Results 181 to 190 of about 203,019 (292)

Scour‐Conditioned Seismic Fragility Analysis of Monopile‐Supported Offshore Wind Turbines

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Monopile‐supported offshore wind turbines (MS‐OWTs) are increasingly deployed in seismic coastal regions, where they face compound risks from earthquake loading and seabed scour. While past studies have addressed these hazards separately, seismic fragility under evolving scour conditions remains insufficiently understood. This study introduces
Francisco Pinto   +3 more
wiley   +1 more source

Behavior of Long‐Slotted Perforated Steel Plate Fuses in Timber Brace End Connections

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Steel perforated plate fuses have emerged as a promising solution for mass timber seismic force‐resisting systems, offering tunable energy dissipation mechanisms, such as flexural and shear yielding, through geometric adjustments. This study examines the cyclic performance of perforated steel plate fuses employed in timber braced frames, with ...
Yahia Ahmed   +2 more
wiley   +1 more source

Failure Mechanism of Asymmetric Large Deformations Under Repeated Mining in Roadways

open access: yesEnergy Science &Engineering, EarlyView.
Principal stress‐evolution diagram at different advance positions of 42205 working face. ABSTRACT To address the challenge of controlling severe asymmetrical deformation in roadways subjected to repeated mining, this study (i.e., based on the engineering context of the Buertai Coal Mine) investigated the characteristics of the regional stress field in ...
Ai‐Rong Wang   +3 more
wiley   +1 more source

Health disparities; is there progress? [PDF]

open access: yesAm J Prev Cardiol
Yancy CW, Johnson HM.
europepmc   +1 more source

Performance Monitoring of Photovoltaic Modules Using Machine‐Learning‐Based Solutions: A Survey of Current Trends

open access: yesEnergy Science &Engineering, EarlyView.
The graphical abstract presents the concept of applying machine‐learning algorithms to assess the performance of photovoltaic modules. Data from solar panels are fed to surrogates of intelligent models, to assess the following performance metrics: identifying faults, quantifying energy production and trend degradation over time. The combination of data
Nangamso Nathaniel Nyangiwe   +3 more
wiley   +1 more source

Tomtit‐Raven Evolutionary Selector‐Reinforced Attention‐Driven: A High‐Performance and Computationally Efficient Cyber Threat Detection Framework for Smart Grids

open access: yesEnergy Science &Engineering, EarlyView.
Overview of the proposed work. ABSTRACT Identifying cyber threats maintains the security and operational stability of smart grid systems because they experience escalating attacks that endanger both operating data reliability and system stability and electricity grid performance.
Priya R. Karpaga   +3 more
wiley   +1 more source

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