[PDF][PDF] A state of the art review on geotechnical reinforcement with end life tires

M Shariati, M Afrazi, H Kamyab, S Rouhanifar… - Glob. J. Environ. Sci …, 2024 - sid.ir
The accumulation of discarded tires is an escalating concern, due to the environmental
hazards like longterm degradation, observed in both develo** and developed nations …

An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity

DJ Armaghani, H Harandizadeh, E Momeni… - Artificial Intelligence …, 2022 - Springer
The pile bearing capacity is considered as the most essential factor in designing deep
foundations. Direct determination of this parameter in site is costly and difficult. Hence, this …

A new development of ANFIS–GMDH optimized by PSO to predict pile bearing capacity based on experimental datasets

H Harandizadeh, D Jahed Armaghani… - Engineering with …, 2021 - Springer
Prediction of ultimate pile bearing capacity with the aid of field experimental results through
artificial intelligence (AI) techniques is one of the most significant and complicated problem …

[HTML][HTML] A combination of feature selection and random forest techniques to solve a problem related to blast-induced ground vibration

H Zhang, J Zhou, D Jahed Armaghani, MM Tahir… - Applied Sciences, 2020 - mdpi.com
In mining and civil engineering applications, a reliable and proper analysis of ground
vibration due to quarry blasting is an extremely important task. While advances in machine …

Development of Z number-based fuzzy inference system to predict bearing capacity of circular foundations

S Hosseini, B Gordan, E Kalkan - Artificial Intelligence Review, 2024 - Springer
Precise bearing capacity prediction of circular foundations is essential in civil engineering
design and construction. The bearing capacity is affected by factors such as depth, density of …

A new hybrid simulated annealing-based genetic programming technique to predict the ultimate bearing capacity of piles

W Yong, J Zhou, D Jahed Armaghani, MM Tahir… - Engineering with …, 2021 - Springer
The aim of this research is to develop three soft-computing techniques, including adaptive-
neuro-fuzzy inference system (ANFIS), genetic-programming (GP) tree-based, and …

A novel intelligent ELM-BBO technique for predicting distance of mine blasting-induced flyrock

BR Murlidhar, D Kumar, D Jahed Armaghani… - Natural Resources …, 2020 - Springer
Blasting is an economical technique for rock breaking in hard rock excavation. One of its
complex undesired environmental effects is flyrock, which may result in human injuries …

Optimum model for bearing capacity of concrete-steel columns with AI technology via incorporating the algorithms of IWO and ABC

P Sarir, SL Shen, ZF Wang, J Chen… - Engineering with …, 2021 - Springer
In a composite column, the performance of both the concrete and steel has a considerable
effect on the structural behaviour under different loading conditions. This study applies …

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 …

Application of hybrid intelligent systems in predicting the unconfined compressive strength of clay material mixed with recycled additive

MAM Al-Bared, Z Mustaffa, DJ Armaghani… - Transportation …, 2021 - Elsevier
A reliable prediction of the soil properties mixed with recycled material is considered as an
ultimate goal of many geotechnical laboratory works. In this study, after planning and …