Improved characterization of tribometric test results

Marpet, Mark I.

doi:10.1016/s0925-7535(01)00068-6

Cited by 18 publications

(2 citation statements)

References 8 publications

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“…Marpet 4) suggested that the safety threshold might not be compared with the average of entire measured data set, but be compared with the tenth percentile of all measured data set. Barnett 2) suggested novel theory of slip potential which provided a mathematically closed form equation and easily manipulated relationship among the probability of slipping, critical friction criterion, the distance traveled by walker, and three statistical parameters (average, spread and asymmetry of entire distribution of COF) that characterize the floor/footwear set.…”

Section: Stochastic Nature Of Frictionmentioning

confidence: 99%

The Development of Robot System for Assessing Slip Resistance

Kim¹

2013

Journal of the Korean Society of Safety

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The main objective was to design and develop a prototype robot system for assessing slip resistance. The developed robot system will be able to be used for stochastic nature of friction in the whole workplace. The second objective was to evaluate its operating condition in the laboratory, using a dreg sled type slipmeter(BOT-3000) as reference device. It was found that COF(Coefficient of Friction) measured with robot system was similar to that of BOT-3000 when sliding velocity was reached at 0.2㎧. The robot system might be the more promising one than any traditional measurement devices. A further evolution of prototype devices, as well as the development of test methods for that's various applications, is to be started in forthcoming studies.

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Section: Stochastic Nature Of Frictionmentioning

confidence: 99%

The Development of Robot System for Assessing Slip Resistance

Kim¹

2013

Journal of the Korean Society of Safety

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“…Therefore, the ACOF for a particular interface is not a constant, but has a stochastic distribution. The concept of a distribution in the ACOF was discussed by Barnett (2002) and Marpet (2002). Barnett (2002) obtained 400 measurements of the ACOF over 100 new tiles under the dry condition with the Horizontal Pull Slipmeter (HPS) and reported that the distribution of the ACOF was near a Weibull distribution.…”

Section: Introductionmentioning

confidence: 99%

The stochastic distribution of available coefficient of friction on quarry tiles for human locomotion

Chang

Matz

Chang

2012

Work

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The available coefficient of friction (ACOF) for human locomotion is the maximum coefficient of friction that can be supported without a slip at the shoe and floor interface. A statistical model was introduced to estimate the probability of slip by comparing the ACOF with the required coefficient of friction, assuming that both coefficients have stochastic distributions. This paper presents an investigation of the stochastic distributions of the ACOF of quarry tiles under dry, water and glycerol conditions. One hundred friction measurements were performed on a walkway under the surface conditions of dry, water and 45% glycerol concentration. The Kolmogorov-Smirnov goodness-of-fit test was used to determine if the distribution of the ACOF was a good fit with the normal, log-normal and Weibull distributions. The results indicated that the ACOF appears to fit the normal and log-normal distributions better than the Weibull distribution for the water and glycerol conditions. However, no match was found between the distribution of ACOF under the dry condition and any of the three continuous distributions evaluated. Based on limited data, a normal distribution might be more appropriate due to its simplicity, practicality and familiarity among the three distributions evaluated.

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A new slip safety risk scale of natural stones with statistical K-means clustering analysis

Çoşkun

2018

Arab J Geosci

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Improved characterization of tribometric test results

Cited by 18 publications

References 8 publications

The Development of Robot System for Assessing Slip Resistance

The Development of Robot System for Assessing Slip Resistance

The stochastic distribution of available coefficient of friction on quarry tiles for human locomotion

A new slip safety risk scale of natural stones with statistical K-means clustering analysis

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