Compaction Geomechanics MBDCI Compaction Geomechanics: Mechanisms, Screening Maurice B. Dusseault.
The Geomechanics Challenges of Contemporary Deep Mining: … · 2013-11-14 · • Point Load Test...
Transcript of The Geomechanics Challenges of Contemporary Deep Mining: … · 2013-11-14 · • Point Load Test...
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School of Mining Engineering
The Geomechanics Challenges of Contemporary Deep Mining: Technology as the Pathway to
Increased Safety and Productivity
Fidelis T Suorineni
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Mine Accidents
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Mine Accidents
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Mine Accidents
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Outline • Tribute to our predecessors • Status of Key Issues in Geomechanics
– Stress measurements – Rock mass characterization – Failure Criteria – Numerical Modelling – Research model
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Outline Cont.
• Challenges of our time • Pathway to success
– Technology – Genuine multidisciplinary collaboration
• Conclusions • Acknowledgements
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Mining is Global
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Tribute to Our Predecessors
School of Mining Engineering
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Christian Otto Mohr Charles A. Coulomb
Mohr-Coulomb Failure Criterion
Physicist Civil Engineer
1835-1918 1736-1806
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Karl Terzaghi B.Sc. - Mechanical Engineering
Geosciences
Ph.D. - Mechanical Engineering
“Father of modern Geotechnical Engineering” 1883-1963
Courtesy: MIT Museum
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Leopold Müller
Leopold Müller at the Geomechanik Kolloquium 1966 in Salzburg, Austria
• Taught 1st Rock Mechanics course in the world in 1964 in Technical University of Munich
• Founder and 1st President of the International Society for Rock Mechanics
• B.Sc. – Civil Engineering
• Doctor in Technical Geology
1908 - 1988 Courtesy: ISRM
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• Point Load Test • Slake durability test • Hoek-Franklin triaxial cell • Strength-size
classification system • Block size determination
– WipFrag • ISRM Education • ISRM suggested methods
J.A Franklin: 1940 - 2012
• B.Sc. Civil Engineering • M.Sc. Engineering Geology • Ph.D. Rock Mechanics
(Dusseault and Graham, 2012; ISRM)
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Nick Barton
• Q-system • Shear strength of rock joints
• B.Sc. – Civil Engineering • Ph.D. Rock Slope Engineering
1944 -
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• Pillar Design • Rockbursts and
Seismicity
M.G.D. Salamon
Courtesy: Mertnet 1933-2009
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• The stiff testing machine
• Pioneered full-wave form continuous recording for rockburst monitoring
N.G.W. Cook
1938 - 2007
Courtesy: National Academy of Sciences
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Z.T. Bieniawski
RMR –System • Rock properties
‒ laboratory ‒ in-situ
1936 -
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D. H. Laubscher Block Caving
Dennis H Laubscher
From Stacey (2003)
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Evert Hoek B.Sc. Mechanical Engineering
• Hoek-Brown Failure Criterion
• Geological Strength Index (GSI)
1933 -
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E.T. Brown
Hoek-Brown Failure Criterion
Courtesy: ISRM 1938 -
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Brittle Hoek-Brown Failure Criterion
C.D. Martin
331ciσσσ =−
Martin (1994)
1950 -
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Classification of Generations
1860-82
1883-1900
1901-24
Missionary generation
The lost generation
The Greatest
generation
Architects of the new
deal
Crushed by the great
depression
Architects of the
modern age
Terzaghi
Leopold Muller
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Contributions of the Generations
1925-42
1943-60
1961-80
The silent generation
Baby boomers
Generation X
The lucky few
The Yuppies
Sense of ennui
1980-2000
The Millennials Generation
Y
High unemployment
Evert Hoek E.T. Brown J.A. Franklin M.D.G. Salamon Z.T. Bieniawski N.G.W. Cook
Bored generation - Gossipers: Me Me
Like Luxury - pleasure
We We
N.R. Barton C.D. Martin
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In-situ Stress Measurements The Challenges
School of Mining Engineering
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Reliability of In-situ stress measurements
“Techniques for measuring in-situ stress while greatly improved from what they were still give an amount of scatter which would be unacceptable in almost any other branch of engineering”
Hoek (1994)
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Error ranges
• Magnitude – ±15% to ±30%
• Orientation
– ±15º to ±30º
Grabinsky et al. (1997)
Effect
Stress Measurement Errors & Effects
(Suorineni et al. (2011)
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Orientation errors
• Oblique major principal stress orientation relative to orebody increases risk of rockbursting
Douglas Hay Medal
Consequences of Stress Measurement Errors
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Depth Range
Martin (2001)
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• Key issues – Rock memory over
time and different geological episodes
– Sample homogeneity – Sampling difficulty – Temperature – Heim’s rule
Recent Focus – Acoustic Emission
Disking
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Rock Mass Classification Systems What Next?
