Predicting uniaxial compressive strength of building stone based on index tests: Correlations, validity, reliability, and unification
Uniaxial compressive strength (UCS) is of great importance for building stone. Index tests
have been widely used to quickly predict UCS due to the cumbersome and expensive …
have been widely used to quickly predict UCS due to the cumbersome and expensive …
Estimation of intact rock uniaxial compressive strength using advanced machine learning
The present investigation introduces an optimal computational model by comparing gene
expression programming (GEP), least square support vector machine (LSSVM), and …
expression programming (GEP), least square support vector machine (LSSVM), and …
Active learning inspired multi-fidelity probabilistic modelling of geomaterial property
The identification of geomaterial properties is costly but pivotal for engineering design. A
wide range of approaches perform well with sufficiently measured data but their …
wide range of approaches perform well with sufficiently measured data but their …
Multiscale soft computing-based model of shear strength of steel fibre-reinforced concrete beams
Concrete is weak in tension, so steel fibres are added to the concrete members to increase
shear capability. The shear capacity of steel fibre-reinforced concrete (SFRC) beams is …
shear capability. The shear capacity of steel fibre-reinforced concrete (SFRC) beams is …
Intelligent model for dynamic shear modulus and dam** ratio of undisturbed marine clay based on back-propagation neural network
Q Wu, Z Wang, Y Qin, W Yang - Journal of Marine Science and …, 2023 - mdpi.com
In this study, a series of resonant-column experiments were conducted on marine clays from
Bohai Bay and Hangzhou Bay, China. The characteristics of the dynamic shear modulus (G) …
Bohai Bay and Hangzhou Bay, China. The characteristics of the dynamic shear modulus (G) …
Probabilistic prediction of uniaxial compressive strength for rocks from sparse data using Bayesian Gaussian process regression with Synthetic Minority Oversampling …
C Song, T Zhao, L Xu, X Huang - Computers and Geotechnics, 2024 - Elsevier
Uniaxial compressive strength (UCS) of rocks is one of key rock strength parameters.
Generally speaking, UCS can be measured directly through uniaxial compression tests …
Generally speaking, UCS can be measured directly through uniaxial compression tests …
Controlling factors in the variability of soil magnetic measures by machine learning and variable importance analysis
The present work is the first effort to apply machine learning approaches and variable
importance analysis (VIA) to the determination of environmental attributes that regulate the …
importance analysis (VIA) to the determination of environmental attributes that regulate the …
Integrated machine learning for modeling bearing capacity of shallow foundations
Y Liu, Y Liang - Scientific Reports, 2024 - nature.com
Analyzing the stability of footings is a significant step in civil/geotechnical engineering
projects. In this work, two novel predictive tools are suggested based on an artificial neural …
projects. In this work, two novel predictive tools are suggested based on an artificial neural …
[HTML][HTML] Develo** soft-computing regression model for predicting bearing capacity of eccentrically loaded footings on anisotropic clay
In this investigation, the bearing capacity solution of a strip footing in anisotropic clay under
inclined and eccentric load is analyzed using the numerical simulation model. The lower …
inclined and eccentric load is analyzed using the numerical simulation model. The lower …
Prediction of the uniaxial compressive strength of rocks by soft computing approaches
R Khajevand - Geotechnical and Geological Engineering, 2023 - Springer
The determination of uniaxial compressive strength (UCS) is one of the most important
mechanical properties of rocks. The direct measurement of UCS using laboratory methods is …
mechanical properties of rocks. The direct measurement of UCS using laboratory methods is …