Recycling of both resin and fibre from wind turbine blade waste via small molecule-assisted dissolution. [PDF]
Muzyka R +4 more
europepmc +1 more source
Cold Climate Wind: Challenges, Technological Solutions and Policy
Operating wind farms in cold climates creates unique challenges for turbine designers, owners, and operators. Solving these challenges requires specific technological and policy solutions at all levels. ABSTRACT Cold‐climate wind power represents a major subset of onshore global capacity, with approximately one third of existing installations located ...
Timo Karlsson +7 more
wiley +1 more source
Numerical and experimental investigation on aeroelasticity of wind turbine blade with biological airfoil and V‑stripe web. [PDF]
Chen K +6 more
europepmc +1 more source
Savonius wind turbine blade design and performance evaluation using ANN-based virtual clone: A new approach. [PDF]
Al Noman A +6 more
europepmc +1 more source
Abstract In this study, a comprehensive analytical framework is developed to investigate the free vibration behavior of double‐walled carbon nanotubes (DWCNTs) resting on an elastic foundation, based on Eringen's nonlocal elasticity theory. The DWCNTs are modeled as two coupled Euler–Bernoulli (EB) beams, explicitly incorporating intertube van der ...
Ayşegül Tepe
wiley +1 more source
Research on Gait Planning for Wind Turbine Blade Climbing Robots Based on Variable-Cell Mechanisms. [PDF]
Lu H, Wang G, Zhang W, Shao M, Shi X.
europepmc +1 more source
Fault Detection for Wind Turbine Blade Bolts Based on GSG Combined with CS-LightGBM. [PDF]
Tang M +6 more
europepmc +1 more source
ABSTRACT A multiaxial creep testing technique using a weld‐type miniature cruciform specimen was developed to evaluate the creep properties and rupture life of Super 304H austenitic stainless steel at 973 K (700°C). The cruciform specimen was designed to achieve a plane stress state and overcome material dimensional limitations.
Noritake Hiyoshi, Shengde Zhang
wiley +1 more source
Multimodal dataset for wind turbine blade monitoring during lightning strikes. [PDF]
Li T +5 more
europepmc +1 more source
Image Recognition of Wind Turbine Blade Defects Using Attention-Based MobileNetv1-YOLOv4 and Transfer Learning. [PDF]
Zhang C, Yang T, Yang J.
europepmc +1 more source

