TY  - JOUR
AU  - Ćorić, Slobodan
AU  - Rakić, Dragoslav
AU  - Ćorić, Stanko
AU  - Basarić, Irena
PY  - 2018
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/923
AB  - Pile foundations are frequently loaded by horizontal forces. In such cases, it is important to calculate lateral capacity of vertical piles. It is governed by the strength of the surrounding soil i.e. geotechnical capacity or pile strength parameters i.e. structural capacity of a pile. In this paper, geotechnical capacity is analysed first, and then the Rankine's, Broms' and Brinch-Hansen's methods for calculating ultimate bearing capacity of a single pile under lateral loads are presented. In accordance with complex geological conditions, which are very often in Serbia, Brinch-Hansen's method has an advantage over the other two methods. It can be applied both to uniform and layered soils under drained or undrained conditions. This is highly important for foundation of structures and landslide's remedial measures, too. Accordingly, load capacity calculation of a pile group is presented as well. In the case of homogenous surrounding soil, deformations of laterally loaded piles may be determined by elastic analysis. However, in the case of complex geological conditions, these deformations may be calculated by the concept of coefficient of subgrade reaction or by p-y curves, too. Finally, numerical analysis for calculation of geotechnical capacity and pile head displacement of laterally loaded piles for foundation of Clinker Bin in Beocin is presented.
AB  - Temelji na šipovima često su izloženi značajnim horizontalnim silama. U takvim slučajevima, važno je da se odredi bočna nosivost vertikalnih šipova. Ona je uslovljena čvrstoćom okolnog tla (geotehnička nosivost) odnosno čvrstoćom poprečnog preseka šipa (konstruktivna nosivost). U radu je prvenstveno analizirana geotehnička nosivost šipova i primenjene su sledeće metode za određivanje bočne nosivosti pojedinačnih šipova: Rankinova, Bromsova i Brinč-Hansenova metoda. S tim u vezi, polazeći od složenih geoloških uslova koji su česti u Srbiji, smatramo da Brinč-Hansenova metoda ima prednost u odnosu na druge dve metode. Naime, ona može da se primeni i u homogenom i u heterogenom tlu i to za drenirane, kao i za nedrenirane uslove. To je veoma važno prilikom fundiranja objekata i prilikom sanacije klizišta. Zato je u radu prikazano i kako se u proračun uvodi grupno dejstvo šipova. Horizontalna pomeranja bočno opterećenih šipova mogu da se, u slučaju homogenog tla, odrede primenom teorije elastičnosti. U slučaju složenih geoloških uslova, međutim, ta pomeranja se određuju primenom koeficijenta horizontalne krutosti okolnog tla ili korišćenjem p-y krivih.Na kraju rada data je numerička analiza određivanja geotehničke nosivosti i horizontalnog pomeranja glave bočno opterećenih šipova koji se koriste za fundiranje silosa klinkera u Beočinu.
PB  - Društvo za ispitivanje i istraživanje materijala i konstrukcija Srbije, Beograd
T2  - Građevinski materijali i konstrukcije
T1  - Lateral capacity and deformations of vertical piles loaded by horizontal forces
T1  - Bočna nosivost i pomeranja vertikalnih šipova opterećenih horizontalnim silama
EP  - 127
IS  - 1
SP  - 111
VL  - 61
DO  - 10.5937/GRMK1801111C
ER  - 

