AbstractProblem: Surface roughness affects friction, so selection of floor surfaces with certain roughness characteristics could potentially reduce slip and fall accidents. This article summarizes the preferred surface microscopic geometric features that could increase friction on surfaces covered with liquid contaminants. Method: Three types of surface features, represented by the average of the maximum height above the mean line in each cut-off length (Rpm), the arithmetical average of surface slope (Δa), and the kernel roughness depth (Rk), are identified as preferred surface microscopic geometric features for a higher friction. The proper settings on the profilometers (instruments used to measure surface roughness) for optimizing these surface parameters are specified. The friction mechanisms involved reveal why these features are more desirable. Results: Although surface roughness is important in determining slipperiness, there is still insufficient information to establish a safety criterion based on roughness; however, the method presented in this paper can readily provide a relative comparison. Impact on Industry: The summary presented will help safety professionals properly select new floor surfaces or assess existing floors to reduce slip and fall accidents.


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    Title :

    Preferred surface microscopic geometric features on floors as potential interventions for slip and fall accidents on liquid contaminated surfaces


    Contributors:

    Published in:

    Publication date :

    2003-09-24


    Size :

    9 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English