“Data exchange” service offers individual users metadata transfer in several different formats. Citation formats are offered for transfers in texts as for the transfer into internet pages. Citation formats include permanent links that guarantee access to cited sources. For use are commonly structured metadata schemes : Dublin Core xml and ETUBMS xml, local adaptation of international ETDMS scheme intended for use in academic documents.
Export
Davidović, Nebojša
Primena probabilističkog koncepta u geotehničkim računskim analizama stabilnosti : doktorska disertacija
Dozvoljavate umnožavanje, distribuciju i javno saopštavanje dela, i prerade, ako se navede ime autora na način odredjen od strane autora ili davaoca licence, čak i u komercijalne svrhe. Ovo je najslobodnija od svih licenci. Osnovni opis Licence: http://creativecommons.org/licenses/by/3.0/rs/deed.sr_LATN Sadržaj ugovora u celini: http://creativecommons.org/licenses/by/3.0/rs/legalcode.srLatn
Academic metadata
Doktorska disertacija
Prirodnomatematičke nauke

Univerzitet u Nišu
Građevinskoarhitektonski fakultet
Katedra za tehničku mehaniku i teoriju konstrukcija
Other Theses Metadata
PROBABILISTIC CONCEPT AND ITS APPLICATION IN GEOTECHNICAL STABILITY ANALYSES
Niš : [N. Davidović]
PDF/A (193 lista)
Umnoženo za odbranu.
Univerzitet u Nišu, Građevinskoarhitektonski fakultet, 2013.
Summary.
Bibliografija: listovi 124132.
Prolović, Verka (mentor)
Lukić, Dragan (član komisije)
Stojić, Dragoslav (član komisije)
Bonić, Zoran (član komisije)
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.
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.