Výsledky vyhledávání - "Cardona, Jennifer L."

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Wind speed inference from environmental flow-structure interactions, part 2: leveraging unsteady kinematics

Autor: Cardona, Jennifer L., Dabiri, John O.

This work explores the relationship between wind speed and time-dependent structural motion response as a means of leveraging the rich information visible in flow-structure interactions for anemometry. We build on recent work by Cardona et al. (2021)

Externí odkaz: http://arxiv.org/abs/2107.09784

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Wind speed inference from environmental flow-structure interactions

Autor: Cardona, Jennifer L., Bouman, Katherine L., Dabiri, John O.

This study aims to leverage the relationship between fluid dynamic loading and resulting structural deformation to infer the incident flow speed from measurements of time-dependent structure kinematics. Wind tunnel studies are performed on cantilever

Externí odkaz: http://arxiv.org/abs/2011.09609

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Near-wake structure of full-scale vertical-axis wind turbines

Autor: Wei, Nathaniel J., Brownstein, Ian D., Cardona, Jennifer L., Howland, Michael F., Dabiri, John O.

Publikováno v: J. Fluid Mech. 914 (2021) A17

To design and optimize arrays of vertical-axis wind turbines (VAWTs) for maximal power density and minimal wake losses, a careful consideration of the inherently three-dimensional structure of the wakes of these turbines in real operating conditions

Externí odkaz: http://arxiv.org/abs/1912.10106

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Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network

Autor: Cardona, Jennifer L, Howland, Michael F, Dabiri, John O

Publikováno v: Advances in Neural Information Processing Systems 32 (2019)

Wind energy resource quantification, air pollution monitoring, and weather forecasting all rely on rapid, accurate measurement of local wind conditions. Visual observations of the effects of wind---the swaying of trees and flapping of flags, for exam

Externí odkaz: http://arxiv.org/abs/1905.13290

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