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Uniaxial compressive strength test before and after standard fire test on rock mass
(Engineering problems in soft rock / Fifth symposium of the Macedonian Association for Geotechnics, 2022)
The paper presents uniaxial compressive strength test according to SRPS EN 1926. Uniaxial
compressive strength test was performed on 12 identical cube-shaped specimen’s dimensions 70 mm x
70 mm x 70 mm, which are made ...
Using Historical Aerial Photography in Landslide Monitoring: Umka Case Study, Serbia
(MDPI, Basel, Switzerland, 2022)
The application of remote sensing methods provides useful information that can be used for numerous research. Thus, spatial changes in soil, vegetation, hydrography and such can be analyzed. By analyzing the data obtained ...
Importance of numerical algorithm for stress integration in the application of elastoplastic soil models for geotechnical problems
(Fifth Symposium of the Society for Geotechnics of Macedonia, DGM, 2022, 2022)
The mathematical formulation of the constitutive equations is expressed through a set of differential nonlinear equations. The incrementally-iterative procedures are mainly used for solving material nonlinear problems by ...
A proposal for the landslide damage questionnaire in suburban areas
(Faculty of Civil Engineering, University of RijekaFaculty of Mining, Geology and Petroleum Engineering, University of Zagreb, 2022)
Landslides are one of the most often natural disasters that have an extensive impact on society including loss of life, destruction of infrastructure and properties, damage to land and loss of natural resources. Landslide ...
Regional rockfall exposure assessment, experiences from Serbia
(Faculty of Civil Engineering, University of RijekaFaculty of Mining, Geology and Petroleum Engineering, University of Zagreb, 2022)
Rockfalls are common in hilly and mountainous areas, especially along roads with engineered slopes and cuts. Such is the case for most of the state and local road routes in Central, Serbia, which was the subject in this ...
Instance-based transfer learning for soil organic carbon estimation
(Frontiers in Environmental Science, 2022)
Soil organic carbon (SOC) is a vital component for sustainable agricultural
production. This research investigates the transfer learning-based neural
network model to improve classical machine learning estimation of ...