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Toward Electromagnetic Characterization of Damage in Complex Dielectrics Nathan L. Gibson [email protected] In Collaboration with: Prof. H. T. Banks, CRSC Dr. W. P. Winfree, NASA AIP 2007 – Vancouver, Canada – p. 1

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  • Toward Electromagnetic Characterization of

    Damage in Complex Dielectrics

    Nathan L. [email protected]

    In Collaboration with:Prof. H. T. Banks, CRSC

    Dr. W. P. Winfree, NASA

    AIP 2007 – Vancouver, Canada – p. 1

  • Motivating Application

    The particular motivation for this research is the detection of defects in theinsulating foam on the space shuttle fuel tanks in order to help eliminate theseparation of foam during shuttle ascent.

    AIP 2007 – Vancouver, Canada – p. 2

  • Our Contributions• Gap Detection Inverse Problem• Modeling Hetereogeneous Materials

    • Distributions of Dielectric Properties• Homogenization• Microstructure Modeling

    • 2D Aspects• Knit Lines• Oblique Angles• Focusing• Obstacles

    AIP 2007 – Vancouver, Canada – p. 3

  • Outline

    • Damage Detection Problem for SOFI• Difficulties• Simplifications• Some Computational Results• Continuing Directions

    AIP 2007 – Vancouver, Canada – p. 4

  • Voids in Foam

    The foam on the space shuttle is sprayed on in layers(thus the acronym SOFI). Voids occur between layers.

    AIP 2007 – Vancouver, Canada – p. 5

  • Cured Layer

    As the top of each layer cures, a thin knit line is formed which is of higherdensity (i.e., is comprised of smaller, more tightly packed polyurethane cells).

    AIP 2007 – Vancouver, Canada – p. 6

  • SOFI Under 20X Magnification

    • Wavelength is on the order of 1mm; microstructure is smaller.• Most loss in the material is due to scattering from faces.• Numerical representation of cellular structure in an inverse problem is infeasible.

    AIP 2007 – Vancouver, Canada – p. 7

  • Picometrix T-Ray Setup

    • Step-block can be turned upside down to sample varying gap sizes.• Receiver and transmitter can be repositioned at various angles.• Signal can be focused or collimated.

    AIP 2007 – Vancouver, Canada – p. 8

  • THz Through Foam

    1100 1150 1200 1250 1300 1350 1400 1450

    L=0.0"

    L=0.5"

    L=1.0"

    L=2.0"

    L=3.0"

    L=4.0"

    Waveforms traversing various thicknesses of foam

    Time (ps)

    Ele

    ctric

    Fie

    ld (

    arb.

    uni

    ts)

    THz signal recorded after passing through foam of varying thickness, in apitch-echo experiment.

    AIP 2007 – Vancouver, Canada – p. 9

  • Time-of-flight

    Bitmap of time-of-flight recordings from step-block foam. Method clearlyshows steep boundaries between foam and voids.

    • Shows contrast, but does not accurately characterize damage.• Less effective on horizontal discontinuities.

    AIP 2007 – Vancouver, Canada – p. 10

  • Difficulties

    • Microstructure smaller than wavelength• Domain is very large compared to wavelength• Voids are only a few wavelengths large• Index of material is close to air• Ringing masks reflection information• Scattering effects not well understood• Obstacles

    AIP 2007 – Vancouver, Canada – p. 11

  • Microstructure

    • Homogenization (Periodic Unfolding Method)• In collaboration with D. Cioranescu, et al.• Can give an effective permittivity based on

    microstructure• Model random microstructures

    • Based on Appollonius tesselation of “randomraindrops”

    • Distributions of statistical parameters yieldsheterogeniety

    • Can be used with constant wave speed.

    AIP 2007 – Vancouver, Canada – p. 12

  • Apollonius Graph

    −0.5 0 0.5 1 1.5 2

    0

    0.2

    0.4

    0.6

    0.8

    1

    1.2

    1.4

    1.6

    1.8

    2Apollonius Graph and Truncated Domain

    x

    z

    Apollonius graph on a close packing of disks generated by a “random raindrop” algorithm. Theknit line is modelled using smaller drops.

    AIP 2007 – Vancouver, Canada – p. 13

  • Model of SOFI Microstructure

    Apollonius graph is truncated and stretched, then edges are given a thickness and discretized toresult in an indicator matrix as shown in the bitmap.

