Practical artificial neural network tool for predicting the axial compression capacity of circular concrete-filled steel tube columns with ultra-high-strength concrete
This paper aims to develop a practical artificial neural network tool for predicting the axial
compression capacity of circular concrete-filled steel tube columns with ultra-high-strength …
compression capacity of circular concrete-filled steel tube columns with ultra-high-strength …
Prediction of the FRP reinforced concrete beam shear capacity by using ELM-CRFOA
RMA Ikram, HL Dai, M Al-Bahrani, M Mamlooki - Measurement, 2022 - Elsevier
In reinforced concrete structures, the utilization of composite rebar has been increased by
considering their high corrosion resistance, anti-magnetic properties, and significant tensile …
considering their high corrosion resistance, anti-magnetic properties, and significant tensile …
Application of soft computing methods for predicting the elastic modulus of recycled aggregate concrete
EM Golafshani, A Behnood - Journal of cleaner production, 2018 - Elsevier
The use of recycled concrete aggregate (RCA) as a replacement for natural aggregate in
concrete mixtures provides a wide variety of benefits such as reduced cost and pollution …
concrete mixtures provides a wide variety of benefits such as reduced cost and pollution …
Predicting the compressive strength of self‐compacting concrete containing Class F fly ash using metaheuristic radial basis function neural network
The use of Class F fly ash (CFFA) as a partial replacement of cement in the concrete mixture
can provide a wide variety benefits such as improving the mechanical properties, reducing …
can provide a wide variety benefits such as improving the mechanical properties, reducing …
Bayesian optimization algorithm based support vector regression analysis for estimation of shear capacity of FRP reinforced concrete members
MS Alam, N Sultana, SMZ Hossain - Applied Soft Computing, 2021 - Elsevier
The use of fiber-reinforced polymer (FRP) rebars in lieu of steel rebars has led to some
deviations in the shear behavior of concrete members. Several methods have been …
deviations in the shear behavior of concrete members. Several methods have been …
Predicting shear strength of FRP-reinforced concrete beams using novel synthetic data driven deep learning
Abstract Machine learning algorithms have emerged as a powerful technique to predict the
engineering properties of composite materials and structures where traditional statistical …
engineering properties of composite materials and structures where traditional statistical …
Estimating the optimal mix design of silica fume concrete using biogeography-based programming
EM Golafshani, A Behnood - Cement and Concrete Composites, 2019 - Elsevier
The use of silica fume in concrete mixtures has been dramatically increased in concrete
industry, especially for achieving high strength concrete. An accurate model of estimating …
industry, especially for achieving high strength concrete. An accurate model of estimating …
Assessment of punching shear strength of FRP-RC slab-column connections using machine learning algorithms
Recently, the use of fiber-reinforced polymer (FRP) bars replacing steel reinforcement has
been widely applied to overcome the corrosion issue, particularly concrete slab-column …
been widely applied to overcome the corrosion issue, particularly concrete slab-column …
[HTML][HTML] Prediction of shear capacity of RC beams strengthened with FRCM composite using hybrid ANN-PSO model
The aim of this study is to develop a hybrid Artificial Neural Network-Particle Swarm
Optimization (ANN-PSO) model for improving shear strength prediction of reinforced …
Optimization (ANN-PSO) model for improving shear strength prediction of reinforced …
[HTML][HTML] Ensemble machine learning-based approach for predicting of FRP–concrete interfacial bonding
Developments in fiber-reinforced polymer (FRP) composite materials have created a huge
impact on civil engineering techniques. Bonding properties of FRP led to its wide usage with …
impact on civil engineering techniques. Bonding properties of FRP led to its wide usage with …