Your browser doesn't support javascript.
loading
Wind Field Digital Twins Sandbox System for Transmission Towers.
Zhang, Chenshuo; Li, Yunpeng; Feng, Chun; Zhang, Yiming.
Afiliação
  • Zhang C; School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China.
  • Li Y; School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China.
  • Feng C; Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190, China.
  • Zhang Y; School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China.
Sensors (Basel) ; 23(21)2023 Oct 24.
Article em En | MEDLINE | ID: mdl-37960357
ABSTRACT
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.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China