| Reference : Toward fluid-structure-piezoelectric simulations applied to flow-induced energy harvesters |
| Scientific congresses, symposiums and conference proceedings : Poster | |||
| Engineering, computing & technology : Mechanical engineering | |||
| Computational Sciences | |||
| http://hdl.handle.net/10993/41874 | |||
| Toward fluid-structure-piezoelectric simulations applied to flow-induced energy harvesters | |
| English | |
Hoareau, Christophe  [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >] | |
| Shang, Lan [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >] | |
| Zilian, Andreas [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >] | |
| 15-Nov-2019 | |
| A0 | |
| No | |
| National | |
| Journées Jeunes Chercheurs en vibrations, Acoustique et Bruit 2019 (JJCAB 2019) | |
| from 14-11-2019 to 15-11-2019 | |
| femto-st | |
| Besançon | |
| France | |
| [en] Energy harvesting ; Fluid-structure interaction ; FEniCS | |
| [en] The subject deals with the simulation of flow-induced energy harvesters. We focus in particular on the modelling of autonomous piezo-ceramic power generators to convert ambient fluid-flow energy into electrical energy. The vibrations of an immersed electromechanical structure with large amplitude have to be taken into account in that case. One challenge consists in modelling and predicting the nonlinear coupled dynamic behaviour for the improved design of such devices. The set of governing equations is expressed in integral form, using the method of weighted residuals, and discretized with finite elements using the
open source package FEniCS. Preliminary results of separated problems using FEniCS will be detailed and discussed (e.g. Navier-Stokes with or without moving meshes, nonlinear elasticity, aeroelasticity and electromechanical coupling). The objective is to validate each problem independently before coupling all the phenomena in a monolithic framework. Those simulations involve nonlinearities at many levels of modeling. The perspective of using reduced order models to limit the computational cost (in time and memory) will be discussed in an outlook to this work. | |
| Researchers ; Professionals ; Students | |
| http://hdl.handle.net/10993/41874 |
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