Prediction of concrete and FRC properties at high temperature using machine and deep learning: a review of recent advances and future perspectives
Concrete structures when exposed to elevated temperature significantly decline their
original properties. High temperatures substantially affect the concrete physical and …
original properties. High temperatures substantially affect the concrete physical and …
Critical review on the application of artificial intelligence techniques in the production of geopolymer-concrete
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 …
generate gases that worsen our environment has emerged in an era of dwindling ecosystem …
Development of performance-based models for green concrete using multiple linear regression and artificial neural network
The impact of process inputs and critical performance parameters on product quality is an
important aspect of production and this is also true for concrete. There has been an …
important aspect of production and this is also true for concrete. There has been an …
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 …
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
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 …
and cement was evaluated in making raw rice husk-concrete brick. This study optimizes …
Investigating the potential of waste glass in paver block production using RSM
The global surge in glass waste generation, exceeding 130 million tons annually, presents a
pressing environmental issue, compounded by inadequate recycling practices, it is …
pressing environmental issue, compounded by inadequate recycling practices, it is …
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 …
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
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 …
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 …
making it difficult to develop accurate and efficient schedules. Traditional scheduling …
Effects of aggregate sizes on the performance of laterized concrete
Due to the high costs of traditional concrete materials in Nigeria, such as river sand, there is
an increasing demand to explore alternative materials like laterite for fine aggregates …
an increasing demand to explore alternative materials like laterite for fine aggregates …