Random Forest-Based Prediction Model for Stiffness Degradation of Offshore Wind Farm Submarine Soil
Offshore wind power is a hot spot in the field of new energy, with foundation construction costs representing approximately 30% of the total investment in wind farm construction. Offshore wind turbines are subjected to long-term cyclic loads, and seabed materials are prone to causing stiffness degra...
Saved in:
Main Authors: | Ben He, Mingbao Lin, Xinran Yu, Zhishuai Zhang, Song Dai |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-12-01
|
Series: | Journal of Marine Science and Engineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-1312/13/1/8 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Study on the Siting of Offshore Wind Farms and Prospects for Future Development
by: Zhichuan LI, et al.
Published: (2025-01-01) -
Offshore Wind Farm Layout Optimization Considering the Power Collection System Cost
by: S. G. Obukhov, et al.
Published: (2022-08-01) -
Evaluation of the influence of offshore wind farm noise on the fishes and dolphins in the Pearl River Estuary
by: Zhongchang Song, et al.
Published: (2025-01-01) -
Optimization Method for Centralized Transmission of Offshore Wind Power from Multiple Wind Farms
by: Sheng LIU
Published: (2025-01-01) -
Seismic Interferometry for Single-Channel Data: A Promising Approach for Improved Offshore Wind Farm Evaluation
by: Rui Wang, et al.
Published: (2025-01-01)