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Tanja Kalman Šipoš
Tanja Kalman Šipoš
Associate Professor at Faculty of Civil Engineering and Architecture Osijek, Croatia
Verified email at gfos.hr
Title
Cited by
Cited by
Year
Potential use of rubber as aggregate in structural reinforced concrete element–A review
K Strukar, TK Šipoš, I Miličević, R Bušić
Engineering Structures 188, 452-468, 2019
1392019
Recycled rubber as an aggregate replacement in self-compacting concrete—Literature overview
R Bušić, I Miličević, TK Šipoš, K Strukar
Materials 11 (9), 1729, 2018
832018
Modelling the influence of waste rubber on compressive strength of concrete by artificial neural networks
M Hadzima-Nyarko, EK Nyarko, N Ademović, I Miličević, T Kalman Šipoš
Materials 12 (4), 561, 2019
742019
Earthquake performance of infilled frames using neural networks and experimental database
T Kalman Šipoš, V Sigmund, M Hadzima-Nyarko
Engineering structures 51, 113-127, 2013
712013
Rapid seismic risk assessment
T Kalman Šipoš, M Hadzima-Nyarko
International Journal of Disaster Risk Reduction 24, 348-360, 2017
692017
Model for mix design of brick aggregate concrete based on neural network modelling
T Kalman Šipoš, I Miličević, R Siddique
Construction and Building Materials 148, 757-769, 2017
692017
Experimental study of rubberized concrete stress-strain behavior for improving constitutive models
K Strukar, T Kalman Šipoš, T Dokšanović, H Rodrigues
Materials 11 (11), 2245, 2018
472018
Prediction of the earthquake response of a three-storey infilled RC structure
A Furtado, H Rodrigues, A Arêde, H Varum, M Grubišić, T Kalman Šipoš
Engineering Structures 171, 214-235, 2018
432018
Strengthening techniques for masonry structures of cultural heritage according to recent Croatian provisions
M Hadzima-Nyarko, N Ademovic, G Pavic, TK Sipos
Earthquakes and Structures 15 (5), 473-485, 2018
422018
Insights from existing earthquake loss assessment research in Croatia
M Hadzima-Nyarko, T Kalman Šipoš
Earthquakes and Structures 13 (4), 365-375, 2017
272017
The use of machine learning models in estimating the compressive strength of recycled brick aggregate concrete
A Khademi, K Behfarnia, T Kalman Šipoš, I Miličević
Computational Engineering and Physical Modeling 4 (4), 1-25, 2021
252021
Rapid assessment of earthquake risk for Bosnia and Herzegovina
N Ademović, T Kalman Šipoš, M Hadzima-Nyarko
Bulletin of earthquake engineering 18, 1835-1863, 2020
242020
Seismic Risk of Croatian Cities Based on Building’s Vulnerability
T Kalman Šipoš, M Hadzima-Nyarko
Tehnički vjesnik: znanstveno-stručni časopis tehničkih fakulteta Sveučilišta …, 2018
232018
Efficient damage assessment for selected earthquake records based on spectral matching
K Strukar, TK Sipos, M Jelec, M Hadzima-Nyarko
Earthq. Struct 17 (3), 271-282, 2019
182019
Empirical formulation of ferrocement members moment capacity using artificial neural networks
T Kalman Sipos, P Parsa
Journal of soft computing in civil engineering 4 (1), 111-126, 2020
132020
Simple design of masonry infilled reinforced concrete frames for earthquake resistance
T Kalman Šipoš, H Rodrigues, M Grubišić
Engineering structures, 2018
122018
STRUCTURAL PERFORMANCE LEVELS FOR MASONRY INFILLED FRAMES
T Kalman Šipoš, M HADZIMA-NYARKO, I MILIČEVIĆ, M GRUBIŠIĆ
16th European Conference on Earthquake Engineering, 2018
9*2018
Prediction of properties of recycled aggregate concrete
I Miličević, T Kalman Šipoš
Građevinar 69 (05.), 347-357, 2017
92017
Prediction of the seismic response of multi-storey multi-bay masonry infilled frames using artificial neural networks and a bilinear approximation
T Kalman Šipoš, K Strukar
Buildings 9 (5), 121, 2019
62019
Application of different seismic analyses to RC structures
N Karakaš, T Kalman Šipoš, M Hadzima-Nyarko
Electronic Journal of the Faculty of Civil Engineering Osijek-e-GFOS 9 (17 …, 2018
42018
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