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Proceedings Papers

Mitigating the Rock Fall and Rockburst Risk in South African Gold and Platinum Mines Through Advanced Knowledge of the Ore Body

Michelle Pienaar, Raymond J. Durrheim, Musa S. D. Manzi, Glen T. waila, Hendrik C. I. Grobler, Thabang Kgarume, Dean Pretorius, Michael van Schoor, Abrie J. Oberholster
Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-151
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View Paper titled, Mitigating the Rock Fall and Rockburst Risk in South African Gold and Platinum Mines Through Advanced Knowledge of the Ore Body
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Proceedings Papers

An Improved Calibration and Uncertainty Analysis for a Ground Subsidence Using Physics-Informed Neural Network (PINN) Approach

Hyung-Mok Kim, Yashwanth Kumar Gujjala, Junya Inoue, Dong-Woo Ryu
Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-192
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View Paper titled, An Improved Calibration and Uncertainty Analysis for a Ground Subsidence Using Physics-Informed Neural Network (PINN) Approach
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Proceedings Papers

Deformation Behavior Analysis of an Arch Dam During Initial Impoundment Based on Clustering and Panel Data Regression

Rujiu Zhang, Wenyu Zhuang, Yaoru Liu, Jianjun Xu, Liang Yin, Haining Wei
Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-194
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View Paper titled, Deformation Behavior Analysis of an Arch Dam During Initial Impoundment Based on Clustering and Panel Data Regression
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Proceedings Papers

Strategy and Application of Slope Monitoring Over Dam Basin in Regular Periods and During Emergencies Using SAR and GNSS

Yukiko Shoji, Teruyuki Kikuchi, Hitoshi Koike, Norikazu Shimizu
Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-239
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View Paper titled, Strategy and Application of Slope Monitoring Over Dam Basin in Regular Periods and During Emergencies Using SAR and GNSS
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Proceedings Papers

Geotechnical Parameters Prediction from Geophysical Logging Data Using Supervised Learning Methods

Gabriela Frainz, Gustavo Gouveia
Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-158-C
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View Paper titled, Geotechnical Parameters Prediction from Geophysical Logging Data Using Supervised Learning Methods
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Proceedings Papers

Towards the Development of a Harmonized Inventory Database for Decision Support: Automatized Information Extraction

Alla Sapronova, Paul Johannes Unterlass, Vaibhav Shringi, Thomas Marcher
Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-104
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View Paper titled, Towards the Development of a Harmonized Inventory Database for Decision Support: Automatized Information Extraction
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Proceedings Papers

Evaluation of Weathering Effects by CIELAB Color Space and Image Analysis Technique for Interbedded Metasedimentary Rock in the Northern Region of Peninsular Malaysia

Mazlina Razali, Mohd Ashraf Mohamad Ismail, Sharan Kumar Nagendran, Zuraini Zainal, Hayato Tobe, Kensuke Date, Yasuhiro Yokota, Hamzah Hussin
Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-494
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View Paper titled, Evaluation of Weathering Effects by CIELAB Color Space and Image Analysis Technique for Interbedded Metasedimentary Rock in the Northern Region of Peninsular Malaysia
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Proceedings Papers

Rock Slope Stability Management Along the Road by Machine Learning Through Databasing Disaster Prevention Records

Hiroyuki Honda, Yasuhiro Mitani, Hisatoshi Taniguchi, Ibrahim Djamaluddin, Yurino Kawaura
Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-472
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View Paper titled, Rock Slope Stability Management Along the Road by Machine Learning Through Databasing Disaster Prevention Records
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Proceedings Papers

An Investigation of the Effect of Rock Brittleness on Rockburst Prediction in Seismically Active Mines

Alexey Sharipov, Amoussou Coffi Adoko
Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-047
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View Paper titled, An Investigation of the Effect of Rock Brittleness on Rockburst Prediction in Seismically Active Mines
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Proceedings Papers

The Synergetic Evaluation Model of Machine-Rock in TBM-EPB Shield Construction and its Computer Realization

