Prediction of concrete and FRC properties at high temperature using machine and deep learning: a review of recent advances and future perspectives

NF Alkayem, L Shen, A Mayya, PG Asteris, R Fu… - Journal of Building …, 2023 - Elsevier
Concrete structures when exposed to elevated temperature significantly decline their
original properties. High temperatures substantially affect the concrete physical and …

Eco-friendly agro-waste based geopolymer-concrete: A systematic review

GU Alaneme, KA Olonade, E Esenogho - Discover Materials, 2023 - Springer
Numerous scientific studies have been conducted, and a wide range of new inorganic
geopolymer composite applications have emerged as a result. This innovative material can …

Evaluation of sisal fiber and aluminum waste concrete blend for sustainable construction using adaptive neuro-fuzzy inference system

CD Agor, EM Mbadike, GU Alaneme - Scientific Reports, 2023 - nature.com
This research study presents evaluation of aluminum waste-sisal fiber concrete's
mechanical properties using adaptive neuro-fuzzy inference system (ANFIS) to achieve …

Soft computing techniques for predicting the properties of raw rice husk concrete bricks using regression-based machine learning approaches

N Ganasen, L Krishnaraj, KC Onyelowe… - Scientific Reports, 2023 - nature.com
In this study, the replacement of raw rice husk, fly ash, and hydrated lime for fine aggregate
and cement was evaluated in making raw rice husk-concrete brick. This study optimizes …

Prediction of cost and duration of building construction using artificial neural network

JA Ujong, EM Mbadike, GU Alaneme - Asian Journal of Civil Engineering, 2022 - Springer
In this research study, the investigation of building details on the construction project cost
and duration using artificial neural networks (ANNs) which possesses the ability to …

Scheffe's simplex optimization of flexural strength of quarry dust and sawdust ash pervious concrete for sustainable pavement construction

DE Ewa, JO Ukpata, ON Otu, ZA Memon, GU Alaneme… - Materials, 2023 - mdpi.com
Pervious concrete provides a tailored surface course with high permeability properties which
permit the easy flow of water through a larger interconnected porous structure to prevent …

Application of neural networks and neuro-fuzzy models in construction scheduling

JI Obianyo, RC Udeala, GU Alaneme - Scientific Reports, 2023 - nature.com
Construction scheduling is a complex process that involves a large number of variables,
making it difficult to develop accurate and efficient schedules. Traditional scheduling …

Experimental investigation and modelling of the mechanical properties of palm oil fuel ash concrete using Scheffe's method

GA Akeke, PEU Inem, GU Alaneme, EE Nyah - Scientific Reports, 2023 - nature.com
This study explores the enhancement of mechanical properties in concrete blended with
palm oil fuel ash (POFA) through Scheffe's optimization. The utilization of POFA as …

Critical review on the application of artificial intelligence techniques in the production of geopolymer-concrete

GU Alaneme, KA Olonade, E Esenogho - SN Applied Sciences, 2023 - Springer
The need to employ technology that replaces traditional engineering methods which
generate gases that worsen our environment has emerged in an era of dwindling ecosystem …

[HTML][HTML] Scheffe's approach for single additive optimization in selected soils amelioration studies for cleaner environment and sustainable subgrade materials

IC Attah, RK Etim, GU Alaneme, DU Ekpo, IN Usanga - Cleaner Materials, 2022 - Elsevier
Soil materials with poor engineering performance such as those rich in clay are prevalent
across the globe. The clayey nature of these soils is of one the factors responsible for the …