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A Statistical Model of Fibre Distribution in a Steel Fibre Reinforced Concrete

The aim of the research was to create a model of steel fibre distribution in a Steel Fibre Reinforced Concrete space using statistical probability means. The model was created in order to better understand the behaviour of the composite under operating conditions. Four statistical distributions (Bet...

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Detalles Bibliográficos
Autor principal: Kobaka, Janusz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8658594/
https://www.ncbi.nlm.nih.gov/pubmed/34885465
http://dx.doi.org/10.3390/ma14237297
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author Kobaka, Janusz
author_facet Kobaka, Janusz
author_sort Kobaka, Janusz
collection PubMed
description The aim of the research was to create a model of steel fibre distribution in a Steel Fibre Reinforced Concrete space using statistical probability means. The model was created in order to better understand the behaviour of the composite under operating conditions. Four statistical distributions (Beta, Kumaraswamy, Three Parameter Beta and Generalised Transmuted Kumaraswamy) were examined to find the distribution that best described fibre settling phenomenon caused by manufacturing process conditions. In the next stage the chosen statistical distribution was adapted to create the model of steel fibre distribution in a Steel Fibre Reinforced Concrete space. The model took into account technological conditions such as vibrating time and properties such as consistency of the tested concrete. The model showed a good agreement with the real fibre distribution.
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spelling pubmed-86585942021-12-10 A Statistical Model of Fibre Distribution in a Steel Fibre Reinforced Concrete Kobaka, Janusz Materials (Basel) Article The aim of the research was to create a model of steel fibre distribution in a Steel Fibre Reinforced Concrete space using statistical probability means. The model was created in order to better understand the behaviour of the composite under operating conditions. Four statistical distributions (Beta, Kumaraswamy, Three Parameter Beta and Generalised Transmuted Kumaraswamy) were examined to find the distribution that best described fibre settling phenomenon caused by manufacturing process conditions. In the next stage the chosen statistical distribution was adapted to create the model of steel fibre distribution in a Steel Fibre Reinforced Concrete space. The model took into account technological conditions such as vibrating time and properties such as consistency of the tested concrete. The model showed a good agreement with the real fibre distribution. MDPI 2021-11-29 /pmc/articles/PMC8658594/ /pubmed/34885465 http://dx.doi.org/10.3390/ma14237297 Text en © 2021 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kobaka, Janusz
A Statistical Model of Fibre Distribution in a Steel Fibre Reinforced Concrete
title A Statistical Model of Fibre Distribution in a Steel Fibre Reinforced Concrete
title_full A Statistical Model of Fibre Distribution in a Steel Fibre Reinforced Concrete
title_fullStr A Statistical Model of Fibre Distribution in a Steel Fibre Reinforced Concrete
title_full_unstemmed A Statistical Model of Fibre Distribution in a Steel Fibre Reinforced Concrete
title_short A Statistical Model of Fibre Distribution in a Steel Fibre Reinforced Concrete
title_sort statistical model of fibre distribution in a steel fibre reinforced concrete
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8658594/
https://www.ncbi.nlm.nih.gov/pubmed/34885465
http://dx.doi.org/10.3390/ma14237297
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