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Wind Field Digital Twins Sandbox System for Transmission Towers

Given the digitalization trends within the field of engineering, we propose a practical approach to engineering digitization. This method is established based on a physical sandbox model, camera equipment and simulation technology. We propose an image processing modeling method to establish high-pre...

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Detalles Bibliográficos
Autores principales: Zhang, Chenshuo, Li, Yunpeng, Feng, Chun, Zhang, Yiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647694/
https://www.ncbi.nlm.nih.gov/pubmed/37960357
http://dx.doi.org/10.3390/s23218657
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author Zhang, Chenshuo
Li, Yunpeng
Feng, Chun
Zhang, Yiming
author_facet Zhang, Chenshuo
Li, Yunpeng
Feng, Chun
Zhang, Yiming
author_sort Zhang, Chenshuo
collection PubMed
description Given the digitalization trends within the field of engineering, we propose a practical approach to engineering digitization. This method is established based on a physical sandbox model, camera equipment and simulation technology. We propose an image processing modeling method to establish high-precision continuous mathematical models of transmission towers. The calculation of the wind field is realized by using wind speed calculations, a load-wind-direction-time algorithm and the Continuum-Discontinuum Element Method (CDEM). The sensitivity analysis of displacement- and acceleration-controlled transmission tower loads under two different wind direction conditions is conducted. The results show that the digital model exhibits a proportional relationship with the physical dimensions of the transmission tower model. The error between the numerical simulation results and the experimental results falls within a reasonable range. Nodes at higher positions of the transmission tower experience significantly higher forces compared to those at lower positions, and the structural forms with larger windward projected areas yield similar simulation results. The proposed digital twin system can help monitor the performance of structural bodies and assess the disaster degree in extreme conditions. It can guide specific maintenance and repair tasks.
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spelling pubmed-106476942023-10-24 Wind Field Digital Twins Sandbox System for Transmission Towers Zhang, Chenshuo Li, Yunpeng Feng, Chun Zhang, Yiming Sensors (Basel) Article Given the digitalization trends within the field of engineering, we propose a practical approach to engineering digitization. This method is established based on a physical sandbox model, camera equipment and simulation technology. We propose an image processing modeling method to establish high-precision continuous mathematical models of transmission towers. The calculation of the wind field is realized by using wind speed calculations, a load-wind-direction-time algorithm and the Continuum-Discontinuum Element Method (CDEM). The sensitivity analysis of displacement- and acceleration-controlled transmission tower loads under two different wind direction conditions is conducted. The results show that the digital model exhibits a proportional relationship with the physical dimensions of the transmission tower model. The error between the numerical simulation results and the experimental results falls within a reasonable range. Nodes at higher positions of the transmission tower experience significantly higher forces compared to those at lower positions, and the structural forms with larger windward projected areas yield similar simulation results. The proposed digital twin system can help monitor the performance of structural bodies and assess the disaster degree in extreme conditions. It can guide specific maintenance and repair tasks. MDPI 2023-10-24 /pmc/articles/PMC10647694/ /pubmed/37960357 http://dx.doi.org/10.3390/s23218657 Text en © 2023 by the authors. 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
Zhang, Chenshuo
Li, Yunpeng
Feng, Chun
Zhang, Yiming
Wind Field Digital Twins Sandbox System for Transmission Towers
title Wind Field Digital Twins Sandbox System for Transmission Towers
title_full Wind Field Digital Twins Sandbox System for Transmission Towers
title_fullStr Wind Field Digital Twins Sandbox System for Transmission Towers
title_full_unstemmed Wind Field Digital Twins Sandbox System for Transmission Towers
title_short Wind Field Digital Twins Sandbox System for Transmission Towers
title_sort wind field digital twins sandbox system for transmission towers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10647694/
https://www.ncbi.nlm.nih.gov/pubmed/37960357
http://dx.doi.org/10.3390/s23218657
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