Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Mechanics and Assessment of Shoe Tread Wear - Replacement Strategies for Preventing Slips

Hemler, Sarah (2021) Mechanics and Assessment of Shoe Tread Wear - Replacement Strategies for Preventing Slips. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

[img] PDF
Updated Version
Restricted to University of Pittsburgh users only until 3 September 2023.

Download (7MB) | Request a Copy

Abstract

Slips and falls are a major cause of injury in the workplace. Slips often occur due to insufficient friction and fluid drainage (traction performance) between footwear and a contaminated flooring. Shoe tread is designed to increase traction performance to prevent slipping. As shoe tread wears down, however, the risk of slipping increases. This dissertation examined changes and causes of progressive shoe tread wear and developed shoe replacement strategies to reduce the occurrence of slips. Aim 1 assessed the traction performance changes of shoes worn artificially and naturally through two longitudinal studies. Under-shoe friction and fluid drainage ability decreased with wear. The largest continuous worn region size of the tread was applied to a hydrodynamic model to predict the film thickness between the shoe and flooring. These findings provide knowledge for how traction performance changes across the life of a shoe. This knowledge may help guide shoe testing standards and guide metrics such as the worn region size to recommend replacement. Aim 2 determined the impact of gait kinetics and shoe outsole hardness on tread wear rate. Peak shear forces and the required coefficient of friction were positively correlated with wear rate, but normal force and hardness were not associated with wear rate. This work shows that footwear and replacement strategies could be designed to accommodate individual kinetics. Aim 3 focused on the development of a low-cost tool to scan the shoe tread, determine the worn region size, and predict slip risk. User-centered design techniques were used to incorporate potential users throughout the product design process. The developed scanner was able to accurately determine the shoe worn region size and subsequently predict slip risk. The tool received a satisfactory approval score from the potential users. Findings from Aim 3 will guide future tool iterations and present important insights for involving potential users in the design of products for preventing falls. Overall, this dissertation quantified changes in shoe traction performance with tread wear, identified factors influencing tread wear, and described the development of a tool to recommend shoe replacement to prevent slip and fall injuries.


Share

Citation/Export:
Social Networking:
Share |

Details

Item Type: University of Pittsburgh ETD
Status: Unpublished
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Hemler, SarahSLH148@pitt.eduslh148
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairBeschorner, Kurtbeschorn@pitt.edu0000-0002-3058-2617
Committee MemberRedfern, Markmredfern@pitt.edu0000-0003-0097-4641
Committee MemberMoyer, Brianbmoyer@pitt.edu
Committee MemberSommerich, Carolynsommerich.1@osu.edu
Committee MemberCham, Rakiercham@pitt.edu0000-0003-2595-9376
Date: 3 September 2021
Date Type: Publication
Defense Date: 11 May 2021
Approval Date: 3 September 2021
Submission Date: 2 June 2021
Access Restriction: 2 year -- Restrict access to University of Pittsburgh for a period of 2 years.
Number of Pages: 218
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Bioengineering
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: Footwear, Friction, Hydrodynamics, Wear, Tread, Slips and Falls, User-centered design, ACOF, RCOF, Gait Kinetics
Date Deposited: 03 Sep 2021 19:06
Last Modified: 15 Sep 2021 16:54
URI: http://d-scholarship.pitt.edu/id/eprint/41416

Metrics

Monthly Views for the past 3 years

Plum Analytics


Actions (login required)

View Item View Item