On validating predictions of plant motion in coupled biomechanical-flow models
Marjoribanks, T.I.; Hardy, R.J.; Parsons, D.R.
Professor Richard Hardy firstname.lastname@example.org
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.
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|
|Publisher||Taylor and Francis Group|
|Peer Reviewed||Peer Reviewed|
|Keywords||Biomechanics, Flow visualization and imaging, Large eddy simulations, Particle image velocimetry, Vegetated flows.|
Accepted Journal Article
This is an Accepted Manuscript of an article published by Taylor & Francis Group in Journal of Hydraulic Research on 20/11/2015, available online at: http://www.tandfonline.com/10.1080/00221686.2015.1110627.
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