Panagiotis G. Asteris

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Danial Jahed Armaghani, PhDUniversity of Technology SydneyVerifisert e-postadresse på uts.edu.au
Liborio CavaleriProfessor of Structural Engineering and Sesimic Design, University of Palermo, Department ofVerifisert e-postadresse på unipa.it
Athanasia D. SkentouComputational Mechanics Laboratory, School of Pedagogical and Technological Education, AthensVerifisert e-postadresse på civil.aspete.gr
Ahmed Salih MohammedAssociate professor, College of Engineering , University of Sulaimani, Kurdistan, Region, IraqVerifisert e-postadresse på univsul.edu.iq
Maria G. DouvikaComputational Mechanics Laboratory, School of Pedagogical and Technological Education, AthensVerifisert e-postadresse på master.aspete.gr
Abidhan BardhanNIT PATNAVerifisert e-postadresse på nitp.ac.in
Christis Z. ChrysostomouProfessor, Cyprus University of TechnologyVerifisert e-postadresse på cut.ac.cy
Professor Pijush SamuiProfessor, Dean(P &D), NIT Patna;Guest Professor, USTB Beijing; Title of Docent, Tampere UniversityVerifisert e-postadresse på nitp.ac.in
Maria ApostolopoulouPhD candidate at School of Chemical Engineering (National Technical University of Athens)Verifisert e-postadresse på central.ntua.gr
Dr. Anna MamouSchool of Pedagogical & Technological Education, Athens, GreeceVerifisert e-postadresse på ta.aspete.gr
Paulo B LourencoProfessor, ISISE, University of Minho / Universidade do Minho, Dep. Civil Engineering, PortugalVerifisert e-postadresse på civil.uminho.pt
Vasilis SarhosisProfessor of Resilient Structures & Infrastructure, School of Civil Engineering, UniversityVerifisert e-postadresse på Leeds.ac.uk
Jian ZhouProfessor, School of Resources and Safety Engineering, Central South UniversityVerifisert e-postadresse på csu.edu.cn
Panayiotis C. RoussisDepartment of Civil & Environmental Engineering, University of CyprusVerifisert e-postadresse på ucy.ac.cy
Mohsen HajihassaniAssociate Professor, Department of Mining, Faculty of Engineering, Urmia UniversityVerifisert e-postadresse på urmia.ac.ir
Amin MohebkhahAssociate Professor of Structural Eng., Dept. of Civil Eng., Malayer UniversityVerifisert e-postadresse på malayeru.ac.ir
Humberto VarumProfessor at Faculty of Engineering of the University of Porto, FEUP, Civil Engineering DepartmentVerifisert e-postadresse på fe.up.pt
Kypros PilakoutasProfessor of Construction Innovation, University of SheffieldVerifisert e-postadresse på sheffield.ac.uk
Tien-Thinh LeFaculty of Mechanical Engineering and Mechatronics, Phenikaa University, Hanoi, VietnamVerifisert e-postadresse på phenikaa-uni.edu.vn
Nikolaos M. VaxevanidisProfessor of Manufacturing Technology, Dept. of Mechanical Engineering, ASPETEVerifisert e-postadresse på aspete.gr

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Panagiotis G. Asteris

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

Verifisert e-postadresse på aspete.gr - Startside

Computational Mechanics Machine Learning Masonry Structures Structural Engineering


Tittel Sorter etter sitater Sorter etter år Sorter etter tittel	Sitert av Sitert av	År
Lateral stiffness of brick masonry infilled plane frames PG Asteris Journal of structural engineering 129 (8), 1071-1079, 2003	517	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	475	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	427	2021
Concrete compressive strength using artificial neural networks PG Asteris, VG Mokos Neural Computing and Applications 32 (15), 11807-11826, 2020	402	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	377	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	314	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	293	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	284	2014
Self-compacting concrete strength prediction using surrogate models PG Asteris, KG Kolovos Neural Computing and Applications 31, 409-424, 2019	259	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	241	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	226	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	209	2016
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
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	200	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	199	2021
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	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	194	2022
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	188	2020
Feed-forward neural network prediction of the mechanical properties of sandcrete materials PG Asteris, PC Roussis, MG Douvika Sensors 17 (6), 1344, 2017	181	2017

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