Computational model of shoe wear progression: Comparison with experimental results
Computational model of shoe wear progression: Comparison with experimental results
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DOI：
10.1016/j.wear.2019.01.070
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发表时间：
2019-03-15
期刊：
影响因子：
5
通讯作者：
Beschorner, Kurt E.
中科院分区：
文献类型：
--
作者：
Moghaddam, Seyed Reza M.;Hemler, Sarah L.;Beschorner, Kurt E.
破旧的鞋子会增加滑倒事故的风险。很少有研究尝试预测鞋子磨损的进展情况。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类外底的磨损进程。计算模型的结果与经过加速磨损协议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以及磨损区域的大小。鞋面完全磨损的顺序在模型和实验之间密切相关（对于所有鞋子，r(s) > 0.74，p < 0.005）。模型预测磨损区域大小的能力因鞋子设计而异。研究结果证明了计算建模方法能够提供鞋子磨损进展的真实预测。该模型代表着开发模型的第一步，该模型可以指导鞋类更换计划和具有持久防滑性的鞋类设计。
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 model and experiment (r(s) > 0.74, p < 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.