Data-based hybrid reduced order modeling for vortex-induced nonlinear fluid–structure interaction at low Reynolds numbers

Gallardo, Daniele; Bevilacqua, Riccardo; Sahni, Onkar

doi:10.1016/j.jfluidstructs.2013.10.012

Cited by 8 publications

(3 citation statements)

References 33 publications

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“…Each POD mode may involve multiple processes, potentially making it difficult to interpret the underlying physical processes. DMD was originally developed to recognize coherent structures from turbulent flows and has been applied to other fields, including flow‐structure interaction (Gallardo et al, ), robotics (Berger et al, ), disease modeling (Proctor & Eckhoff, ), and Neural Activity Detection (Brunton et al, ). Following is a brief introduction of the DMD algorithm with an explanation of its application in tidal dynamics.…”

Section: Methodsmentioning

confidence: 99%

Interactions of Estuarine Shoreline Infrastructure With Multiscale Sea Level Variability

et al. 2017

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Sea level rise increases the risk of storms and other short‐term water‐rise events, because it sets a higher water level such that coastal surges become more likely to overtop protections and cause floods. To protect coastal communities, it is necessary to understand the interaction among multiday and tidal sea level variabilities, coastal infrastructure, and sea level rise. We performed a series of numerical simulations for San Francisco Bay to examine two shoreline scenarios and a series of short‐term and long‐term sea level variations. The two shoreline configurations include the existing topography and a coherent full‐bay containment that follows the existing land boundary with an impermeable wall. The sea level variability consists of a half‐meter perturbation, with duration ranging from 2 days to permanent (i.e., sea level rise). The extent of coastal flooding was found to increase with the duration of the high‐water‐level event. The nonlinear interaction between these intermediate scale events and astronomical tidal forcing only contributes ∼1% of the tidal heights; at the same time, the tides are found to be a dominant factor in establishing the evolution and diffusion of multiday high water events. Establishing containment at existing shorelines can change the tidal height spectrum up to 5%, and the impact of this shoreline structure appears stronger in the low‐frequency range. To interpret the spatial and temporal variability at a wide range of frequencies, Optimal Dynamic Mode Decomposition is introduced to analyze the coastal processes and an inverse method is applied to determine the coefficients of a 1‐D diffusion wave model that quantify the impact of bottom roughness, tidal basin geometry, and shoreline configuration on the high water events.

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Section: Methodsmentioning

confidence: 99%

Interactions of Estuarine Shoreline Infrastructure With Multiscale Sea Level Variability

et al. 2017

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“…The emphasis is here given to the control of VIV using fluid actuators. [17] applied POD, after several high-fidelity CFD analyses, in order to condense the information contained in the flow field into a limited set of modes. In [48,49] some of the authors of the present paper applied POD for parametrized model reduction of vortex shedding with a particular focus on pressure stabilisation at reduced order level.…”

Section: Cfd Modelsmentioning

confidence: 99%

A novel reduced order model for vortex induced vibrations of long flexible cylinders

2018

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In this manuscript the development of a reduced order model for the analysis of long flexible cylinders in an offshore environment is proposed. In particular the focus is on the modelling of the vortex induced vibrations (VIV) and the aim is the development of a model capable of capturing both the in-line and cross-flow oscillations. The reduced order model is identified starting from the results of a high fidelity solver developed coupling together a Finite Element Solver (FEM) with a Computational Fluid Dynamics (CFD) solver. The high fidelity analyses are conducted on a reduced domain size representing a small section of the long cylinder, which is nevertheless, already flexible. The section is forced using a motion which matches the expected motion in full scale, and the results are used for the system-parameter identification of the reduced order model. The reduced order model is identified by using a system and parameter identification approach. The final proposed model consists in the combination of a forced van der Pol oscillator, to model the cross-flow forces, and a linear state-space model, to model the in-line forces. The model is applied to study a full scale flexible model and the results are validated by using experiments conducted on a flexible riser inside a towing tank.

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“…The attractiveness of the POD method lies in the fact that it is a linear procedure and efficient in the design of robust feedback controllers leading to bettercontrolled airflow over aerofoils. Afterwards, much computational and experimental work has been performed by using this method to validate its effectiveness [6][7][8].…”

Section: Methodsmentioning

confidence: 99%

POD-Galerkin Based Reduced Order Modelling for Flow-Structure Interactions

Dong¹,

Ingham²,

Ma³

et al. 2021

Int J Astronaut Aeronautical Eng

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Fluid-structure interactions, especially full rotor simulations for wind turbines, are still computationally inefficient. Although the Proper Orthogonal Decomposition (POD) -Galerkin based Reduced Order Modelling (ROM) has become a popular tool to solve many fluid dynamics problems, most studies are limited to fluid flows in a fixed or infinite domain. The ROM, with either spatially or temporally adaptive snapshots, are still lacking in research, and in this paper, a POD-Galerkin based ROM for a FSI problem is proposed. The aim is to reduce the complexity of the costly solution techniques for solving the governing non-linear unsteady partial differential equations that govern the aerodynamic flows over fluid-solid systems with moving interfaces. This novel POD-based ROM is applied to several cases of plunging-pitching aerofoils as well as fluid-structure interaction simulations of a 3D vertical axis wind turbine full rotor simulation. For both applications, this model is shown to be very effective when performed with the proposed snapshot grids, thus reducing the computational cost while maintaining the same level of accuracy.

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Data-based hybrid reduced order modeling for vortex-induced nonlinear fluid–structure interaction at low Reynolds numbers

Cited by 8 publications

References 33 publications

Interactions of Estuarine Shoreline Infrastructure With Multiscale Sea Level Variability

Interactions of Estuarine Shoreline Infrastructure With Multiscale Sea Level Variability

A novel reduced order model for vortex induced vibrations of long flexible cylinders

POD-Galerkin Based Reduced Order Modelling for Flow-Structure Interactions

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