{"id":17481,"date":"2024-10-16T15:51:18","date_gmt":"2024-10-16T13:51:18","guid":{"rendered":"https:\/\/navier-lab.fr\/?page_id=17481"},"modified":"2024-10-16T15:56:01","modified_gmt":"2024-10-16T13:56:01","slug":"galerie","status":"publish","type":"page","link":"https:\/\/navier-lab.fr\/en\/research\/geotechnique\/galerie\/","title":{"rendered":"Scientific Illustration Competition"},"content":{"rendered":"

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Image Gallery for the Scientific Illustration Competition Geotechnics \u2013 CERMES<\/h1>\n<\/div>\n<\/div><\/div><\/div><\/div><\/section>
<\/p>\n

Below you will find the list of images submitted for the Scientific Illustration Competition by the Geotechnics \u2013 CERMES team. Voting can be done at the following link:
\nhttps:\/\/live.tiermaker.com\/17918172<\/strong><\/a><\/p>\n

\n<\/div><\/div><\/div><\/div><\/div><\/section>

\n \"\"\n <\/figure>
\n

Image 01<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n

The image consists of a symmetrical comparison of a cylindrical sample of compacted bentonite-sand mixture at ambient conditions (left) and water-saturated (right) at confined conditions. Edge detection via Sobel filtering highlights sand grains and porosity contours. The effects of water-induced swelling are appreciable in the closure of the external gap and in the homogenisation, with macropore contours (brightest contours in the left image) are barely visible after hydration. A final colour-balance adjustment provides the saturated blue tonality, improving its aesthetics.<\/p>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div>

\n \"\"\n <\/figure>
\n

Image 02<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n

Geological hydrogen storage, especially storage in porous medium, is the best large-scale and long-term solution to balance the seasonal supply-demand mismatch of renewable energy. Due to seasonal injection and recovery of gas, the reservoir rock is subjected to cyclic pressure changes. The image shows the process of hydrogen production, storage and use, highlighting the cyclic behaviour of reservoir rocks that can be observed at the laboratory scale.<\/p>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div><\/section>

\n \"\"\n <\/figure>
\n

Image 03<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n

Saint-Maximin Limestone (SML), characterized by a high macro porosity of about 35% and a permeability of about 5 mD, is selected as a typical reservoir rock for geological hydrogen storage application. The picture shows the SML sample (left half) and its SEM scan (right half).The pore space in the SEM is filled in blue to emphasise the storage space for hydrogen.<\/p>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div>

\n \"\"\n <\/figure>
\n

Image 04<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n
\n

Sch\u00e9ma montrant la propagation de fissures \u00e0 partir de l’extr\u00e9mit\u00e9 de fractures existantes des deux c\u00f4t\u00e9s d’un tunnel sous l’effet d’une injection de fluide, analys\u00e9e par des calculs en \u00e9l\u00e9ment finis enrichis par des \u00e9l\u00e9ments joints pour un mat\u00e9riau monophasique.<\/span><\/p>\n<\/div>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div><\/section>

\n \"\"\n <\/figure>
\n

Image 05<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n
\n

Analytical, empirical, numerical, and data-driven approaches are emphasized to analyze the behavior of tunnels in both short and long-term scenarios. These methods are integrated into a framework for assessing tunnel design. Starting from in-situ convergence measurements, constitutive parameters are first determined using a back-analysis technique based on analytical and empirical formulations. Then, the ground-lining interaction is considered through the use of machine learning surrogate models that adopt the bagging procedure and rely on synthetic datasets generated from numerical modeling. Because of its relative simplicity, this framework could help lead to optimized and sustainable designs.<\/span><\/p>\n<\/div>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div>

\n \"\"\n <\/figure>
\n

Image 06<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n
\n

Profilometric scan of a tensile crack surface in cement, accompanied by a map of <\/span>local slope variations<\/span>, illustrating the percolation of damage.<\/p>\n<\/div>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div><\/section>