School of Mining Engineering
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By Genesis By Sedimentary Rock Type
RMR Database Rock Types
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RMR database depth distribution
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RMR and Stand-up Time
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• MRMR – RMR Adjustment
o Weathering o Stress o Blasting o Jointing
MRMR and Block Caving
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Caving depths Depth range of RMR database
Caving Problem Source
RMR & MRMR
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Scandinavian
Q-system
=
SRFJ
JJ
JRQDQ w
a
r
n
stressActiveSRFJ
strengthshearInterblockJJ
sizeBlocksJ
RQD
W
a
r
n
=
=
=• Rock mass is blocky
‒ All joint sets continuous
• Ambiguous
A B
C
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Rock types by Origin Depth range
15 m- 200 m Civil Tunnels
Q-system Database
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Support selection
• Underestimates rock mass self-support capacity
• Misleading in caveability prediction in block caving
Stability Graph & caveability
Implication of Q-weaknesses in Practices
Mawdesley (2002) Barton and Bieniawski (2008)
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Ni=# jt ends terminating in intact rock Na=# jt ends terminating in other jts No=#jt ends obscured by excavation limits High Ti>More massive rockmass
ISRM Recommendation for Joint Persistence Determination
( )
++
=oai
ii NNN
NT2
100
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Agree!
“------------ as soon as equations are presented in the field of rock mechanics and rock engineering, possible restrictions are quickly forgotten and the equation is easily applied uncritically.”
Palmstrom and Broch (2006)
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Accounting for Joint Persistence
Hoek (1994)
The problems of measuring the persistence of rock joints, determining the most likely failure mode for a rock containing a number of intersecting Structural features ………. are as formidable as always
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Failure Criteria in Geomechanics Soil versus Rock
School of Mining Engineering
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Mohr-Coulomb Failure Criterion
φστ tannc +=C=Cohesion σn=Normal stress ϕ=Angle of internal friction
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• Heavily jointed rock masses (1980)
• Disturbed rock masses (1988)
Hoek-Brown Failure Criterion • Redefinition of mb, s and a (2002)
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Hoek – Brown Failure Criterion
Hoek (1994)
“Our approach was entirely empirical and we worked from very limited data of rather poor quality. Our empirical criterion and our estimates of the input parameters were offered as a temporary solution to an urgent problem”
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The Challenge
Hoek (1994)
“It is my hope that ……… someone who has the skill and the motivation to pickup the challenge and to lead in the development of better tools for providing us with the input data which we need for engineering designs of the future.”
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Origin
• AECL – URL (Pinawa), Canada
• In-situ testing and monitoring
• Diligent laboratory testing – acoustic emission
Brittle Hoek-Brown/m-zero Criterion
ci
ci
sσσσ
σσσ
=−
=−
31
31 31
m=0 s=0.11
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• Granite • Granodiorite
In-situ Observations
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Experience with Suphides
• Massive • Disseminated • Host (Waste)
Question: All Rocks Have Same “s”?
Suorineni and Kaiser (2002)
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“There is deficiency in the training of rock mechanics engineers today. That deficiency is the absence of sufficient geology in the curriculum of civil and mining engineering programs.”
44th US Rock Mech. Symposium: Expert Panel Conclusion
Courtesy: ARMA (2010)
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Numerical Modelling
School of Mining Engineering
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Here Is The Problem
Hoek (1994)
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Fast Computers
Friendly Software
Where are the Input
parameters?
The Problem
Hoek (1994)
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Hoek’s Frustration Moore’s law
Computer chips double in power roughly every 18
months! Intel Co-founder, Gordon Moore
Data Collection Tools Vs. Computer Power Growth
Hoek (1994)
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Num
eric
al M
odel
ling
Rea
d an
d M
artin
(199
6)
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Hajiabdolmajid et al. (2000)
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The Prediction The Reality
The Northparkes E48 BLock
Strom (per. Comm.)
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The Big Question!
Barton (2004)
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Rockbursts and Seismicity Seen the Light?
School of Mining Engineering
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Current state “A disconcerting feature of rockbursts is that they defy conventional explanation.”
What is it?
Rockburst Hazard
Salamon (1983)
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Consequences of Rockbursts
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Research Status
Vasak and Suorineni (2011)
Vasak and Suorineni (2011)
Vasak et al. (2008)
Kaiser et al. (2006)
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Geomechanics Research Approach Now
School of Mining Engineering
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Research Silos • Research “Silos” stifle the progress
of young brilliant researchers – No pedigree for grants!
