Predictive multiscale computational model of shoe-floor coefficient of friction.
Predictive multiscale computational model of shoe-floor coefficient of friction.
复制标题
鞋底摩擦系数的预测多尺度计算模型。
DOI：
10.1016/j.jbiomech.2017.11.009
复制
发表时间：
2018
影响因子：
2.4
通讯作者：
Beschorner,KurtE
中科院分区：
文献类型：
--
作者：
Moghaddam,SeyedRezaM;Acharya,Arjun;Redfern,MarkS;Beschorner,KurtE
了解走路时鞋子和地板之间的摩擦作用对于防止滑倒和跌倒至关重要，特别是当有污染物存在时。建立了鞋-地板-污染物摩擦的多尺度有限元模型，该模型在微观和宏观尺度上考虑了鞋-地板的表面和材料特性。该模型计算了在边界润滑状态下，粘着摩擦和动水压力的影响可以忽略的鞋底摩擦系数（COF）。通过将模型预测结果与力学COF试验结果进行比较，评估模型输出的有效性。多尺度模型估计值与实验结果呈线性相关（p < 0.0001）。该模型预测了实验测量的鞋-地板污染物COF中73%的可变性。结果表明了多尺度有限元建模在帮助防滑鞋和地板设计以及减少滑倒伤害方面的潜力。
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 < 0.0001). The model predicted 73% of variability in experimentally-measured shoe-floor-contaminant COF. The results demonstrate the potential of multiscale finite element modeling in aiding slip-resistant shoe and flooring design and reducing slip and fall injuries.