Diederichs, MS
CGS Geocolloquium Award Lecture: Damage and spalling prediction criteria for deep tunnelling Journal Article
In: Canadian Geotechnical Journal, vol. 44, no. 9, pp. 1082-1116, 2011.
Abstract | Links | BibTeX | Tags: Analytical model, Empirical, empirical damage threshold, extensile damage accumulation, Hard rockmasses, spalling, strain bursting
@article{Diederichs2011,
title = {CGS Geocolloquium Award Lecture: Damage and spalling prediction criteria for deep tunnelling},
author = {MS Diederichs},
doi = {HTTPS://DOI.ORG/10.1139/T07-033},
year = {2011},
date = {2011-11-08},
journal = {Canadian Geotechnical Journal},
volume = {44},
number = {9},
pages = {1082-1116},
abstract = {palling and strain bursting has long been recognized as a mechanism of failure in deep underground mines in hard rock and in deep infrastructure tunnels. The latter is a significant growth industry, particularly in Europe where subalpine base tunnels in excess of 10 m wide and dozens of kilometres long are being driven by tunnel boring machine (TBM) through alpine terrain at depths greater than 2 km. In more massive granitoid or gneissic ground, these tunnels have experienced significant spalling damage. En route to a practical predictive technique for this condition, the author utilizes a number of analytical and micromechanical tools to validate a simple empirical predictive model for tunnel spall initiation. The true nature of damage and of yield, as the result of extensile damage accumulation, in hard rocks is examined using these tools. Based on the resultant conceptual model, the author expands on the empirical damage threshold, using a spalling limit to differentiate stress paths that lead to crack propagation and spalling from those that incur stable microdamage prior to conventional shear failure at higher relative confinements. Finally, the composite and robust in situ yield model is applied to nonlinear modelling for support design.},
keywords = {Analytical model, Empirical, empirical damage threshold, extensile damage accumulation, Hard rockmasses, spalling, strain bursting},
pubstate = {published},
tppubtype = {article}
}
Hume, CD; Diederichs, MS
Numerical Validation and Refinement of Empirical Rockmass Modulus Estimation Conference
World Tunnel COngress '10, Vancouver, British Columbia, Canada, 2010.
BibTeX | Tags: Empirical, Numerical analysis, Rockmass modulus
@conference{Hume2010,
title = {Numerical Validation and Refinement of Empirical Rockmass Modulus Estimation},
author = {CD Hume and MS Diederichs},
year = {2010},
date = {2010-01-01},
booktitle = {World Tunnel COngress '10},
pages = {8},
address = {Vancouver, British Columbia, Canada},
keywords = {Empirical, Numerical analysis, Rockmass modulus},
pubstate = {published},
tppubtype = {conference}
}
Diederichs, MS; Kaiser, PK
Rock instability and risk analyzes in open stope mine design Journal Article
In: Canadian Geotechnical Journal, vol. 33, no. 3, pp. 431-439, 1996.
Abstract | Links | BibTeX | Tags: Design, Empirical, Mining, Risk, Stability
@article{Diederichs1996,
title = {Rock instability and risk analyzes in open stope mine design},
author = {MS Diederichs and PK Kaiser},
url = {https://doi.org/10.1139/t96-064},
doi = {10.1139/t96-064},
year = {1996},
date = {1996-06-01},
journal = {Canadian Geotechnical Journal},
volume = {33},
number = {3},
pages = {431-439},
abstract = {Modern underground mining methods often call for the excavation of large, often unsupported voids called stopes. In many cases, these are nonentry stopes, with the removal of broken rock (mucking) performed by remote control. With the risk to human safety thus reduced, stability concerns within the stopes are primarily driven by the economics of unplanned overbreak and waste rock dilution of the mined ore. In this context, it is appropriate to speak of acceptable risks of instability and to optimize design by balancing risk costes with productivity potential. Larger individual stopes generally increase productivity while reducing stability. The modified stability graph is a popular empirical mine design tool that has been calibrated to provide discrete recommendations for maximum stope dimensions based on a rock quality index. It seems appropriate to extend the method to account for variability in the calibration data and also for variability in each new set of input parameters. A risk template and associated probabilistic techniques are proposed to supplement the discrete design limits currently established.},
keywords = {Design, Empirical, Mining, Risk, Stability},
pubstate = {published},
tppubtype = {article}
}
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