3D numerical simulation of seagrass movement under waves and currents with GPUSPH

Paquier, Anne Eléonore; Oudart, Thibault; Bouteiller, Caroline Le; Meulé, Samuel; Larroudé, Philippe; Dalrymple, Robert A.

doi:10.1016/j.ijsrc.2020.08.003

Cited by 17 publications

(7 citation statements)

References 55 publications

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“…Numerical models, on the other hand, are a good alternative that can test a wide range of parameters within controlled environments and offer an in-depth view over the kinematics and dynamics. Numerical methods used in simulating wave-vegetation interaction can be classified into four main categories, characterized by: (i) using a porous medium (Hadadpour et al, 2019;Zinke, 2012); (ii) tuning the bed roughness factor (Chen et al, 2007;Augustin et al, 2009); (iii) using the drag force approach (Suzuki et al, 2019;Dalrymple et al, 1984); and (iv) modeling the flexibility using a structural solver (Paquier et al, 2021;Chen and Zou, 2019;Mattis et al, 2019;Yin et al, 2021;Zhu et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Kutija and Hong (1996) were among the first researchers to represent flexible vegetation using the cantilever beam theory. Several other papers have applied a similar principle to capture the vegetation flexibility by resolving the motion using structural solvers (Marjoribanks and Paul, 2022;Marjoribanks et al, 2014;Mattis et al, 2019;Brzenski and Davis, 2021;Mullarney and Henderson, 2010;Luhar and Nepf, 2016;Zeller et al, 2014;Paquier et al, 2021;Zhu et al, 2020;Yin et al, 2021). These models provide an accurate method to account for energy dissipation (e.g., simulating flexible vegetation with SWAN Yin et al, 2021), and they can also be applied to study the dynamics of a single blade under waves (e.g., Luhar and Nepf, 2016;Zhu et al, 2020) and combined wave-current systems (e.g., Zhu et al, 2020;Zeller et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…It is in such conditions that Lagrangian solvers become advantageous over conventional mesh-based approaches. In fact, the Smoothed Particle Hydrodynamics (SPH) method (Monaghan, 1992) has been recently developed into well-established solvers for fluidelastic structure interactions (FSI) dealing with violent flows impacting structures (e.g., flexible vegetation Paquier et al, 2021, hydro elastic slamming Khayyer et al, 2018. By definition, such models exclusively employ the SPH method to resolve the fluid flow, whereas the kinematics of the solid particles are solved by either using an SPH formulation or a mesh-based approach.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Numerical investigation of wave-induced flexible vegetation dynamics in 3D using a coupling between DualSPHysics and the FEA module of Project Chrono

et al. 2023

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Numerical investigation of wave-induced flexible vegetation dynamics in 3D using a coupling between DualSPHysics and the FEA module of Project Chrono

et al. 2023

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“…Such experimentally determined coefficients are vital in the calibration and validation of hydrodynamic numerical models (e.g. Paquier et al, 2021). However, without information on the distribution and structure of the seagrass meadows, numerical models may be inaccurate in reproducing the actual coastal processes, as explained by Escudero et al (2021).…”

Section: Introductionmentioning

confidence: 99%

Mapping the structure of mixed seagrass meadows in the Mexican Caribbean

et al. 2022

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The physical and ecological importance of seagrass meadows in coastal processes is widely recognized, and the development of tools facilitating characterization of their structure and distribution is important for improving our understanding of these processes. Mixed (multi-specific) meadows in a Mexican Caribbean reef lagoon were mapped employing a multiparameter approach, using PlanetScope remote sensing images, and supervised classification based on parameters related to the structure of the seagrasses meadows, including the cover percentages of seagrass/algae/sediment, algae thalli and seagrass shoot densities, canopy heights and estimated leaf area index (LAI). The cover, seagrass and algae densities, and seagrass canopy heights were obtained using ground truth sampling, while the LAI was estimated using data obtained from long-term monitoring programs. The maps do not show the differentiation of seagrass species, but ground truthing contemplated characterization of the density of Thalassia testudinum, Syringodium filiforme and Halodule wrightii and their respective LAIs. S. filiforme was the dominant species in terms of shoot density, and T. testudinum was dominant in terms of LAI. In the multiparameter-based map four classes were defined, based on the cover and structural characteristics, and its overall accuracy was very high (~90%). Maps based on sediment cover and LAI alone also had 4 classes, but they were less accurate than the multiparameter-based map (~70% and ~80%, respectively). The multiparameter-based seagrass map provided spatially-explicit data on the abundance and structure of seagrasses, useful for future monitoring of the changes in the meadows, and also for studies of that require data of large-scale meadow structure, such as inventories of associated biota, blue carbon storage, or modelling of the local hydrodynamics.

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“…The differences of flow properties were identified, compared to the cases with homogeneous floodplain vegetation. As a new approach, Smoothed Particle Hydrodynamics (SPH) was applied to simulate the seagrass movement under waves and currents [18]. The SPH model was also successfully applied to simulate the flow characteristics in turbulent open channel flows through the porous bed with rough interfacial boundaries [19].…”

Section: Introductionmentioning

confidence: 99%

Large Eddy Simulation of Compound Open Channel Flows with Floodplain Vegetation

Zeng

Bai

Zhou

et al. 2022

Water

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Floodplain vegetation is of great importance in velocity distribution and turbulent coherent structure within compound open channel flows. As the large eddy simulation (LES) technique can provide detailed instantaneous flow dynamics and coherent turbulent structure predictions, it is of great importance to perform LES simulations of compound open channel flows with floodplain vegetation. In the present study, a wall-modeled large eddy simulation (WMLES) method was employed to simulate the compound open channel flows with floodplain vegetation. The vegetation-induced resistance effect was modeled with the drag force method. The WMLES model, incorporating the drag force method, was verified against flume measurements and an analytical solution of vegetated open channel flows. Numerical simulations were conducted with a depth ratio of 0.5 and four different floodplain vegetation densities (frk = 0, 0.28 m−1, 1.13 m−1 and 2.26 m−1). The main flow velocity, secondary flow, bed shear stress and vortex coherent structure, based on the Q criterion, were obtained and analyzed. Based on the numerical results, the influences of floodplain vegetation density on the flow field and turbulent structure of compound open channel flows were summarized and discussed. Compared to the case without floodplain vegetation, the streamwise velocity in the main channel increased by 10.8%, 19.9% and 24.4% with the frk = 0.28 m−1, 1.13 m−1 and 2.26 m−1, respectively. The results also indicated that, when the floodplain vegetation density increased, the following occurred: the velocity increased in the main channel, while the velocity decreased in the floodplain; the transverse momentum exchange was enhanced; and the strip structures were more concentrated near the junction area of compound open channel flows.

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3D numerical simulation of seagrass movement under waves and currents with GPUSPH

Cited by 17 publications

References 55 publications

Numerical investigation of wave-induced flexible vegetation dynamics in 3D using a coupling between DualSPHysics and the FEA module of Project Chrono

Numerical investigation of wave-induced flexible vegetation dynamics in 3D using a coupling between DualSPHysics and the FEA module of Project Chrono

Mapping the structure of mixed seagrass meadows in the Mexican Caribbean

Large Eddy Simulation of Compound Open Channel Flows with Floodplain Vegetation

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