Journal of Science and Transport Technology
2734-9950
Cơ quản chủ quản: N/A
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Các bài báo tiêu biểu
Prediction of shear strength of corrosion reinforced concrete beams using Artificial Neural Network
- 2022
The shear strength of corroded reinforced concrete (CRC) beams is a critical consideration during the design stages of RC structures. In this study, we propose a machine learning technique for estimating the shear strength of CRC beams across a range of service periods. To do this, we gathered 158 CRC beam shear tests and used Artificial Neural Network (ANN) to create a forecast model for the con......
Prediction of California Bearing Ratio (CBR) of Stabilized Expansive Soils with Agricultural and Industrial Waste Using Light Gradient Boosting Machine
- 2021
Using agricultural and industrial waste such as bagasse ash, groundnut shell ash and coal ash in stabilizing expansive soils are used as a subgrade material to reduce harmful impaction of swelling/shrinkage of expansive soils, reduce construction costs. It is also a solution for environmental protection. California Bearing Ratio (CBR) is an important criterion to evaluate the application technique......
#Stabilized exspansive soil #Machine learning #Light Gradient Boosting #California Bearing Ratio (CBR) #Agricultural/Industrial waste
Estimation of California Bearing Ratio of Soils Using Random Forest based Machine Learning
- 2021
California Bearing Ratio (CBR) is an essential parameter utilized to evaluate the strength of the soil subgrades and base course materials of different types of pavements. In this study, the Machine Learning (ML) approach has been adopted using Random Forest (RF) model to estimate the CBR of the soil based on 10 input parameters such as Plasticity Index (PI), Liquid Limit (LL), Silt Clay content (......
#Machine Learning #California Bearing Ratio #Random Forest
Nonlinear buckling and postbuckling of spiral stiffened FG-GPLRC cylindrical shells subjected to torsional loads
- 2021
The nonlinear buckling behavior of functionally graded graphene platelet reinforced composite (FG-GPLRC) cylindrical shells reinforced by ring, stringer and/or spiral FG-GPLRC stiffeners under torsional loads is studied by an analytical approach. The governing equations are based on the Donnell shell theory with geometrical nonlinearity of von Kármán-Donnell-type, combining the improvability of Le......
#Functionally graded graphene platelet reinforced composite (FG-GPLRC) #Spiral stiffener #Nonlinear buckling #Torsional load #Cylindrical shell
Estimating the Compressive Strength of Self-compacting Concrete with fiber using an Extreme Gradient Boosting model
- 2023
Self-compacting concrete reinforced with fiber (SCCRF) is extensively utilized in the construction and transportation industries due to its numerous advantages, such as ease of building in challenging sites, noise reduction, enhanced tensile strength, bending strength, and decreased structural cracking. Traditional methods for assessing the compressive strength of SCCRF are generally time-consumin......
#Compressive strength (CS) #Self-compacting concrete reinforced with fiber (SCCRF) #Extreme Gradient Boosting (XGB)
Postbuckling analysis of externally pressured parabola, sinusoidal and cylindrical FG-GRCL panels using HSDT
Tập 3 Số 2 - Trang 34-42 - 2023
In the present paper, by using the higher-order shear deformation theory and the strain-displacement relationships of large deflection, the postbuckling analysis of the functionally graded graphene-reinforced composite laminated (FG-GRCL) parabola, sinusoidal, and cylindrical externally pressured panels is presented in detail. The complex curvature functions of the parabola and sinusoidal panels a......
#Postbuckling analysis; Cylindrical panel; Parabola panel; Sinusoidal panel; Higher-order shear deformation theory
Prediction of compressive strength of concrete at high heating conditions by using artificial neural network-based Bayesian regularization
Tập 2 Số 1 - Trang 9-21 - 2022
Cement concrete is the most commonly used material today for constructing residential or commercial buildings, industrial parks, or particular components such as tunnel slabs where there is a high risk of fire. This structure requires concrete to be subjected to high temperatures generated by fires. However, concrete under the influence of high temperature has very complex behavior states with def......
#Machine learning #ANN #compressive strength #Bayesian regularization #K-fold cross-validation
Forecast of surface chloride concentration of concrete utilizing ensemble decision tree boosted
- 2022
This study proposes the application of Ensemble Decision Tree Boosted (EDT Boosted) model for forecasting the surface chloride concentration of marine concrete A database of 386 experimental results was collected from 17 different sources covering twelve variables was used to build and verify the predictive power of the EDT model. The input factors considered the changes in eleven variables, incl......
#Machine learning #Ensemble Descion Tree Boosted (EDT Boosted) #surface chloride concentration
Temperature effect on the characteristic quantities of microstructure and phase transition of the alloy Ag0.25Au0.75
Tập 3 Số 1 - Trang 45-53 - 2023
In this research, Molecular Dynamics (MD) simulations were conducted to explore the temperature effect on the microstructure and phase transition of the Ag0.25Au0.75 alloy. The findings reveal that as the temperature rises, the material's phase transition switches from crystalline to liquid and vice versa. Notably, during the phase transition, significant changes occur in the link length (r), the ......
#Ag0.25Au0.75 alloy #microstructure #molecular dynamics #phase transition #temperature.
Temperature effect on the characteristic quantities of microstructure and phase transition of the alloy Ag0.25Au0.75
- 2023
In this research, Molecular Dynamics (MD) simulations were conducted to explore the temperature effect on the microstructure and phase transition of the Ag0.25Au0.75 alloy. The findings reveal that as the temperature rises, the material's phase transition switches from crystalline to liquid and vice versa. Notably, during the phase transition, significant changes occur in the link length (r), the ......
#Ag0.25Au0.75 alloy #microstructure #molecular dynamics #phase transition #temperature.