Modeling the bond–slip behavior of the interface between a stiffened core and cemented soil based on machine learning approaches

J Zhang, C Chen, H Cai, S Zhu - Engineering Failure Analysis, 2025 - Elsevier
The bond–slip behavior of stiffened deep cement mixing (SDCM) piles—which is crucial for
their bearing capacity—evolves continuously with curing age. In the study reported here, 20 …

Predicting Compression Strength of Reinforced Concrete Columns Confined by FRP Using Meta-Heuristic Methods

MR Mohammadizadeh, F Esfandnia - Civil Engineering Infrastructures …, 2022 - ceij.ut.ac.ir
There are several methods to predict the compression strength of reinforced concrete
columns confined by FRP, such as experimental methods, theory of elasticity and plasticity …

[PDF][PDF] Efficient parameters to predict the nonlinear behavior of FRP retrofitted RC columns

N Mahdavi, HR Ahmadi, M Bayat - Structural Engineering and …, 2019 - researchgate.net
While fiber-reinforced plastic (FRP) materials have been largely used in the retrofitting of
concrete buildings, its application has been limited because of some problems such as de …

Prediction of shear strength of reinforced concrete deep beams using neuro-fuzzy inference system and meta-heuristic algorithms

MR Mohammadizadeh, F Esfandnia… - Civil Engineering …, 2023 - ceij.ut.ac.ir
It is generally accepted that the shear strength of Reinforced Concrete (RC) deep beams
depends on the mechanical and geometrical parameters of the beam. The accurate …

Predicting the Bond Strength Between Concrete and Glass Fiber-Reinforced Polymer Bars Using Soft Computing Models

S Farahi Shahri, SR Mousavi - Iranian Journal of Science and Technology …, 2023 - Springer
The bond between rebar and concrete is one of the significant parameters which impacts the
behavior of reinforced concrete (RC) elements. Considering the corrosion of steel bars and …

Experimental and numerical study on the seismic performance of masonry walls

YC You, D Lee, TYP Yuen, YT Chou… - Structural Engineering …, 2021 - koreascience.kr
Although it is well known that masonry walls are vulnerable to seismic loadings, they are still
widely deployed for dwellings in many countries. Therefore, research on masonry walls has …

[PDF][PDF] MODELING OF FLOW NUMBER OF ASPHALT MIXTURES USING A MULTI–KERNEL BASED SUPPORT VECTOR MACHINE APPROACH

M Araghi, M Khatibinia - Int. J. Optim. Civil Eng, 2019 - sid.ir
Flow number of asphalt–aggregate mixtures as an explanatory factor has been proposed in
order to assess the rutting potential of asphalt mixtures. This study proposes a multiple …

[PDF][PDF] A COMPARATIVE STUDY OF TRADITIONAL AND INTELLIGENCE SOFT COMPUTING METHODS FOR PREDICTING COMPRESSIVE STRENGTH OF SELF …

A Feizbakhsh, M Khatibinia - Int. J. Optim. Civil Eng, 2017 - researchgate.net
This study investigates the prediction model of compressive strength of self–compacting
concrete (SCC) by utilizing soft computing techniques. The techniques consist of adaptive …

Prediction of Shear Capacity of Reinforced Concrete Beams using Support Vector Regression and Adaptive Neuro-Fuzzy Inference Algorithms Optimized with Meta …

F Esfandnia - Amirkabir Journal of Civil Engineering, 2021 - ceej.aut.ac.ir
Considering the complexity of shear mechanisms of reinforced concrete beams and the
effects of various parameters, creating a general model for the accurate estimation of the …

[PDF][PDF] Modeling of Debonding Strength in FRP Retrofitted Masonry Elements using a Robust Support Vector Machine Approach

M Khatibinia - Iranian Journal of Structural Engineering, 2016 - scholar.archive.org
The present paper proposes modeling the debonding strength of masonry elements
retrofitted with Fiber Reinforced Polymer (FRP) using a robust support vector machine …