Computational Model of Shoe Wear Progression: Comparison with Experimental Results
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2019/03/15
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Description: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 (rs > 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. [Description provided by NIOSH]
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ISSN:0043-1648
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Pages in Document:235-241
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Volume:422
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NIOSHTIC Number:nn:20068268
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Citation:Wear 2019 Mar; 422-423:235-241
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Contact Point Address:Kurt E. Beschorner, Department of Bioengineering, University of Pittsburgh, Benedum Engineering Hall 302, 3700 O'Hara St., Pittsburgh, PA 15261, United States
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Email:beschorn@pitt.edu
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Federal Fiscal Year:2019
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Performing Organization:University of Pittsburgh
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Peer Reviewed:True
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Start Date:20150930
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Source Full Name:Wear: an international journal on the science and technology of friction, lubrication and wear
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End Date:20190929
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Main Document Checksum:urn:sha-512:ede0f572d527465fb4b6b23045de75fd917efe9a213693dc60430ea52a3ebfbc720910fd695f3522b4aa90b67ecc69c78ee99493fd31cb8fe01d0a80ba824608
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