Hybridization of metaheuristic algorithms with adaptive neuro-fuzzy inference system to predict load-slip behavior of angle shear connectors at elevated temperatures

M Shariati, SM Davoodnabi, A Toghroli, Z Kong… - Composite structures, 2021 - Elsevier
Abstract Steel-Concrete Composite floor systems are one of the essential components in the
construction industry. Recent studies have shown that fire-induced problems damage shear …

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 …

A novel approach to predict shear strength of tilted angle connectors using artificial intelligence techniques

M Shariati, MS Mafipour, P Mehrabi, A Shariati… - Engineering with …, 2021 - Springer
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 …

[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 …

Behavior of steel storage pallet racking connection-A review

C Chen, L Shi, M Shariati, A Toghroli, ET Mohamad… - 2019 - engrxiv.org
Steel pallet racking industry has globally used from the industrial revolution and has deeply
evolved from hot-rolled profile into cold-formed profile to raise the optimization in …

[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 …

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 - dbpia.co.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 …

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 …