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Application of Artificial Intelligence in Rock Mass Engineering

This special issue belongs to the section “Civil Engineering“.

Special Issue Information

Dear Colleagues,

This exclusive collection aims to showcase the latest advancements, cutting-edge research and practical applications of artificial intelligence (AI) in the field of rock mass engineering. The Special Issue will encompass a wide array of topics related to the integration of AI techniques in rock mass engineering, including, but not limited to: (1) AI-based predictive modeling for rock behavior and geomechanical analysis, (2) machine learning algorithms for rock mass classification and characterization, (3) deep learning applications in rock mass deformation and stability analysis, (4) AI-driven optimization and decision-making in rock engineering projects, (5) virtual reality and simulation technologies using AI for rock mass visualization and analysis, (6) application of AI in acquiring and modeling geometric parameters of rock masses, (7) AI-driven rock mass sensing and measurement techniques and (8) data processing and intelligent monitoring systems for sensor data in rock engineering

Dr. Jun Zheng
Dr. Mingming He
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • rock mass
  • machine learning
  • discontinuity detection
  • rock engineering
  • deep learning
  • big data
  • artificial intelligence

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Appl. Sci. - ISSN 2076-3417