Abstract
We focus on localizing the source of acoustic emissions within a compressed two-dimensional granular ensemble of photoelastic disks, having as main information the arrival times of the acoustic signal to 6 sensors located in the boundaries of the system. By estimating, thanks to the photoelasticity of the grains, the wave speed at every point of the structure, we are able to compute the arrival times from every point of the system to the sensors. A comparison between the arrival time differences between every set of computed values to those from the actual measurements allows finding the source of the acoustic emissions.
Highlights
We focus on localizing the source of acoustic emissions within a compressed two-dimensional granular ensemble of photoelastic disks, having as main information the arrival times of the acoustic signal to 6 sensors located in the boundaries of the system
1 Introduction ues ∆tcomp to those from the actual measurements ∆tmeas allows finding the source of the acoustic emissions
In the case of real seismicity, acoustics is the main source of information, and with three noncollinear seismometers it is –in principle– possible to localise the epicentre of an earthquake
Summary
We focus on localizing the source of acoustic emissions within a compressed two-dimensional granular ensemble of photoelastic disks, having as main information the arrival times of the acoustic signal to 6 sensors located in the boundaries of the system. Loads are transferred through contact mechanisms between neighbouring particles creating a network of force chains [10], which is responsible for a huge degree of heterogeneity inside the granular structure [11] Both the speed and amplitude of sound waves depend on the local value of the force network [12, 13]. In our quest of using a sheared granular system as an analogue to a tectonic fault [9], we focus this work on localising the source of acoustic emissions within a compressed two-dimensional granular system, having as main information the arrival time of the acoustic signal to six sensors located in the boundaries of the system. A comparison between the arrival time differences between every set of computed val-
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