Data-driven modeling of mechanical properties of fiber-reinforced concrete: a critical review

F Kazemi, T Shafighfard, DY Yoo - Archives of Computational Methods in …, 2024 - Springer
Fiber-reinforced concrete (FRC) is extensively used in diverse structural engineering
applications, and its mechanical properties are crucial for designing and evaluating its …

Revolutionizing concrete analysis: An in-depth survey of AI-powered insights with image-centric approaches on comprehensive quality control, advanced crack …

K Sarkar, A Shiuly, KG Dhal - Construction and Building Materials, 2024 - Elsevier
Over the last two decades, the integration of big data and deep learning technologies has
demonstrated remarkable effectiveness across various domains of civil engineering, leading …

Predicting compressive strength of eco-friendly plastic sand paver blocks using gene expression and artificial intelligence programming

B Iftikhar, SC Alih, M Vafaei, MF Javed, MF Rehman… - Scientific reports, 2023 - nature.com
Plastic sand paver blocks provide a sustainable alternative by using plastic waste and
reducing the need for cement. This innovative approach leads to a more sustainable …

Artificial intelligence-based optimized models for predicting the slump and compressive strength of sustainable alkali-derived concrete

B Zou, Y Wang, MN Amin, B Iftikhar, K Khan… - … and Building Materials, 2023 - Elsevier
Alkali-activated materials (AAMs) are a potential class of construction materials that are well-
known for their versatility and capacity for long-term sustainability. As a result of its ability to …

Comparison of various machine learning algorithms used for compressive strength prediction of steel fiber-reinforced concrete

SS Pakzad, N Roshan, M Ghalehnovi - Scientific Reports, 2023 - nature.com
Adding hooked industrial steel fibers (ISF) to concrete boosts its tensile and flexural strength.
However, the understanding of ISF's influence on the compressive strength (CS) behavior of …

Use of interpretable machine learning approaches for quantificationally understanding the performance of steel fiber-reinforced recycled aggregate concrete: From the …

S Zhang, W Chen, J Xu, T Xie - Engineering Applications of Artificial …, 2024 - Elsevier
In this study, four machine learning (ML) algorithms, namely Support Vector Machine (SVM),
Back-propagation Artificial Neural Network (BP-ANN), Adaptive Boosting (AdaBoost), and …

Interpretable machine learning for predicting the strength of 3D printed fiber-reinforced concrete (3DP-FRC)

MN Uddin, J Ye, B Deng, L Li, K Yu - Journal of Building Engineering, 2023 - Elsevier
This study aims to provide an effective and accurate machine learning approach to predict
the compressive strength (CS) and flexural strength (FS) of 3D printed fiber reinforced …

[HTML][HTML] Hybrid machine learning approach to prediction of the compressive and flexural strengths of UHPC and parametric analysis with shapley additive …

P Das, A Kashem - Case Studies in Construction Materials, 2024 - Elsevier
Ultra-high-performance concrete (UHPC) is a sustainable construction material; it can be
applied as a substitute for cement concrete. Artificial intelligence methods have been used …

Application of artificial intelligence in predicting the residual mechanical properties of fiber reinforced concrete (FRC) after high temperatures

V Farhangi, MJ Moradi, K Daneshvar… - Construction and Building …, 2024 - Elsevier
The practical application of Artificial Intelligence (AI) approaches in estimating the
mechanical properties of fiber-reinforced concrete (FRC) subjected to high temperatures …

Interpretable predictive modelling of basalt fiber reinforced concrete splitting tensile strength using ensemble machine learning methods and SHAP approach

C Cakiroglu, Y Aydın, G Bekdaş, ZW Geem - Materials, 2023 - mdpi.com
Basalt fibers are a type of reinforcing fiber that can be added to concrete to improve its
strength, durability, resistance to cracking, and overall performance. The addition of basalt …