My work revolves around overcoming the inherent difficulties in model testing of floating wind turbines, such as the inability to simultaneously adhere to the Reynolds and Froude scaling rules. Through the innovative application of rapidly advancing artificial intelligence and predictive algorithms, I have spearheaded the development of an intelligent experimental platform.

This platform not only facilitates more accurate and efficient testing but also serves as the foundation for a data-driven integrated design framework I proposed. This framework aims to enhance the structural efficiency and reliability of floating wind turbines, pushing the boundaries of what is possible in renewable energy technology and contributing to the sustainable harnessing of wind power.