR 分类的交互效应，或在幅度上，p < 0.001）。相反，流体压力的增加与 ACOF 的降低有关（p < 0.001）。本研究表明，与 SR 鞋相比，在 NSR 鞋中，流体压力主导着性能。
