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Subsurface Sensing and Imaging for Civil Infrastructure Diagnostics

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Project Goals CenSSIS Value Added Soil Dielectric Modeling Soil Dielectric Modeling Sensor & Image Reliability Sensor & Image Reliability Simulate multiple layers ... – PowerPoint PPT presentation

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Title: Subsurface Sensing and Imaging for Civil Infrastructure Diagnostics


1
(No Transcript)
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Subsurface Sensing and Imaging for Civil
Infrastructure Diagnostics
Students Heejeong Shin, FNU Brawijaya, and
Jennifer Marckesano (RPI) Kimberly Belli, Alex
Bonnar, Rick Unruh, Linnea Linton (NU) Lev
Pinelis (NU UROP) Advisors Dimitri A. Grivas,
Rensselaer Polytechnic Institute Sara
Wadia-Fascetti, Northeastern University Carey
Rappaport, Northeastern University Industrial
Partners TransTech Systems, Inc. Industrial
Collaborators Geophysical Survey Systems,
Inc. Infrasense, Inc. Radar Solutions
International Impact-Echo Instruments, LLC
This work was supported in part by the Center for
Subsurface Sensing and Imaging Systems (CenSSIS)
under the Engineering Research Centers Program of
the National Science Foundation (Award Number
EEC-9986821).
3
Project Goals
  • Create a Multi-Modal Subsurface Sensing Imaging
    (SSI)
  • Engineering System for Civil Infrastructure Media
  • Soil Dielectric Modeling model and simulate
    electromagnetic response of soil elements to
    identify and characterize geotechnical
    engineering properties
  • Sensor and Image Reliability assess accuracy
    and repeatability of images of bridge deck and
    pavement structures through statistical quality
    control
  • Sensor Fusion improve detection and measures of
    important CI G features

4
CenSSIS Value Added
  • Interdisciplinary and industrial collaboration
  • Use of CenSSIS models
  • Linkages to other applications
  • Technology transfer
  • Educational outreach

  • Hosted UROP who investigated Impact Echo for CI
    G applications
  • Developed Impact Echo Laboratory Module and
    Demonstration

5
Soil Dielectric Modeling
Conventional Dielectric Model of Soil Media
N2
Rational Function Model of Dispersive Media
? relative permittivity or dielectric constant
?s permittivity as f goes to 0 ?? relative
permittivity as the frequency goes to infinity ?p
1/relaxation frequency ? 2?f applied radian
frequency ?t time step
E applied electric field, D electric flux, J
electric current
6
Soil Dielectric Modeling
Three Phases of Geo-Materials
  • Soil dielectric models assist to better
  • understand interactions in soils and other
  • CIG materials
  • Predictive estimates of dielectric constants
  • and electromagnetic properties of medium
  • can
  • Enhance design
  • Increase detection
  • Decrease uncertainties
  • Models are formulated of the interactions between
    EM signals and mechanical characteristics of CIG
    materials to characterize mechanical behaviors
    through EM properties such as
  • Density vs. Dielectric permittivity
  • Delamination vs. EM signal amplitude

7
Soil Dielectric Modeling
Electromagnetic FEM Modeling Technique to
Characterize the Interaction of Sensors and
Porous Dielectric Media
Laboratory Model
EM Fields inside soil media showing EM sensors
8
Soil Dielectric Modeling
  • Average Dielectric Permittivity and Conductivity
    Are Related to
  • Volumetric fractions of components (porosity,
    void ratio and degree of saturation)
  • Characteristics of each component and their
    interaction

From Hilhorst, et al. (1994)
Dielectric behavior of soil as function of
frequency
  • Microstructure of the soil matrix (i.e., the
    shape, orientation, and arrangement of the
    particles and pores)

9
Sensor Image Reliability
Impact Echo Reliability Investigation
  • Data being analyzed for inclusion in M.S. Thesis
    (L. Linton)
  • Concrete slabs 3-9 square x 9.5 thick

Sampling of Experimental Results
Experimental Setup
Expected Results
10
Sensor Image Reliability
Core Sample Investigation (South Grand Island
Bridge, Buffalo, NY)
  • Core samples collected by Prudent Engineering
    Group for South Grand Island Bridge (Buffalo,
    NY)
  • GPR data collected by Infrasense, Inc.
  • Data analyzed from fundamental concepts of
    electromagnetics and compared to core samples

11
Sensor Image Reliability
GPR Accuracy Evaluation (North Grand Island
Bridge, Buffalo, NY)
Control Chart
ROC Curve
Contour Map for Rebar Amplitudes
12
Sensor Image Reliability
Exploratory Research Prior to Using the Soil
Testbed
Laboratory Setup
  • Simulate multiple layers
  • Evaluate the accuracy of GPR in determining layer
    thickness
  • Each layer has different density and/or grain
    size
  • Simulate delamination within reinforced concrete
  • Investigate effects of object orientation and
    antenna polarization

13
Sensor Fusion for Civil Infrastructure Diagnostics
  • Multi-modal sensors, implemented at the feature
    level, address
  • Modeling
  • Registration
  • Proof of concept
  • Assumed dielectric constant and EM properties

