Zobrazeno 1 - 3
of 3
pro vyhledávání: '"İzzettin Alhalil"'
Autor:
Izzettin Alhalil, Muhammet Fethi Gullu
Publikováno v:
Buildings, Vol 14, Iss 9, p 2967 (2024)
This paper presents a comprehensive study of five machine learning (ML) algorithms for predicting key characteristics of Reinforced Concrete (RC) structural systems. A novel dataset, ModRes, consisting of 9723 examples derived from modal and response
Externí odkaz:
https://doaj.org/article/267c2809bfb04e8893398d9e28e3b1c2
Autor:
Izzettin Alhalil, M. Fethi Gullu
Publikováno v:
Arabian Journal for Science and Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f685c01c852139cb1b7808abac5ea21
https://doi.org/10.1007/s13369-023-07914-6
https://doi.org/10.1007/s13369-023-07914-6
Autor:
İzzettin Alhalil, Fethi Güllü
Publikováno v:
Volume: 10, Issue: 3 1019-1039
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
Bitlis Eren Üniversitesi Fen Bilimleri Dergisi
Reinforced concrete (RC) frames with unreinforced masonry infill panels are common structural building systems all over the world. Although many analytical investigations and experimental observations emphasize the contribution of masonry infills to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69cb5d73abe5a6a3eaf2c0bf13492ea3
https://dergipark.org.tr/tr/pub/bitlisfen/issue/64937/888970
https://dergipark.org.tr/tr/pub/bitlisfen/issue/64937/888970
