Study on Wind-Induced Fatigue of UHV Transmission Tower-Line Coupled System in Hilly Terrain Wind Field
- DOI
- 10.2991/mmsa-18.2018.31How to use a DOI?
- Keywords
- hilly terrain wind field; UHV transmission tower; wind-induced fatigue; Speed-up ratio; turbulence intensity
- Abstract
Given the characteristics of hilly terrain wind field is radically distinct from flat terrain wind field due to the interference of hills, the existing calculation methods of flat terrain wind field cannot be adopted directly to conduct a study on the wind-induced response of ultra-high voltage (UHV) transmission tower with higher structure and larger span. In this paper, the effect of two types of mountainous terrains, which include eight different gradients and three different heights, is studied based on a wind tunnel test. The relevant modified formula of topographic effect is proposed considering the variance of mean speed ratio of wind speed and turbulence intensity, and the characteristics of average wind and fluctuating wind are obtained. Based on the proposed wind-field model and test data, a dynamic history analysis of UHV transmission tower-line coupled system is conducted by utilizing finite element theory. Meanwhile, a wind-induced fatigue computational method of UHV transmission tower is proposed combining with the joint distribution model and the linear fatigue cumulative damage rule.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Chuntao Zhang AU - Junjie Wang PY - 2018/03 DA - 2018/03 TI - Study on Wind-Induced Fatigue of UHV Transmission Tower-Line Coupled System in Hilly Terrain Wind Field BT - Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018) PB - Atlantis Press SP - 141 EP - 145 SN - 1951-6851 UR - https://doi.org/10.2991/mmsa-18.2018.31 DO - 10.2991/mmsa-18.2018.31 ID - Zhang2018/03 ER -