Machine Learning-Based Partition Method for Cyclic Development Mode of Submarine Soil Martials from Offshore Wind Farms

Machine Learning-Based Partition Method for Cyclic Development Mode of Submarine Soil Martials from Offshore Wind Farms

Offshore wind turbines are subjected to long-term cyclic loads, and the seabed materials surrounding the foundation are susceptible to failure, which affects the safe construction and normal operation of offshore wind turbines. The existing studies of the cyclic mechanical properties of submarine so...

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Bibliographic Details
Main Authors: Ben He, Mingbao Lin, Zhishuai Zhang, Bo Han, Xinran Yu
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Journal of Marine Science and Engineering
Subjects:
offshore wind farms
submarine soil
hysteresis loop
machine learning
partition method
Online Access:https://www.mdpi.com/2077-1312/13/3/533
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