Determining the interfaces parameters for geotechnical modelling
نویسندگان
چکیده
منابع مشابه
Geotechnical Modelling of the Behaviour of Piles
Comprehensive geotechnical modelling of the behaviour of piles generally encounters setbacks: in preparing model bed simulating field conditions, of specific and uniform shear strength, and reproduction for repetitions. Due to such limitations in traditional practices, information on the complex mechanism of shaft-base resistance interaction is not adequately known. Other outcomes are: varied r...
متن کاملModelling and Simulation of Complex GeoTechnical Problems
An extensive finite element analysis of stability of mining openings at the uranium mine GEAM D. Rož́ınka was firstly performed in the years 1996-2002, see Fig. 1. The final conclusions of this analysis advocate the use of a new mining technology (underhand stoping) and safety of mining in greater depths 950-1100 meters under the surface. At present, due to the price increase of the uranium, the...
متن کاملReliability Modelling of the Redundancy Allocation Problem in the Series-parallel Systems and Determining the System Optimal Parameters
Considering the increasingly high attention to quality, promoting the reliability of products during designing process has gained significant importance. In this study, we consider one of the current models of the reliability science and propose a non-linear programming model for redundancy allocation in the series-parallel systems according to the redundancy strategy and considering the assump...
متن کاملFuture Challenges for Artificial Neural Network Modelling in Geotechnical Engineering
Artificial neural networks (ANNs) are a form of artificial intelligence and, since the mid-1990s, ANNbased models have been successfully applied to virtually every problem in geotechnical engineering. This paper briefly examines the areas of geotechnical engineering to which ANNs have been applied, provides a brief overview of the operation of ANN models, and highlights and discusses four impor...
متن کاملEfficient Parameters Selection for CNTFET Modelling Using Artificial Neural Networks
In this article different types of artificial neural networks (ANN) were used for CNTFET (carbon nanotube transistors) simulation. CNTFET is one of the most likely alternatives to silicon transistors due to its excellent electronic properties. In determining the accurate output drain current of CNTFET, time lapsed and accuracy of different simulation methods were compared. The training data for...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: E3S Web of Conferences
سال: 2019
ISSN: 2267-1242
DOI: 10.1051/e3sconf/20199704042