Panagiotis G. Asteris

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Danial Jahed Armaghani, PhDUniversity of Technology SydneyVerified email at uts.edu.au
Liborio CavaleriProfessor of Structural Engineering and Sesimic Design, University of Palermo, Department ofVerified email at unipa.it
Athanasia D. SkentouComputational Mechanics Laboratory, School of Pedagogical and Technological Education, AthensVerified email at civil.aspete.gr
Ahmed Salih MohammedAssociate professor, College of Engineering , University of Sulaimani, Kurdistan, Region, IraqVerified email at univsul.edu.iq
Maria G. DouvikaComputational Mechanics Laboratory, School of Pedagogical and Technological Education, AthensVerified email at master.aspete.gr
Abidhan BardhanNIT PATNAVerified email at nitp.ac.in
Christis Z. ChrysostomouProfessor, Cyprus University of TechnologyVerified email at cut.ac.cy
Professor Pijush SamuiProfessor, Dean(P &D), NIT Patna;Guest Professor, USTB Beijing; Title of Docent, Tampere UniversityVerified email at nitp.ac.in
Maria ApostolopoulouPhD candidate at School of Chemical Engineering (National Technical University of Athens)Verified email at central.ntua.gr
Dr. Anna MamouSchool of Pedagogical & Technological Education, Athens, GreeceVerified email at ta.aspete.gr
Paulo B LourencoProfessor, ISISE, University of Minho / Universidade do Minho, Dep. Civil Engineering, PortugalVerified email at civil.uminho.pt
Vasilis SarhosisProfessor of Resilient Structures & Infrastructure, School of Civil Engineering, UniversityVerified email at Leeds.ac.uk
Jian ZhouProfessor, School of Resources and Safety Engineering, Central South UniversityVerified email at csu.edu.cn
Panayiotis C. RoussisDepartment of Civil & Environmental Engineering, University of CyprusVerified email at ucy.ac.cy
Mohsen HajihassaniAssociate Professor, Department of Mining, Faculty of Engineering, Urmia UniversityVerified email at urmia.ac.ir
Amin MohebkhahAssociate Professor of Structural Eng., Dept. of Civil Eng., Malayer UniversityVerified email at malayeru.ac.ir
Humberto VarumProfessor at Faculty of Engineering of the University of Porto, FEUP, Civil Engineering DepartmentVerified email at fe.up.pt
Kypros PilakoutasProfessor of Construction Innovation, University of SheffieldVerified email at sheffield.ac.uk
Nikolaos M. VaxevanidisProfessor of Manufacturing Technology, Dept. of Mechanical Engineering, ASPETEVerified email at aspete.gr
George D. HatzigeorgiouProfessor - Director of Structural Technology and Applied Mechanics Lab. at Hellenic Open UniversityVerified email at eap.gr

Panagiotis G. Asteris

Professor, School of Pedagogical and Technological Education, Athens, Greece

Verified email at aspete.gr - Homepage

Computational Mechanics Machine Learning Masonry Structures Structural Engineering


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Lateral stiffness of brick masonry infilled plane frames PG Asteris Journal of structural engineering 129 (8), 1071-1079, 2003	511	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	464	2011
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	412	2021
Concrete compressive strength using artificial neural networks PG Asteris, VG Mokos Neural Computing and Applications 32 (15), 11807-11826, 2020	391	2020
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	375	2021
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	309	2021
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	292	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	288	2014
Self-compacting concrete strength prediction using surrogate models PG Asteris, KG Kolovos Neural Computing and Applications 31, 409-424, 2019	255	2019
Machine learning techniques and multi-scale models to evaluate the impact of silicon dioxide (SiO2) and calcium oxide (CaO) in fly ash on the compressive strength of green concrete DKI Jaf, PI Abdulrahman, AS Mohammed, R Kurda, SMA Qaidi, ... Construction and Building Materials 400, 132604, 2023	239	2023
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	222	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	206	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, s102-s122, 2016	203	2016
Finite element micro-modeling of infilled frames PG Asteris Electronic Journal of Structural Engineering 8, 1-11, 2008	203	2008
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	202	2020
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	197	2021
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	190	2022
Prediction of cement-based mortars compressive strength using machine learning techniques PG Asteris, M Koopialipoor, DJ Armaghani, EA Kotsonis, PB Lourenço Neural Computing and Applications 33 (19), 13089-13121, 2021	188	2021
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	186	2020
Feed-forward neural network prediction of the mechanical properties of sandcrete materials PG Asteris, PC Roussis, MG Douvika Sensors 17 (6), 1344, 2017	180	2017

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