Mechanical Properties and Feasibility of GFRP from Decommissioned Large-Scale Wind Turbine Blades for Wave Energy Converter: A Case Study.
Y.-W. Li, J.-S. Lai, B.-Z. Zhou, and L. Cheng. Polymers, 18(7), 892, 2026. SCI Q1, IF=4.9.
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I am a M.Eng. student in Civil Engineering at South China University of Technology, Guangzhou, China.
My work is centered on offshore renewable energy systems, structural systems, and AI-driven engineering methods. I am especially interested in how advanced materials, floating wind turbines, wave energy converters, and data-driven modeling can support more resilient and sustainable infrastructure.
Research Interests: machine learning and structure-control co-design for offshore renewable energy systems, with a focus on floating wind turbines, wave energy converters, and full-lifecycle fatigue optimization.
Email: frankjslai@gmail.com
Mechanical Properties and Feasibility of GFRP from Decommissioned Large-Scale Wind Turbine Blades for Wave Energy Converter: A Case Study.
Y.-W. Li, J.-S. Lai, B.-Z. Zhou, and L. Cheng. Polymers, 18(7), 892, 2026. SCI Q1, IF=4.9.
Applications of Deep Reinforcement Learning in Optimization of Offshore Wind Power Operation and Maintenance.
Jinsheng Lai. ICEPET, 2026. [Paper]
Conducted material characterization of retired blade GFRP through mechanical testing and CT scanning, developed GFRP-duplex stainless steel bonded/bolted joint designs, and investigated an articulated multi-body wave energy converter through hydrodynamic simulation and wave tank testing.
CT Scanning, Mechanical Testing, Abaqus, AQWA, Wave Tank. Images: materials, testing, joint design, system.
Conducted fully coupled aero-hydro-servo-elastic simulations of semi-submersible floating wind turbine platforms, and developed a Deep Deterministic Policy Gradient based intelligent O&M framework for sequential decision-making, net revenue improvement, and fault reduction against baseline models.
AQWA, OpenFAST, Sesam, Python, DDPG.
Tested and evaluated the compressive behavior of 24 diverse 2D composite architectures, and proposed a comprehensive performance evaluation coefficient to screen for designs with superior specific energy absorption and specific strength.
3D Printing, Mechanical Testing.
Engineered a Multi-Layer Perceptron neural network with optimized activation functions and cross-entropy loss with backpropagation for automated Structural Health Monitoring.
Python, Neural Networks, SHM.
Investigated the energy dissipation mechanism of graded yield metal dampers in steel frame structures through modal decomposition response spectrum analysis and elastic time-history analysis across minor, moderate, and major earthquake scenarios.
SAP2000, Seismic Analysis.
Optimized coir-fiber-matrix compatibility through combined chemical modification, tested flexural strength, integrated a non-linear MATLAB prediction model, and used SEM analysis to study the fiber bridging toughening mechanism.
Lab Testing, MATLAB, SEM.