Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Stochastic Analysis of Rock Strength Variability in Underground Coal Mining
https://orcid.org/http://orcid.org/0009-0007-1793-5602
https://orcid.org/http://orcid.org/0000-0003-2624-6829
https://orcid.org/http://orcid.org/0000-0002-9010-5134
https://orcid.org/http://orcid.org/0000-0002-5626-2689
https://orcid.org/http://orcid.org/0000-0002-6664-615X
In underground coal mining, erratic roof failures pose significant safety risks, often attributed to the inherent variability in rock mass properties. Traditional deterministic models typically rely on averaged values, which can lead to inaccurate strength estimations and unsafe mining conditions. This research addresses these limitations by proposing a probabilistic framework that treats rock properties as spatially correlated random variables. The primary objective is to enhance the accuracy of rock strength assessments and to improve the safety of mining operations through a robust stochastic modeling approach. To achieve this, a comprehensive database of mechanical properties was generated using the Extreme Value stochastic model, effectively capturing the variability of rock mass characteristics. The study compares results from deterministic models, which assume uniform properties, with those derived from the proposed stochastic approach. A series of laboratory tests were conducted to validate the model, and 152 random sample data sets were generated to analyze stress distribution under various loading conditions. The findings reveal that the stochastic model significantly improves predictions of rock strength variability, demonstrating an average accuracy increase of approximately 30% compared to traditional methods. This probabilistic approach provides a more realistic estimation of rock behavior and underscores the critical importance of incorporating randomness into mine design. Ultimately, this research advocates for integrating stochastic models into mining practices, enhancing safety and operational efficiency in underground coal mining.
Stochastic Analysis of Rock Strength Variability in Underground Coal Mining
https://orcid.org/http://orcid.org/0009-0007-1793-5602
https://orcid.org/http://orcid.org/0000-0003-2624-6829
https://orcid.org/http://orcid.org/0000-0002-9010-5134
https://orcid.org/http://orcid.org/0000-0002-5626-2689
https://orcid.org/http://orcid.org/0000-0002-6664-615X
In underground coal mining, erratic roof failures pose significant safety risks, often attributed to the inherent variability in rock mass properties. Traditional deterministic models typically rely on averaged values, which can lead to inaccurate strength estimations and unsafe mining conditions. This research addresses these limitations by proposing a probabilistic framework that treats rock properties as spatially correlated random variables. The primary objective is to enhance the accuracy of rock strength assessments and to improve the safety of mining operations through a robust stochastic modeling approach. To achieve this, a comprehensive database of mechanical properties was generated using the Extreme Value stochastic model, effectively capturing the variability of rock mass characteristics. The study compares results from deterministic models, which assume uniform properties, with those derived from the proposed stochastic approach. A series of laboratory tests were conducted to validate the model, and 152 random sample data sets were generated to analyze stress distribution under various loading conditions. The findings reveal that the stochastic model significantly improves predictions of rock strength variability, demonstrating an average accuracy increase of approximately 30% compared to traditional methods. This probabilistic approach provides a more realistic estimation of rock behavior and underscores the critical importance of incorporating randomness into mine design. Ultimately, this research advocates for integrating stochastic models into mining practices, enhancing safety and operational efficiency in underground coal mining.
Stochastic Analysis of Rock Strength Variability in Underground Coal Mining
https://orcid.org/http://orcid.org/0009-0007-1793-5602
https://orcid.org/http://orcid.org/0000-0003-2624-6829
https://orcid.org/http://orcid.org/0000-0002-9010-5134
https://orcid.org/http://orcid.org/0000-0002-5626-2689
https://orcid.org/http://orcid.org/0000-0002-6664-615X
In underground coal mining, erratic roof failures pose significant safety risks, often attributed to the inherent variability in rock mass properties. Traditional deterministic models typically rely on averaged values, which can lead to inaccurate strength estimations and unsafe mining conditions. This research addresses these limitations by proposing a probabilistic framework that treats rock properties as spatially correlated random variables. The primary objective is to enhance the accuracy of rock strength assessments and to improve the safety of mining operations through a robust stochastic modeling approach. To achieve this, a comprehensive database of mechanical properties was generated using the Extreme Value stochastic model, effectively capturing the variability of rock mass characteristics. The study compares results from deterministic models, which assume uniform properties, with those derived from the proposed stochastic approach. A series of laboratory tests were conducted to validate the model, and 152 random sample data sets were generated to analyze stress distribution under various loading conditions. The findings reveal that the stochastic model significantly improves predictions of rock strength variability, demonstrating an average accuracy increase of approximately 30% compared to traditional methods. This probabilistic approach provides a more realistic estimation of rock behavior and underscores the critical importance of incorporating randomness into mine design. Ultimately, this research advocates for integrating stochastic models into mining practices, enhancing safety and operational efficiency in underground coal mining.
Stochastic Analysis of Rock Strength Variability in Underground Coal Mining
Geotech Geol Eng
Soleimanfar, Mohammad Reza (Autor:in) / Shirinabadi, Reza (Autor:in) / Hosseini Alaee, Navid (Autor:in) / Moosavi, Ehsan (Autor:in) / Mohammadi, Ghodratollah (Autor:in)
01.02.2025
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Rock strength , Variability , Stochastic modeling , Underground coal mining , Extreme value distribution , Probabilistic framework Engineering , Civil Engineering , Resources Engineering and Extractive Metallurgy , Mathematical Sciences , Statistics , Earth Sciences , Geotechnical Engineering & Applied Earth Sciences , Hydrogeology , Terrestrial Pollution , Waste Management/Waste Technology , Earth and Environmental Science
Stochastic Analysis of Rock Strength Variability in Underground Coal Mining
| Springer Verlag | 2025
Numerical estimation of rock mass strength in underground mining operations
| British Library Conference Proceedings | 2007
Numerical estimation of rock mass strength in underground mining operations
| British Library Conference Proceedings | 2007
Rock mechanics for underground mining
Elsevier | 1986