Results 121 to 130 of about 7,443 (260)
PSPP‐TRL mapping of CNT‐modified CFRP literature, with four recurring confusions resolved and five scale‐up problems quantified. ABSTRACT Carbon nanotube‐modified fiber composites are often presented as a route to stronger, tougher, and self‐sensing structural materials.
Sanan H. Khan
wiley +1 more source
Increasing extreme winds challenge offshore wind energy resilience. [PDF]
Zhao Y, Tao Y, Chen Y, Yan J, Zeng Z.
europepmc +1 more source
Characterisation of glass fibre reinforced acrylic with acrylic‐tailored or multi‐compatible sizing agents. ABSTRACT Fiber‐reinforced infusible acrylic monomer resins are of interest as recyclable alternatives to epoxy and other thermoset resin composites, but the novelty of these resins causes published studies on acrylic‐matrix composites to often ...
Machar Devine +3 more
wiley +1 more source
Guiding Elements for Strengthening Cumulative Impact Assessment Regulations for Offshore Wind Energy. [PDF]
Dibo APA +4 more
europepmc +1 more source
Hydrolytic aging in seawater produces markedly different mechanical responses among commercial Aramid fibers. While some fibers exhibit progressive degradation, others maintain stable or even improved tensile behavior. Experimental yarn‐scale testing combined with mathematical degradation modeling and Arrhenius‐based lifetime prediction provides new ...
Daniel Magalhães da Cruz +6 more
wiley +1 more source
Mapping the value of commercial fishing and potential costs of offshore wind energy on the U.S: West Coast: Towards an assessment of resource use tradeoffs. [PDF]
Feist BE +9 more
europepmc +1 more source
Polar‐low track prediction using machine‐learning methods
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang +4 more
wiley +1 more source
Machine learning for modeling North Atlantic right whale presence to support offshore wind energy development in the U.S. Mid-Atlantic. [PDF]
Ji J +4 more
europepmc +1 more source
Near‐resonant excitation of the Adriatic barotropic modes: The seiche events of December 2019
This study examines severe flooding in the northern Adriatic Sea in December 2019, which existing forecasting systems failed to predict. Analysis of wind and sea‐level data, alongside reanalysis datasets and a high‐resolution hydrodynamic model, revealed a wind‐induced resonance mechanism.
Marco Bajo +3 more
wiley +1 more source
Wind-Speed-Adaptive Resonant Piezoelectric Energy Harvester for Offshore Wind Energy Collection. [PDF]
Wu W +8 more
europepmc +1 more source