\n \"\"\n <\/figure>
\n

Image 07<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n
\n

A 2D view of a porosimetry simulation conducted on a 3D binary image of a synthetic rock made from sintered glass beads. The simulation is done by using the local thickness method from PoreSPY liberary. This method is designed to avoid the “Ink bottle effect\" of serial\u00a0pores geometry. The coloured particles represent the pores, while the colours represent the pore sizes. The dark particles\u00a0represent the glass beads.<\/span><\/p>\n<\/div>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div>

\n \"\"\n <\/figure>
\n

Image 08<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n
\n

This image showcases a unique sample that has been scanned using microtomography. The distinct stratification of Anhydrite\/Gypsum (white) and clay (gray), deposited over geological time periods, is clearly visible. The anhydrite appears in the sample as layers, veins (upper middle section), and within fractures. Surrounding the sample are small glass beads that help maintain its position during the scan.<\/p>\n<\/div>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div><\/section>

\n \"\"\n <\/figure>
\n

Image 09<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n
\n
\n

Sch\u00e9ma illustrant la propagation asym\u00e9trique d’une paire de fissures des deux cotes d’une galerie de stockage sous l’effet d’une injection de fluide, analys\u00e9e par des calculs en \u00e9l\u00e9ment finis enrichis par des \u00e9l\u00e9ments joints pour un mat\u00e9riau monophasique.<\/span><\/p>\n<\/div>\n<\/div>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div>

\n \"\"\n <\/figure>
\n

Image 10<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n
\n

The image depicts a microtomography scan of an oedometer sample taken before the oedometer test. The sample consists of clay-sulfate rock, showcasing the distinctive layering of clay (gray) and Anhydrite\/Gypsum (white). Additionally, the image reveals the mixing of these layers caused by geological processes.<\/p>\n<\/div>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div><\/section>

\n \"\"\n <\/figure>
\n

Image 11<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n
\n

Cette image illustre un essai isotrope en cours, visant \u00e0 \u00e9tudier les propri\u00e9t\u00e9s thermo-hydro-m\u00e9caniques d\u2019un \u00e9chantillon poreux. Le ruban chauffant orange sur l\u2019appareil cr\u00e9e un contraste avec les autres teintes de la sc\u00e8ne. Au premier plan, un \u00e9chantillon en forme de disque, \u00e9quip\u00e9 de jauges de d\u00e9formation, souligne le contraste de taille entre l\u2019\u00e9chantillon et l\u2019appareil. \u00c0 l\u2019arri\u00e8re-plan, les deux pompes marron sont utilis\u00e9s pour contr\u00f4ler la pression de confinement et la pression interstitielle, ce qui d\u00e9montre la complexit\u00e9 et la sp\u00e9cialisation de l\u2019appareil.<\/span><\/p>\n<\/div>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div>

\n \"\"\n <\/figure>
\n

Image 12<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n
\n
\n

Sch\u00e9ma illustrant la d\u00e9viation de la trajectoire de propagation d’une fissure \u00e0 partir de l’extr\u00e9mit\u00e9 d’une fracture existante dans un mat\u00e9riau poreux non satur\u00e9e en fonction de la direction des contraintes principales de terrain, analys\u00e9e par des calculs en \u00e9l\u00e9ment finis enrichis par des \u00e9l\u00e9ments joints.\u00a0<\/span><\/p>\n<\/div>\n<\/div>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div><\/section>

\n \"\"\n <\/figure>
\n

Image 13<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n
\n

In the image, one can see the propagation of a shear, frictionless crack in a disordered medium. The color between crack front position represents the amount of energy dissipated due to the crack front’s advancement from its current position to the next one.<\/span><\/p>\n<\/div>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div>

\n \"\"\n <\/figure>
\n

Image 14<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n
\n
A 3D render view of a synthetic
\nrock that was made from sintered glass beads.\u00a0 The synthetic rock was
\nfabricated to assess the possibility of controlling the microstructure
\nfor linking scales in geomechanical behaviour and underground gas
\nmigration. The image is obtained from X ray computed microtomography, it
\nwas first segmented into a binary image of void and solid phases.
\nA\u00a0threshold\u00a0is subsequently applied to remove the void phase.<\/div>\n
<\/div>\n<\/div>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div>

