Memorias de investigación
Artículos en revistas:
Size distribution functions for rock fragments
Año:2014

Áreas de investigación
  • Ingenieria civil

Datos
Descripción
The capacity of 17 functions to represent the size distribution of fragmented rock is assessed on 1234 data sets o fscreene dfragments from blasted and crushed rock of different origins,of sizes ranging from 0.002 to 2000mm.The functions evaluated are Weibull,Grady,log-normal,log-logistic and Gilvarry,in their plain,re-scaled and bi-component forms,and also the Swebrec distribution and its bi-component extension. In terms of determination coefficient, the Weibullis the best two-parameter function for describing rock fragments,with a median R2 of 0.9886. Among re-scaled,three-parameter distributions, Swebrec and Weibull lead with median R2 values of 0.9976 and 0.9975,respectively.Weibull and Swebrec distributions tie again as best bi-component,with median R2 of 0.9993.Re-scaling generally reduces the unexplained variance by a factor of about four with respect to the plain function; bi-components further reduce this unexplained variance by a factor of about two to three.Size-prediction errors are calculated in four zones:coarse,central, fines andvery fines. Expected and maximum errors in the different ranges are discussed.The extended Swebrec is the best fitting function across the whole passing range for most types of data.Bimodal Weibull and Grady distributions follow,except for the coarse range,where re-scaled forms are preferable.Considering the extra difficulty in fitting a five parameter function with respect to a three- parameter one,re-scaled functions are the best choice if data do not extend far below 20% passing. If the focus is on the fine range,some re-scaled distributions may still do (Weibull,Swebrec and Grady,with maximum errors of 15?20% at 8%passing), but serious consideration should be given to bi-component distributions,especially extended Swebrec,bimodal Weibul land bimodal Grady
Internacional
Si
JCR del ISI
Si
Título de la revista
International Journal of Rock Mechanics And Mining Sciences
ISSN
1365-1609
Factor de impacto JCR
1,424
Información de impacto
Volumen
71
DOI
10.1016/J.IJRMMS.2014.08.007
Número de revista
Desde la página
381
Hasta la página
394
Mes
OCTUBRE
Ranking
La revista ocupa la posicion 5 de 21 en la categoria Mining and Mineral Processing.

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Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ingeniería de Georrecursos y Modelización
  • Departamento: Ingeniería Geológica y Minera