Anđelković, Vladimir

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Authority KeyName Variants
d442e5c0-d349-4b8d-9c00-76a63efda263
  • Anđelković, Vladimir (2)
Projects

Author's Bibliography

Modelling of shear strength of rockfills used for the construction of rockfill dams

Anđelković, Vladimir; Pavlović, Nenad; Lazarević, Zarko; Radovanović, Slobodan

(Elsevier B.V., 2018)

TY  - JOUR
AU  - Anđelković, Vladimir
AU  - Pavlović, Nenad
AU  - Lazarević, Zarko
AU  - Radovanović, Slobodan
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/984
AB  - This paper presents the results of examination of shear properties of rockfills used for the construction of rockfill dams. Based on the results of a large number of experiments, mathematical model of the shear strength of the rockfill was derived, as a function of normal stress, initial compaction and uniaxial compressive strength of intact rock material. Using this model it is possible to make a realistic assessment of the shear strength of a rockfill for the Preliminary Design. The experimental data used for modelling were obtained by direct shear tests performed in the majority at the "Jaroslav Cerni" Institute for Development of Water Resources in Belgrade, Serbia.
PB  - Elsevier B.V.
T2  - Soils and Foundations
T1  - Modelling of shear strength of rockfills used for the construction of rockfill dams
EP  - 893
IS  - 4
SP  - 881
VL  - 58
DO  - 10.1016/j.sandf.2018.04.002
ER  - 
@article{
author = "Anđelković, Vladimir and Pavlović, Nenad and Lazarević, Zarko and Radovanović, Slobodan",
year = "2018",
abstract = "This paper presents the results of examination of shear properties of rockfills used for the construction of rockfill dams. Based on the results of a large number of experiments, mathematical model of the shear strength of the rockfill was derived, as a function of normal stress, initial compaction and uniaxial compressive strength of intact rock material. Using this model it is possible to make a realistic assessment of the shear strength of a rockfill for the Preliminary Design. The experimental data used for modelling were obtained by direct shear tests performed in the majority at the "Jaroslav Cerni" Institute for Development of Water Resources in Belgrade, Serbia.",
publisher = "Elsevier B.V.",
journal = "Soils and Foundations",
title = "Modelling of shear strength of rockfills used for the construction of rockfill dams",
pages = "893-881",
number = "4",
volume = "58",
doi = "10.1016/j.sandf.2018.04.002"
}
Anđelković, V., Pavlović, N., Lazarević, Z.,& Radovanović, S.. (2018). Modelling of shear strength of rockfills used for the construction of rockfill dams. in Soils and Foundations
Elsevier B.V.., 58(4), 881-893.
https://doi.org/10.1016/j.sandf.2018.04.002
Anđelković V, Pavlović N, Lazarević Z, Radovanović S. Modelling of shear strength of rockfills used for the construction of rockfill dams. in Soils and Foundations. 2018;58(4):881-893.
doi:10.1016/j.sandf.2018.04.002 .
Anđelković, Vladimir, Pavlović, Nenad, Lazarević, Zarko, Radovanović, Slobodan, "Modelling of shear strength of rockfills used for the construction of rockfill dams" in Soils and Foundations, 58, no. 4 (2018):881-893,
https://doi.org/10.1016/j.sandf.2018.04.002 . .
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Development of new models for the estimation of deformation moduli in rock masses based on in situ measurements

Radovanović, Slobodan; Ranković, Vesna; Anđelković, Vladimir; Divac, Dejan; Milivojević, Nikola

(Springer Verlag, 2018)

TY  - JOUR
AU  - Radovanović, Slobodan
AU  - Ranković, Vesna
AU  - Anđelković, Vladimir
AU  - Divac, Dejan
AU  - Milivojević, Nikola
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/942
AB  - Knowledge of the deformation properties of the rock mass is essential for the stress-strain analysis of structures such as dams, tunnels, slopes, and other underground structures and the most important parameter of the deformability of the rock mass is the deformation modulus. This paper describes statistical models based on multiple linear regression and artificial neural networks. The models are developed using the test results of the deformation modulus obtained during the construction of the Iron Gate 1 dam on the Danube River and correlate these with measurements of the velocities of longitudinal waves and pressures in the rock mass. The parameters used for defining the models were obtained by in situ testing during dam construction, meaning that scale effects were also taken into account. For the analysis, 47 experimental results from in situ testing of the rock mass were obtained; 38 of these were used for modelling and nine were used for testing of the models. The model based on the artificial neural networks showed better performance in comparison to the model based on multiple linear regression.
PB  - Springer Verlag
T2  - Bulletin of Engineering Geology and the Environment
T1  - Development of new models for the estimation of deformation moduli in rock masses based on in situ measurements
EP  - 1202
IS  - 3
SP  - 1191
VL  - 77
DO  - 10.1007/s10064-017-1027-2
ER  - 
@article{
author = "Radovanović, Slobodan and Ranković, Vesna and Anđelković, Vladimir and Divac, Dejan and Milivojević, Nikola",
year = "2018",
abstract = "Knowledge of the deformation properties of the rock mass is essential for the stress-strain analysis of structures such as dams, tunnels, slopes, and other underground structures and the most important parameter of the deformability of the rock mass is the deformation modulus. This paper describes statistical models based on multiple linear regression and artificial neural networks. The models are developed using the test results of the deformation modulus obtained during the construction of the Iron Gate 1 dam on the Danube River and correlate these with measurements of the velocities of longitudinal waves and pressures in the rock mass. The parameters used for defining the models were obtained by in situ testing during dam construction, meaning that scale effects were also taken into account. For the analysis, 47 experimental results from in situ testing of the rock mass were obtained; 38 of these were used for modelling and nine were used for testing of the models. The model based on the artificial neural networks showed better performance in comparison to the model based on multiple linear regression.",
publisher = "Springer Verlag",
journal = "Bulletin of Engineering Geology and the Environment",
title = "Development of new models for the estimation of deformation moduli in rock masses based on in situ measurements",
pages = "1202-1191",
number = "3",
volume = "77",
doi = "10.1007/s10064-017-1027-2"
}
Radovanović, S., Ranković, V., Anđelković, V., Divac, D.,& Milivojević, N.. (2018). Development of new models for the estimation of deformation moduli in rock masses based on in situ measurements. in Bulletin of Engineering Geology and the Environment
Springer Verlag., 77(3), 1191-1202.
https://doi.org/10.1007/s10064-017-1027-2
Radovanović S, Ranković V, Anđelković V, Divac D, Milivojević N. Development of new models for the estimation of deformation moduli in rock masses based on in situ measurements. in Bulletin of Engineering Geology and the Environment. 2018;77(3):1191-1202.
doi:10.1007/s10064-017-1027-2 .
Radovanović, Slobodan, Ranković, Vesna, Anđelković, Vladimir, Divac, Dejan, Milivojević, Nikola, "Development of new models for the estimation of deformation moduli in rock masses based on in situ measurements" in Bulletin of Engineering Geology and the Environment, 77, no. 3 (2018):1191-1202,
https://doi.org/10.1007/s10064-017-1027-2 . .
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