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Parameter inversion of constitutive model of soil using neural networks

Release Time:2019-03-11  Hits:

Indexed by: Journal Article

Date of Publication: 2011-01-01

Journal: Advances in Intelligent and Soft Computing

Included Journals: Scopus、EI

Volume: 105

Page Number: 417-420

ISSN: 18675662

Abstract: Neural network models are developed for estimating model parameters of conditioned soils in EBP shield. The parameter identification of nonlinear constitutive model of soil mass is based on an inverse analysis procedure, which consists of minimizing the objective function representing the difference between the experimental data and the calculated data of the mechanical model. The models are found to have good predictive ability and are expected to be very useful for estimating model parameters of conditioned soils in EBP shield. ? 2011 Springer-Verlag Berlin Heidelberg.

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