@article{
author = "Ćorić, Slobodan and Rakić, Dragoslav and Ćorić, Stanko and Basarić, Irena",
year = "2018",
abstract = "Pile foundations are frequently loaded by horizontal forces. In such cases, it is important to calculate lateral capacity of vertical piles. It is governed by the strength of the surrounding soil i.e. geotechnical capacity or pile strength parameters i.e. structural capacity of a pile. In this paper, geotechnical capacity is analysed first, and then the Rankine's, Broms' and Brinch-Hansen's methods for calculating ultimate bearing capacity of a single pile under lateral loads are presented. In accordance with complex geological conditions, which are very often in Serbia, Brinch-Hansen's method has an advantage over the other two methods. It can be applied both to uniform and layered soils under drained or undrained conditions. This is highly important for foundation of structures and landslide's remedial measures, too. Accordingly, load capacity calculation of a pile group is presented as well. In the case of homogenous surrounding soil, deformations of laterally loaded piles may be determined by elastic analysis. However, in the case of complex geological conditions, these deformations may be calculated by the concept of coefficient of subgrade reaction or by p-y curves, too. Finally, numerical analysis for calculation of geotechnical capacity and pile head displacement of laterally loaded piles for foundation of Clinker Bin in Beocin is presented., Temelji na šipovima često su izloženi značajnim horizontalnim silama. U takvim slučajevima, važno je da se odredi bočna nosivost vertikalnih šipova. Ona je uslovljena čvrstoćom okolnog tla (geotehnička nosivost) odnosno čvrstoćom poprečnog preseka šipa (konstruktivna nosivost). U radu je prvenstveno analizirana geotehnička nosivost šipova i primenjene su sledeće metode za određivanje bočne nosivosti pojedinačnih šipova: Rankinova, Bromsova i Brinč-Hansenova metoda. S tim u vezi, polazeći od složenih geoloških uslova koji su česti u Srbiji, smatramo da Brinč-Hansenova metoda ima prednost u odnosu na druge dve metode. Naime, ona može da se primeni i u homogenom i u heterogenom tlu i to za drenirane, kao i za nedrenirane uslove. To je veoma važno prilikom fundiranja objekata i prilikom sanacije klizišta. Zato je u radu prikazano i kako se u proračun uvodi grupno dejstvo šipova. Horizontalna pomeranja bočno opterećenih šipova mogu da se, u slučaju homogenog tla, odrede primenom teorije elastičnosti. U slučaju složenih geoloških uslova, međutim, ta pomeranja se određuju primenom koeficijenta horizontalne krutosti okolnog tla ili korišćenjem p-y krivih.Na kraju rada data je numerička analiza određivanja geotehničke nosivosti i horizontalnog pomeranja glave bočno opterećenih šipova koji se koriste za fundiranje silosa klinkera u Beočinu.",
publisher = "Društvo za ispitivanje i istraživanje materijala i konstrukcija Srbije, Beograd",
journal = "Građevinski materijali i konstrukcije",
title = "Lateral capacity and deformations of vertical piles loaded by horizontal forces, Bočna nosivost i pomeranja vertikalnih šipova opterećenih horizontalnim silama",
pages = "127-111",
number = "1",
volume = "61",
doi = "10.5937/GRMK1801111C"
}

Ćorić, S., Rakić, D., Ćorić, S.,& Basarić, I.. (2018). Lateral capacity and deformations of vertical piles loaded by horizontal forces. in Građevinski materijali i konstrukcije
Društvo za ispitivanje i istraživanje materijala i konstrukcija Srbije, Beograd., 61(1), 111-127.
https://doi.org/10.5937/GRMK1801111C

Ćorić S, Rakić D, Ćorić S, Basarić I. Lateral capacity and deformations of vertical piles loaded by horizontal forces. in Građevinski materijali i konstrukcije. 2018;61(1):111-127.
doi:10.5937/GRMK1801111C .

Ćorić, Slobodan, Rakić, Dragoslav, Ćorić, Stanko, Basarić, Irena, "Lateral capacity and deformations of vertical piles loaded by horizontal forces" in Građevinski materijali i konstrukcije, 61, no. 1 (2018):111-127,
https://doi.org/10.5937/GRMK1801111C . .

TY  - CONF
AU  - Bogdanović, Snežana
AU  - Marjanović, Miloš
AU  - Abolmasov, Biljana
AU  - Đurić, Uroš
AU  - Basarić, Irena
PY  - 2015
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/691
AB  - This research addresses surface analysis based on the Terrestrial Laser Scanning data exampled on rockslope site along M-22 highroad near Ljig in Serbia. The slope is about 100 m wide and over 20 m high. The scanning was performed in three epochs 2011, 2013 and 2014, but only the latter two were involved in the analysis due to insufficient quality of the pilot epoch. Gap between the latter two epochs coincided whit local rockfall events detected in the middle section of the slope. Scanning was performed by Leica ScanStation P20 instrument. Two consecutive point clouds were produced and gridded to 3 cm resolution. Comparative assessment of both point clouds and related surface models revealed the volumes and spatial extents of the anticipated rockfalls. Data were analyzed in two software packages: CloudCompare and GeomagicStudio, that have different modeling approaches based on direct point cloud analysis and mashed surface comparison, respectively. We compared advantages and disadvantages of each approach. Finally, we addressed how LiDAR technology can contribute qualitatively and quantitatively for research and monitoring of rockslopes.
PB  - Kluwer Academic Publishers
C3  - Surface Models for Geosciences
T1  - Rockfall Monitoring Based on Surface Models
EP  - 44
SP  - 37
DO  - 10.1007/978-3-319-18407-4_4
ER  - 

