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首页> 外文期刊>Journal of Biomechanics >Predictive multiscale computational model of shoe-floor coefficient of friction
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Predictive multiscale computational model of shoe-floor coefficient of friction

机译:鞋面摩擦系数的预测多尺度计算模型

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摘要

Abstract Understanding the frictional interactions between the shoe and floor during walking is critical to prevention of slips and falls, particularly when contaminants are present. A multiscale finite element model of shoe-floor-contaminant friction was developed that takes into account the surface and material characteristics of the shoe and flooring in microscopic and macroscopic scales. The model calculates shoe-floor coefficient of friction (COF) in boundary lubrication regime where effects of adhesion friction and hydrodynamic pressures are negligible. The validity of model outputs was assessed by comparing model predictions to the experimental results from mechanical COF testing. The multiscale model estimates were linearly related to the experimental results (p?
机译:摘要了解行走期间鞋子和地板之间的摩擦相互作用对于防止滑动和跌落至关重要,特别是当存在污染物时。 开发了一种多尺度有限元模型,其考虑了微观和宏观尺度的鞋和地板的表面和材料特性。 该模型计算边界润滑制度中的摩擦摩擦系数(COF),其中粘附摩擦和流体动力学的影响可忽略不计。 通过将模型预测与机械COF测试的实验结果进行比较来评估模型输出的有效性。 多尺度模型估计与实验结果线性相关(P?

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