Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rafał F. Obrzud"'
Publikováno v:
Studia Geotechnica et Mechanica, Vol 38, Iss 3, Pp 49-66 (2016)
This paper analyzes two approaches to serviceability limit state (SLS) verification for the deep excavation boundary value problem. The verification is carried out by means of the finite element (FE) method with the aid of the commercial program ZSoi
Autor:
Andrzej Truty, Rafał F. Obrzud
Publikováno v:
Studia Geotechnica et Mechanica, Vol 37, Iss 2, Pp 61-68 (2015)
The analysis of an important drawback of the well known Hardening Soil model (HSM) is the main purpose of this paper. A special emphasis is put on modifying the HSM to enable an appropriate prediction of the undrained shear strength using a nonzero d
Publikováno v:
International Journal for Numerical and Analytical Methods in Geomechanics. 35:1703-1730
This study presents a numerical approach designed for material parameter identification for the coupled hydro-mechanical boundary value problem (BVP) of the piezocone test (CPTU) in normally and lightly overconsolidated clayey soils. The study is pre
Publikováno v:
International Journal for Numerical and Analytical Methods in Geomechanics. 33:817-849
This paper presents a numerical procedure of material parameter identification for the coupled hydromechanical boundary value problem (BVP) of the self-boring pressuremeter test (SBPT) in clay. First, the neural network (NN) technique is applied to o
Publikováno v:
International Journal for Numerical and Analytical Methods in Geomechanics. 33:71-94
A two-level procedure designed for the estimation of constitutive model parameters is presented in this paper. The neural network (NN) approach at the first level is applied to achieve the first approximation of parameters. This technique is used to
This paper completes the study presented in the accompanying paper, and demonstrates a numerical algorithm for parameter prediction from the piezocone test (CPTU) data. This part deals with a development of neural network (NN) models which are able t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20bdf4c1448b60d878e24dd626879166
https://infoscience.epfl.ch/record/164560
https://infoscience.epfl.ch/record/164560