Guangming Yu, Penghui Zhang, Qimeng Shi, Guanwen Liang, Xinwang Yang, Jun Lei, Lijun Kuang, Daning Wang, Mikhail D. Kovalenko, Irina V. Menshova, Alexander P. Kerzhaev
Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-006
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View Paper titled, The Synergetic Evaluation Model of Machine-Rock in TBM-EPB Shield Construction and its Computer Realization
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Proceedings Papers

Modelling the Shear Behavior of Clean Rock Joints Using Adaptive Neuro-Fuzzy Inference Systems

Yago Machado Pereira de Matos, Silvrano Adonias Dantas Neto, Guilherme de Alencar Barreto
Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-485
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View Paper titled, Modelling the Shear Behavior of Clean Rock Joints Using Adaptive Neuro-Fuzzy Inference Systems
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Proceedings Papers

Application of Empirical Rockfall Classification Methods to Risk Management in an Alpine Valley Road

Maria Teresa Carriero, Maria Migliazza, Claudio Scavia, Leandro R. Alejano
Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-498
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View Paper titled, Application of Empirical Rockfall Classification Methods to Risk Management in an Alpine Valley Road
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Proceedings Papers

Automatic Fracture Extraction in Laboratory Rock Sample Using Deep Learning Method

Jian Liu, Aohui Ouyang, Omar AlDajani, Herbert Einstein, Zili Li
Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-099
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View Paper titled, Automatic Fracture Extraction in Laboratory Rock Sample Using Deep Learning Method
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Proceedings Papers

Deep Learning Based Automatic Fracture Identification in CT Images of Rock

Chuyen Pham, Li Zhuang, Sun Yeom, Hyu-Soung Shin
Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-098
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View Paper titled, Deep Learning Based Automatic Fracture Identification in CT Images of Rock
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Proceedings Papers

Application of Hybrid Machine Learning Based Quality Control in Daily Site Management

Alexander Zöhrer, Vincent Winter, Anika Terbuch, Paul O’Leary, Negin Khalili-Motlagh-Kasmaei
Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-095
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View Paper titled, Application of Hybrid Machine Learning Based Quality Control in Daily Site Management
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Proceedings Papers

Quantitative Risk Assessment of Rock Tunnel Faces Using Stacked Deep Learning and Multi-Source Data

Mingliang Zhou, Jiayao Chen, Le Zhang, Minglun Tan, Hongwei Huang
Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-087
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View Paper titled, Quantitative Risk Assessment of Rock Tunnel Faces Using Stacked Deep Learning and Multi-Source Data
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Proceedings Papers

Identification of the Optimal Time Series Machine Learning Algorithm for the Prediction of the Ground Subsidence with TBM Machine Data

Myung Kyu Song, Hyun Koo Lee, Jae Kyum Lee, Sean Seungwon Lee
Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-093
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View Paper titled, Identification of the Optimal Time Series Machine Learning Algorithm for the Prediction of the Ground Subsidence with TBM Machine Data
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Proceedings Papers

A 2023 Perspective on Rock Mass Classification Systems

Georg H. Erharter, Tom F. Hansen, Shengwen Qi, Neil Bar, Thomas Marcher
Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-127
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View Paper titled, A 2023 Perspective on Rock Mass Classification Systems
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Proceedings Papers

An Example of Calibrating Physical Parameters in a Constitutive Model Based on Machine Learning Framework

Yupeng Cao, Weiren Lin, Feng Zhang
Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-089
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View Paper titled, An Example of Calibrating Physical Parameters in a Constitutive Model Based on Machine Learning Framework
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Proceedings Papers

Comparative Analysis of CAI Estimation Using Symbolic Regression and Machine Learning Approaches

Tae Young Ko, Ju-Pyo Hong, Yun-Seong Kang
Paper presented at the 15th ISRM Congress, October 9–14, 2023
Paper Number: ISRM-15CONGRESS-2023-109
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View Paper titled, Comparative Analysis of CAI Estimation Using Symbolic Regression and Machine Learning Approaches
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