Tunnel and Underground SpaceISSN:1225-1275(Print) 2287-1748(Online)한국암반공학회

Evaluation of Machine Learning Techniques for Predicting Specific Charge of Cut Hole Blasting in Tunnel

The Evaluation of Rock Mass Deformation Characteristics at Deep Depth in Granite using a Pressuremeter Test

Improvement of Hydraulic Properties by Derivative Diagnostic Analysis in Deep Fractured Rock

Utilization of Unmanned Vehicle-Mounted 3D Scanning System for Mine Site Surveys in Long Range Network Environment

Stability Analysis of Underground Mine Stope in the Post Pillar Cut-and-Fill Mining Method

Strategy for Rock Mechanics and Thermal Properties Site Descriptive Modeling for High-Level Waste Disposal Based on Case Studies

A Fundamental Study on the Prediction of Key Operating Parameters using Slurry Shield TBM Excavation Data and Machine Learning Algorithm

A Study on Prediction of Advance Rate using Slurry Shield TBM Machine Data and Machine Learning Techniques

Prediction of Stability of Deep Underground Infrastructure Through Machine Learning and Parameter Analysis

A Study on Fracture Characteristics based on Deep Boreholes by Tectonic Regimes and Rock Types for Characterization of High-Level Radioactive Waste Disposal Site

A Study on Effectiveness of the MDS Blasting Method through Field Test Construction

Estimation of Rock Uniaxial Compressive Strength Using Leeb Hardness and Machine Learning Techniques

Development of a Long-term Erosion Model for Bentonite Buffer using a Two-region Model and Evaluation of Buffer Property Degradation