    AIP 2007 – Vancouver, Canada – p. 14

  • Simplifications• Assume single-cycle pulse of fixed frequency

    • Possibly only tracking peak frequency• Possibly solving broadband problem in

    parallel• Maxwell’s equations reduce to wave equation

    • Assume homogenized material• For low frequency, microstructure is

    negligible• For fixed frequency, single wave speed• Possibly from homogenization method

    • Assume 2D (uniformity in third)

    AIP 2007 – Vancouver, Canada – p. 15

  • 2D Problem Outline

    • Model• Equations• Boundary Conditions

    • Computational Methods• Sample Forward Simulations• Inverse Problems

    • Without Obstacle• With Obstacle

    AIP 2007 – Vancouver, Canada – p. 16

  • Sample Domain with Void

    0 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10.05

    0.06

    0.07

    0.08

    0.09

    0.1

    0.11

    0.12

    0.13

    0.14

    0.15

    x

    y

    Dashed lines represent knit lines, dot-dash is foam/air interface. Ellipticalpocket (5 mm) between knit lines is a void. “+” marks the signal receiver.Back wall is perfect conductor.

    AIP 2007 – Vancouver, Canada – p. 17

  • 2D Wave EquationWe assume the electric field to be polarized in the zdirection, thus for ~E = (0, 0, E) and ~x = (x, y)

    �(~x)∂2E

    ∂t2(t, ~x) −∇ ·

    (

    1

    µ(~x)∇E(t, ~x)

    )

    = −∂Js∂t

    (t, ~x)

    where �(~x) and µ(~x) = µ0 are the dielectricpermittivity and permeability, respectively.

    Js(t, ~x) = δ(x)e−((t−t0)/t0)

    4

    ,

    where t0 = tf/4 when tf is the period of theinterrogating pulse.

    AIP 2007 – Vancouver, Canada – p. 18

  • Boundary ConditionsConsider Ω = [0, 0.1] × [0, 0.2]

    • Reflecting (Dirichlet) boundary conditions (right)

    [E]x=0.1 = 0

    • First order absorbing boundary conditions (left)

    ∂E

    ∂t−

    1

    �(~x)µ0

    ∂E

    ∂x

    x=0

    = 0

    • Symmetric boundary conditions (top and bottom)[

    ∂E

    ∂y

    ]

    y=0,y=0.2

    = 0

    We use homogeneous initial conditions E(0, ~x) = 0.

    AIP 2007 – Vancouver, Canada – p. 19

  • Modeling Knit Lines/Void• The speed of propagation in the domain is

    c(~x) =c0

    n(~x)=

    1

    �(~x)µ0,

    where c0 is the speed in a vacuum and n is theindex of refraction.

    • We may model knit lines or a void by changingthe index of refraction, thus effectively the speedin that region.

    AIP 2007 – Vancouver, Canada – p. 20

  • 2D Numerical Discretization

    • Second order (piecewise linear) FEM in space

    • Second order (centered) FD in time

    • Linear solve (sparse)• Preconditioned conjugate-gradient

    (matrix-free)• LU factorization• Mass lumping (explicit)

    • Stair-stepping for non-vertical interfaces

    AIP 2007 – Vancouver, Canada – p. 21

  • Plane Wave Simulation

    Source located at x = 0, receiver at x = 0.03.

    AIP 2007 – Vancouver, Canada – p. 22

  • Plane Wave Signal

    0.1 0.2 0.3 0.4 0.5 0.6−1

    −0.8

    −0.6

    −0.4

    −0.2

    0

    0.2

    0.4

    0.6

    0.8

    1

    t (ns)

    E

    Signal received at center line (x=0.03)

    0.42 0.43 0.44 0.45 0.46 0.47 0.48

    −0.1

    −0.05

    0

    0.05

    0.1

    0.15

    Interrogating signal simulates a sine curve truncated after one half period.Reflections off void are shown in inset.

    AIP 2007 – Vancouver, Canada – p. 23

  • Picometrix T-Ray Setup

    Note the non-normal incidence and ability to focus.AIP 2007 – Vancouver, Canada – p. 24

  • Oblique Plane Wave Simulation

    Source located at x = 0, receiver at x = 0.03, but raised to collect center ofplane wave reflection.

    AIP 2007 – Vancouver, Canada – p. 25

  • Oblique Plane Wave Signal

    0.1 0.2 0.3 0.4 0.5 0.6−1

    −0.8

    −0.6

    −0.4

    −0.2

    0

    0.2

    0.4

    0.6

    0.8

    1

    t (ns)

    E

    Signal received at center line (x=0.03)

    0.42 0.43 0.44 0.45 0.46 0.47 0.48

    −0.1

    −0.05

    0

    0.05

    0.1

    0.15

    Nearly all of original signal returns even with an oblique angle of incidence.(Note: last knit line removed.)

    AIP 2007 – Vancouver, Canada – p. 26

  • Focused Wave Simulation

    Source modeled using scattered field formulation of point source reflectedfrom elliptical mirror. Receiver located at x = 0.03. Note top and bottomboundary conditions are now absorbing.