@conference{
author = "Bogdanović, Snežana and Marjanović, Miloš and Abolmasov, Biljana and Đurić, Uroš and Basarić, Irena",
year = "2015",
abstract = "This research addresses surface analysis based on the Terrestrial Laser Scanning data exampled on rockslope site along M-22 highroad near Ljig in Serbia. The slope is about 100 m wide and over 20 m high. The scanning was performed in three epochs 2011, 2013 and 2014, but only the latter two were involved in the analysis due to insufficient quality of the pilot epoch. Gap between the latter two epochs coincided whit local rockfall events detected in the middle section of the slope. Scanning was performed by Leica ScanStation P20 instrument. Two consecutive point clouds were produced and gridded to 3 cm resolution. Comparative assessment of both point clouds and related surface models revealed the volumes and spatial extents of the anticipated rockfalls. Data were analyzed in two software packages: CloudCompare and GeomagicStudio, that have different modeling approaches based on direct point cloud analysis and mashed surface comparison, respectively. We compared advantages and disadvantages of each approach. Finally, we addressed how LiDAR technology can contribute qualitatively and quantitatively for research and monitoring of rockslopes.",
publisher = "Kluwer Academic Publishers",
journal = "Surface Models for Geosciences",
title = "Rockfall Monitoring Based on Surface Models",
pages = "44-37",
doi = "10.1007/978-3-319-18407-4_4"
}

Bogdanović, S., Marjanović, M., Abolmasov, B., Đurić, U.,& Basarić, I.. (2015). Rockfall Monitoring Based on Surface Models. in Surface Models for Geosciences
Kluwer Academic Publishers., 37-44.
https://doi.org/10.1007/978-3-319-18407-4_4

Bogdanović S, Marjanović M, Abolmasov B, Đurić U, Basarić I. Rockfall Monitoring Based on Surface Models. in Surface Models for Geosciences. 2015;:37-44.
doi:10.1007/978-3-319-18407-4_4 .

Bogdanović, Snežana, Marjanović, Miloš, Abolmasov, Biljana, Đurić, Uroš, Basarić, Irena, "Rockfall Monitoring Based on Surface Models" in Surface Models for Geosciences (2015):37-44,
https://doi.org/10.1007/978-3-319-18407-4_4 . .

TY  - CONF
AU  - Rakić, Dragoslav
AU  - Berisavljević, Zoran
AU  - Basarić, Irena
AU  - Đurić, Uroš
PY  - 2015
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1301
PB  - Springer International Publishing, Cham
C3  - Engineering Geology for Society and Territory - Volume 6
T1  - The Importance of the Existing Engineering Geological Conditions During the Building Construction on the Terrain Affected by Sliding
EP  - 289
SP  - 285
DO  - 10.1007/978-3-319-09060-3_47
ER  - 

@conference{
author = "Rakić, Dragoslav and Berisavljević, Zoran and Basarić, Irena and Đurić, Uroš",
year = "2015",
publisher = "Springer International Publishing, Cham",
journal = "Engineering Geology for Society and Territory - Volume 6",
title = "The Importance of the Existing Engineering Geological Conditions During the Building Construction on the Terrain Affected by Sliding",
pages = "289-285",
doi = "10.1007/978-3-319-09060-3_47"
}

Rakić, D., Berisavljević, Z., Basarić, I.,& Đurić, U.. (2015). The Importance of the Existing Engineering Geological Conditions During the Building Construction on the Terrain Affected by Sliding. in Engineering Geology for Society and Territory - Volume 6
Springer International Publishing, Cham., 285-289.
https://doi.org/10.1007/978-3-319-09060-3_47

Rakić D, Berisavljević Z, Basarić I, Đurić U. The Importance of the Existing Engineering Geological Conditions During the Building Construction on the Terrain Affected by Sliding. in Engineering Geology for Society and Territory - Volume 6. 2015;:285-289.
doi:10.1007/978-3-319-09060-3_47 .

Rakić, Dragoslav, Berisavljević, Zoran, Basarić, Irena, Đurić, Uroš, "The Importance of the Existing Engineering Geological Conditions During the Building Construction on the Terrain Affected by Sliding" in Engineering Geology for Society and Territory - Volume 6 (2015):285-289,
https://doi.org/10.1007/978-3-319-09060-3_47 . .

