xP-frag: a new model to predict fragmentation from blasting

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xP-frag: a new model to predict fragmentation from blasting. / Sanchidrián, José Angel; Ouchterlony, Finn.
APS Blasting 5; New development on engineerign blasting: Proc 5th Asia-Pacific Symposium on Blasting Techniques . Hrsg. / Xuguang Wang. Beijing, China, 2017. S. 31-36.

Publikationen: Beitrag in Buch/Bericht/KonferenzbandBeitrag in Konferenzband

Harvard

Sanchidrián, JA & Ouchterlony, F 2017, xP-frag: a new model to predict fragmentation from blasting. in X Wang (Hrsg.), APS Blasting 5; New development on engineerign blasting: Proc 5th Asia-Pacific Symposium on Blasting Techniques . Beijing, China, S. 31-36, 5th Asia-Pacific Symposium on Blasting Techniques , Zhoushan, China, 26/09/17.

APA

Sanchidrián, J. A., & Ouchterlony, F. (2017). xP-frag: a new model to predict fragmentation from blasting. In X. Wang (Hrsg.), APS Blasting 5; New development on engineerign blasting: Proc 5th Asia-Pacific Symposium on Blasting Techniques (S. 31-36).

Vancouver

Sanchidrián JA, Ouchterlony F. xP-frag: a new model to predict fragmentation from blasting. in Wang X, Hrsg., APS Blasting 5; New development on engineerign blasting: Proc 5th Asia-Pacific Symposium on Blasting Techniques . Beijing, China. 2017. S. 31-36

Author

Sanchidrián, José Angel ; Ouchterlony, Finn. / xP-frag: a new model to predict fragmentation from blasting. APS Blasting 5; New development on engineerign blasting: Proc 5th Asia-Pacific Symposium on Blasting Techniques . Hrsg. / Xuguang Wang. Beijing, China, 2017. S. 31-36

Bibtex - Download

@inproceedings{19e879acebd84fe18f530c64b32229af,
title = "xP-frag: a new model to predict fragmentation from blasting",
abstract = "A model for fragmentation in bench blasting that originates from dimensional analysis of fragmentation in asteroid collision is presented. Percentiles of the size distributions are obtained in the basic model as the product of rock strength-to-explosive energy ratio, a bench shape factor, a scale factor or characteristic size and percentage passing-related factor. The parameters of the model are fitted to data from 169 bench blasts in different sites and rock types, bench geometries and delay times, for which the fragmentation of the muck pile was obtained by sieving. The basic model is found to significantly improve with an additional factor describing the rock mass structure in terms of the spacing and orientation of discontinuities, and another one describing the delay between successive contiguous shots; the latter is conveniently formulated as a function of the p-wave velocity and the holes spacing. The rock strength property chosen is the strain energy at rupture that, together with the explosive energy density (or energy powder factor), forms a combined rock strength/explosive energy non-dimensional factor. The model, called xP-frag, is applicable from 5 to 100 percentile fragment sizes, with all parameters determined from the fits significant to a 0.05 level. The expected error of the prediction Is below 25% at any percentile. These errors are a half to one third of the errors expected with the best prediction models available to date. ",
author = "Sanchidri{\'a}n, {Jos{\'e} Angel} and Finn Ouchterlony",
year = "2017",
language = "English",
isbn = "978-7-5024-7592-5",
pages = "31--36",
editor = "Xuguang Wang",
booktitle = "APS Blasting 5; New development on engineerign blasting",
note = "5th Asia-Pacific Symposium on Blasting Techniques ; Conference date: 26-09-2017 Through 29-09-2017",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - xP-frag: a new model to predict fragmentation from blasting

AU - Sanchidrián, José Angel

AU - Ouchterlony, Finn

PY - 2017

Y1 - 2017

N2 - A model for fragmentation in bench blasting that originates from dimensional analysis of fragmentation in asteroid collision is presented. Percentiles of the size distributions are obtained in the basic model as the product of rock strength-to-explosive energy ratio, a bench shape factor, a scale factor or characteristic size and percentage passing-related factor. The parameters of the model are fitted to data from 169 bench blasts in different sites and rock types, bench geometries and delay times, for which the fragmentation of the muck pile was obtained by sieving. The basic model is found to significantly improve with an additional factor describing the rock mass structure in terms of the spacing and orientation of discontinuities, and another one describing the delay between successive contiguous shots; the latter is conveniently formulated as a function of the p-wave velocity and the holes spacing. The rock strength property chosen is the strain energy at rupture that, together with the explosive energy density (or energy powder factor), forms a combined rock strength/explosive energy non-dimensional factor. The model, called xP-frag, is applicable from 5 to 100 percentile fragment sizes, with all parameters determined from the fits significant to a 0.05 level. The expected error of the prediction Is below 25% at any percentile. These errors are a half to one third of the errors expected with the best prediction models available to date.

AB - A model for fragmentation in bench blasting that originates from dimensional analysis of fragmentation in asteroid collision is presented. Percentiles of the size distributions are obtained in the basic model as the product of rock strength-to-explosive energy ratio, a bench shape factor, a scale factor or characteristic size and percentage passing-related factor. The parameters of the model are fitted to data from 169 bench blasts in different sites and rock types, bench geometries and delay times, for which the fragmentation of the muck pile was obtained by sieving. The basic model is found to significantly improve with an additional factor describing the rock mass structure in terms of the spacing and orientation of discontinuities, and another one describing the delay between successive contiguous shots; the latter is conveniently formulated as a function of the p-wave velocity and the holes spacing. The rock strength property chosen is the strain energy at rupture that, together with the explosive energy density (or energy powder factor), forms a combined rock strength/explosive energy non-dimensional factor. The model, called xP-frag, is applicable from 5 to 100 percentile fragment sizes, with all parameters determined from the fits significant to a 0.05 level. The expected error of the prediction Is below 25% at any percentile. These errors are a half to one third of the errors expected with the best prediction models available to date.

M3 - Conference contribution

SN - 978-7-5024-7592-5

SP - 31

EP - 36

BT - APS Blasting 5; New development on engineerign blasting

A2 - Wang, Xuguang

CY - Beijing, China

T2 - 5th Asia-Pacific Symposium on Blasting Techniques

Y2 - 26 September 2017 through 29 September 2017

ER -