| 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 | 320 | 2014 |
| Mapping and holistic design of natural hydraulic lime mortars M Apostolopoulou, PG Asteris, DJ Armaghani, MG Douvika, PB Lourenço, ... Cement and concrete research 136, 106167, 2020 | 200 | 2020 |
| Prediction of concrete materials compressive strength using surrogate models W Emad, AS Mohammed, R Kurda, K Ghafor, L Cavaleri, SMA Qaidi, ... Structures 46, 1243-1267, 2022 | 194 | 2022 |
| 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 | 167 | 2016 |
| 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 | 161 | 2016 |
| 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 | 156 | 2017 |
| 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 | 153 | 2003 |
| 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 | 148 | 2018 |
| 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 | 147 | 2019 |
| Pumice concrete for structural wall panels L Cavaleri, N Miraglia, M Papia Engineering structures 25 (1), 115-125, 2003 | 138 | 2003 |
| Revealing the nature of metakaolin-based concrete materials using artificial intelligence techniques PG Asteris, PB Lourenço, PC Roussis, CE Adami, DJ Armaghani, ... Construction and Building Materials 322, 126500, 2022 | 132 | 2022 |
| Infilled frames: developments in the evaluation of cyclic behaviour under lateral loads L Cavaleri, M Fossetti, M Papia Structural engineering and mechanics: An international journal 21 (4), 469-494, 2005 | 118 | 2005 |
| 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 | 116 | 2015 |
| 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 | 115 | 2015 |
| 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 | 112 | 2019 |
| Convolution-based ensemble learning algorithms to estimate the bond strength of the corroded reinforced concrete L Cavaleri, MS Barkhordari, CC Repapis, DJ Armaghani, DV Ulrikh, ... Construction and Building Materials 359, 129504, 2022 | 106 | 2022 |
| 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 | 99 | 2015 |
| 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 the …, 2019 | 92 | 2019 |
| 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 | 86 | 2020 |
| 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 | 79 | 2019 |
Panagiotis G. AsterisProfessor, School of Pedagogical and Technological Education, Athens, Greeceยืนยันอีเมลแล้วที่ aspete.gr