Details:

Alternative Title:
Appl Ergon
Personal Author:
Iraqi, Arian ; Vidic, Natasa S. ; Redfern, Mark S. ; Beschorner, Kurt E. ;
Iraqi, Arian ; Vidic, Natasa S. ; Redfern, Mark S. ; Beschorner, Kurt E. ; Less -
Description:
Traction testing of footwear is expensive, which may create barriers for certain users to assess footwear. This study aimed to develop a statistical model that predicts available coefficient of friction (ACOF) under boundary lubrication conditions based on inexpensive measurements of footwear outsole features. Geometric and material hardness parameters were measured from fifty-eight footwear designs labeled as slip-resistant. A robotic friction measurement device was used to quantify ACOF with canola oil as the contaminant. Stepwise regression methods were used to develop models based on the outsole parameters and floor type to predict ACOF. The predictive ability of the regression models was tested using the k-fold cross-validation method. Results indicated that 87% of ACOF variation was explained by three shoe outsole parameters (tread surface area, heel shape, hardness) and floor type. This approach may provide an assessment tool for safety practitioners to assess footwear traction and improve workers' safety.
Subject:
[+]
Accidental Falls
Article
Coefficient Of Friction
Equipment Design
Female
Floors And Floorcoverings
Friction
Humans
Male
Shoes
Shoe Safety
Shoe Traction Assessment
Slip-resistant
Slips
Surface Properties

Source:
Appl Ergon. 82:102963 ;
Pubmed ID:
31580996
Pubmed Central ID:
PMC7365588
Document Type:
Journal Article ;
Funding:
R01 OH010940/OH/NIOSH CDC HHS/United States ; R03 OH011069/OH/NIOSH CDC HHS/United States ;
R01 OH010940/OH/NIOSH CDC HHS/United States ; R03 OH011069/OH/NIOSH CDC HHS/United States ; Less -
Collection(s):
CDC Public Access
Main Document Checksum:
[+]
urn:sha256:e665b6283c52b6817b593966df81c8bbe19897cb5d3eca7554b3631e2bcf731d
File Type:

Supporting Files

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