[HTML][HTML] Predicting Main Characteristics of Reinforced Concrete Buildings Using Machine Learning

I Alhalil, MF Gullu - Buildings, 2024 - mdpi.com
This paper presents a comprehensive study of five machine learning (ML) algorithms for
predicting key characteristics of Reinforced Concrete (RC) structural systems. A novel …

Investigating Infill Wall Configurations on 3-D Structural Systems with a Generalized Modeling Approach

I Alhalil, MF Gullu - Arabian Journal for Science and Engineering, 2023 - Springer
This study aims to assess the nonlinear behavior of reinforced concrete (RC) structural
systems having irregular configurations of unreinforced masonry (URM) infill walls. For the …

[PDF][PDF] Predicting Main Characteristics of Reinforced Concrete Buildings Using Machine Learning. Buildings 2024, 14, 2967

I Alhalil, MF Gullu - 2024 - researchgate.net
This paper presents a comprehensive study of five machine learning (ML) algorithms for
predicting key characteristics of Reinforced Concrete (RC) structural systems. A novel …

Farklı Dolgu Duvar Malzemelerinin ve Planda Yerleşimlerinin Betonarme Bir Yapının Davranışına Etkisi

S Sancıoğlu, HF Soydoğan, H Can - International Journal of …, 2022 - dergipark.org.tr
Betonarme yapıların hesaplanmasında ve projelendirilmesinde her ne kadar dolgu
duvarların etkisi ihmal edilse de dolgu duvarların yapının dayanımına ve rijitliğine etki ettiği …

[PDF][PDF] EVALUATION OF RC MULTI-STORY STRUCTURAL SYSTEMS HAVING MASONRY INFILL WALLS WITH IRREGULAR CONFIGURATIONS

İ Alhalil - 2022 - researchgate.net
The present study aims to investigate the nonlinear behavior of reinforced concrete (RC)
structural systems having unreinforced masonry (URM) infilled walls with irregular …