Prediction of unsupported excavations behaviour with machine learning techniques
2019
Einzelheiten
Titel
Prediction of unsupported excavations behaviour with machine learning techniques
Autor(en)/ in(nen)
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)
Datum
2019-09
Veröffentlich in
Proceedings of XIV International Conference on Computational Plasticity, Fundamentals and Application (COMPLAS 2019), 3-5 September 2019, Barcelona, Spain
Band
pp. 529-535
Verlag
Barcelona, Spain, 3-5 September 2019
Umfang
7 p.
Vorgestellt auf
XIV International Conference on Computational Plasticity, Fundamentals and Application (COMPLAS 2019), Barcelona, Spain, 2019-09-03, 2019-09-05
Schlüsselwörter
geotechnics ; excavations ; finite elements ; neural networks ; machine learning
Papiertyp
full paper
Domaine
Ingénierie et Architecture
Ecole
HEIA-FR
Institut
iTEC - Institut des technologies de l'environnement construit
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