Expert System for Stability Assessment of Underground Excavations Based on Numerical Modeling and Engineering Rules

This study presents an expert system for assessing the stability of underground mine workings and automatically selecting rock bolt support schemes. The system integrates physically based calculations of roof compressive strength (Rc) and expected maximum displacement (Um) with rule-based decision l...

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Published in:Applied Sciences
Main Authors: Aleksandr Tomilov, Alexey Kalinin, Nadezhda Tomilova, Margulan Nurtay, Natalya Mutovina, Kirill Shtefan, Dinara Zhumagulova
Format: Article
Language:English
Published: MDPI AG 2025-08-01
Subjects:
Online Access:https://www.mdpi.com/2076-3417/15/16/8951
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author Aleksandr Tomilov
Alexey Kalinin
Nadezhda Tomilova
Margulan Nurtay
Natalya Mutovina
Kirill Shtefan
Dinara Zhumagulova
author_facet Aleksandr Tomilov
Alexey Kalinin
Nadezhda Tomilova
Margulan Nurtay
Natalya Mutovina
Kirill Shtefan
Dinara Zhumagulova
author_sort Aleksandr Tomilov
collection DOAJ
container_title Applied Sciences
description This study presents an expert system for assessing the stability of underground mine workings and automatically selecting rock bolt support schemes. The system integrates physically based calculations of roof compressive strength (Rc) and expected maximum displacement (Um) with rule-based decision logic grounded in engineering practice. Unlike empirical classifications and black-box AI models, the proposed approach ensures interpretable, reproducible, and context-aware engineering decisions. The architecture includes a numerical solver that computes Rc and Um based on excavation geometry, geomechanical properties, and mining conditions. The support scheme is selected using a knowledge base of formalized rules, while the specific support parameters are calculated within the solver. The system was validated across 51 underground excavations, with approximately 85% of its recommendations matching field-proven support solutions, and 12% suggesting reinforced schemes that could have prevented failures. The expert system is suitable for integration into digital mine management platforms and offers a foundation for developing digital twin solutions in geomechanically variable environments.
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spelling doaj-art-2972cba7aca74479b60faaa12c19de4e2025-08-27T14:07:35ZengMDPI AGApplied Sciences2076-34172025-08-011516895110.3390/app15168951Expert System for Stability Assessment of Underground Excavations Based on Numerical Modeling and Engineering RulesAleksandr Tomilov0Alexey Kalinin1Nadezhda Tomilova2Margulan Nurtay3Natalya Mutovina4Kirill Shtefan5Dinara Zhumagulova6Department of Information and Computing Systems, Abylkas Saginov Karaganda Technical University, Karaganda 100027, KazakhstanDepartment of Information and Computing Systems, Abylkas Saginov Karaganda Technical University, Karaganda 100027, KazakhstanDepartment of Information and Computing Systems, Abylkas Saginov Karaganda Technical University, Karaganda 100027, KazakhstanDepartment of Information and Computing Systems, Abylkas Saginov Karaganda Technical University, Karaganda 100027, KazakhstanDepartment of Information and Computing Systems, Abylkas Saginov Karaganda Technical University, Karaganda 100027, KazakhstanDepartment of Information and Computing Systems, Abylkas Saginov Karaganda Technical University, Karaganda 100027, KazakhstanDepartment of Information and Computing Systems, Abylkas Saginov Karaganda Technical University, Karaganda 100027, KazakhstanThis study presents an expert system for assessing the stability of underground mine workings and automatically selecting rock bolt support schemes. The system integrates physically based calculations of roof compressive strength (Rc) and expected maximum displacement (Um) with rule-based decision logic grounded in engineering practice. Unlike empirical classifications and black-box AI models, the proposed approach ensures interpretable, reproducible, and context-aware engineering decisions. The architecture includes a numerical solver that computes Rc and Um based on excavation geometry, geomechanical properties, and mining conditions. The support scheme is selected using a knowledge base of formalized rules, while the specific support parameters are calculated within the solver. The system was validated across 51 underground excavations, with approximately 85% of its recommendations matching field-proven support solutions, and 12% suggesting reinforced schemes that could have prevented failures. The expert system is suitable for integration into digital mine management platforms and offers a foundation for developing digital twin solutions in geomechanically variable environments.https://www.mdpi.com/2076-3417/15/16/8951underground excavationexpert systemrock bolt supportgeomechanical modelingrule-based decision makingnumerical simulation
spellingShingle Aleksandr Tomilov
Alexey Kalinin
Nadezhda Tomilova
Margulan Nurtay
Natalya Mutovina
Kirill Shtefan
Dinara Zhumagulova
Expert System for Stability Assessment of Underground Excavations Based on Numerical Modeling and Engineering Rules
underground excavation
expert system
rock bolt support
geomechanical modeling
rule-based decision making
numerical simulation
title Expert System for Stability Assessment of Underground Excavations Based on Numerical Modeling and Engineering Rules
title_full Expert System for Stability Assessment of Underground Excavations Based on Numerical Modeling and Engineering Rules
title_fullStr Expert System for Stability Assessment of Underground Excavations Based on Numerical Modeling and Engineering Rules
title_full_unstemmed Expert System for Stability Assessment of Underground Excavations Based on Numerical Modeling and Engineering Rules
title_short Expert System for Stability Assessment of Underground Excavations Based on Numerical Modeling and Engineering Rules
title_sort expert system for stability assessment of underground excavations based on numerical modeling and engineering rules
topic underground excavation
expert system
rock bolt support
geomechanical modeling
rule-based decision making
numerical simulation
url https://www.mdpi.com/2076-3417/15/16/8951
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