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Panagiotis G. Asteris
Panagiotis G. Asteris
Professor, School of Pedagogical and Technological Education, Athens, Greece
Verified email at aspete.gr - Homepage
Title
Cited by
Cited by
Year
Lateral stiffness of brick masonry infilled plane frames
PG Asteris
Journal of structural engineering 129 (8), 1071-1079, 2003
4892003
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
4392011
Concrete compressive strength using artificial neural networks
PG Asteris, VG Mokos
Neural Computing and Applications 32 (15), 11807-11826, 2020
3222020
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
3062021
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
2882021
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
2762013
Seismic vulnerability assessment of historical masonry structural systems
PG Asteris, MP Chronopoulos, CZ Chrysostomou, H Varum, V Plevris, ...
Engineering Structures 62, 118-134, 2014
2682014
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
2392021
Self-compacting concrete strength prediction using surrogate models
PG Asteris, KG Kolovos
Neural Computing and Applications 31, 409-424, 2019
2182019
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
2042019
Finite element micro-modeling of infilled frames
PG Asteris
Electronic Journal of Structural Engineering 8, 1-11, 2008
1972008
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
1852019
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
1812021
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, s102-s122, 2016
1792016
On the in-plane properties and capacities of infilled frames
CZ Chrysostomou, PG Asteris
Engineering structures 41, 385-402, 2012
1722012
Feed-forward neural network prediction of the mechanical properties of sandcrete materials
PG Asteris, PC Roussis, MG Douvika
Sensors 17 (6), 1344, 2017
1622017
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
Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models
J Zhou, PG Asteris, DJ Armaghani, BT Pham
Soil Dynamics and Earthquake Engineering 139, 106390, 2020
1602020
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
1532020
Predicting the shear strength of reinforced concrete beams using Artificial Neural Networks
PG Asteris, DJ Armaghani, GD Hatzigeorgiou, CG Karayannis, ...
Computers and Concrete, An International Journal 24 (5), 469-488, 2019
1522019
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