1. +
Reconstruction and Characterization of 3-D Biaxial
Specimen Microstructure
Jie (Jessie) Cao
Advisor: Prof. J. David Frost
School of Civil and Environmental Engineering
MSE6120
3. +
Background
Investigate the mechanism of strain localization; link the
microstructural properties with the engineering behavior of
Ottawa sands under biaxial shearing condition
Biaxial Shearing
Testing
UN
Microstructure
Characterization
Microscopy
Based Serial
Sectioning
4. +
Biaxial Shearing Testing
Material
Ottawa 20-30 sands
Specimen
Height: 140 mm
Length: 80 mm
Width: 40 mm
5. +
3-D Microstructure Reconstruction
Cutting and mounting
Grinding and polishing
Image capturing and processing
montage technique
binarization
6. +
3-D Microstructure Reconstruction
Render Processed images into 3D structures
(software VoxBlast from VayTek, Inc)
Unsheared Microstructure
Size: 1300×800×430
voxels=0.45 billion voxels with
side 14μm
Number of slices: 430
Resolution: 13.96 μm/pixel
Number of particles: ≈3800
Sand Particles
Pore space
7. +
Characterization of Microstructure
Dissection of Reconstructed Volume
B
slices: 300 x
430 pixels
~169 particles
A
slices: 1300 x
800 pixels
~312 particles
C
slices: 800 x
430 pixels
~104 particles
8. +
Characterization of Microstructure
Void Ratio Per Slice
Void Ratio=total number of void pixels/ total number of solid pixels
= 1/(Vv)solid -1
1. Hands-on Measurement
2-D Analysis
2. Digital Image Analysis
3-D Analysis
9. +
Characterization of Microstructure
Course Contents ( Hands-on Measurement )
Numerical
Extents
Vv; Sv; Lv
Number
Density
NA; Nv
Derived
Microstructural
Properties
Size, Shape,
and Orientation
Distribution
Spatial
Clustering and
Correlations
10. +
Characterization of Microstructure
Void Ratio Per Slice
1. Hands-on Measurement
Point Counting for Vv e
Slice Number#:
01 43 86 129 172 215
258 301 344 387 430
Cumulative Thickness(mm):
0 0.6 1.2 1.8 2.4
3.0 3.6 4.0 4.8 5.4 6.0
Void Ratio= 1/(Vv)solid -1
A
11. +
Characterization of Microstructure
Void Ratio Per Slice
Void Ratio= 1/(Vv)solid -1
1. Hands-on Measurement (systematic point counting)
N=5
PT=20
Pi
Pave=Pi/N
Vv=PP=Pave/PT
13. +
Characterization of Microstructure
Void Ratio=total number of void pixels/ total number of solid pixels
Void Ratio Per Slice
2. Digital Image Analysis
Point Counting result
eavg=0.510
Slices A
Slices B
Slices C
14. +
Implications
Application of Microscopy Based Serial Sectioning to
reconstruct the digital microstructures is feasible in soil
testing, and is widely accessible to researchers in
geotechnical engineering.
Microstructure of soil materials can be characterized
quantitatively to obtain several geometric attributes
through simple unbiased counting measurements. Some
geometric attributes are closely related to material
properties and performance.
15. +
Thanks for Attention
Jie (Jessie) Cao
Advisor: Prof. J. David Frost
School of Civil and Environmental Engineering
MSE6120