Title
Primena probabilističkog koncepta u geotehničkim računskim analizama stabilnosti : doktorska disertacija
Creator
Davidović, Nebojša
Copyright date
2013
Object Links
Select license
Autorstvo 3.0 Srbija (CC BY 3.0)
License description
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Language
Serbian
Cobiss-ID
Theses Type
Doktorska disertacija
Other responsibilities
mentor
Prolović, Verka
član komisije
Lukić, Dragan
član komisije
Stojić, Dragoslav
član komisije
Bonić, Zoran
Academic Expertise
Prirodno-matematičke nauke
Academic Title
-
University
Univerzitet u Nišu
Faculty
Građevinsko-arhitektonski fakultet
Group
Katedra za tehničku mehaniku i teoriju konstrukcija
Title translated
PROBABILISTIC CONCEPT AND ITS APPLICATION IN GEOTECHNICAL STABILITY ANALYSES
Publisher
Niš : [N. Davidović]
Format
PDF/A (193 lista)
description
Umnoženo za odbranu.
Univerzitet u Nišu, Građevinsko-arhitektonski fakultet, 2013.
Summary.
Bibliografija: listovi 124-132.
Abstract (en)
Subject of scientific research conducted within this thesis are geotechnical
stability analyses, in which the definition of an appropriate soil model due to the
complexity of the material (soil) and uncertainties inherent in the influencing
factors (soil parameters and load) is difficult. Research methods are dictated by
the nature of the problem which is the subject of research. Modeling of soil for
geotechnical stability analysis is based on the identification of input parameters
(soil characteristics and load), entering their numerical values (constant - for
deterministic analysis, and probability distribution functions to describe the
range of possible values of each parameter - for purposes of applying the
probabilistic concept of stability analysis). Comparative stability analysis of
each of a series of selected typical geotechnical problems is performed using the
first deterministic, then probabilistic concept. The limitations of traditional
deterministic approach are that it does not consider the uncertainty of input
parameters and does not provide information on the probability of failure. The
task of research is to provide a detailed insight into the structure of stability
analysis procedures based on a probabilistic concept, where each input
parameter is defined by the range of possible values and a probability
distribution function. The results clearly show the advantages of probabilistic
approaches in stability analysis and the need for its wider application in our
community.
Authors Key words
Probabilistički koncept, geotehničke analize, parametri tla, neodređenost,
promenljivost, stabilnost kosina, nosivost temeljnog tla.
Authors Key words
Probabilistic concept, geotechnical analyses, soil parameters, uncertainty,
variability, slope stability, bearing capacity.
Subject
55
Type
Elektronska teza
Abstract (en)
Subject of scientific research conducted within this thesis are geotechnical
stability analyses, in which the definition of an appropriate soil model due to the
complexity of the material (soil) and uncertainties inherent in the influencing
factors (soil parameters and load) is difficult. Research methods are dictated by
the nature of the problem which is the subject of research. Modeling of soil for
geotechnical stability analysis is based on the identification of input parameters
(soil characteristics and load), entering their numerical values (constant - for
deterministic analysis, and probability distribution functions to describe the
range of possible values of each parameter - for purposes of applying the
probabilistic concept of stability analysis). Comparative stability analysis of
each of a series of selected typical geotechnical problems is performed using the
first deterministic, then probabilistic concept. The limitations of traditional
deterministic approach are that it does not consider the uncertainty of input
parameters and does not provide information on the probability of failure. The
task of research is to provide a detailed insight into the structure of stability
analysis procedures based on a probabilistic concept, where each input
parameter is defined by the range of possible values and a probability
distribution function. The results clearly show the advantages of probabilistic
approaches in stability analysis and the need for its wider application in our
community.
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