Applications of Artificial Intelligence in Mining and Geotechnical Engineering

Herausgeber: Nguyen, Hoang; Zhang, Wengang; Choi, Yosoon; Zhou, Jian; Topal, Erkan; Bui, Xuan Nam

• Broschiertes Buch

Produktbeschreibung

Applications of Artificial Intelligence in Mining, Geotechnical and Geoengineering provides recent advances in mining, geotechnical and geoengineering, as well as applications of artificial intelligence in these areas. It serves as the first book on applications of artificial intelligence in mining, geotechnical and geoengineering, providing an opportunity for researchers, scholars, engineers, practitioners and data scientists from all over the world to understand current developments and applications. Topics covered include slopes, open-pit mines, quarries, shafts, tunnels, caverns, underground mines, metro systems, dams and hydro-electric stations, geothermal energy, petroleum engineering, and radioactive waste disposal. In the geotechnical and geoengineering aspects, topics of specific interest include, but are not limited to, foundation, dam, tunneling, geohazard, geoenvironmental and petroleum engineering, rock mechanics, geotechnical engineering, soil mechanics and foundation engineering, civil engineering, hydraulic engineering, petroleum engineering, engineering geology, etc.

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Produktdetails

• Verlag: Elsevier Science
• Seitenzahl: 496
• Erscheinungstermin: 22. November 2023
• Englisch
• Abmessung: 229mm x 152mm
• Gewicht: 790g
• ISBN-13: 9780443187643
• ISBN-10: 0443187649
• Artikelnr.: 67526737

Inhaltsangabe

A. Overview of AI, learning theory and data analytics techniques1. Overview
of artificial intelligence techniques used in the book (US/Europe-based
contributors)2. Overview of learning theories used in the book
(US/Europe-based contributors)3. Overview of data analytics techniques used
in the book (US/Europe-based contributors)
B. Applications of artificial intelligence in mining4. Computer
vision-based approaches for feature extractions in rock engineering 5.
Intelligent optimization of design system for underground space structure
of metal mine 6. A comparative study of backbreak distance prediction in
the open-pit mine based on support vector regression and three kinds of
bio-inspired meta-heuristic algorithms 7. The novel automatic mineral
recognition techniques by optical analysis and machine learning 8.
Prediction of factor of safety for circular failure slope using support
vector regression with two optimization algorithms 9. Application of AI in
geochemical anomaly detection 10. Application of AI in mineral
prospectivity modeling and mapping 11. Application of AI in estimating
mining capital cost 12. Application of AI in forecasting copper prices 13.
Application of AI in mine planning 14. Application of AI in reserve and
grade estimation of ore 15. Application of AI in predicting blast-induced
ground vibration 16. Application of AI in predicting blast-induced air
over-pressure 17. Application of AI in predicting blast-induced flyrock 18.
Application of AI in predicting blast-induced back-break 19. Application of
AI in predicting rock fragmentation 20. Application of AI in estimating ore
production of track-haulage system 21. Application of AI in the diagnosis
of problems in truck ore transport operation in underground mines 22.
Application of AI in predicting air quality in open pit mines 23.
Application of AI in predicting rockburst hazards 24. Application of AI in
predicting slope stability in open pit mines 25. Application of AI in
predicting heavy metals sorption efficiency using mining materials 26.
Application of AI in forecasting moment magnitude of micro-earthquakes
induced by fault structure and mining activities 27. Application of AI in
predicting mine water quality 28. Application of AI for coal mine gas risk
assessment 29. Application of AI for predicting hangingwall stability 30.
Application of AI for estimating the gross calorific value of coal 31.
Application of AI for mapping ground water
C. Applications of artificial intelligence in geotechnical and
geoengineering32. Hard rock pillar stability prediction using hybrid
metaheuristic algorithms and support vector machine approaches based on an
updated case histories 33. Application of AI in predicting rock properties
during rock drilling operations 34. Application of AI in predicting
rock-mechanics parameters 35. Application of AI in predicting rock uniaxial
compressive strength 36. Application of AI in mapping landslides 37.
Application of AI in predicting diaphragm wall deflection in braced
excavation 38. Application of AI in predicting shear strength of tilted
angle connectors 39. Application of AI in predicting swelling pressure of
expansive soils 40. Application of AI in predicting roadway stability 41.
Application of AI in forecasting TBM advance rate 42. Application of AI in
estimating the friction angle of clays 43. Application of AI in predicting
the compressibility of clay 44. Application of AI in estimating the
performance of tunnel boring machines 45. Application of AI in stability
classification of discontinuous rock slope 46. Application of AI in rock
slope block-toppling modeling and assessment 47. Application of AI in
predicting Young's modulus and unconfined compressive strength of rock 48.
Application of AI in ground identification of working face 49. Application
of AI in predicting ground settlement in tunneling 50. Application of AI in
predicting rock geomechanically properties 51.Application of AI in
predicting surface settlement induced by earth pressure balance shield
tunneling 52. Application of AI in predicting elastic modulus of rocks 53.
Application of AI in predicting cohesion of rocks 54. Application of AI in
predicting spacing and block volume in discontinuous rock masses using
image processing technique