Identifying Unstable Failure in Brittle Rock Using the Finite Difference Method
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2011/02/14
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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]
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ISBN:9780976757726
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Pages in Document:1-7
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NIOSHTIC Number:nn:20056898
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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
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Federal Fiscal Year:2011
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Performing Organization:Colorado School of Mines, Golden, Colorado
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Peer Reviewed:False
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Start Date:20090901
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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
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End Date:20130831
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Main Document Checksum:urn:sha-512:1c2e35159bccbb0fd41ab8e27b4988e046a92e5d9c4083d52b7c2518b13cbc9e6938a8b9ea9137eac59fc0415e560efbb220c1bc0a66cb2d3244e410a0ebff99
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