Pretraživanje
Prikaz rezultata 11-20 od 44
Catastrophic risks and sustainable development
(Belgrade: University of Belgrade, Faculty of Economics Publishing Centre, 2015)
Empirijski modeli za predviđanje vibracija
(Beograd: Građevinski fakultet Univerziteta u Beograd, Akademska misao, 2017)
Priority investments in safety improvements on the railway crossings on Serbian railway network
(Belgrade: Publishing centre of Faculty of Transport and Traffic Engineering, 2014)
Modeliranje sile točka
(Beograd: Građevinski fakultet Univerziteta u Beograd, Akademska misao, 2017)
Numerički modeli za predviđanje vibracija
(Beograd: Građevinski fakultet Univerziteta u Beograd, Akademska misao, 2017)
Ausfachungen aus Ziegelmauerwerk
(John Wiley & Sons, Ltd, 2016)
Aus zurückliegenden Erdbeben ist bekannt, dass Stahlbetonrahmentragwerke mit Ausfachungen aus Mauerwerk häufig starke Schäden aufweisen. Wesentlicher Grund ist eine mangelhafte konstruktive Ausführung, die zu einer ...
Communication of Spatial Information in Environmental and Energy Solutions for Urban Spaces / Komunikacija prostornih informacija u ekološkim i energetskim rešenjima za gradske prostore
(Beograd: Institut za arhitekturu i urbanizam Srbije, 2016)
Metoda dinamičke krutosti u dinamičkoj analizi ploča - deo 2: primena
(Beograd: Univerzitet u Beogradu, Građevinski fakultetPodgorica: Univerzitet Crne Gore, Građevinski fakultet, 2016)
In the paper, verification of the model based on the DSM for free vibration analysis of rectangular plate
assemblies according to the shear-deformable plate theories is presented. Plates and plate assemblies
having ...
Integration of Materials Science-based Performance Models into PMS
(Wiley Blackwell, 2016)
The integration of materials science-based performance models obtained from laboratory performance testing and modeling into the lifecycle assessment of road pavements is a futureoriented approach for the improvement of ...
Concepts for improving machine learning based landslide assessment
(Springer Netherlands, 2019)
The main idea of this chapter is to address some of the key issues that were recognized in Machine Learning (ML) based Landslide Assessment Modeling (LAM). Through the experience of the authors, elaborated in several case ...