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An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young's modulus: a study on Main Range granite
D Jahed Armaghani, E Tonnizam Mohamad… - Bulletin of engineering …, 2015 - Springer
Engineering properties of rocks such as unconfined compressive strength (UCS) and
Young's modulus (E) are among the essential parameters for the design of tunnel …
Young's modulus (E) are among the essential parameters for the design of tunnel …
Predicting triaxial compressive strength and Young's modulus of frozen sand using artificial intelligence methods
M Esmaeili-Falak, H Katebi, M Vadiati… - Journal of Cold …, 2019 - ascelibrary.org
Mechanical properties of frozen soils (eg, triaxial compressive strength, σ tc and Young's
modulus, E) are important in tunnel, shaft, or open pit excavation projects. Although …
modulus, E) are important in tunnel, shaft, or open pit excavation projects. Although …
[HTML][HTML] A deep learning method for the prediction of the index mechanical properties and strength parameters of marlstone
The index mechanical properties, strength, and stiffness parameters of rock materials (ie,
uniaxial compressive strength, c, ϕ, E, and G) are critical factors in the proper geotechnical …
uniaxial compressive strength, c, ϕ, E, and G) are critical factors in the proper geotechnical …
Develo** novel models using neural networks and fuzzy systems for the prediction of strength of rocks from key geomechanical properties
This research study was conducted to predict the unconfined compressive strength (UCS) of
the rocks by applying the adaptive neuro-fuzzy inference system (ANFIS), and the outcomes …
the rocks by applying the adaptive neuro-fuzzy inference system (ANFIS), and the outcomes …
A review: applications of fuzzy theory in rock engineering
F Samimi Namin, MM Rouhani - Indian Geotechnical Journal, 2024 - Springer
One of the sub-disciplines of geo-engineering is rock engineering, which studies the
behavior of rocks against internal and external factors. Fuzzy theory can be used to solve …
behavior of rocks against internal and external factors. Fuzzy theory can be used to solve …
Advanced tree-based techniques for predicting unconfined compressive strength of rock material employing non-destructive and petrographic tests
Y Wang, M Hasanipanah, ASA Rashid, BN Le… - Materials, 2023 - mdpi.com
The accurate estimation of rock strength is an essential task in almost all rock-based
projects, such as tunnelling and excavation. Numerous efforts to create indirect techniques …
projects, such as tunnelling and excavation. Numerous efforts to create indirect techniques …
[HTML][HTML] Prediction of the uniaxial compressive strength of rocks from simple index tests using a random forest predictive model
M Wang, W Wan, Y Zhao - Comptes …, 2020 - comptes-rendus.academie-sciences …
Uniaxial compressive strength (UCS) is an important mechanical parameter for stability
assessments in rock mass engineering. In practice, obtaining the UCS simply, accurately …
assessments in rock mass engineering. In practice, obtaining the UCS simply, accurately …
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 …
Applying improved artificial neural network models to evaluate drilling rate index
H Fattahi, H Bazdar - Tunnelling and Underground Space Technology, 2017 - Elsevier
The drilling rate index (DRI) is the most important input parameter of a commonly used
performance prediction model for drilling and rock excavation. In this paper, the hybrid …
performance prediction model for drilling and rock excavation. In this paper, the hybrid …
Shear wave velocity estimation from conventional well log data by using a hybrid ant colony–fuzzy inference system: A case study from Cheshmeh–Khosh oilfield
A Nourafkan, A Kadkhodaie-Ilkhchi - Journal of Petroleum Science and …, 2015 - Elsevier
Abstract Characterization of geomechanical parameters of hydrocarbon reservoirs such as
compressional and shear wave velocities is a main component of petrophysical …
compressional and shear wave velocities is a main component of petrophysical …