    AIP 2007 – Vancouver, Canada – p. 27

  • Focused Wave Signal

    0.1 0.2 0.3 0.4 0.5 0.6−1

    −0.8

    −0.6

    −0.4

    −0.2

    0

    0.2

    0.4

    0.6

    0.8

    1

    t (ns)

    E

    Signal received at center line (x=0.03)

    0.45 0.46 0.47 0.48 0.49 0.5 0.51

    −0.1

    −0.05

    0

    0.05

    0.1

    0.15

    Although reflections off of void are larger, the total energy that returns is lessthan the plane wave simulation.

    AIP 2007 – Vancouver, Canada – p. 28

  • Oblique Focused Wave

    Source modeled using scattered field formulation of point source reflectedfrom elliptical mirror. Receiver located at x = 0.03, but raised to collectcenter of focused wave reflection.

    AIP 2007 – Vancouver, Canada – p. 29

  • Oblique Focused Wave Signal

    0.1 0.2 0.3 0.4 0.5 0.6−1

    −0.5

    0

    0.5

    1

    t (ns)

    E

    Signal received at x=0.03

    0.46 0.48 0.5

    −0.1

    0

    0.1

    Data received from non-normally incident, focused wave. Reflection fromvoid is similar in magnitude to normal incidence focused wave.

    AIP 2007 – Vancouver, Canada – p. 30

  • 2D Void Inverse Problem• Assume we have data, Êi at times ti and x = x+• Given the width of an elliptical void w, we can

    simulate the electric field• Estimate void width w by solving an inverse

    problem:

    Find w ∈ Qad such that the following objectivefunction is minimized:

    J1(w) =1

    2S

    S∑

    i=1

    |E(ti,x+; w) − Êi|

    2.

    Location of x+ is crucial.AIP 2007 – Vancouver, Canada – p. 31

  • Intensity of Data Collected

    Intensity of data received from non-normally incident, plane waveinterrogating material with a void. (Note: knit lines are ignored, dashed line isshown merely to highlight location of void.)

    AIP 2007 – Vancouver, Canada – p. 32

  • Data Collected at High Intensity

    0.1 0.2 0.3 0.4 0.5 0.6

    −1

    −0.5

    0

    0.5

    1

    t (ns)

    E

    Signal received at high intensity area (x=0.03)

    0.5 0.55 0.6 0.65

    −0.1

    −0.05

    0

    0.05

    0.1

    0.15

    Shown is the difference between data received from non-normally incident,plane wave interrogating material with and without a void when receiverplaced in high intensity region. (Note: original signal peak is shown forreference.)

    AIP 2007 – Vancouver, Canada – p. 33

  • Objective Function On Domain

    Shown is a surface plot of the objective function at w = 0. Cross denotes thelocation of least intensity in signal received. Note that it correlates with regionof greatest contrast between material with void and without.

    AIP 2007 – Vancouver, Canada – p. 34

  • Data Collected at Low Intensity

    0.1 0.2 0.3 0.4 0.5 0.6

    −1

    −0.5

    0

    0.5

    1

    t (ns)

    E

    Signal received at low intensity area (x=0.03)

    0.5 0.55 0.6 0.65

    −0.1

    −0.05

    0

    0.05

    0.1

    0.15

    Shown is the difference between data received from non-normally incident,plane wave interrogating material with and without a void when receiverplaced in low intensity region. Amplitude of difference is doubled.

    AIP 2007 – Vancouver, Canada – p. 35

  • Domain with Obstacle

    Consider a domain with an opaque obstacle in front of a void.

    AIP 2007 – Vancouver, Canada – p. 36

  • Intensity of Data Collected

    Intensity of data received from interrogating a material with an obstacle infront of a void. Locations for receiver that were considered are directly aboveblack area, and directly below (i.e., (.03,.1)).

    AIP 2007 – Vancouver, Canada – p. 37

  • Data Collected Below

    0.1 0.2 0.3 0.4 0.5 0.6

    −1

    −0.5

    0

    0.5

    1

    t (ns)

    E

    Signal received below black region (x=0.03)

    0.5 0.55 0.6 0.65−1

    −0.5

    0

    0.5

    1x 10

    −3

    Shown is the difference between data received from non-normally incident,plane wave interrogating material with and without a void when receiverplaced below the invisible region. (Note: original signal peak is shown forreference.)

    AIP 2007 – Vancouver, Canada – p. 38

  • Objective Function On Domain

    Shown is a surface plot of the objective function at w = 0. The cross denotesthe location directly above the invisible region. Note that it correlates withregion of greatest contrast between material with void and without.

