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 …

Human development index in a context of human development: Review on the western Balkans countries

B Dasic, Z Devic, N Denic, D Zlatkovic, ID Ilic… - Brain and …, 2020 - Wiley Online Library
Abstract Introduction The Human Development Index (HDI), as one of the more complex
composite indicators of the level of human potential and quality of life, is a combination of …

A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement

M Shariati, MS Mafipour, B Ghahremani… - Engineering with …, 2022 - Springer
Compressive strength of concrete is one of the most determinant parameters in the design of
engineering structures. This parameter is generally determined by conducting several tests …

The effect of carbon dioxide emissions on the building energy efficiency

J Min, G Yan, AM Abed, S Elattar, MA Khadimallah… - Fuel, 2022 - Elsevier
During this anthropocentric period, sustainable energy supply and climate changing could
be a main source of problem for human being. Scientists believe that the ratio of climate …

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 …

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 …

On the modelling of the vibration behaviors via discrete singular convolution method for a high-order sector annular system

Y Liu, W Wang, T He, Z Moradi… - Engineering with …, 2022 - Springer
This research presents a numerical investigation on the dynamic information of the
axisymmetric sandwich annular sector plate via a higher-order continuum elasticity theory …

New ridge regression, artificial neural networks and support vector machine for wind speed prediction

Y Zheng, Y Ge, S Muhsen, S Wang… - … in Engineering Software, 2023 - Elsevier
For wind energy conversion systems (WECS), forecasting wind speed is crucial for meeting
customer demands while monitoring, controlling, planning, and dispatching the electricity …

Developed comparative analysis of metaheuristic optimization algorithms for optimal active control of structures

J Katebi, M Shoaei-parchin, M Shariati… - Engineering with …, 2020 - Springer
A developed comparative analysis of metaheuristic optimization algorithms has been used
for optimal active control of structures. The linear quadratic regulator (LQR) has ignored the …

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 …