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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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. |
format | Online Article Text |
id | pubmed-7490719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT alalawimubarak industrialpipelinesdatagenerator AT boufergueneahmed industrialpipelinesdatagenerator AT mohamedyasser industrialpipelinesdatagenerator |