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 …

Compressive strength prediction of lightweight concrete: Machine learning models

A Kumar, HC Arora, NR Kapoor, MA Mohammed… - Sustainability, 2022 - mdpi.com
Concrete is the most commonly used construction material. The physical properties of
concrete vary with the type of concrete, such as high and ultra-high-strength concrete, fibre …

Machine Learning‐Based CO2 Prediction for Office Room: A Pilot Study

NR Kapoor, A Kumar, A Kumar, A Kumar… - Wireless …, 2022 - Wiley Online Library
Air pollution is increasing profusely in Indian cities as well as throughout the world, and it
poses a major threat to climate as well as the health of all living things. Air pollution is the …

Performance prognosis of FRCM-to-concrete bond strength using ANFIS-based fuzzy algorithm

A Kumar, HC Arora, K Kumar, H Garg - Expert Systems with Applications, 2023 - Elsevier
Nowadays, strengthening of reinforced concrete structures with a new class of sustainable
materials is the possible solution to retrofit the aged deteriorated structures. It is difficult to …

Prediction of bending strength of glass fiber reinforced methacrylate-based pipeline UV-CIPP rehabilitation materials based on machine learning

Y Xia, C Zhang, C Wang, H Liu, X Sang, R Liu… - … and Underground Space …, 2023 - Elsevier
Ultraviolet cured-in-place-pipe (UV-CIPP) materials are commonly used in trenchless
pipeline rehabilitation. Their bending strength is a crucial indicator to evaluate the curing …

Enhancing sustainability of corroded RC structures: Estimating steel-to-concrete bond strength with ANN and SVM algorithms

R Singh, HC Arora, A Bahrami, A Kumar, NR Kapoor… - Materials, 2022 - mdpi.com
The bond strength between concrete and corroded steel reinforcement bar is one of the
main responsible factors that affect the ultimate load-carrying capacity of reinforced concrete …

Prognosis of compressive strength of fly‐ash‐based geopolymer‐modified sustainable concrete with ML algorithms

A Kumar, HC Arora, NR Kapoor, K Kumar - Structural Concrete, 2023 - Wiley Online Library
Sustainable concrete is the demand of the present era to reduce carbon emissions. Fly‐ash‐
based geopolymer (FLAG) concrete has been used in the construction industry for more …

Development of a reliable machine learning model to predict compressive strength of FRP-confined concrete cylinders

P Kumar, HC Arora, A Bahrami, A Kumar, K Kumar - Buildings, 2023 - mdpi.com
The degradation of reinforced concrete (RC) structures has raised major concerns in the
concrete industry. The demolition of existing structures has shown to be an unsustainable …

Axial capacity of FRP-reinforced concrete columns: Computational intelligence-based prognosis for sustainable structures

HC Arora, S Kumar, DPN Kontoni, A Kumar, M Sharma… - Buildings, 2022 - mdpi.com
Due to the corrosion problem in reinforced concrete structures, the use of fiber-reinforced
polymer (FRP) bars may be preferred in place of traditional reinforcing steel. FRP bars are …

A novel CNN-LSTM hybrid model for prediction of electro-mechanical impedance signal based bond strength monitoring

L Parida, S Moharana, VM Ferreira, SK Giri… - Sensors, 2022 - mdpi.com
The recent application of deep learning for structural health monitoring systems for damage
detection has potential for improvised structure performance and maintenance for long term …