Predicting the shear strength of concrete beam through ANFIS-GA–PSO hybrid modeling
In this study, we developed an ANFIS-GA-PSO hybrid model for predicting the shear
strength of concrete beams. Predicting the shear strength of concrete beams before …
strength of concrete beams. Predicting the shear strength of concrete beams before …
Prediction of concrete strength in presence of furnace slag and fly ash using Hybrid ANN-GA (Artificial Neural Network-Genetic Algorithm)
Mineral admixtures have been widely used to produce concrete. Pozzolans have been
utilized as partially replacement for Portland cement or blended cement in concrete based …
utilized as partially replacement for Portland cement or blended cement in concrete based …
Application of a hybrid artificial neural network-particle swarm optimization (ANN-PSO) model in behavior prediction of channel shear connectors embedded in normal …
Featured Application Behavior prediction of channel shear connectors in normal and high-
strength concrete (HSC) without conducting costly experiments. Abstract Channel shear …
strength concrete (HSC) without conducting costly experiments. Abstract Channel shear …
A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques
Shear connectors play a prominent role in the design of steel-concrete composite systems.
The behavior of shear connectors is generally determined through conducting push-out …
The behavior of shear connectors is generally determined through conducting push-out …
[PDF][PDF] Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures
This study is aimed to predict the behaviour of channel shear connectors in composite floor
systems at different temperatures. For this purpose, a soft computing approach is adopted …
systems at different temperatures. For this purpose, a soft computing approach is adopted …
[PDF][PDF] Identification of the most influencing parameters on the properties of corroded concrete beams using an Adaptive Neuro-Fuzzy Inference System (ANFIS)
Different parameters potentially affect the properties of corroded reinforced concrete beams.
However, the high number of these parameters and their dependence cause that the …
However, the high number of these parameters and their dependence cause that the …
[HTML][HTML] Application of support vector machine with firefly algorithm for investigation of the factors affecting the shear strength of angle shear connectors
The factors affecting the shear strength of the angle shear connectors in the steel-concrete
composite beams can play an important role to estimate the efficacy of a composite beam …
composite beams can play an important role to estimate the efficacy of a composite beam …
Application of ANFIS technique on performance of C and L shaped angle shear connectors
The behavior of concrete slabs in composite beam with C and L shaped angle shear
connectors has been studied in this paper. These two types of angle shear connectors' …
connectors has been studied in this paper. These two types of angle shear connectors' …
Moment rotation prediction of precast beam to column connections using extreme learning machine
The performance of precast concrete structures is greatly influenced by the behaviour of
beam-to-column connections. A single connection may be required to transfer several loads …
beam-to-column connections. A single connection may be required to transfer several loads …
Analyzing shear strength of steel-concrete composite beam with angle connectors at elevated temperature using finite element method
Steel-concrete composite beams are widely used in the construction of tall building with
steel floors. In these floors, the bearing capacity of beams in which the performance of …
steel floors. In these floors, the bearing capacity of beams in which the performance of …