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Identifying Unstable Failure in Brittle Rock Using the Finite Difference Method



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  • Personal Author:
  • Description:
    Bonded-particle models (BPM) may be developed in PFC3D to represent rock samples with pre-determined material properties. Numerous particle and bond input parameters are required when constructing a BPM and the calibration of an advanced model is a non-trivial task. A routine was written in the FISH language to iteratively calibrate a simulated laboratory sample of coal to match a set of desired material properties: Young's modulus, Poisson's ratio, uniaxial compressive strength (UCS), and the slope of the UCS stress-strain curve after failure. This calibration method was developed using a Genetic Algorithm (GA) to search for an optimal set of input variables through a process of random variation, selection based on fitness, and a recombination of inputs. The Genetic Algorithm simultaneously modified 9 independent input parameters to calibrate the test results of a simulated specimen of coal to within 1% of the desired results. [Description provided by NIOSH]
  • Subjects:
  • Keywords:
  • ISBN:
    9780976757726
  • Publisher:
  • Document Type:
  • Funding:
  • Genre:
  • Place as Subject:
  • CIO:
  • Topic:
  • Location:
  • Pages in Document:
    1-7
  • NIOSHTIC Number:
    nn:20056898
  • Citation:
    Continuum and Distinct Element Numerical Modeling in Geomechanics: Proceedings of the 2nd International FLAC/DEM Symposium, February 14-16, 2011, Melbourne, Australia. Sainsbury DP ed. Minneapolis, MN: Itasca International Inc., paper no. 08-08, 2011 Feb; :1-7
  • Editor(s):
  • Federal Fiscal Year:
    2011
  • NORA Priority Area:
  • Performing Organization:
    Colorado School of Mines, Golden, Colorado
  • Peer Reviewed:
    False
  • Start Date:
    20090901
  • Source Full Name:
    Continuum and Distinct Element Numerical Modeling in Geomechanics: Proceedings of the 2nd International FLAC/DEM Symposium, February 14-16, 2011, Melbourne, Australia
  • End Date:
    20130831
  • Collection(s):
  • Main Document Checksum:
    urn:sha-512:1c2e35159bccbb0fd41ab8e27b4988e046a92e5d9c4083d52b7c2518b13cbc9e6938a8b9ea9137eac59fc0415e560efbb220c1bc0a66cb2d3244e410a0ebff99
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  • File Type:
    Filetype[PDF - 1.18 MB ]
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