Numerical Modelling Data for Paper: Modelling Vegetation as Complex Structures in Fluid-Filament Interaction using the Elastically- Articulated Body Method

This dataset keeps model prediction and performance data, relevant to a paper submitted Dickinson et al to the Journal of Fluids and Structures in 2024, titled "Modelling Vegetation as Complex Structures in Fluid-Filament Interaction using the Elastically- Articulated Body Method".

speedtests stores computation times for various segment counts in the EABM

linear_beam_analysis stores the deflections, frequencies, mode shapes, and FRF of a 2D beam as predicted by the EABM.

heterogeneous_stem_reconfigurations stores the postures and loads of the reconfigured heterogenous plastic strips as predicted by the EABM.

silicon_wave_oscillations stores postures over 1 wave cycle for the silicon strip simulation in the EABM

wytham_trees stores strains and frequencies predicted by the EABM for the trees dataset

The data is also supplied in CSV format.

Article abstract:

Fluid structure interactions in the built and natural environment commonly involve complex, heterogeneous structures. For example, terrestrial and aquatic vegetation species are morphologically complex, which is a factor not fully captured in many models used to understand important flow-vegetation dynamics. In this study we develop and validate a multi-body method for modelling fluid interaction with slender structures (‘filaments’) in complex assemblies. This work uses Featherstone’s Articulated Body Algorithm to permit 3D simulation of connected assemblies of filaments. It includes development of an elasticity model for filament bending at large angles and a novel multi-body method for simulating the added mass effect. The model’s capabilities are validated through comparison with linear beam dynamics and three experimental studies of fluid-filament interaction from the literature. These are (1) flow-induced reconfiguration of heterogeneous and curved filaments, (2) resonance and flow-induced reconfiguration of filament assemblies and (3), wave-induced dynamics of a filament with added mass. The model is shown to be competitively accurate with existing filament dynamics models while extending modelling capability to multi-stem assemblages. Results from the model application demonstrate the importance of representing complex morphologies for accurately predicting flow-vegetation interactions.

©The Authors, CC BY 4.0