\n \"\"\n <\/figure>
\n

Image 15<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n
\n

During the preparation of individual samples for further investigation, this particular piece of rock was serendipitously created. The image reveals a clay-sulfate rock with a distinct Anhydrite\/Gypsum layer prominently protruding from the sample. This specimen proved especially suitable for microtomography scans to differentiate between the materials, demonstrating that sometimes, luck plays a role in our work.<\/p>\n<\/div>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div><\/section>

\n \"\"\n <\/figure>
\n

Image 16<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n
\n

L\u2019image montre une cellule d\u00e9viatorique haute temp\u00e9rature et haute pression pour d\u00e9terminer les propri\u00e9t\u00e9s thermo-hydro-m\u00e9caniques de l\u2019agilite Callovo-Oxfordien. Un \u00e9chantillon, \u00e9quip\u00e9 de jauges de d\u00e9formation, est plac\u00e9 au centre de l\u2019appareil.\u00a0Les multiples vannes bleues \u00e0 droite sugg\u00e8rent la complexit\u00e9 et la pr\u00e9cision de ce type de test, ainsi que les exigences techniques \u00e9lev\u00e9es de l\u2019exp\u00e9rimentation.\u00a0\u00a0L\u2019ordinateur flou \u00e0 gauche, en arri\u00e8re-plan, correspond \u00e0 la partie d\u00e9di\u00e9e au traitement des donn\u00e9es.<\/span><\/p>\n<\/div>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div>

\n \"\"\n <\/figure>
\n

Image 17<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n
\n
A 3D view of the gas migration pathways produced during a gas injection test on a confined water-saturated bentonite-sand sample. It resulted from the Digital-Image-Correlation assisted subtraction of 3D images taken before and during the gas injection test by 3D X-ray \u03bcCT. (Left) we observe an overview of the pathways, which are more condensed closer to the gas injection front (the bottom of the image) and do not show preferential migration through the cell-sample interface \u2019s border (the cell\u2019s wall is represented here as an external void). (Right) a zoom provides the grain-scale 3D view of a gas pathway.<\/div>\n<\/div>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div><\/section>

\n \"\"\n <\/figure>
\n

Image 18<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n
\n

Microcrack densities captured via back-scattered electron imaging at the tip of a tensile crack in Carrara marble, highlighting the complex morphology of rock fractures.<\/span><\/p>\n<\/div>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div>

\n \"\"\n <\/figure>
\n

Image 19<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n
\n
A 3D render view of a porosimetry simulation conducted on a 3D binary image of a synthetic rock made from sintered glass beads. The simulation is done by using the local thickness method from PoreSPY liberary. This method is designed to avoid the “Ink bottle effect\" of serial\u00a0pores geometry. The coloured particles represent the pores, while the colours represent the pore sizes. A\u00a0threshold\u00a0was applied to eliminate pore throats.<\/div>\n<\/div>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div><\/section>

\n \"\"\n <\/figure>
\n

Image 20<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n
\n
\n

Sch\u00e9ma pr\u00e9sentant la fracturation radiale sur la paroi du tunnel caus\u00e9e par le gonflement d’un mat\u00e9riau bitumineux remplissant la section du tunnel, analys\u00e9e par des calculs en \u00e9l\u00e9ment finis enrichis par des \u00e9l\u00e9ments joints.<\/span><\/p>\n<\/div>\n<\/div>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div>

\n \"\"\n <\/figure>
\n

Image 21<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n
\n
\n

Sch\u00e9ma illustrant la propagation d’une fissure \u00e0 la paroi d’un tunnel soumis \u00e0 une injection de gaz, analys\u00e9e par des calculs en \u00e9l\u00e9ment finis enrichis par des \u00e9l\u00e9ments joints pour un mat\u00e9riau biphasique.<\/span><\/p>\n<\/div>\n<\/div>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div><\/section>

\n \"\"\n <\/figure>
\n

Hors-concours 01<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n
\n

To be defined.<\/p>\n<\/div>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div>

\n \"\"\n <\/figure>
\n

Hors-concours 02<\/h2><\/div>\n <\/article>
\n

<\/span><\/i> Description<\/a><\/h3>
<\/p>\n

To be defined.<\/p>\n

\n<\/div><\/div><\/div><\/div><\/div>\n<\/div><\/div>

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