Improved arithmetic optimization algorithm and its application to carbon fiber reinforced polymer-steel bond strength estimation

X Shi, X Yu, M Esmaeili-Falak - Composite Structures, 2023 - Elsevier
In order to restore steel structures, bonding carbon fiber reinforced polymer (CFRP)
laminates have been widely used. The bond strength (PU) between the CFRP and steel …

Ensemble deep learning-based models to predict the resilient modulus of modified base materials subjected to wet-dry cycles

M Esmaeili-Falak, RS Benemaran - Geomechanics and …, 2023 - koreascience.kr
The resilient modulus (MR) of various pavement materials plays a significant role in the
pavement design by a mechanistic-empirical method. The MR determination is done by …

Application of extreme gradient boosting method for evaluating the properties of episodic failure of borehole breakout

RS Benemaran - Geoenergy Science and Engineering, 2023 - Elsevier
In petroleum engineering, determining in situ stresses and breakout dimensions are crucial.
Nowadays, hydraulic fracturing is a frequently used method for identifying in stresses and …

Application of optimization‐based regression analysis for evaluation of frost durability of recycled aggregate concrete

M Esmaeili‐Falak… - Structural Concrete, 2024 - Wiley Online Library
Concrete constructed using recycled aggregates in place of natural aggregates is an
efficient approach to increase the construction sector's sustainability. To improve recycled …

Estimating axial bearing capacity of driven piles using tuned random forest frameworks

BM Yaychi, M Esmaeili-Falak - Geotechnical and Geological Engineering, 2024 - Springer
In the process of designing pile foundations, it is essential to take the axial bearing capacity
(B c) of the pile into consideration., where determination of this target requires extreme fields …

Estimation of unconfined compressive strength of marine clay modified with recycled tiles using hybridized extreme gradient boosting method

D Li, X Zhang, Q Kang, E Tavakkol - Construction and Building Materials, 2023 - Elsevier
An accurate evaluation of the clay's properties when mixed with recyclable materials is the
end objective of many geotechnical experimental efforts. However, experimental studies …

Predicting the CPT-based pile set-up parameters using HHO-RF and PSO-RF hybrid models

Y Dawei, Z Bing, G Bingbing, G Xibo… - … and Mechanics, An Int'l …, 2023 - dbpia.co.kr
Determining the properties of pile from cone penetration test (CPT) is costly, and need
several in-situ tests. At the present study, two novel hybrid learning models, namely PSO-RF …

Creation of regression analysis for estimation of carbon fiber reinforced polymer-steel bond strength

X Sun, X Dong, W Teng, L Wang… - Steel and Composite …, 2024 - koreascience.kr
Bonding carbon fiber-reinforced polymer (CFRP) laminates have been extensively
employed in the restoration of steel constructions. In addition to the mechanical properties of …

Driven piles' load capacity estimation by applying comparative regression methods

T Liu - Multiscale and Multidisciplinary Modeling, Experiments …, 2024 - Springer
For deep foundation load capacity estimation (Q t) in geotechnical engineering, several
empirical and theoretical frameworks have been proposed. In this scenario, simulations are …

XGB-Northern Goshawk optimization: predicting the compressive strength of self-compacting concrete

J Bian, R Huo, Y Zhong, Z Guo - KSCE Journal of Civil Engineering, 2024 - Springer
The contributions of this study, which include enhanced predictive precision and the
integration of supplementary admixtures, may be effectively used in real-world scenarios to …