AI-driven design for the compressive strength of ultra-high performance geopolymer concrete (UHPGC): From explainable ensemble models to the graphical user …

M Katlav, F Ergen, I Donmez - Materials Today Communications, 2024 - Elsevier
Ultra-high performance geopolymer concrete (UHPGC) has become of interest in recent
years as a more economical and sustainable alternative while offering similar mechanical …

Investigation of optimized machine learning models with PSO for forecasting the shear capacity of steel fiber-reinforced SCC beams with/out stirrups

F Ergen, M Katlav - Journal of Building Engineering, 2024 - Elsevier
This article presents a comprehensive investigation of the applicability of optimized machine
learning (ML) models with particle swarm optimization (PSO) for forecasting the shear …

Effect of rebar arrangements on the structural behavior of RC folded plates manufactured from hybrid steel fiber-reinforced SCC

K Turk, M Katlav, P Turgut - Journal of Building Engineering, 2024 - Elsevier
In this paper, for the first time in the literature, the effect of different rebar arrangements on
the structural behavior of reinforced concrete (RC) folded plates was investigated. For this …

Investigating the applicability of deep learning and machine learning models in predicting the structural performance of V-shaped RC folded plates

M Katlav, F Ergen, K Turk, P Turgut - Materials Today Communications, 2024 - Elsevier
Reinforced concrete folded plates (RC-FPs), which are a special class of shell structures,
have recently become very popular in modern architectural and engineering applications …

Machine learning-based estimation of the out-of-plane displacement of brick infill exposed to earthquake shaking

O Onat, H Tanyıldızı - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
This study aims to develop machine learning-based prediction models for the out-of-plane
displacement of infill walls under earthquake excitation by using machine learning methods …

An experimental investigation to predict the compressive strength of lightweight Ceramsite aggregate UHPC using boosting and bagging techniques

MS Rana, F Li - Materials Today Communications, 2024 - Elsevier
Ceramsite aggregate concrete is renowned for its lightweight properties but often exhibits
low compressive strength (CS), limiting its structural applications. This study introduces ultra …

A robust approach for bond strength prediction of mortar using machine learning with SHAP interpretability

K Wu, S Zhou, Q Li, L Xu, L Yu, Y Xu, Y Zhang… - Materials Today …, 2024 - Elsevier
Application of machine learning (ML) in predicting mortars bond strength contributes to low
experimental cost and high accuracy. This study explores the performance of four ML …

[HTML][HTML] Filament geometry control of printable geopolymer using experimental and data driven approaches

AR Lori, M Mehrali - Construction and Building Materials, 2025 - Elsevier
Geopolymers are gaining attention as a viable alternative cementitious material in extrusion-
based 3D printing aimed at improving the sustainability of the construction sector. In this …

AI-guided design framework for bond behavior of steel-concrete in steel reinforced concrete composites: From dataset cleaning to feature engineering

M Katlav, ME Tabar, K Turk - Materials Today Communications, 2025 - Elsevier
This research focuses on establishing an artificial intelligence (AI)-guided design approach
for predicting bond behavior of profiled steel-concrete in steel-reinforced concrete (SRC) …

The impact of different length hooked‐end fibers on the structural performance of RC folded plates

M Katlav, K Turk, P Turgut - Structural Concrete, 2024 - Wiley Online Library
In this article, the effect of hooked‐end fibers with different lengths on the structural
performance of RC‐FPs fabricated from hybrid fiber‐reinforced self‐compacting concrete …