<div class="csl-bib-body">
<div class="csl-entry">Deix, K. (2023, December 19). <i>Determination of the slip resistance of interspersed resin flooring with a convolutional neural network</i> [Presentation]. Workshop on Sustainable Materials, Processes and Demonstration of Recycle Resin Flooring System 2023, Wolverhampton, United Kingdom of Great Britain and Northern Ireland (the).</div>
</div>
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/191845
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dc.description.abstract
The ramp slip test is a reliable and widely used method to evaluate the slip resistance of interspersed synthetic resin floors, common in industrial and parking areas. Following EN 16165 and using a ramp with varying inclinations, the floor R-class can be determined. This test can, however, only be performed in a laboratory, and not on-site. Here, we propose a method to determine the floor R-class from its surface topography, which can easily be measured on-site. In this study, floors of various slip resistances were prepared following the conventional method of spreading quartz sand onto a liquid resin. The interspersed surface creates a 3-dimensional topography, which is characteristic for the anti-slip properties. After the resin hardening, the R-class was measured and, in parallel, a convolutional neural network was developed and trained with the numerous photographs taken from the specimen surfaces. The used convolutional neural network classifies 95% of the surfaces into the correct R-class. This result makes it possible, for the first time, to determine the R-class slip resistance on-site with a high probability of correctness.
en
dc.language.iso
en
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dc.subject
Synthetic resin flooring
en
dc.subject
Slip resistance
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dc.subject
Roughness
en
dc.subject
Ramp slip test
en
dc.subject
Convolutional neural network
en
dc.title
Determination of the slip resistance of interspersed resin flooring with a convolutional neural network
en
dc.type
Presentation
en
dc.type
Vortrag
de
dc.type.category
Presentation
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tuw.publication.invited
invited
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tuw.researchTopic.id
M2
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tuw.researchTopic.id
C1
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tuw.researchTopic.name
Materials Characterization
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tuw.researchTopic.name
Computational Materials Science
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tuw.researchTopic.value
50
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tuw.researchTopic.value
50
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tuw.publication.orgunit
E207-01 - Forschungsbereich Baustofflehre und Werkstofftechnologie
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tuw.author.orcid
0000-0002-1544-3686
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tuw.event.name
Workshop on Sustainable Materials, Processes and Demonstration of Recycle Resin Flooring System 2023