Machine learning for structural engineering: A state-of-the-art review
HT Thai - Structures, 2022 - Elsevier
Abstract Machine learning (ML) has become the most successful branch of artificial
intelligence (AI). It provides a unique opportunity to make structural engineering more …
intelligence (AI). It provides a unique opportunity to make structural engineering more …
[PDF][PDF] An evolutionary fuzzy modelling approach and comparison of different methods for shear strength prediction of high-strength concrete beams without stirrups
In this paper, an Adaptive nerou-based inference system (ANFIS) is being used for the
prediction of shear strength of high strength concrete (HSC) beams without stirrups. The …
prediction of shear strength of high strength concrete (HSC) beams without stirrups. The …
A comparative study of machine learning algorithms for the prediction of compressive strength of rice husk ash-based concrete
The cementitious behavior of Rice Husk Ash (RHA) has caused its possible addition as a
replacement material for cement which has been proven to influence the strength of …
replacement material for cement which has been proven to influence the strength of …
Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams
The comparison of the effectiveness of artificial neural network (ANN) and linear regression
(LR) in the prediction of strain in tie section using experimental data from eight high-strength …
(LR) in the prediction of strain in tie section using experimental data from eight high-strength …
Map** the flammability space of sustainable refrigerant mixtures through an artificial neural network based on molecular descriptors
As the EU's mandates to phase out high-GWP refrigerants come into effect, the refrigeration
industry is facing a new, unexpected reality: the introduction of more flammable yet …
industry is facing a new, unexpected reality: the introduction of more flammable yet …
Modelling of the mechanical properties of concrete with cement ratio partially replaced by aluminium waste and sawdust ash using artificial neural network
U Alaneme George, M Mbadike Elvis - SN Applied Sciences, 2019 - Springer
The use of aluminium waste (AW) and sawdust ash (SDA) in concrete was evaluated in this
study where the cement ratio was partially replaced by fractions of AW and SDA introduced …
study where the cement ratio was partially replaced by fractions of AW and SDA introduced …
Improved Levenberg–Marquardt backpropagation neural network by particle swarm and whale optimization algorithms to predict the deflection of RC beams
The aim of this study is to develop a novel computer-aided method for the prediction of the
deflection of reinforced concrete beams (DRCB) under concentrated loads. To this end, in …
deflection of reinforced concrete beams (DRCB) under concentrated loads. To this end, in …
Optimization of semicircular blade profile of Savonius hydrokinetic turbine using artificial neural network
Abstract The Savonius Hydro-Kinetic Turbine (SHKT) has a frugal design with the possibility
of easy local manufacturing. Therefore, SHKT is a suitable proposition for off-grid power …
of easy local manufacturing. Therefore, SHKT is a suitable proposition for off-grid power …
Revealing the nonlinear behavior of steel flush endplate connections using ANN-based hybrid models
Connections are crucial zones in steel buildings since they provide interaction between
principal structural components (ie, beams, columns) and provide stability to the entire …
principal structural components (ie, beams, columns) and provide stability to the entire …
[HTML][HTML] Machine learning algorithms in wood ash-cement-Nano TiO2-based mortar subjected to elevated temperatures
Mortar is subjected to high temperatures during fire attacks or when it is near heat-radiating
equipment like furnaces and reactors. The physical and microstructure of mortar were …
equipment like furnaces and reactors. The physical and microstructure of mortar were …