Study on the Seismic Performance of Jacket-Type Offshore Wind Turbines Based on Self-Resetting Buckling-Restrained Brace
- DOI
- 10.2991/978-94-6463-793-9_6How to use a DOI?
- Keywords
- Self-Resetting Buckling-Restrained Brace; Offshore Wind Turbine Jacket; Seismic Performance
- Abstract
Offshore wind power, as a core technology of renewable energy, faces dual challenges from wind loads and seismic forces. Due to their high flexibility and structural complexity, jacket-type offshore wind turbine structures are particularly vulnerable to seismic forces. This paper employs finite element time-history analysis to establish a finite element model of a jacket-type wind turbine, analyzing the dynamic response characteristics of different turbine structures under various seismic conditions. The results indicate that the Self-Resetting Buckling-Restrained Brace (SCBRB) system can significantly improve the seismic performance of jacket structures, reducing both peak displacement and residual deformation. The findings provide new theoretical foundations and engineering references for the seismic design of offshore wind turbines.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Binlei Wang AU - Xiaotian Jiang PY - 2025 DA - 2025/07/28 TI - Study on the Seismic Performance of Jacket-Type Offshore Wind Turbines Based on Self-Resetting Buckling-Restrained Brace BT - Proceedings of the 2025 8th International Conference on Traffic Transportation and Civil Architecture (ICTTCA 2025) PB - Atlantis Press SP - 55 EP - 64 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-793-9_6 DO - 10.2991/978-94-6463-793-9_6 ID - Wang2025 ER -