Work

An artificial intelligence-powered design strategy for offshore wind turbine monopiles

Year: 2025

Type: article

Source: Engineering Applications of Artificial Intelligence

DOI: 10.1016/j.engappai.2025.112909

Authors: Bence Kato, Ruizhi Huang, Gang Wang, Gang Wang, Ying Wang

Institutions: Shenzhen University, Harbin Institute of Technology, Hong Kong University of Science and Technology

Language: English

Topic: Geotechnical Engineering and Soil Mechanics

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy

Open Access status: closed

Funders: Natural Science Foundation of Shenzhen City, National Natural Science Foundation of China, Research Grants Council, University Grants Committee, Fellowships for Young International Scientists, Fundamental Research Funds for the Central Universities

Awards: G1770770456, G7894811251, G8476922409

OpenAlex ID: W4415735392

FWCI: 0.373

Cites: 54

Cited by: 1

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