O.O. Akinkurolere

Application of response surface methodology: Predicting and optimizing the properties of concrete containing steel fibre extracted from waste tires with limestone powder as filler

Temitope Funmilayo Awolusi, O.L. Oke, O.O. Akinkurolere et al. · Case Studies in Construction Materials · 2018 · 164 citations · Full text

Architecture, Materials Engineering, Materials Science +17

Performance comparison of neural network training algorithms in the modeling properties of steel fiber reinforced concrete

Temitope Funmilayo Awolusi, O.L. Oke, O.O. Akinkurolere et al. · Heliyon · 2019 · 81 citations · Full text

Engineering, Materials Engineering, Materials Science +17

Effects of calcined clay, sawdust ash and chemical admixtures on Strength and Properties of concrete for pavement and flooring applications using Taguchi approach

Temitope Funmilayo Awolusi, Adebayo Olatunbosun Sojobi, Daniel Oguntayo et al. · Case Studies in Construction Materials · 2021 · 44 citations · Full text

Engineering, Civil Engineering, Materials Engineering +17

Comparison of response surface methodology and hybrid-training approach of artificial neural network in modelling the properties of concrete containing steel fibre extracted from waste tyres

Temitope Funmilayo Awolusi, O.L. Oke, O.O. Akinkurolere et al. · Cogent Engineering · 2019 · 39 citations · Full text

Architecture, Materials Engineering, Materials Science +17

The Application of Response Surface Methodology in Understanding the Compressive Strength and Water Absorption Capacity of Sandcrete Blocks

Temitope Funmilayo Awolusi, O.L. Oke, O.O. Akinkurolere et al. · Silicon · 2020 · 16 citations

Engineering, Civil Engineering, Materials Engineering +15