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Random Forest-Based Prediction Model for Stiffness Degradation of Offshore Wind Farm Submarine Soil

Ben He; Mingbao Lin; Xinran Yu; Zhishuai Zhang; Song Dai
Journal of Marine Science and Engineering · Vol. 13, Issue 1 · pp. 8 · 2024

Abstract

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 degradation. The accurate disclosure of the mechanical properties of marine soil is critical to the safety and stability of the foundation structure of offshore wind turbines. The stiffness degradation laws of mucky clay and silt clay from offshore wind turbines were firstly investigated in the study. Experiments found that the variations in the elastic modulus presented “L-type” attenuation under small cyclic loads, and the degradation coefficient fleetingly decayed to the strength progressive line under large cyclic loads. Based on the experimental results, a random forest prediction model for the elastic modulus of the submarine soil was established, which had high prediction accuracy. The influence of testing the loading parameters of the submarine soil on the prediction results was greater than that of the soil’s physical property parameters. In criticality, the CSR had the greatest impact on the prediction results. This study provides a more efficient method for the stiffness degradation assessment of submarine soil materials in offshore wind farms.

Bibliographic Information

JournalJournal of Marine Science and Engineering
PublisherMDPI
Publication Date2024-12-24
Publication Year2024
Volume13
Issue1
Pages8
Document TypeJournal Article
eISSN2077-1312
DOI10.3390/jmse13010008
SubjectMarine science; oceanography; marine engineering; coastal science; marine environment

Access Information

NARA Access CoverageOA / free full text
Journal Homepagehttps://www.mdpi.com/journal/jmse
Publisher PageOpen Publisher Page
This article is openly available from the publisher.