Title
Model za prognoziranje produktivnosti procesa betoniranja
Creator
Matejević, Biljana D. 1976-
Copyright date
2016
Object Links
Select license
Autorstvo-Nekomercijalno-Bez prerade 3.0 Srbija (CC BY-NC-ND 3.0)
License description
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Language
Serbian
Cobiss-ID
Theses Type
Doktorska disertacija
description
Datum odbrane: 25.11.2016.
Other responsibilities
mentor
Zlatanović, Milorad
član komisije
Dutina, Velimir
član komisije
Marković, Ljubo
Academic Expertise
Tehničko-tehnološke nauke
University
Univerzitet u Nišu
Faculty
Građevinsko-arhitektonski fakultet
Group
Katedra za konstukcije i konstrukcijske sisteme arhitektonskih objekata
Alternative title
Model for predicting of the productivity of the concreting process
Publisher
[B. D. Мatejević]
Format
[20], 185 listova
description
Autorova slika
Biografija autora: list 185
description
Predicting and simulation of stochastic processes
Abstract (en)
Measuring of the productivity of work in civil engineering, as a very
complex and long lasting process because of the peculiarities of
construction activity is not sufficient per se; it is necessary to examine
and assess the impact of various factors on the realized productivity.
Concreting works, in construction of an engineering structure, have a
great importance from the viewpoint of quantities and costs,
especially if frame construction system has been implemented in
building construction. For such buildings, concrete works represent
key activities in the dynamic plan of construction works. For this
reason it is important to perform realistic planning of construction
works by good coordination of all factors and by providing the
required productivity. In our practice, planning of concreting process,
mostly boils down to experience without considering the factors
which affect the productivity of the process. The subject matter of
scientific research of this doctoral dissertation is the analysis of
productivity of performing concreting works when constructing
engineering structures and development of regression and simulation
models for concreting process productivity prediction. Concrete
works technology which is the subject of dissertation analysis
comprises making of concrete in concrete factory, transport using
mixer trucks to the construction site, transport with concrete pump to
the placing location and placing using poker vibrators. In the
dissertation the process of concrete works performance was
researched as a cyclic process in civil engineering, on actual and
ongoing projects for the purpose of obtaining actual data. The data
were acquired by recording the concreting process, by studying
technical and design documents and from interviews with technical
and working personnel directly engaged in the process, on eight
building construction sites and they were used for development of
regression and simulation models for predicting the concreting
process productivity. The analysis of the productive of concreting
process of vertical (columns, walls, bearing walls, elevator shafts) and
horizontal elements of engineering structures (beams, slabs, floor
structures, foundation slabs) has been conducted. By implementing
empirical, statistic, regression and simulation methods, the models for
concreting process productivity prediction were formed. The
proposed models can be useful in the planning phase and provide for
a more accurate predict of activity duration in the concreting process
and thus be beneficial for the decisions making, predicting of the
course of works and for a better management of concreting process
with a goal of increasing productivity, shortening works duration and
reduction of costs
Authors Key words
Prognoziranje, produktivnost, trajanje, proces betoniranja,
višestruka linearna regresija, simulacija
Authors Key words
Prediction, productivity, duration, concreting process, multiple linear
regression, simulation
Classification
693.54(043.3)
Subject
T 002
Type
Elektronska teza
Abstract (en)
Measuring of the productivity of work in civil engineering, as a very
complex and long lasting process because of the peculiarities of
construction activity is not sufficient per se; it is necessary to examine
and assess the impact of various factors on the realized productivity.
Concreting works, in construction of an engineering structure, have a
great importance from the viewpoint of quantities and costs,
especially if frame construction system has been implemented in
building construction. For such buildings, concrete works represent
key activities in the dynamic plan of construction works. For this
reason it is important to perform realistic planning of construction
works by good coordination of all factors and by providing the
required productivity. In our practice, planning of concreting process,
mostly boils down to experience without considering the factors
which affect the productivity of the process. The subject matter of
scientific research of this doctoral dissertation is the analysis of
productivity of performing concreting works when constructing
engineering structures and development of regression and simulation
models for concreting process productivity prediction. Concrete
works technology which is the subject of dissertation analysis
comprises making of concrete in concrete factory, transport using
mixer trucks to the construction site, transport with concrete pump to
the placing location and placing using poker vibrators. In the
dissertation the process of concrete works performance was
researched as a cyclic process in civil engineering, on actual and
ongoing projects for the purpose of obtaining actual data. The data
were acquired by recording the concreting process, by studying
technical and design documents and from interviews with technical
and working personnel directly engaged in the process, on eight
building construction sites and they were used for development of
regression and simulation models for predicting the concreting
process productivity. The analysis of the productive of concreting
process of vertical (columns, walls, bearing walls, elevator shafts) and
horizontal elements of engineering structures (beams, slabs, floor
structures, foundation slabs) has been conducted. By implementing
empirical, statistic, regression and simulation methods, the models for
concreting process productivity prediction were formed. The
proposed models can be useful in the planning phase and provide for
a more accurate predict of activity duration in the concreting process
and thus be beneficial for the decisions making, predicting of the
course of works and for a better management of concreting process
with a goal of increasing productivity, shortening works duration and
reduction of costs
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