Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Cluster Analysis of Moment Tensor Solutions and its Application to Rockburst Risk Assessment in Underground Coal Mines
https://orcid.org/0000-0002-0206-1523
Abstract High-magnitude events (HMEs) are commonly observed in underground mines, and they can lead to violent rock failures, such as rockbursts. While moment tensors (MTs) have been widely used to investigate the triggering mechanism of HMEs, the cluster properties of MTs before HMEs have rarely been systematically studied. This hinders the application of MTs to predict HMEs and manage dynamic hazard risks. This study aims to characterize the cluster properties of MTs before HMEs and apply them to predict HMEs. A seismic clustering method suitable for the hybrid MT inversion was proposed to acquire reliable source mechanism solutions. Based on a case study, the MTs and decompositions were retrieved for seventeen HMEs and seismic events in the week preceding their occurrence. Cluster analysis results show that HMEs are close in location but still have entirely different source mechanisms. Pre-HME events show a distinct difference in strikes and dips in the cases dominated by roof movement or coal mass failure. The analysis of the cluster probabilities associated with source location errors, radius, and mechanisms was then conducted based on the seismic failure mechanisms; and a refined cluster possibility index, the number of possible clustered events (NPCE), was proposed to identify abnormal risk zones. A risk assessment index, namely the number of possible clustered events (INPCE), was proposed to evaluate the degree of a cluster of seismic events. A posteriori analysis of seventeen cases showed a prediction accuracy of up to 60% of HMEs, and a risk threshold of 0.4 was recommended in the case of acceptable completeness of seismic data. The low sensitivity of the monitoring system and the poor seismicity would be the two main limitations, and deep learning based automatic location and source mechanism inversion techniques could be used to improve the application.
Highlights An agglomerative hierarchical cluster-based source cluster determination method is proposed for hybrid moment tensor inversion.The moment tensor solutions of seismic events before high-magnitude events (HMEs) are analyzed.A rockburst assessment method is proposed based on cluster probability associated with source location errors, radius, and mechanisms.A risk-based assessment back analysis is conducted to discuss the advantages and limitations of the method.
Cluster Analysis of Moment Tensor Solutions and its Application to Rockburst Risk Assessment in Underground Coal Mines
https://orcid.org/0000-0002-0206-1523
Abstract High-magnitude events (HMEs) are commonly observed in underground mines, and they can lead to violent rock failures, such as rockbursts. While moment tensors (MTs) have been widely used to investigate the triggering mechanism of HMEs, the cluster properties of MTs before HMEs have rarely been systematically studied. This hinders the application of MTs to predict HMEs and manage dynamic hazard risks. This study aims to characterize the cluster properties of MTs before HMEs and apply them to predict HMEs. A seismic clustering method suitable for the hybrid MT inversion was proposed to acquire reliable source mechanism solutions. Based on a case study, the MTs and decompositions were retrieved for seventeen HMEs and seismic events in the week preceding their occurrence. Cluster analysis results show that HMEs are close in location but still have entirely different source mechanisms. Pre-HME events show a distinct difference in strikes and dips in the cases dominated by roof movement or coal mass failure. The analysis of the cluster probabilities associated with source location errors, radius, and mechanisms was then conducted based on the seismic failure mechanisms; and a refined cluster possibility index, the number of possible clustered events (NPCE), was proposed to identify abnormal risk zones. A risk assessment index, namely the number of possible clustered events (INPCE), was proposed to evaluate the degree of a cluster of seismic events. A posteriori analysis of seventeen cases showed a prediction accuracy of up to 60% of HMEs, and a risk threshold of 0.4 was recommended in the case of acceptable completeness of seismic data. The low sensitivity of the monitoring system and the poor seismicity would be the two main limitations, and deep learning based automatic location and source mechanism inversion techniques could be used to improve the application.
Highlights An agglomerative hierarchical cluster-based source cluster determination method is proposed for hybrid moment tensor inversion.The moment tensor solutions of seismic events before high-magnitude events (HMEs) are analyzed.A rockburst assessment method is proposed based on cluster probability associated with source location errors, radius, and mechanisms.A risk-based assessment back analysis is conducted to discuss the advantages and limitations of the method.
Cluster Analysis of Moment Tensor Solutions and its Application to Rockburst Risk Assessment in Underground Coal Mines
https://orcid.org/0000-0002-0206-1523
Abstract High-magnitude events (HMEs) are commonly observed in underground mines, and they can lead to violent rock failures, such as rockbursts. While moment tensors (MTs) have been widely used to investigate the triggering mechanism of HMEs, the cluster properties of MTs before HMEs have rarely been systematically studied. This hinders the application of MTs to predict HMEs and manage dynamic hazard risks. This study aims to characterize the cluster properties of MTs before HMEs and apply them to predict HMEs. A seismic clustering method suitable for the hybrid MT inversion was proposed to acquire reliable source mechanism solutions. Based on a case study, the MTs and decompositions were retrieved for seventeen HMEs and seismic events in the week preceding their occurrence. Cluster analysis results show that HMEs are close in location but still have entirely different source mechanisms. Pre-HME events show a distinct difference in strikes and dips in the cases dominated by roof movement or coal mass failure. The analysis of the cluster probabilities associated with source location errors, radius, and mechanisms was then conducted based on the seismic failure mechanisms; and a refined cluster possibility index, the number of possible clustered events (NPCE), was proposed to identify abnormal risk zones. A risk assessment index, namely the number of possible clustered events (INPCE), was proposed to evaluate the degree of a cluster of seismic events. A posteriori analysis of seventeen cases showed a prediction accuracy of up to 60% of HMEs, and a risk threshold of 0.4 was recommended in the case of acceptable completeness of seismic data. The low sensitivity of the monitoring system and the poor seismicity would be the two main limitations, and deep learning based automatic location and source mechanism inversion techniques could be used to improve the application.
Highlights An agglomerative hierarchical cluster-based source cluster determination method is proposed for hybrid moment tensor inversion.The moment tensor solutions of seismic events before high-magnitude events (HMEs) are analyzed.A rockburst assessment method is proposed based on cluster probability associated with source location errors, radius, and mechanisms.A risk-based assessment back analysis is conducted to discuss the advantages and limitations of the method.
Cluster Analysis of Moment Tensor Solutions and its Application to Rockburst Risk Assessment in Underground Coal Mines
Liu, Yaoqi (Autor:in) / Cao, Anye (Autor:in) / Wang, Changbin (Autor:in) / Yang, Xu (Autor:in) / Wang, Qiang (Autor:in) / Bai, Xianxi (Autor:in)
2023
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
BKL:
38.58
Geomechanik
/
56.20
Ingenieurgeologie, Bodenmechanik
/
38.58$jGeomechanik
/
56.20$jIngenieurgeologie$jBodenmechanik
RVK:
ELIB41
A Time-dependent Study on Rockburst in Coal Mines
| British Library Conference Proceedings | 1999
On rock stress in rockburst risk assessment of deep gold mines
| British Library Conference Proceedings | 1997
Rockburst risk assessment on South African gold mines: An expert system approach
| British Library Conference Proceedings | 1996
Rockburst investigation in South African mines
| British Library Conference Proceedings | 1999
Moment tensor for seismic events from Upper Silesian coal mines, Poland
| British Library Conference Proceedings | 1995