TY - JOUR
T1 - Modelling the stochastic nature of the available coefficient of friction at footwear-floor interfaces
AU - Gragg, Jared
AU - Klose, Ellison
AU - Yang, James
N1 - Publisher Copyright:
© 2016 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2017/7/3
Y1 - 2017/7/3
N2 - The available coefficient of friction (ACOF) is a measure of the friction available between two surfaces, which for human gait would be the footwear–floor interface. It is often compared to the required coefficient of friction (RCOF) to determine the likelihood of a slip in gait. Both the ACOF and RCOF are stochastic by nature meaning that neither should be represented by a deterministic value, such as the sample mean. Previous research has determined that the RCOF can be modelled well by either the normal or lognormal distributions, but previous research aimed at determining an appropriate distribution for the ACOF was inconclusive. This study focuses on modelling the stochastic nature of the ACOF by fitting eight continuous probability distributions to ACOF data for six scenarios. In addition, the data were used to study the effect that a simple housekeeping action such as sweeping could have on the ACOF. Practitioner Summary: Previous research aimed at determining an appropriate distribution for the ACOF was inconclusive. The study addresses this issue as well as looking at the effect that an act such as sweeping has on the ACOF.
AB - The available coefficient of friction (ACOF) is a measure of the friction available between two surfaces, which for human gait would be the footwear–floor interface. It is often compared to the required coefficient of friction (RCOF) to determine the likelihood of a slip in gait. Both the ACOF and RCOF are stochastic by nature meaning that neither should be represented by a deterministic value, such as the sample mean. Previous research has determined that the RCOF can be modelled well by either the normal or lognormal distributions, but previous research aimed at determining an appropriate distribution for the ACOF was inconclusive. This study focuses on modelling the stochastic nature of the ACOF by fitting eight continuous probability distributions to ACOF data for six scenarios. In addition, the data were used to study the effect that a simple housekeeping action such as sweeping could have on the ACOF. Practitioner Summary: Previous research aimed at determining an appropriate distribution for the ACOF was inconclusive. The study addresses this issue as well as looking at the effect that an act such as sweeping has on the ACOF.
KW - Available coefficient of friction
KW - footwear–floor interface
KW - required coefficient of friction
KW - slips and falls
KW - stochastic nature
UR - http://www.scopus.com/inward/record.url?scp=84988672795&partnerID=8YFLogxK
U2 - 10.1080/00140139.2016.1231346
DO - 10.1080/00140139.2016.1231346
M3 - Article
C2 - 27592564
AN - SCOPUS:84988672795
SN - 0014-0139
VL - 60
SP - 977
EP - 984
JO - Ergonomics
JF - Ergonomics
IS - 7
ER -