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Приказ резултата 1-10 од 531
Stability of granular material during elasto-plastic deformation under triaxial stress states
(TTEM journal / Tecnics Technologies Education Management, 2014)
Numerical simulation of levee breach due to overtopping flow
(Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering), 2015)
Exploring the Decision Tree Method for Modelling Urban Land Use Change
(Geomatica, 2015)
Modeling the Propagation of Forest Insect Infestation Using Machine Learning Techniques
(Cham: Springer International Publishing, 2015)
05.18: Maximum chord slenderness ratio of compressed stainless steel closely spaced built-up members
(CE/papers, Special Issue: Proceedings of Eurosteel 2017, 2017)
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 ...
Machine learning based landslide assessment of the Belgrade metropolitan area: Pixel resolution effects and a cross-scaling concept
(Elsevier, 2019)
Improvements of Machine Learning-based landslide prediction models can be made by optimizing scale, customizing training samples to provide sets with the best examples, feature selection, etc. Herein, a novel approach, ...
The performance of bitumen mastics with the addition of fly ash
(CRC Press, London, 2015)
There are two potential uses of fly ash in asphalt mixtures: as a replacement of stone filler, or as a substitution for a certain percentage of bitumen. This paper focuses on the second option with the objective to investigate ...
08.49: Comparison of headed studs with perfobond shear connectors - experimental and numerical analysis
(ce/papers, 2017)
Different types of shear connectors which assure composite action between steel profile and concrete slabs have been developed during decades, considering different shapes, installation equipment and ...
Layer-specific spatial prediction of As concentration in copper smelter vicinity considering the terrain exposure
(Elsevier B.V., 2017)
Prevailing climatic conditions and local topography can be classified as the most influential environmental factors that affect the spatial dispersion of pollutants emanating from industrial sources. In this study, the ...