Predicting the shear strength of concrete beam through ANFIS-GA–PSO hybrid modeling

J Li, G Yan, LH Abbud, T Alkhalifah, F Alturise… - … in Engineering Software, 2023 - Elsevier
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 …

Prediction of concrete strength in presence of furnace slag and fly ash using Hybrid ANN-GA (Artificial Neural Network-Genetic Algorithm)

M Shariati, MS Mafipour, P Mehrabi, M Ahmadi… - Smart Structures and …, 2020 - dbpia.co.kr
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 …

[PDF][PDF] Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures

M Shariati, MS Mafipour, P Mehrabi, Y Zandi… - Steel Compos …, 2019 - researchgate.net
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 …

[PDF][PDF] Identification of the most influencing parameters on the properties of corroded concrete beams using an Adaptive Neuro-Fuzzy Inference System (ANFIS)

M Shariati, MS Mafipour, JH Haido, ST Yousif… - Steel Compos …, 2020 - researchgate.net
Different parameters potentially affect the properties of corroded reinforced concrete beams.
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

ES Chahnasir, Y Zandi, M Shariati… - Smart structures and …, 2018 - koreascience.kr
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 …

A review study of application of artificial intelligence in construction management and composite beams

Y Cao, Y Zandi, AS Agdas, Q Wang, X Qian… - Steel and Composite …, 2021 - dbpia.co.kr
This paper is aimed to review the use of artificial intelligence (AI) algorithms in diverse civil
engineering applications such as predicting and evaluating the different parameters of …

[PDF][PDF] Hybrid ANN-based techniques in predicting cohesion of sandy-soil combined with fiber

DJ Armaghani, F Mirzaei, M Shariati, NT Trung… - Geomech …, 2020 - researchgate.net
Soil shear strength parameters play a remarkable role in designing geotechnical structures
such as retaining wall and dam. This study puts an effort to propose two accurate and …

Application of ANFIS technique on performance of C and L shaped angle shear connectors

Y Sedghi, Y Zandi, M Shariati, E Ahmadi… - Smart structures and …, 2018 - dbpia.co.kr
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' …

Moment rotation prediction of precast beam to column connections using extreme learning machine

M Safa, V Kachitvichyanukul - … Engineering and Mechanics, An Int'l …, 2019 - dbpia.co.kr
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 …

Analyzing shear strength of steel-concrete composite beam with angle connectors at elevated temperature using finite element method

SM Davoodnabi, SM Mirhosseini… - Steel and Composite …, 2021 - dbpia.co.kr
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 …