Panagiotis G. Asteris
Panagiotis G. Asteris
Professor, School of Pedagogical and Technological Education, Athens, Greece
Verified email at - Homepage
Cited by
Cited by
Lateral stiffness of brick masonry infilled plane frames
PG Asteris
Journal of structural engineering 129 (8), 1071-1079, 2003
Mathematical macromodeling of infilled frames: state of the art
PG Asteris, ST Antoniou, DS Sophianopoulos, CZ Chrysostomou
Journal of Structural Engineering 137 (12), 1508-1517, 2011
Mathematical micromodeling of infilled frames: state of the art
PG Asteris, DM Cotsovos, CZ Chrysostomou, A Mohebkhah, GK Al-Chaar
Engineering Structures 56, 1905-1921, 2013
Seismic vulnerability assessment of historical masonry structural systems
PG Asteris, MP Chronopoulos, CZ Chrysostomou, H Varum, V Plevris, ...
Engineering Structures 62, 118-134, 2014
Concrete compressive strength using artificial neural networks
PG Asteris, VG Mokos
Neural Computing and Applications 32 (15), 11807-11826, 2020
Finite element micro-modeling of infilled frames
PG Asteris
Electronic Journal of Structural Engineering 8, 1-11, 2008
A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength
DJ Armaghani, PG Asteris
Neural Computing and Applications 33 (9), 4501-4532, 2021
Self-compacting concrete strength prediction using surrogate models
PG Asteris, KG Kolovos
Neural Computing and Applications 31 (Suppl 1), 409-424, 2019
On the in-plane properties and capacities of infilled frames
CZ Chrysostomou, PG Asteris
Engineering structures 41, 385-402, 2012
Supervised machine learning techniques to the prediction of tunnel boring machine penetration rate
H Xu, J Zhou, P G. Asteris, D Jahed Armaghani, MM Tahir
Applied sciences 9 (18), 3715, 2019
Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures
PG Asteris, M Nikoo
Neural Computing and Applications, 1-11, 2019
Prediction of self-compacting concrete strength using artificial neural networks
PG Asteris, KG Kolovos, MG Douvika, K Roinos
European Journal of Environmental and Civil Engineering 20 (sup1), s102-s122, 2016
A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model
J Duan, PG Asteris, H Nguyen, XN Bui, H Moayedi
Engineering with Computers 37, 3329-3346, 2021
Predicting concrete compressive strength using hybrid ensembling of surrogate machine learning models
PG Asteris, AD Skentou, A Bardhan, P Samui, K Pilakoutas
Cement and Concrete Research 145, 106449, 2021
Feed-forward neural network prediction of the mechanical properties of sandcrete materials
PG Asteris, PC Roussis, MG Douvika
Sensors 17 (6), 1344, 2017
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
Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns
P Sarir, J Chen, PG Asteris, DJ Armaghani, MM Tahir
Engineering with Computers 37, 1-19, 2021
Failure modes of in-filled frames
PG Asteris, DJ Kakaletsis, C Chrysostomou, EE Smyrou
Electronic Journal of Structural Engineering 11 (1), 11-20, 2011
Masonry failure criterion under biaxial stress state
CA Syrmakezis, PG Asteris
Journal of Materials in Civil Engineering 13 (1), 58-64, 2001
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
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