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Motivation and Objectives
Geophysical Waveform Frequency Attenuation as a Precursors to Rock Shear Failure
John Hinton1, Reza Hedayat2
Motivation
• The ability to predict shear failure in geomaterials has many potential applications.
Including geo-hazard risk mitigation and the ability to judge infrastructural integrity.
Experiments
•  Form an ideal specimen of gypsum and Indiana Limestone using 36 Grit sand paper
to create a rough surface over half, leaving a smooth surface over the other half
•  Apply direct shear stress on preformed rock sample
Geophysical Waveforms
Given a digital signal from each sensor, using MatLab:
1Student	Researcher,	Department	of	Geophysics,	2Faculty,	Department	of	Civil	and	Environmental	Engineering
CSM
Research Council
Objectives
• Investigate the geophysical signature from slip along rock discontinuities in a
laboratory setting
• Identify and interpret any precursors of failure
•  Send acoustic pulses
through specimen at a
frequency of 1MHz, with a
delay of 10µs
•  Record ultrasonic wave
propagation through
specimen during applied
stress, using a series of
recording sensors
Sample shears at wave
536
•  Model and interpret peak amplitude and peak location of raw data
•  Distribution models shows a peak in amplitude at wave 460
•  Signal distribution stack shows peak arrival time in wave 516
Spectral Analysis
Dominant Frequency
Future Work
•  Repeat experiment using fabricated switch-boxes, capable of recording with 40+ sensors
•  Analyze and interpret Phase Spectrum
•  3 point bending test for fracture initiation and propagation in rocks
•  Model peak amplitude and dominant frequency in the Fourier Domain using several
different windows and taper lengths
12P
5P	
13P	
10S	11P	
6S	
4S	9S	3S	
7S	
1S	2S	8S	
Smooth Surface
Rough Surface
Spectral Analysis
•  Amplitude spectrum shows peak at wave 456, earlier than raw data
•  Amplitude spectrum shows peak frequency at wave 502, consistent with raw data
Collected Data
Conclusions
•  The location of the maximum amplitude in the wave-set is earlier in wave number (and
therefore, in time) than the actual shear of the rock sample; this suggests that a precursor
is observable.
•  Measuring the maximum amplitude location may be an earlier precursor than the peak
frequency or peak arrival time.
•  Raw data shows P and S-wave arrivals of each transmitted wave

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JohnHintonUCTPoster

  • 1. Motivation and Objectives Geophysical Waveform Frequency Attenuation as a Precursors to Rock Shear Failure John Hinton1, Reza Hedayat2 Motivation • The ability to predict shear failure in geomaterials has many potential applications. Including geo-hazard risk mitigation and the ability to judge infrastructural integrity. Experiments •  Form an ideal specimen of gypsum and Indiana Limestone using 36 Grit sand paper to create a rough surface over half, leaving a smooth surface over the other half •  Apply direct shear stress on preformed rock sample Geophysical Waveforms Given a digital signal from each sensor, using MatLab: 1Student Researcher, Department of Geophysics, 2Faculty, Department of Civil and Environmental Engineering CSM Research Council Objectives • Investigate the geophysical signature from slip along rock discontinuities in a laboratory setting • Identify and interpret any precursors of failure •  Send acoustic pulses through specimen at a frequency of 1MHz, with a delay of 10µs •  Record ultrasonic wave propagation through specimen during applied stress, using a series of recording sensors Sample shears at wave 536 •  Model and interpret peak amplitude and peak location of raw data •  Distribution models shows a peak in amplitude at wave 460 •  Signal distribution stack shows peak arrival time in wave 516 Spectral Analysis Dominant Frequency Future Work •  Repeat experiment using fabricated switch-boxes, capable of recording with 40+ sensors •  Analyze and interpret Phase Spectrum •  3 point bending test for fracture initiation and propagation in rocks •  Model peak amplitude and dominant frequency in the Fourier Domain using several different windows and taper lengths 12P 5P 13P 10S 11P 6S 4S 9S 3S 7S 1S 2S 8S Smooth Surface Rough Surface Spectral Analysis •  Amplitude spectrum shows peak at wave 456, earlier than raw data •  Amplitude spectrum shows peak frequency at wave 502, consistent with raw data Collected Data Conclusions •  The location of the maximum amplitude in the wave-set is earlier in wave number (and therefore, in time) than the actual shear of the rock sample; this suggests that a precursor is observable. •  Measuring the maximum amplitude location may be an earlier precursor than the peak frequency or peak arrival time. •  Raw data shows P and S-wave arrivals of each transmitted wave