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Liborio Cavaleri
Liborio Cavaleri
Professor of Structural Engineering and Sesimic Design, University of Palermo, Department of
Verified email at unipa.it
Title
Cited by
Cited by
Year
Cyclic response of masonry infilled RC frames: Experimental results and simplified modeling
L Cavaleri, F Di Trapani
Soil Dynamics and Earthquake Engineering 65, 224-242, 2014
2822014
A macro-modelling approach for the analysis of infilled frame structures considering the effects of openings and vertical loads
PG Asteris, L Cavaleri, F Di Trapani, V Sarhosis
Structure and Infrastructure Engineering 12 (5), 551-566, 2016
1612016
Mapping and holistic design of natural hydraulic lime mortars
M Apostolopoulou, PG Asteris, DJ Armaghani, MG Douvika, PB Lourenšo, ...
Cement and Concrete Research 136, 106167, 2020
1572020
Infilled frames: developments in the evaluation of the stiffening effect of infills
M Papia, L Cavaleri, M Fossetti
Structural engineering and mechanics 16 (6), 675-693, 2003
1462003
Numerical modelling of out-of-plane response of infilled frames: State of the art and future challenges for the equivalent strut macromodels
PG Asteris, L Cavaleri, F Di Trapani, AK Tsaris
Engineering Structures 132, 110-122, 2017
1442017
Prediction of the fundamental period of infilled RC frame structures using artificial neural networks
PG Asteris, AK Tsaris, L Cavaleri, CC Repapis, A Papalou, F Di Trapani, ...
Computational intelligence and neuroscience 2016 (1), 5104907, 2016
1432016
Macroelement model for in-plane and out-of-plane responses of masonry infills in frame structures
F Di Trapani, PB Shing, L Cavaleri
Journal of Structural Engineering 144 (2), 04017198, 2018
1402018
Krill herd algorithm-based neural network in structural seismic reliability evaluation
PG Asteris, S Nozhati, M Nikoo, L Cavaleri, M Nikoo
Mechanics of Advanced Materials and Structures 26 (13), 1146-1153, 2019
1382019
Pumice concrete for structural wall panels
L Cavaleri, N Miraglia, M Papia
Engineering structures 25 (1), 115-125, 2003
1362003
Infilled frames: developments in the evaluation of cyclic behaviour under lateral loads
L Cavaleri, M Fossetti, M Papia
Structural Engineering and Mechanics, An Int'l Journal 21 (4), 469-494, 2005
1142005
Revealing the nature of metakaolin-based concrete materials using artificial intelligence techniques
PG Asteris, PB Lourenšo, PC Roussis, CE Adami, DJ Armaghani, ...
Construction and Building Materials 322, 126500, 2022
1052022
Stochastic vulnerability assessment of masonry structures: concepts, modeling and restoration aspects
PG Asteris, A Moropoulou, AD Skentou, M Apostolopoulou, A Mohebkhah, ...
Applied Sciences 9 (2), 243, 2019
1042019
Masonry infills and RC frames interaction: literature overview and state of the art of macromodeling approach
F Di Trapani, G Macaluso, L Cavaleri, M Papia
European Journal of Environmental and Civil Engineering 19 (9), 1059-1095, 2015
1042015
Parameters affecting the fundamental period of infilled RC frame structures
PG Asteris, CC Repapis, AK Tsaris, F Di Trapani, L Cavaleri
Earthquakes and Structures 9 (5), 999-1028, 2015
942015
Prediction of the additional shear action on frame members due to infills
L Cavaleri, F Di Trapani
Bulletin of Earthquake Engineering 13, 1425-1454, 2015
922015
A novel heuristic algorithm for the modeling and risk assessment of the COVID-19 pandemic phenomenon
PG Asteris, MG Douvika, CA Karamani, AD Skentou, K Chlichlia, ...
Computer Modeling in Engineering & Sciences 125 (2), 815-828, 2020
832020
Masonry compressive strength prediction using artificial neural networks
PG Asteris, I Argyropoulos, L Cavaleri, H Rodrigues, H Varum, J Thomas, ...
Transdisciplinary Multispectral Modeling and Cooperation for theá…, 2019
832019
On the fundamental period of infilled RC frame buildings
PG Asteris, CC Repapis, L Cavaleri, V Sarhosis, A Athanasopoulou
Structural Engineering and Mechanics 54 (6), 1175-1200, 2015
752015
Evaluation of infilled frames: an updated in-plane-stiffness macro-model considering the effects of vertical loads
G Campione, L Cavaleri, G Macaluso, G Amato, F Di Trapani
Bulletin of Earthquake Engineering 13, 2265-2281, 2015
742015
Prediction of surface treatment effects on the tribological performance of tool steels using artificial neural networks
L Cavaleri, PG Asteris, PP Psyllaki, MG Douvika, AD Skentou, ...
Applied Sciences 9 (14), 2788, 2019
732019
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