Fusion of finite element and machine learning methods to predict rock shear strength parameters
D Zhu, B Yu, D Wang, Y Zhang - Journal of Geophysics and …, 2024 - academic.oup.com
The trial-and-error method for calibrating rock mechanics parameters has the disadvantages
of complexity, being time-consuming, and difficulty in ensuring accuracy. Harnessing the …
of complexity, being time-consuming, and difficulty in ensuring accuracy. Harnessing the …
Closed-form equation for estimating unconfined compressive strength of granite from three non-destructive tests using soft computing models
The use of three artificial neural network (ANN)-based models for the prediction of
unconfined compressive strength (UCS) of granite using three non-destructive test …
unconfined compressive strength (UCS) of granite using three non-destructive test …
Orebody cavability prediction challenges in block caving mining—a review
K Suzuki Morales, FT Suorineni… - Bulletin of Engineering …, 2024 - Springer
A traditional block caving mine considers the development of an undercut level that allows
blocky or veined rock masses to fracture, fail, and unravel when the undercut area is large …
blocky or veined rock masses to fracture, fail, and unravel when the undercut area is large …
[PDF][PDF] Rock Strength Estimation Using Several Tree-Based ML Techniques.
The uniaxial compressive strength (UCS) of rock is an essential property of rock material in
different relevant applications, such as rock slope, tunnel construction, and foundation. It …
different relevant applications, such as rock slope, tunnel construction, and foundation. It …
Machine learning for rock mechanics problems; an insight
Due to inherent heterogeneity of geomaterials, rock mechanics involved with extensive lab
experiments and empirical correlations that often lack enough accuracy needed for many …
experiments and empirical correlations that often lack enough accuracy needed for many …
Mechanical properties of cemented tailings and waste-rock backfill (CTWB) materials: Laboratory tests and deep learning modeling
S Yin, Z Yan, X Chen, R Yan, D Chen, J Chen - Construction and Building …, 2023 - Elsevier
Cemented tailings and waste-rock backfill (CTWB) is an effective way to solve the problem of
mine solid waste. Waste-rock content is an important factor affecting UCS, but fully …
mine solid waste. Waste-rock content is an important factor affecting UCS, but fully …
Prediction of uniaxial compressive strength using fully Bayesian Gaussian process regression (fB-GPR) with model class selection
T Zhao, C Song, S Lu, L Xu - Rock Mechanics and Rock Engineering, 2022 - Springer
In rock, mining, and/or tunneling engineering, determination of uniaxial compressive
strength (UCS) of rocks is an important and crucial task, which is often estimated from readily …
strength (UCS) of rocks is an important and crucial task, which is often estimated from readily …
Data-driven modelling and evaluation of a battery-pack system's mechanical safety against bottom cone impact
The exploration of the mechanical responses of the battery pack system (BPS) when
subjected to dynamic impact loads is crucial for the safety of power batteries during …
subjected to dynamic impact loads is crucial for the safety of power batteries during …
Experimental study and soft computing modeling of the unconfined compressive strength of limestone rocks considering dry and saturation conditions
S Alzabeebee, DA Mohammed… - Rock Mechanics and Rock …, 2022 - Springer
Unconfined compressive strength (UCS) of intact limestone rocks is very significant in
geotechnical engineering in order to design structures that are currently being built on/in …
geotechnical engineering in order to design structures that are currently being built on/in …
Application of KNN-based isometric mapping and fuzzy c-means algorithm to predict short-term rockburst risk in deep underground projects
The rockburst phenomenon is the major source of the high number of casualties and
fatalities during the construction of deep underground projects. Rockburst poses a severe …
fatalities during the construction of deep underground projects. Rockburst poses a severe …