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INSPECTING AND PRESERVING INFRASTRUCTURE THROUGH
ROBOTIC EXPLORATION
3D Microwave “Camera” for Concrete Delamination and Steel
Corrosion DetectionM. Dvorsky, S. Barker, M.T. Ghasr and R. Zoughi
Applied Microwave Nondestructive Testing Laboratory (amntl)Electrical and Computer Engineering Department
Missouri University of Science and Technology (S&T)August 2018
Objectives & Rationale• Use microwave imaging technique, based on
synthetic aperture radar methods, to detect:delamination, and successive corrosion of reinforcing steel bars in
concrete members.• Microwave signals penetrate inside of
dielectric materials.• Sensitivity to material property variation.• Ability to collect scanned data and create
relatively high-resolution images of interior of objects.
- & mm-Wave Spectra
1000 mm 1 mm10 mm
300 MHz 300 GHz30 GHz
-Waves mm-Waves
Q-Band33-50.5
V-Band50-75
W-Band75-110
Ka-Band26.5-40
D-Band110-170
X-Band8.2-12.4
Ku-Band12-18
K-Band18-26.5
Why - & mm-Wave NDT&E• Limitation associated with “standard”
techniques.• These signals penetrate into dielectric
materials, and composites. • Sensitive to dielectric property variation:
abrupt (boundaries) local (inclusions)gradual (gradient in material change).
• Polarization, frequency, measurement parameter (near-field vs. far-field) & probe type diversity-degrees of freedom.
• Sensitive to conductor surface properties.
Why - & mm-Wave NDT&E• Coherent properties – magnitude & phase.• Large available bandwidth.• Life-cycle inspection possibilities.• Electromagnetic modeling (analytical,
numerical and empirical).• On-line and real-time inspection.• Operation in industrial environments.• Little to no need for operator expertise.• Relatively inexpensive.
Synthetic Aperture Focusing
Probe RealAntenna
Flaw or Target
Composite under Inspection
Synthesized Antenna Length
Direction of Motion or Scan
R1 R2 R3 R4 R5
AntennaBeamwidth
h
SAR 2D Measurement
h
Aperture
Sample Under Test
∆x
∆y
7
Mortar Sample – Metal Thinning
12” x 12” x 5”(305 mm x 305 mm x 127 mm)
Mortar Sample – Metal Thinning
~100 mm
~25 mm
~125 mm
Shallow
Deep
~125 mm
Imaging Results
Prespective View
Side View
Imaging Results
(2.6)
X-band Ku-band K-band
Mortar Sample – CorrosionGrinded Area Filled with Rust @ One as Reference
50 mm
75 mm
12” x 7.5” x 5”(305 mm x 190 mm x 125 mm)
Imaging ResultsImage Slices
X-band Ku-band K-band
x (mm)
y (m
m)
0 50 100 150 200 250 3000
50
100
150
200
250
1
2
3
4
5
6
7
8
Concrete Samples: 1” Cover Un-Corroded Corroded
J-Band (5.85-8.2 GHz)
S16
Slide 14
DBS16 consider making the row sizes consistent in the table.
Consider rewriting bullet 2
consider swapping bullets 2 and 3pdsc003, 2/5/2013
Concrete Samples: 1” Cover Un-Corroded Corroded
Ku-Band (12.4-18 GHz)x (mm)
y (m
m)
0 50 100 150 200 250 3000
50
100
150
200
250
0.5
1
1.5
2
2.5
S16
Slide 15
DBS16 consider making the row sizes consistent in the table.
Consider rewriting bullet 2
consider swapping bullets 2 and 3pdsc003, 2/5/2013
Concrete Samples
J-Band (5.85-8.2 GHz)
Size & Uniform Corrosion
J-Band (5.85-8.2 GHz)
Non-Corroded Corroded
8”-Thick Concrete Slab
SAR 3D Image
SAR 2D Image Slices
60 mm 100 mm
50 mm
Pedestrian Bridge
Initial Results
Depth of ~50 mm
Summary & Future Activities• Potential for using microwave signals for
imaging of delamination and rebar corrosion is high.
• Successive corrosion of concrete samples will indicate possibility of detecting level of damage.
• New samples with delamination will be prepared and tested.
• Optimal frequency range will be determined.• Testing of the pedestrian bridge will continue.• Will initiate array design for 1D imaging.
Acknowledgement• This project was partially funded by the
INSPIRE University Transportation Center (UTC). Financial support for INSPIRE UTC projects is
provided by the U.S. Department of Transportation, Office of the Assistant Secretary for Research and Technology (USDOT/OST-R) under Grant No. 69A3551747126 through INSPIRE University Transportation Center (http://inspire-utc.mst.edu) at Missouri University of Science and Technology. The views, opinions, findings and conclusions reflected in this publication are solely those of the authors and do not represent the official policy or position of the USDOT/OST-R, or any State or other entity.