Prediction of unsupported excavations behaviour with machine learning techniques
2019
Détails
Titre
Prediction of unsupported excavations behaviour with machine learning techniques
Auteur(s)/ trice(s)
Commend, Stephane (School of Engineering and Architecture (HEIA-FR), HES-SO University of Applied Sciences Western Switzerland)
Wattel, Sacha (GeoMod ingénieurs conseils SA, Lausanne, Switzerland)
Hennerbert, Jean (School of Engineering and Architecture (HEIA-FR), HES-SO University of Applied Sciences Western Switzerland)
Kuonen, Pierre (School of Engineering and Architecture (HEIA-FR), HES-SO University of Applied Sciences Western Switzerland)
Vulliet, Laurent (Laboratory of Soil Mechanics, EPCL, Lausanne, Switzerland)
Wattel, Sacha (GeoMod ingénieurs conseils SA, Lausanne, Switzerland)
Hennerbert, Jean (School of Engineering and Architecture (HEIA-FR), HES-SO University of Applied Sciences Western Switzerland)
Kuonen, Pierre (School of Engineering and Architecture (HEIA-FR), HES-SO University of Applied Sciences Western Switzerland)
Vulliet, Laurent (Laboratory of Soil Mechanics, EPCL, Lausanne, Switzerland)
Date
2019-09
Publié dans
Proceedings of XIV International Conference on Computational Plasticity, Fundamentals and Application (COMPLAS 2019), 3-5 September 2019, Barcelona, Spain
Volume
pp. 529-535
Publié par
Barcelona, Spain, 3-5 September 2019
Pagination
7 p.
Présenté à
XIV International Conference on Computational Plasticity, Fundamentals and Application (COMPLAS 2019), Barcelona, Spain, 2019-09-03, 2019-09-05
Mots-clés (libres)
geotechnics ; excavations ; finite elements ; neural networks ; machine learning
Type de papier
full paper
Domaine
Ingénierie et Architecture
Ecole
HEIA-FR
Institut
iTEC - Institut des technologies de l'environnement construit
Le document apparaît dans
Documents de conférences
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