Results 121 to 130 of about 7,443 (260)

A Review of Mechanical Reinforcement and Piezoresistive Self‐Sensing in Carbon Nanotube Fiber Composites

open access: yesPolymer Composites, EarlyView.
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

Role of Fiber Sizing in Interfacial Relaxation, Water Uptake and Fatigue Properties of Acrylic‐Matrix Composites

open access: yesPolymer Composites, EarlyView.
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

Experimental and Modeling Investigation of Seawater Hydrolysis Effects on Aramid Fiber Rupture Behavior

open access: yesJournal of Polymer Science, EarlyView.
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]

open access: yesPLoS One
Feist BE   +9 more
europepmc   +1 more source

Polar‐low track prediction using machine‐learning methods

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
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

Near‐resonant excitation of the Adriatic barotropic modes: The seiche events of December 2019

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
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

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