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Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
On validating predictions of plant motion in coupled biomechanical-flow models
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.
On validating predictions of plant motion in coupled biomechanical-flow models
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.
On validating predictions of plant motion in coupled biomechanical-flow models
Marjoribanks, Timothy I. (Autor:in) / Hardy, Richard J. (Autor:in) / Parsons, Daniel R. (Autor:in)
Journal of Hydraulic Research ; 53 ; 808-813
02.11.2015
6 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
On validating predictions of plant motion in coupled biomechanical-flow models
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