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 …
Hybridization of metaheuristic algorithms with adaptive neuro-fuzzy inference system to predict load-slip behavior of angle shear connectors at elevated temperatures
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 …
construction industry. Recent studies have shown that fire-induced problems damage 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 …
A review study of application of artificial intelligence in construction management and composite beams
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 …
engineering applications such as predicting and evaluating the different parameters of …
[HTML][HTML] Estimation of moment and rotation of steel rack connections using extreme learning machine
The estimation of moment and rotation in steel rack connections could be significantly
helpful parameters for designers and constructors in the initial designing and construction …
helpful parameters for designers and constructors in the initial designing and construction …
[PDF][PDF] Hybrid ANN-based techniques in predicting cohesion of sandy-soil combined with fiber
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 …
such as retaining wall and dam. This study puts an effort to propose two accurate and …
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 …
beam-to-column connections. A single connection may be required to transfer several loads …
Analytical assessment of the structural behavior of a specific composite floor system at elevated temperatures using a newly developed hybrid intelligence method
S Han, Z Zhu, M Mortazavi, AM El-Sherbeeny… - Buildings, 2023 - mdpi.com
The aim of this paper is to study the performance of a composite floor system at different heat
stages using artificial intelligence to derive a sustainable design and to select the most …
stages using artificial intelligence to derive a sustainable design and to select the most …