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Computational design and analysis of tensegrity structures
(Serbian architectural journal, 2018)
The paper presents the application of computational tools in design and analysis of integrally tensioned (tensegrity) structures. The shaping process of this specific type of spatial structures is determined by consideration ...
Procena čvrstoće betona pri pritisku, korišćenjem različitih funkcija zrelosti betona: primer iz prakse / Assesment of concrete compressive strength using different maturity functions: case study
(Građevinski materijali i konstrukcije, 2018)
Čvrstoća pri pritisku jeste svojstvo koje je veoma značajno u građevinarstvu, te postoji izražena potreba da se razviju metode za praćenje prirasta čvrstoće pri pritisku betona u konstrukciji. Prema zakonskim propisima ...
Estimation of thermal impulse response of a multi-layer building wall through in-situ experimental measurements in a dynamic regime with applications
(Elsevier Ltd, 2018)
The dynamic thermal characteristics of the components of a building have a primary influence on the energy performance of the building's envelope under real environmental conditions. In this study, a novel approach for ...
Management of bridges with shallow foundations exposed to local scour
(Taylor and Francis Ltd., 2018)
The Serbian road network includes a large portion of bridges with shallow foundations vulnerable to local scour as tragically demonstrated during the extreme flooding in May 2014. Currently, the bridge management procedures ...
Ex post analysis of road projects: resilience to crisis
(Editorial Board EJTIR, 2018)
This investigation aimed to reveal a mechanism of how different road projects' settings respond to macro-economic crisis. Qualitative and quantitative analyses were performed over a sample of 31 European road projects, in ...
Application of artificial neural networks for hydrological modelling in karst
(Union of Croatian Civil Engineers and Technicians, 2018)
The possibility of short-term water flow forecasting in a karst region is presented in this paper. Four state-of-the-art machine learning algorithms are used for the one day ahead forecasting: multi-layer perceptron neural ...