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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10647694 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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