14
Sensor Fusion for Civil Infrastructure GPR / IR
Higher Temperature
15
Sensor Fusion for Civil Infrastructure GPR / IR
Infrared Image
Suspected deteriorated area Brighter area
(higher temperature)
Ground Penetrating Radar (GPR) Image
Suspected delamination area Weaker EM wave
Reflection
16
Sensor Fusion for Civil Infrastructure GPR / IE
Preliminary comparison of Impact-Echo and GPR for
Sensor Fusion
I Can detect directly OK Can detect and make
inferences P Possible, not sure how X Outside
limits
17
Project Status
  • Fusion of GPR with Infrared and Other Modalities
  • - Pilot study (complete)
  • Collect field data
  • - Bridge decks Grand Island Bridges GIB,
    Buffalo, NY
  • - Pavement structures Grand Central Parkway
    GCP, NYC
  • Evaluate ground truth data
  • - Controlled field data Two bridges, NY
    (planned)
  • - Laboratory test (ongoing)
  • - Reliability analysis (ongoing)
  • Evaluate sensor fusion algorithms (ongoing)

18
Industrial Collaboration Framework
  • Sensor/System Technology
  • Transtech Systems, Inc.
  • http//www.transtechsys.com
  • Geophysical Survey Systems, Inc. (GSSI)
  • http//www.geophysical.com
  • Impact-Echo Instruments, LLC
  • http//www.impact-echo.com
  • Field Testing
  • Infrasense, Inc.
  • http//www.infrasense.com
  • Radar Solutions International
  • http//www.radar-solutions.com

19
References
  • Drnevich, V.P., et al, REAL-TIME DETERMINATION
    OF SOIL TYPE, WATER CONTENT, AND DENSITY USING
    ELECTROMAGNETICS, FHWA/IN/JHRP-2000/20, Purdue
    University (2001)
  • Maser, K, CONDITION ASSESSMENT OF TRANSPORTATION
    INFRASTRUCTURE USING GROUND-PENETRATING RADAR.
    TECHNOLOGY REVIEW, Journal of Infrastructure
    Systems, Vol. 2, No. 2, pp 94 101, ASCE (1996)
  • Maser, K., M. Horschel, and D. Grivas,
    INTEGRATION OF GROUND PENETRATING RADAR AND
    INFRARED THERMOGRAPHY FOR BRIDGE DECK
    ASSESSEMENT, Structural Materials Technology V
    An NDT Conference, pp 119 128, The American
    Society for Nondestructive Testing, Inc. (2002)
  • Hilhorst, M. A. and Dirkson, C., "DIELECTRIC
    WATER CONTENT SENSORS TIME DOMAIN VERSUS
    FREQUENCY DOMAIN," Symposium and Workshop on Time
    domain Reflectometry in Environmental,
    Infrastructure, and Mining Applications, Spec.
    Publ. SP 19-94, pp. 23-33 (1994)
  • Shin, H. and D. Grivas, HOW ACCURATE IS GROUND
    PENETRATING RADAR(GPR) FOR BRIDGE DECK CONDITION
    ASSESSMENT?, accepted for publication,
    Transportation Research Record, Academy of
    Engineering (2003)
  • Wadia-Fascetti, S., Grivas, D., Schultz, C.B.,
    SUBSURFACE SENSING FOR HIGHWAY INFRASTRUCTURE
    CONDITION DIAGNOSTICS OVERVIEW OF CURRENT
    APPLICATIONS AND FUTURE DEVELOPMENT, Paper No.
    02-3987. Transportation Research Board 81st
    Annual Meeting, Washington D. C. (2002)
  • Rappaport, C., Wu, S., and Winton, S., FDTD WAVE
    PROPAGATION MODELING IN DISPERSIVE SOIL USING A
    SINGLE POLE CONDUCTIVITY MODEL, IEEE
    Transactions on Magnetics, vol. 35, pps.
    1542--1545 , (1999).
  • Yang, B. and Rappaport, C., RESPONSE OF
    REALISTIC SOIL FOR GPR APPLICATIONS WITH TWO
    DIMENSIONAL FDTD, IEEE Transactions on
    Geoscience and Remote Sensing, pp. 1198--1205 ,
    (2001).

20
Contact Information
  • Rensselaer Polytechnic Institute
  • Dimitri A. Grivas (grivad_at_rpi.edu) -
    Advisor
  • Heejeong Shin (shinh3_at_rpi.edu) - Graduate
    Student
  • FNU Brawijaya (brawi_at_rpi.edu) - Graduate
    Student
  • Jennifer Marckesano (marckj_at_rpi.edu) - Graduate
    Student
  • Phone 518-276-8609
  • Web Site http//www.rpi.edu/grivad/censsi
    s/index.htm
  • Northeastern University
  • Sara Wadia-Fascetti (swf_at_coe.neu.edu) -
    Advisor
  • Carey Rappaport (rappaport_at_neu.edu) - Advisor
  • Kimberly Belli (kbelli_at_coe.neu.edu) -
    Graduate Student
  • Alex Bonnar (bonnar.a_at_neu.edu) - Graduate
    Student
  • Linnea Linton (linnea_at_coe.neu.edu) - Graduate
    Student
  • Rick Unruh (runruh_at_coe.neu.edu) -
    Undergraduate Student
  • Lev Pinelis (lev20_at_hotmail.com) - UROP
  • Phone 617-373-4248
  • Web Site http//sca.coe.neu.edu/censsis
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