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On validating predictions of plant motion in coupled biomechanical-flow models

Marjoribanks, T.I.; Hardy, R.J.; Parsons, D.R.

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Authors

T.I. Marjoribanks

D.R. Parsons



Abstract

Recent developments in integrated biomechanical-flow models have enabled the prediction of the influence of vegetation on the flow field and associated feedback processes. However, to date, such models have only been validated on the hydraulic predictions and/or mean plant position. Here we introduce an approach where dynamic surrogate plant motion, measured directly in flume experiments, is used to allow a validation approach capable of assessing the accuracy of time-dependent flow–vegetation interaction within a numerical model. We use this method to demonstrate the accuracy of an existing Euler–Bernoulli beam model in predicting both mean and dynamic plant position through time and space.

Citation

Marjoribanks, T., Hardy, R., & Parsons, D. (2015). On validating predictions of plant motion in coupled biomechanical-flow models. Journal of Hydraulic Research, 53(6), 808-813. https://doi.org/10.1080/00221686.2015.1110627

Journal Article Type Article
Acceptance Date Oct 8, 2015
Publication Date Nov 20, 2015
Deposit Date Oct 9, 2015
Publicly Available Date Nov 20, 2016
Journal Journal of Hydraulic Research
Print ISSN 0022-1686
Electronic ISSN 1814-2079
Publisher Taylor and Francis Group
Peer Reviewed Peer Reviewed
Volume 53
Issue 6
Pages 808-813
DOI https://doi.org/10.1080/00221686.2015.1110627
Keywords Biomechanics, Flow visualization and imaging, Large eddy simulations, Particle image velocimetry, Vegetated flows.
Public URL https://durham-repository.worktribe.com/output/1400781

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