[HTML][HTML] Prediction of UCS and CBR of microsilica-lime stabilized sulfate silty sand using ANN and EPR models; application to the deep soil mixing
Desert sands in Iran, which usually contain small amounts of silt and sulfate, do not have
significant strength, and thus, are not suitable for foundations or road construction. This …
significant strength, and thus, are not suitable for foundations or road construction. This …
Automatic prediction of shear wave velocity using convolutional neural networks for different reservoirs in Ordos Basin
Y Zhang, C Zhang, Q Ma, X Zhang, H Zhou - Journal of Petroleum Science …, 2022 - Elsevier
Shear wave velocity (S-wave velocity) has great significance for reservoir characterization
and can effectively reduce the ambiguity in seismic interpretation. However, owning to its …
and can effectively reduce the ambiguity in seismic interpretation. However, owning to its …
Comparing Artificial Intelligence Algorithms with Empirical Correlations in Shear Wave Velocity Prediction
M Khalilidermani, D Knez - Applied Sciences, 2023 - mdpi.com
Accurate estimation of shear wave velocity (V s) is crucial for modeling hydrocarbon
reservoirs. The V s values can be directly measured using the Dipole Shear Sonic Imager …
reservoirs. The V s values can be directly measured using the Dipole Shear Sonic Imager …
[HTML][HTML] Modeling of shear wave velocity in limestone by soft computing methods
The main purpose of current study is development of an intelligent model for estimation of
shear wave velocity in limestone. Shear wave velocity is one of the most important rock …
shear wave velocity in limestone. Shear wave velocity is one of the most important rock …
Assessment of earthquake-induced slope deformation of earth dams using soft computing techniques
Evaluating behavior of earth dams under dynamic loads is one of the most important
problems associated with the initial design of such massive structures. This study focuses on …
problems associated with the initial design of such massive structures. This study focuses on …
Estimation of punch strength index and static properties of sedimentary rocks using neural networks in south west of Iran
Shear strength and static parameters of intact rock are of the most important properties
which are vitally required for rock mechanics studies in different engineering projects as the …
which are vitally required for rock mechanics studies in different engineering projects as the …
Machine-learning models to predict P-and S-wave velocity profiles for Japan as an example
Wave velocity profiles are significant for various fields, including rock engineering,
petroleum engineering, and earthquake engineering. However, direct measurements of …
petroleum engineering, and earthquake engineering. However, direct measurements of …
Prediction of the corrosion current density in reinforced concrete using a self-organizing feature map
A disadvantage of using linear polarization resistance (LPR) in the measurement of
corrosion current density is the need to partially destroy a concrete cover. In this article, a …
corrosion current density is the need to partially destroy a concrete cover. In this article, a …
Assessment of geotechnical properties and determination of shear strength parameters
In this research, geotechnical properties and the relationship between cohesion (c) and
internal friction angle (ϕ) with the SPT-N 60 were investigated in 120 boreholes in the …
internal friction angle (ϕ) with the SPT-N 60 were investigated in 120 boreholes in the …
[PDF][PDF] Predictive model for normalized shear modulus of cohesive soils
Evaluating dynamic properties of geomaterials is an essential step for solving geotechnical
earthquake engineering problems. The shear stiffness-reduction curves of soils are …
earthquake engineering problems. The shear stiffness-reduction curves of soils are …