User: Guest  Login
Title:

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

Document type:
Zeitschriftenaufsatz
Author(s):
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...     »
Journal title:
EPJ Web of Conferences
Year:
2021
Journal volume:
249
Pages contribution:
11015
Fulltext / DOI:
doi:10.1051/epjconf/202124911015
Publisher:
EDP Sciences
E-ISSN:
2100-014X
Date of publication:
01.01.2021
 BibTeX