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

Cardona, Jennifer L. and Dabiri, John O. (2021) Wind speed inference from environmental flow-structure interactions, part 2: leveraging unsteady kinematics. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20220202-191858809

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Abstract

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), which presented an approach using mean structural bending. Here we present the amplitude of the dynamic structural sway as an alternative signal that can be used when mean bending is small or inconvenient to measure. A force balance relating the instantaneous loading and instantaneous deflection yields a relationship between the incident wind speed and the amplitude of structural sway. This physical model is applied to two field datasets comprising 13 trees of 4 different species exposed to ambient wind conditions. Model generalization to the diverse test structures is achieved through normalization with respect to a reference condition. The model agrees well with experimental measurements of the local wind speed, suggesting that tree sway amplitude can be used as an indirect measurement of mean wind speed, and is applicable to a broad variety of diverse trees.


Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription
http://arxiv.org/abs/2107.09784arXivDiscussion Paper
ORCID:
AuthorORCID
Dabiri, John O.0000-0002-6722-9008
Additional Information:This work was supported by the National Science Foundation (grant CBET-2019712). Author Contributions. Conceptualization: JLC; JOD. Methodology: JLC; JOD. Investigation: JLC. Software: JLC. Data analysis: JLC; JOD. Funding acquisition: JOD. Data Availability Statement. The data used in this work will be made available upon request. Supplementary Material. Additional information can be found in the supplementary material. The authors report no conflict of interest.
Group:GALCIT
Funders:
Funding AgencyGrant Number
NSFCBET-2019712
Subject Keywords:Flow imaging and velocimetry, optical based flow diagnostics, fluid-structure interactions
Record Number:CaltechAUTHORS:20220202-191858809
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20220202-191858809
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:113222
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:02 Feb 2022 23:38
Last Modified:02 Feb 2022 23:38

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