[HTML][HTML] Application of artificial intelligence to rock mechanics: An overview
AI Lawal, S Kwon - Journal of Rock Mechanics and Geotechnical …, 2021 - Elsevier
Different artificial intelligence (AI) methods have been applied to various aspects of rock
mechanics, but the fact that none of these methods have been used as a standard implies …
mechanics, but the fact that none of these methods have been used as a standard implies …
State-of-the-art review of machine learning and optimization algorithms applications in environmental effects of blasting
The technological difficulties related with blasting operations have become increasingly
significant. It is crucial to give due consideration to the evaluation of rock fragmentation and …
significant. It is crucial to give due consideration to the evaluation of rock fragmentation and …
[HTML][HTML] Prediction of blasting mean fragment size using support vector regression combined with five optimization algorithms
The main purpose of blasting operation is to produce desired and optimum mean size rock
fragments. Smaller or fine fragments cause the loss of ore during loading and transportation …
fragments. Smaller or fine fragments cause the loss of ore during loading and transportation …
Compressive strength of sandy soils stabilized with alkali-activated volcanic ash and slag
N Shariatmadari, H Hasanzadehshooiili… - Journal of Materials in …, 2021 - ascelibrary.org
In recent years, compared with the traditional portland cement, environmentally friendly
geopolymers have gained more attention as construction materials. This paper considered …
geopolymers have gained more attention as construction materials. This paper considered …
[HTML][HTML] A comparative study on the application of various artificial neural networks to simultaneous prediction of rock fragmentation and backbreak
In blasting operation, the aim is to achieve proper fragmentation and to avoid undesirable
events such as backbreak. Therefore, predicting rock fragmentation and backbreak is very …
events such as backbreak. Therefore, predicting rock fragmentation and backbreak is very …
[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
A Ghorbani, H Hasanzadehshooiili - Soils and foundations, 2018 - Elsevier
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 …
An uncertainty hybrid model for risk assessment and prediction of blast-induced rock mass fragmentation
Blasting is an important mining operation that usually produce several damaging
consequences. Adverse rock fragmentation due to bench blasting is one of them. Hence …
consequences. Adverse rock fragmentation due to bench blasting is one of them. Hence …
A rock engineering systems based model to predict rock fragmentation by blasting
F Faramarzi, H Mansouri, MAE Farsangi - International Journal of Rock …, 2013 - Elsevier
A new model for prediction of rock fragmentation by blasting is presented based upon the
basic concepts of rock engineering systems (RES). The newly proposed approach involves …
basic concepts of rock engineering systems (RES). The newly proposed approach involves …
Support vector machines approach to mean particle size of rock fragmentation due to bench blasting prediction
Aiming at the problems of the traditional method of assessing distribution of particle size in
bench blasting, a support vector machines (SVMs) regression methodology was used to …
bench blasting, a support vector machines (SVMs) regression methodology was used to …
A fractal fragmentation model for rockfalls
The impact-induced rock mass fragmentation in a rockfall is analyzed by comparing the in
situ block size distribution (IBSD) of the rock mass detached from the cliff face and the …
situ block size distribution (IBSD) of the rock mass detached from the cliff face and the …