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Titel:

Modelling the monotonic and cyclic behaviour of sands using Artificial Neural Networks

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Chen, Weixian; Peña Olarte, Andrés Alfonso; Cudmani, Roberto
Abstract:
In this study artificial neural networks (ANN) are used to simulate the monotonic and cyclic behaviour of sands observed in laboratory tests on Karlsruhe sand under drained and undrained conditions. A genetic algorithm (GA) is used to obtain an optimal framework for the ANN. The results show that the proposed genetic adaptive neural network (GANN) can effectively simulate drained and undrained monotonic triaxial behaviour of saturated sand under isotropic or anisotropic consolidation. The GA...     »
Zeitschriftentitel:
EPJ Web of Conferences
Jahr:
2021
Band / Volume:
249
Seitenangaben Beitrag:
11015
Volltext / DOI:
doi:10.1051/epjconf/202124911015
Verlag / Institution:
EDP Sciences
E-ISSN:
2100-014X
Publikationsdatum:
01.01.2021
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