Journal of Science and Transport Technology
SCOPUS (2021-2024)
2734-9950
Cơ quản chủ quản: N/A
Phân tích ảnh hưởng
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
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
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
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
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.
Nonlinear dynamic buckling analysis of the FG-GPLRC cylindrical and sinusoid panels with porous core under time-dependent axial compression
- Trang 13-22 - 2024
The nonlinear dynamic buckling responses of functionally graded graphene
platelet reinforced composite (FG-GPLRC) cylindrical and sinusoid panels with
porous core are presented in this paper. The governing formulations are
established by applying the nonlinear higher-order shear deformation theory
(HSDT). an approximation technique is used to determine the stress function for
complexly curved pane...
#Sinusoid panel; Cylindrical panel; Dynamic buckling; Higher-order shear deformation theory (HSDT); Nonlinear mechanics; Functionally graded graphene platelet-reinforced composite
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.
Ước lượng sức bám giữa FRP và bê tông bằng cách sử dụng các mô hình học máy ANFIS và ANFIS lai Dịch bởi AI
- 2021
Hệ thống suy diễn mờ dựa trên trí tuệ nhân tạo (ANFIS) và thuật toán tối ưu hóa
bầy đàn (PSO) đã được áp dụng để tạo ra các công cụ số dự đoán sức bám giữa bề
mặt bê tông và các tấm nhựa gia cố bằng sợi carbon (CFRP). Từ tài liệu liên
quan, một cơ sở dữ liệu uy tín bao gồm 242 mẫu thử đã được phát triển, cùng với
sáu yếu tố đầu vào chủ yếu xác định sức bám. Những đặc tính này bao gồm chiều
rộng củ...
#sức bám #bê tông #FRP #ANFIS #tối ưu hóa bầy đàn #mô hình học máy