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 …

[HTML][HTML] Slope stability classification under seismic conditions using several tree-based intelligent techniques

PG Asteris, FIM Rizal, M Koopialipoor, PC Roussis… - Applied Sciences, 2022 - mdpi.com
Slope stability analysis allows engineers to pinpoint risky areas, study trigger mechanisms
for slope failures, and design slopes with optimal safety and reliability. Before the …

Assessment in carbon-based layered double hydroxides for water and wastewater: Application of artificial intelligence and recent progress

G Wang, W Su, B Hu, ALH Arwa, HS Majdi… - Chemosphere, 2022 - Elsevier
Layered double hydroxides (LDHs) are a class of clays with brucite like layers and
intercalated anions. Hybrids of carbon nanomaterials and layered double hydroxides (C …

Seismic response prediction of FRC rectangular columns using intelligent fuzzy-based hybrid metaheuristic techniques

P Mehrabi, S Honarbari, S Rafiei, S Jahandari… - Journal of Ambient …, 2021 - Springer
This research study focused on the dynamic response and mechanical performance of fiber-
reinforced concrete columns using hybrid numerical algorithms. Whereas test data has non …

[HTML][HTML] Utilizing artificial intelligence to predict the superplasticizer demand of self-consolidating concrete incorporating pumice, slag, and fly ash powders

J Liu, M Mohammadi, Y Zhan, P Zheng, M Rashidi… - Materials, 2021 - mdpi.com
Self-consolidating concrete (SCC) is a well-known type of concrete, which has been
employed in different structural applications due to providing desirable properties. Different …

Improving the performance of LSSVM model in predicting the safety factor for circular failure slope through optimization algorithms

F Zeng, M Nait Amar, AS Mohammed… - Engineering with …, 2021 - Springer
Circular failure can be seen in weak rocks, the slope of soil, mine dump, and highly jointed
rock mass. The challenging issue is to accurately predict the safety factor (SF) and the …

Estimation of ultimate bearing capacity of driven piles in c-φ soil using MLP-GWO and ANFIS-GWO models: a comparative study

A Dehghanbanadaki, M Khari, ST Amiri, DJ Armaghani - Soft Computing, 2021 - Springer
A new forecast method is proposed in order to improve the estimation accuracy of the
ultimate bearing capacity (UBC) of single driven piles. The performance of the adaptive …

[HTML][HTML] Sensitivity and robustness analysis of adaptive neuro-fuzzy inference system (ANFIS) for shear strength prediction of stud connectors in concrete

AM Yosri, AIB Farouk, SI Haruna… - Case Studies in …, 2023 - Elsevier
The shear strength of stud connectors is essential for designing steel-concrete structures,
which is assessed only through a push-out test or available design codes. An alternative …