Mirhassani Moghaddam, Seyed Reza
(2018)
Computational Models for Predicting Shoe Friction and Wear.
Doctoral Dissertation, University of Pittsburgh.
(Unpublished)
This is the latest version of this item.
Abstract
Slips and falls are a serious occupational and health problem. Insufficient friction between a shoe and flooring, quantified by the coefficient of friction (COF), increases the likelihood of slips and falls. Moreover, shoe’s slip-resistant properties change over its lifetime due to wear. This dissertation applies physics-based computational finite element modeling techniques to predict shoe-floor-contaminant friction. Computational models that simulate COF due to hysteresis are developed using multiscale methods. These models are used to assess the effects of shoe design factors and biomechanical parameters of human gait on the predicted COF. To address a gap in the literature regarding models that simulate shoe wear progression, this dissertation develops and validates an innovative finite element modeling process utilizing Archard’s law that predicts shoe wear. Models introduced in this dissertation not only increase the understanding of slips and falls but also offer a valuable tool that can be used in designing slip-resistant and durable shoes in order to achieve the ultimate goal of reducing slip and fall injuries.
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Details
Item Type: |
University of Pittsburgh ETD
|
Status: |
Unpublished |
Creators/Authors: |
Creators | Email | Pitt Username | ORCID  |
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Mirhassani Moghaddam, Seyed Reza | sem162@pitt.edu | sem162 | |
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ETD Committee: |
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Date: |
20 June 2018 |
Date Type: |
Publication |
Defense Date: |
22 March 2018 |
Approval Date: |
20 June 2018 |
Submission Date: |
2 April 2018 |
Access Restriction: |
1 year -- Restrict access to University of Pittsburgh for a period of 1 year. |
Number of Pages: |
145 |
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: |
Shoe, Slips and Falls, Finite Element, Friction, Wear, Biomechanics, Ergonomics |
Additional Information: |
The video that is updated is referred to on page 99 of the dissertation (page 118 of the pdf).and the hyperlink functions properly |
Date Deposited: |
20 Jun 2018 16:21 |
Last Modified: |
20 Jun 2019 05:15 |
URI: |
http://d-scholarship.pitt.edu/id/eprint/34013 |
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Computational Models for Predicting Shoe Friction and Wear. (deposited 20 Jun 2018 16:21)
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