Seismic hazard estimation using databases with bimodal frequency-magnitude behaviour

Kyle Russell Woodward, Stuart Richard Tierney

Research output: Chapter in Book/Conference paperConference paper

Abstract

Many underground mines experience seismic events associated with rock mass failure which can be of sufficient magnitude to pose a significant hazard to operations. Probabilistic seismic hazard assessments are typically performed assuming a Gutenberg-Richter distribution for the frequency-magnitude relation for which the parameters are obtained from a best fit to the data. This distribution assumes self-similar data above the magnitude of completeness but this is not always valid. The breakdown in self-similarity can occur when there are multiple superimposed seismic sources, or when there are artificial noise sources such as orepasses and underground crushers. This paper introduces an alternative parametric technique to decompose a bimodal frequency-magnitude relation into two sub-distributions. The composite distribution method assumes that two separate distributions are underlying the observed frequency-magnitude behaviour. This assumption was tested with respect to a single Gutenberg-Richter model to describe frequency-magnitude behaviour. The hypercube optimisation algorithm was used to solve the parameters of the two superimposed distributions while minimising the residual sum of squares for the fit compared to the observed data. The mXrap software was used to implement the method at multiple underground mines for specific volumes and for grid-based analysis. The results show that locally, the seismic hazard can be severely underestimated if a single Gutenberg-Richter model is assumed but this can be improved with the composite distribution method.
Original languageEnglish
Title of host publicationUnderground Mining Technology 2017
Subtitle of host publicationProceedings of the First International Conference on Underground Mining Technology
EditorsMarty Hudyma, Yves Potvin
Place of PublicationPerth, WA
PublisherAustralian Centre for Geomechanics
Pages219-232
Number of pages13
ISBN (Electronic)9780992481070
Publication statusPublished - 2017
EventFirst International Conference on Underground Mining Technology - Sudbury, Canada
Duration: 11 Oct 201713 Oct 2017

Conference

ConferenceFirst International Conference on Underground Mining Technology
CountryCanada
CitySudbury
Period11/10/1713/10/17

Fingerprint Dive into the research topics of 'Seismic hazard estimation using databases with bimodal frequency-magnitude behaviour'. Together they form a unique fingerprint.

  • Cite this

    Woodward, K. R., & Tierney, S. R. (2017). Seismic hazard estimation using databases with bimodal frequency-magnitude behaviour. In M. Hudyma, & Y. Potvin (Eds.), Underground Mining Technology 2017: Proceedings of the First International Conference on Underground Mining Technology (pp. 219-232). Australian Centre for Geomechanics. https://papers.acg.uwa.edu.au/p/1710_17_Woodward/