TY  - CONF
AU  - Đurić, Uroš
AU  - Marjanović, Miloš
AU  - Šušić, Vladimir
AU  - Petrović, Rastko
AU  - Abolmasov, Biljana
AU  - Zečević, Snežana
AU  - Basarić, Irena
PY  - 2013
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/1916
AB  - This paper treats development issues of the suburban areas of Belgrade city. A considerable growth that the city had experienced has led to excessive consumption of land and also to degradation of the landscape and loss of the natural biodiversity. This is why an augmentation of the current Master Plan within the administrative extents of the city is considered to be vital for consistent planning of suburban areas development. Model used in this paper considered defining land-use suitability, relying on available thematic data, including the following sources: topography, land-cover, geology, protected areas and some synthetic maps derived from these sources in a GIS environment. For this purpose Support Vector Machines (SVM) algorithm has been implemented in a typical supervised classification learning task. Two modelling schemes have been involved (since the main problem of the study was the unavailability of the land-use suitability in the testing area): MODEL1 has been built in the extents of the training area having only two land-use suitability classes at disposal (Unsuitable and Very Unsuitable) and extrapolated to the testing area within which the same two classes were known (thus available for model performance evaluation), while MODEL2 has been trained on all four land-use suitability classes, and extrapolated to the testing area, with unknown land-use classes. The second model was then correlated with the first one in order to estimate its otherwise disputable performance. Results of MODEL1 were satisfactory, with high overall accuracy (85%). MODEL2 visually shows a good tendency, and since it has at least 85% accuracy for those coincident two classes (Unsuitable and Very Unsuitable) with MODEL1, it is justified to assume that remaining two classes match similar accuracy rates. The model could be improved by more thorough optimization of the classifier parameters, which will require much longer experimenting costs.
PB  - Institute of geoinformatics VŠB - Technical University of Ostrava
C3  - Proceeding of 10th International Symposium, Geoinformatics for City transformations, GIS Ostrava 2013
T1  - Land-use suitability analysis of Belgrade city suburbs using machine learning algorithm
EP  - 61
SP  - 49
UR  - https://hdl.handle.net/21.15107/rcub_grafar_1916
ER  - 

@conference{
author = "Đurić, Uroš and Marjanović, Miloš and Šušić, Vladimir and Petrović, Rastko and Abolmasov, Biljana and Zečević, Snežana and Basarić, Irena",
year = "2013",
abstract = "This paper treats development issues of the suburban areas of Belgrade city. A considerable growth that the city had experienced has led to excessive consumption of land and also to degradation of the landscape and loss of the natural biodiversity. This is why an augmentation of the current Master Plan within the administrative extents of the city is considered to be vital for consistent planning of suburban areas development. Model used in this paper considered defining land-use suitability, relying on available thematic data, including the following sources: topography, land-cover, geology, protected areas and some synthetic maps derived from these sources in a GIS environment. For this purpose Support Vector Machines (SVM) algorithm has been implemented in a typical supervised classification learning task. Two modelling schemes have been involved (since the main problem of the study was the unavailability of the land-use suitability in the testing area): MODEL1 has been built in the extents of the training area having only two land-use suitability classes at disposal (Unsuitable and Very Unsuitable) and extrapolated to the testing area within which the same two classes were known (thus available for model performance evaluation), while MODEL2 has been trained on all four land-use suitability classes, and extrapolated to the testing area, with unknown land-use classes. The second model was then correlated with the first one in order to estimate its otherwise disputable performance. Results of MODEL1 were satisfactory, with high overall accuracy (85%). MODEL2 visually shows a good tendency, and since it has at least 85% accuracy for those coincident two classes (Unsuitable and Very Unsuitable) with MODEL1, it is justified to assume that remaining two classes match similar accuracy rates. The model could be improved by more thorough optimization of the classifier parameters, which will require much longer experimenting costs.",
publisher = "Institute of geoinformatics VŠB - Technical University of Ostrava",
journal = "Proceeding of 10th International Symposium, Geoinformatics for City transformations, GIS Ostrava 2013",
title = "Land-use suitability analysis of Belgrade city suburbs using machine learning algorithm",
pages = "61-49",
url = "https://hdl.handle.net/21.15107/rcub_grafar_1916"
}

Đurić, U., Marjanović, M., Šušić, V., Petrović, R., Abolmasov, B., Zečević, S.,& Basarić, I.. (2013). Land-use suitability analysis of Belgrade city suburbs using machine learning algorithm. in Proceeding of 10th International Symposium, Geoinformatics for City transformations, GIS Ostrava 2013
Institute of geoinformatics VŠB - Technical University of Ostrava., 49-61.
https://hdl.handle.net/21.15107/rcub_grafar_1916

Đurić U, Marjanović M, Šušić V, Petrović R, Abolmasov B, Zečević S, Basarić I. Land-use suitability analysis of Belgrade city suburbs using machine learning algorithm. in Proceeding of 10th International Symposium, Geoinformatics for City transformations, GIS Ostrava 2013. 2013;:49-61.
https://hdl.handle.net/21.15107/rcub_grafar_1916 .

Đurić, Uroš, Marjanović, Miloš, Šušić, Vladimir, Petrović, Rastko, Abolmasov, Biljana, Zečević, Snežana, Basarić, Irena, "Land-use suitability analysis of Belgrade city suburbs using machine learning algorithm" in Proceeding of 10th International Symposium, Geoinformatics for City transformations, GIS Ostrava 2013 (2013):49-61,
https://hdl.handle.net/21.15107/rcub_grafar_1916 .