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Proračun stabilnosti okvirnih nosača
(Univerzitet u Beogradu – Građevinski fakultetUniverzitet Crne Gore – Građevinski fakultetAkademija inženjerskih nauka Srbije, 2019)
Poslednjih nekoliko decenija značajno su se unapredila saznanja u vezi proračuna stabilnosti
okvirnih nosača. Zato je u ovom radu dat pregled postupaka iz ove oblasti. Prikazane su
tradicionalne metode koje se baziraju ...
Catastrophic risks and sustainable development
(Belgrade: University of Belgrade, Faculty of Economics Publishing Centre, 2015)
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 ...
A Finite Element based on a Generalized Laminated Plate Theory / Konačni element zasnovan na Opštoj laminatnoj teoriji ploča
(University of Niš─Civil Engineering and Architectural Faculty of Niš, 2006)
In this paper a plate bending element based on Generalized layerwise plate theory (GLPT) is formulated. The finite element accounts for transverse shear deformationa and layer-wise description of in-plane displacement ...
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 ...
Multi Modal Pushover Analysis of Bridge Structure considering SSI Effect
(Univerzitet u Beogradu - Građevinski fakultet, 2022)
Стандард ЕN 1998-2 за прорачун мостова на сеизмичка дејства прописује две нелинеарне методе за анализу и пројектовање мостова отпорних на земљотресе: (а) нелинеарна динамичка анализа (NRHA) и (б) нелинеарна статичка pushover ...
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 ...
From landslide inventory to landslide risk assessment: methodology, current practice, and challenges
(Macedonian Geological Society, Skopje, 2016)
Advanced simulation and modelling for urban groundwater management / Chapter 2. UGROW – the Urban GROund Water modelling system
(UNESCO-IHP 7, Urban Water series, Taylor&Francis, 2010)
Historically, the vital role that groundwater plays in the urban water cycle has been
severely neglected. To a certain extent this reflects an ‘out of sight, out of mind’ mentality, resulting in ignorance of subsurface ...
Multihazard Exposure Assessment on the Valjevo City Road Network
(Elsevier, 2019)