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Comprehensive review of the structural behaviour and numerical modelling of recycled aggregate concrete-filled steel tubes
(Elsevier, 2024)
This paper summarises current research findings related to the behaviour and simulation of a relatively new type
of structural component: recycled aggregate concrete-filled steel tube columns (RACFST). The first part of ...
An efficient model for 3D analysis of steel frames exposed to fire
(Elsevier, 2024)
The paper presents a nonlinear concentrated plasticity frame element for advanced analysis of steel frames exposed to elevated temperatures. The element extends the formulation based on the generalized plasticity material ...
Experimental Investigation and Numerical Analysis of the Axial Load Capacity of Circular Concrete-Filled Tubular Columns
(MDPI, 2024)
This paper focuses on the experimental investigation of the axial load capacity of CFT
(concrete-filled steel tube) columns under actual construction conditions during building reconstruction. A total of four samples were ...
Prediction model for calculation of the limestone powder concrete carbonation depth
(Elsevier Ltd, 2024)
The efficient way to mitigate the impact of the concrete industry on climate change is to reduce the clinker content in the concrete mix. Beside incorporating supplementary cementitious materials (SCMs), it is possible to ...
A compliance assessment of GNSS station networks in Serbia
(Geographical Institute “Jovan Cvijić” of the Serbian Academy of Sciences and Arts (SASA), 9 Djure Jakšića St., Belgrade 11000, Serbia, 2024)
Since the early 21st century, Global Positioning System (GPS) technology has dominated geodetic reference networks. Almost all countries established a permanent Global Navigation Satellite System (GNSS) station network to ...
Application of geophysical and multispectral imagery data for predictive mapping of a complex geo‑tectonic unit: a case study of the East Vardar Ophiolite Zone, North‑Macedonia
(Springer-Verlag GmbH Germany, 2024)
The Random Forest (RF) and K nearest neighbors (KNN) machine learning (ML) algorithms were evaluated for their ability to predict ophiolite occurrences, in the East Vardar Zone (EVZ) of central North Macedonia. A predictive ...
Simplified methodology for fatigue analysis of reinforced asphalt systems
(Springer, 2024)
Fatigue analysis has an important role in evaluating the durability and performance of asphalt pavements, especially when novel or alternative materials are used. Numerous laboratory studies have investigated fatigue ...
Improving performance of bucket-type hydrological models in high latitudes with multi-model combination methods: Can we wring water from a stone?
(Elsevier, 2024)
Multi-model combination (averaging) methods (MMCMs) are used to improve the accuracy of hydrological (precipitation-runoff) outputs in simulation or forecasting/prediction modes. In this paper, we examined if the application ...
Numerical Modeling of Two Adjacent Interacting URM Structures
(IPSI, Belgrade, 2024)
Masonry structures in addition to their long heritage are still widely used in civil engineering practice. It should be emphasized that a lot of research has already been done on the seismic behavior of masonry structures. ...
Economic assessment of nature-based solutions to reduce flood risk and enhance co-benefits
(Elsevier, 2024)
Flooding is expected to increase due to climate change, urbanisation, and land use change. To address this issue, Nature-Based Solutions (NBSs) are often adopted as innovative and sustainable flood risk management methods. ...