    AIP 2007 – Vancouver, Canada – p. 39

  • Data Collected Above

    0.1 0.2 0.3 0.4 0.5 0.6

    −1

    −0.5

    0

    0.5

    1

    t (ns)

    E

    Signal received above black region (x=0.05)

    0.5 0.55 0.6 0.65−0.01

    −0.005

    0

    0.005

    0.01

    Shown is the difference between data received from non-normally incident,plane wave interrogating material with and without a void when receiverplaced above invisible region. Amplitude of difference is two orders ofmagnitude larger.

    AIP 2007 – Vancouver, Canada – p. 40

  • J – Objective Function

    0.01 0.015 0.02 0.025 0.03 0.035 0.040

    0.2

    0.4

    0.6

    0.8

    1

    1.2x 10

    −4

    Width (m)

    J

    LSQ error for planewave interrogation

    high

    low

    Objective function versus void size for two locationsof receiver: above or below invisible region.

    AIP 2007 – Vancouver, Canada – p. 41

  • Inverse Problem Results• Without obstacles, receiver placement should be

    in region of low intensity for highest contrast(intensity is low due to void).

    • With obstacles, receiver placement should be atinterface between regions of low and highintensity for highest contrast (intensity is low dueto obstacle).

    • With proper placement of receiver, LM convergesto minimum of J after 12 iterations

    • Each forward solve is 1.5 hours• This does not incorporate noise (SNR ≈ 100:1)

    AIP 2007 – Vancouver, Canada – p. 42

  • Concluding Remarks

    With current power sources and detection devices,reflections from the front surface, voids, and knit linesare difficult to detect. Thus, for now, information iscollected from the total reflection off the aluminumbacking. More work needs to be done to matchsimulations to this data, including adding attenuationdue to scattering and using data to generate thesimulated source.

    AIP 2007 – Vancouver, Canada – p. 43

  • Continuing Directions• Modeling Approaches

    • Microscale scattering model• Match attenuation observed in data

    • Computational Methods• Edge elements• ABC/PML• Faster time-marching (time-splitting)

    • Quantify Robustness wrt Uncertainty• Material properties• Geometry• Interrogating signal

    AIP 2007 – Vancouver, Canada – p. 44

  • References[BGW05] H. T. Banks, N. L. Gibson and W. P. Winfree, “Gap detection withelectromagnetic terahertz signals”, Nonlinear Analysis: Real World Applications 6,381–416, 2005. Tech. Rep. CRSC-TR03-40.

    [B-05] H. T. Banks, V. A. Bokil, D. Cioranescu, N. L. Gibson, G. Griso, and B. Miara,“Homogenization of Periodically Varying Coefficients in Electromagnetic Materials”,Journal of Scientific Computing, 28:2, 191–221, 2006. Tech. Rep. CRSC-TR05-05.

    [BG05] H. T. Banks and N. L. Gibson, “Inverse Problems Involving Maxwell’s Equationswith a Distribution of Dielectric Parameters”, Quarterly of Applied Mathematics 64:4,749–795, 2006. Tech. Rep. CRSC-TR05-29.

    [BG06] H. T. Banks and N. L. Gibson, “Void Detection in Foam with Knit Lines UsingTHz Pulse Interrogation”, Mathematical and Computer Modelling, 44:9–10, 807–815,2006. Tech. Rep. CRSC-TR06-05.

    [BBG06] H. T. Banks, V. A. Bokil and N. L. Gibson, “Parameter Estimation VersusHomogenization Techniques in Time-Domain Characterization of CompositeDielectrics”, to appear JIIPP special issue on IPMS-2006. Tech. Rep. CRSC-TR06-20.

    [BGW06] H. T. Banks, N. L. Gibson and W. P. Winfree, “2D Modeling of Pulsed THzInterrogation of SOFI”, to appear in Review of Progress in Quantitative NondestructiveEvaluation, vol. 26. Tech. Rep. CRSC-TR06-22.

    AIP 2007 – Vancouver, Canada – p. 45

    Motivating ApplicationOur ContributionsOutlineVoids in FoamCured LayerSOFI Under 20X MagnificationPicometrix T-Ray SetupTHz Through FoamTime-of-flightDifficultiesMicrostructureApollonius GraphModel of SOFI MicrostructureSimplifications2D Problem OutlineSample Domain with Void2D Wave EquationBoundary ConditionsModeling Knit Lines/Void2D Numerical DiscretizationPlane Wave SimulationPlane Wave SignalPicometrix T-Ray SetupOblique Plane Wave SimulationOblique Plane Wave SignalFocused Wave SimulationFocused Wave SignalOblique Focused WaveOblique Focused Wave Signal2D Void Inverse ProblemIntensity of Data CollectedData Collected at High IntensityObjective Function On DomainData Collected at Low IntensityDomain with ObstacleIntensity of Data CollectedData Collected BelowObjective Function On DomainData Collected Above$mathcal {J}$ -- Objective FunctionInverse Problem ResultsConcluding RemarksContinuing DirectionsReferences