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The 3DNet-Catch hydrologic model: Development and evaluation
(Elsevier B.V., 2019)
Hydrologic models are important for effective water resources management. They vary in complexity from parsimonious, spatially lumped, to physically-based, fully distributed models, which are generally expected to outperform ...
Model for practical carbonation depth prediction for high volume fly ash concrete and recycled aggregate concrete
(Elsevier, 2019)
The reuse of industrial residue streams such as fly ash (FA) or waste materials such as recycled concrete aggregate (RCA) can be beneficial both from an economic and an ecological point of view. Extensive research, ...
Detection of SARS-CoV-2 RNA in the Danube River in Serbia associated with the discharge of untreated wastewaters
(Science of the Total Environment, 2021)
In Serbia less than 13% of collected municipal wastewaters is being treated before their release in the environment. This includes all municipal wastewater discharges from Belgrade (capital city of Serbia; population ...
Creep of recycled aggregate concrete: Experimental database and creep prediction model according to the fib Model Code 2010
(Elsevier Ltd, 2019)
Recycled aggregate concrete (RAC) is a promising solution to addressing the sustainability issues raised by concrete production. However, its long-term properties are not fully characterised, especially creep behaviour, ...
A comparison of tools and techniques for stabilising unmanned aerial system (UAS) imagery for surface flow observations
(Copernicus, EGU, 2021)
While the availability and affordability of unmanned aerial systems (UASs) has led to the rapid development of remote sensing applications in hydrology and hydrometry, uncertainties related to such measurements must be ...
Cost-oriented analysis of fibre reinforced concrete column-supported flat slabs construction
(Journal of Building Engineering, 2022)
Fibre reinforced concrete (FRC) is increasingly being used in elements with high structural responsibility, the constructed FRC column-supported flat slabs (CSFSs, hereinafter) with partial or even total substitution of ...
Practical ANN prediction models for the axial capacity of square CFST columns
(Springer, 2023)
In this study, two machine-learning algorithms based on the artificial neural network
(ANN) model are proposed to estimate the ultimate compressive strength of square
concrete-filled steel tubular columns. The development ...
Uni- and multivariate bias adjustment methods in Nordic catchments: Complexity and performance in a changing climate
(Elsevier, 2022)
For climate-change impact studies at the catchment scale, meteorological variables are typically extracted from ensemble simulations provided by global and regional climate models, which are then downscaled and bias-adjusted ...
Research in computing‑intensive simulations for nature‑oriented civil‑engineering and related scientific fields, using machine learning and big data: an overview of open problems
(Springer, 2023)
This article presents a taxonomy and represents a repository of open problems in computing for numerically and logically intensive problems in a number of disciplines that have to synergize for the best performance of ...
Inspection of RCF rail defects – Review of NDT methods
(Academic Press, 2023)
Rail inspection research is a substantive topic for the railway industry. Management of rolling contact fatigue rail defects is crucial for transport safety worldwide because uncontrolled development of these defects could ...