• Narrow focus • Nepotic collaborations
– Not genuine
• Peripheral research – Avoid the core research questions – Recycle publications
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Genuine Collaboration
• Best minds together – multidisciplinary – Not based on relationships but Strengths
• Share the investigation • Share the data • Share the credit
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Obstacles to Genuine Collaboration
• Who owns the credit for what is achieved?
• Who owns the Intellectual Property?
• Who is the lead author of the paper • How many papers can I publish? • How much of the money can I get
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Challenges of Our Time The Cancers and Higgs Bosons in Geomechanics
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Our Challenges
• Rockburst is the Cancer in Geomechanics – Rockburst prediction a priority – Stand-up to Rockbursts (SU2R)
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Remote mining technology
• Remove people from the workface! – Robotic applications
o Charging o Scaling o Support installation o Mapping! o etc
Our Challenges
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• Development of a realistic failure criterion for rocks – Based on rock fabric
and structure
• How? – Genuine
multidisciplinary collaboration
– Technology – Money! – Dedication
Our Challenges
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Numerical modelling
• Development of a realistic numerical modelling code – Excavation
performance prediction
In-situ stress measurements
• Accurate in-situ stress measurement technology – Minimize the large
errors
Our Challenges
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• Training – Need to strengthen
and emphasize geology in our programs o Mining Engineering o Civil Engineering
Our Challenge
“-------- John profoundly understood the intersection between geosciences and rock engineering, an attitude that pervaded his career.”
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Medical Geomechanics
My Wish!
Etemad (2012) Chai (2012)
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Pathway to Success Collaboration and Technology
School of Mining Engineering
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Technology Drives Mine Productivity and Safety
School of Mining Engineering
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Technology and Mine Productivity
0 1,000 2,000 3,000 4,000 5,000 6,000 7,000 8,000
1892
19
00
1908
19
16
1924
19
32
1940
19
48
1956
19
64
1972
19
80
1988
19
96
2004
20
12
2020
Year
Productivity (Tons/Person-Year)
Projected
Baiden (per. comm.)
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Significance of Technology
“It is the knowledge management benefits of new IT technology that will provide the greatest benefit to the industry.” “Although mine operations are generating more data, such information is rarely well utilized.”
Peterson et al. (2001)
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Significance of Scientific Visualization
“Investments in 3D visualization worldwide
– US$16.5 billion in 2010 > $20 billion in 2015!” Source: Generation of New Technology (GNT),
2010.
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Virtual Reality Facility - nD • Enhances ability to integrate complex / large
data sets from different sources • Enables easy understanding of complex data -
Identify linkages and trends • Encourages interdisciplinary team
collaboration and brainstorming • Provides great environment for strategic
planning and negotiating – Seeing is believing!
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Virtual Reality Facility -nD
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Collaboration Science and Medicine
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Model for Research Success
“Bring the best and most talented possible people together, fund them generously, oversee their progress rigorously, and shoot for big payoffs in a tight schedule”
(Time – April 1, 2013)
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Medical Research Success Drivers
• Enabling technologies – Dazzling scientific and research advances in:
oBioengineering oNanotechnology oDrug compounds and data gathering oCheaper and power computers
• Collaboration – Strength in numbers
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Cancer
• Stand Up to Cancer – SU2C
o genetics o pathologists o biostatisticians o biochemists o surgeons o Nurses etc
Genomics
• The Human Genome project – 27 Institutions
Successful Medical Projects
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Unlikely Minds Working Together
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Successful Science Projects
• Physics – Higgs Boson (God’s Particle)
• NASA – Space exploration
oCuriosity oLunar Module oetc
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The Effort
Detecting the Higgs was the primary goal of the $10 billion Large Hadron Collider, built by Europe's CERN particle physics lab on the Swiss-French border.
The Collaboration
Nearly 2000 physicists from U.S. institutions—including 89 U.S. universities and seven U.S. Department of Energy laboratories—participate in the ATLAS and CMS experiments, making up about 23 percent of the ATLAS collaboration and 33 percent of CMS at the time of the Higgs discovery.
Discovery of the Higgs Boson
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The Discovery The Reward
The Big Pay-Off
Nobel Price Winners in Physics
Peter Higgs Francois Englert
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• True multidisciplinary collaboration • Money! • Technology • Dedication • Planning and organization • High level rigorous progress reviews
Lessons from Science & Medicine
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Conclusions
• Our predecessors solved the problems of their time – Those solutions appear to have reached their
limits today
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Conclusions • Need paradigm change in research
attitude in geomechanics – Peripheral to Core – Pretence to Genuine multidisciplinary
collaboration
• Funding agencies can influence collaboration
• Need to work with technology developers
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Conclusions
Let us Turn Pain and Deficits into Joy and
Profits
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Acknowledgements
• My Family • Northparkes Mines Ltd. • School of Mining Engineering
– Prof. B. Hebblewhite – Maree Magafas and her team
• David Parker