Evolutionary-based framework for practical prediction of offshore wind turbine natural frequency considering soil-structure interaction. [PDF]
Abbasi S, Pirouz M, Masoodi AR.
europepmc +1 more source
Green swans and blue skies: Climate change and insolvency risk for financial institutions
Abstract This lecture in honour of the late Gabriel Moss QC and Ian Fletcher QC examines the challenge of climate‐related financial risk. Prudential regulators and central banks recognize that the systemic nature of climate‐related financial risk makes it an emerging vulnerability relevant to cross‐border insolvency resolution.
Janis Sarra
wiley +1 more source
Multiclass Dataset for Intelligent Detection of Wind Turbine Blade Defects Using Drone Imagery. [PDF]
Ji L, Cheng J, Wu S.
europepmc +1 more source
3D‐Printed Models in Oral Surgery Simulation Training: A Scoping Review
ABSTRACT Background Advancements in three‐dimensional (3D) printing have introduced innovative tools for medical and dental education. In dental surgery, 3D‐printed simulation models offer valuable presurgical training. This review explores the scope, study types, key findings, limitations, and future research needs to enhance their application in ...
Shahrzad Rahimizadeh Nahavandi +5 more
wiley +1 more source
Infrasonic acoustic energy produced by offshore wind turbine energy generation may interfere with bird and cetacean navigation cues. [PDF]
Stocker M.
europepmc +1 more source
Sustainable Metal Recovery From E‐Waste: Exploring Greener Leachates in Hydrometallurgical Processes
Recycling of electronic waste to synthesize valuable metals using green leachate. ABSTRACT The accumulation of electronic waste (e‐waste) poses environmental hazards and leads to the loss of valuable metals such as gold, silver, copper, and rare earth elements.
Shassatha Paul Saikat +4 more
wiley +1 more source
CEA-DETR: A Multi-Scale Feature Fusion-Based Method for Wind Turbine Blade Surface Defect Detection. [PDF]
Luo X, Wang R, Zhang J, Zeng J, Cai X.
europepmc +1 more source
Dual‐phase γ‐TiAl alloys with refined twin‐lamellar (RTL) structures exhibit optimal strength‐ductility synergy. Here, phase‐field simulations reveal composition‐stress‐dependent refined twin‐lamellar (RTL) microstructure evolution. Machine learning (CatBoost + NSGA‐III) trained on phase‐field images predicts optimal RTL‐stress‐composition design space.
Jianwei Li +8 more
wiley +1 more source
Review of Non-Destructive Testing for Wind Turbine Bolts. [PDF]
Sun H +8 more
europepmc +1 more source
Vibration Attenuation of Cantilever Beam Using Electromagnetic Delayed Feedback
ABSTRACT This study presents a combined analytical and numerical investigation of a single‐input single‐output delayed feedback controller designed to suppress vibrations in a cantilever beam actuated by an electromagnet positioned beneath its free end. An analytical model was developed using the linearized equation of motion for a transversely excited
Mohammad Alabdullah, Khaled Alhazza
wiley +1 more source

