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The project

The META-FORET project is a large-scale wave manipulation with a multidisciplinary approach devised by a team composed of physicists, geophysicists and engineers.
The goal of the META-FORET project is to demonstrate that metamaterial physics that are classically observed at small scale in optics or acoustics as a way to cancel or bend waves can exist at the very large scale in geophysics.

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What is the META-FORET project?

The META-FORET project is a large-scale wave manipulation with a multidisciplinary approach devised by a team composed of physicists, geophysicists and engineers. The goal of the META-FORET project is to demonstrate that metamaterial physics that are classically observed at small scale in optics or acoustics as a way to cancel or bend waves can exist at the very large scale in geophysics.
In practice, the goal of the META-FORET project is to achieve two ambitious and novel experiments (...)

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Links

Videos on seismic metamaterials
Data available
PowerPoint presentation

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Videos on seismic metamaterials

Surface wave interacting with resonating trees
The propagation of seismic waves in a 2D halfspace is a well-known problem in numerical seismology and modeled by solving the P- SV elastic wave equation (P: Primary or compressional wave, SV: vertically polarized shear or Secondary wave), but its coupling with resonating tree-like elements is rather unusual. The accuracy of the method has been thoroughly tested using plate and rods as input model and it has delivered excellent results. The (...)

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META-FORET data available !

DATA available for Academic Research
Each data set proposed below may be quite large. Be aware that the download could last a certain amount of time. The data come in Matlab format with one or a few codes to read / plot the data. There is also a Readme file and some pictures that explains very shortly the acquisition set-up and, sometimes, one scientific paper that was published from this data set.
The idea is to promote collaborative research. Of course, you can download the data and (...)

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