Moghaddam Seyed Reza M, Hemler Sarah L, Redfern Mark S, Jacobs Tevis Db, Beschorner Kurt E
Department of Bioengineering, University of Pittsburgh, Benedum Engineering Hall 302, 3700 O'Hara St., Pittsburgh, PA 15261.
Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Benedum Hall 636, 3700 O'Hara St., Pittsburgh, PA 15261.
Wear. 2019 Mar 15;422-423:235-241. doi: 10.1016/j.wear.2019.01.070.
Worn shoes increase the risk of slip and fall accidents. Few research efforts have attempted to predict the progression of shoe wear. This study presents a computational modeling framework that simulates wear progression in footwear outsoles based on finite element analysis and Archard's equation for wear. The results of the computational model were qualitatively and quantitatively compared with experimental results from shoes subjected to an accelerated wear protocol. Key variables of interest were the order in which individual tread blocks were worn and the size of the worn region. The order in which shoe treads became completely worn were strongly correlated between the models and experiments ( > 0.74, < 0.005 for all of the shoes). The ability of the model to predict the size of the worn region varied across the shoe designs. Findings demonstrate the capability of the computational modeling methodology to provide realistic predictions of shoe wear progression. This model represents a promising first step to developing a model that can guide footwear replacement programs and footwear design with durable slip-resistance.
鞋子磨损会增加滑倒和跌倒事故的风险。很少有研究致力于预测鞋子磨损的进程。本研究提出了一个计算建模框架，该框架基于有限元分析和阿查德磨损方程来模拟鞋外底的磨损进程。将计算模型的结果与经过加速磨损试验的鞋子的实验结果进行了定性和定量比较。感兴趣的关键变量是各个胎面花纹块的磨损顺序和磨损区域的大小。模型与实验中鞋胎面完全磨损的顺序高度相关（所有鞋子的相关系数均>0.74，P<0.005）。该模型预测磨损区域大小的能力因鞋类设计而异。研究结果证明了计算建模方法能够对鞋子磨损进程做出实际预测。该模型是开发一个能够指导鞋类更换计划和具有持久防滑性能的鞋类设计模型的有前景的第一步。
