A review on material mix proportion and strength influence parameters of geopolymer concrete: Application of ANN model for GPC strength prediction

S Paruthi, A Husain, P Alam, AH Khan… - … and Building Materials, 2022 - Elsevier
Concrete is a combination of cement, sand, aggregate, and water. Cement manufacturing
causes the generation of various gases, mainly greenhouse gases like CO 2 in the …

[HTML][HTML] Sustainable cement replacement using waste eggshells: A review on mechanical properties of eggshell concrete and strength prediction using artificial neural …

S Paruthi, AH Khan, A Kumar, F Kumar… - Case Studies in …, 2023 - Elsevier
Abstract Though the European Commission classifies eggshell as a hazardous material,
using eggshell powder in place of cement can aid in waste reduction and contribute to …

[HTML][HTML] Predictive performance assessment of recycled coarse aggregate concrete using artificial intelligence: A review

P Kumari, S Paruthi, A Alyaseen, AH Khan, A Jijja - Cleaner Materials, 2024 - Elsevier
Recycled coarse aggregate concrete enables the creation of environmentally friendly and
cost-effective mixes. It helps address the disposal problem of demolition concrete waste …

Compressive Strength Evaluation of Fiber‐Reinforced High‐Strength Self‐Compacting Concrete with Artificial Intelligence

TT Nguyen, H Pham Duy… - Advances in Civil …, 2020 - Wiley Online Library
This paper describes the application of two artificial intelligence‐(AI‐) based methods to
predict the 28‐day compressive strength of fiber‐reinforced high‐strength self‐compacting …

[PDF][PDF] A neural network approach for predicting hardened property of geopolymer concrete

TT Pham, TT Nguyen, LN Nguyen… - GEOMATE …, 2020 - geomatejournal.com
This paper presents the application of an Artificial Neural Network (ANN) approach to predict
the 28-day compression strength of Geopolymer concrete (GPC) from the input ingredients …

A study of factors affecting GPR signal amplitudes in reinforced structures using deep belief networks

TT Nguyen, PT Tung, NN Tan, NN Linh, TT Luc - Infrastructures, 2022 - mdpi.com
The applications of the deep belief network (DBN) for addressing practical engineering
issues have recently emerged all over the world thanks to its accuracy and availability of …

[PDF][PDF] Machine learning-based model for predicting concrete compressive strength

TT Nguyen, LT Ngoc, HH Vu, TP Thanh - GEOMATE Journal, 2021 - geomatejournal.com
This study aims at applying a machine learning-based model to establish the relationship
between different input variables to the 28-day compressive strength of normal and High …

Predicting GPR Signals from Concrete Structures Using Artificial Intelligence‐Based Method

W Zatar, TT Nguyen, H Nguyen - Advances in Civil Engineering, 2021 - Wiley Online Library
This paper presents the application of an Artificial Intelligence‐based method in analyzing
the effects of environmental conditions, chloride contamination in concrete, and surface …

Mixture Design Study of Fiber‐Reinforced Self‐Compacting Concrete for Prefabricated Street Light Post Structures

W Zatar, T Nguyen - Advances in Civil Engineering, 2020 - Wiley Online Library
In recent years, there has been an increasing demand to produce strong precast street light
posts that are aesthetically pleasing. This study presents experimental results of a …

Evaluation of modulus of elasticity for eco-friendly concrete made with seawater and marine sand

TT Nguyen, PT Tung, K Hossain - Journal of Science and …, 2021 - stce.huce.edu.vn
The ultimate aim of this study is to use experimental work for evaluating the modulus of
elasticity (MOE) of Geopolymer concrete (GPC) using marine sand as fine aggregate and …