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Industrial pipelines data generator

The construction of industrial projects involves fabricating and installing massive quantities of pipelines. The design data of pipelines is complex, usually unique for each project and not easily available to researchers and the public for confidentiality reasons. As a result, an industrial pipelin...

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Detalles Bibliográficos
Autores principales: AL-Alawi, Mubarak, Bouferguene, Ahmed, Mohamed, Yasser
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490719/
https://www.ncbi.nlm.nih.gov/pubmed/32964084
http://dx.doi.org/10.1016/j.dib.2020.106275
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author AL-Alawi, Mubarak
Bouferguene, Ahmed
Mohamed, Yasser
author_facet AL-Alawi, Mubarak
Bouferguene, Ahmed
Mohamed, Yasser
author_sort AL-Alawi, Mubarak
collection PubMed
description The construction of industrial projects involves fabricating and installing massive quantities of pipelines. The design data of pipelines is complex, usually unique for each project and not easily available to researchers and the public for confidentiality reasons. As a result, an industrial pipelines data generator able to realistically simulate pipelines structures will lessen the dependence on real-life data. This article describes an industrial pipelines data generator that was developed using topological and physical properties of pipelines from real industrial projects. This generator can simulate the properties (the type of component, length, diameter, running direction, and the connectivity relationships between components) of real industrial pipelines. Its application in construction engineering and management research, more specifically in the experimental analysis of an optimization algorithm, was described by the authors in previous work [1]. The data generator can be used to develop benchmark problem instances for optimization problems and for simulation studies of construction operations in industrial projects.
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spelling pubmed-74907192020-09-21 Industrial pipelines data generator AL-Alawi, Mubarak Bouferguene, Ahmed Mohamed, Yasser Data Brief Data Article The construction of industrial projects involves fabricating and installing massive quantities of pipelines. The design data of pipelines is complex, usually unique for each project and not easily available to researchers and the public for confidentiality reasons. As a result, an industrial pipelines data generator able to realistically simulate pipelines structures will lessen the dependence on real-life data. This article describes an industrial pipelines data generator that was developed using topological and physical properties of pipelines from real industrial projects. This generator can simulate the properties (the type of component, length, diameter, running direction, and the connectivity relationships between components) of real industrial pipelines. Its application in construction engineering and management research, more specifically in the experimental analysis of an optimization algorithm, was described by the authors in previous work [1]. The data generator can be used to develop benchmark problem instances for optimization problems and for simulation studies of construction operations in industrial projects. Elsevier 2020-09-03 /pmc/articles/PMC7490719/ /pubmed/32964084 http://dx.doi.org/10.1016/j.dib.2020.106275 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
AL-Alawi, Mubarak
Bouferguene, Ahmed
Mohamed, Yasser
Industrial pipelines data generator
title Industrial pipelines data generator
title_full Industrial pipelines data generator
title_fullStr Industrial pipelines data generator
title_full_unstemmed Industrial pipelines data generator
title_short Industrial pipelines data generator
title_sort industrial pipelines data generator
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490719/
https://www.ncbi.nlm.nih.gov/pubmed/32964084
http://dx.doi.org/10.1016/j.dib.2020.106275
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AT boufergueneahmed industrialpipelinesdatagenerator
AT mohamedyasser industrialpipelinesdatagenerator