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Contents lists available atScienceDirect

Journal of Computational Physics

www.elsevier.com/locate/jcp

Numerical solution of an inverse boundary value problem for the heat equation with unknown inclusions

Haibing Wang

, Yi Li

SchoolofMathematics,SoutheastUniversity,Nanjing 210096,PRChina

a r t i c l e i n f o a b s t r a c t

Articlehistory:

Received1August2017

Receivedinrevisedform3February2018 Accepted4May2018

Availableonline9May2018

Keywords:

Inverseproblem Unknowninclusions Heatequation Layerpotential

Weconsidertheproblemofreconstructingunknowninclusionsinsideathermalconductor fromboundarymeasurements,whicharisesfromactivethermographyandisformulated as an inverse boundary value problem for the heat equation. In our previous works, weproposed asampling-type methodfor reconstructingthe boundaryofthe unknown inclusionand gaveitsrigorousmathematical justification.Inthispaper,wecontinueour previous works and provide afurther investigation ofthe reconstruction method from both the theoretical and numerical points of view. First, weanalyze the solvability of the Neumann-to-Dirichlet map gap equationand establish arelation of its solution to the Greenfunctionofan interior transmissionproblemfor the inclusion.Thisnaturally provides away of computingthis Greenfunction from the Neumann-to-Dirichlet map.

Ournewfindingsrevealtheessence ofthereconstruction method.Aconvergenceresult for noisy measurement data is also proved. Second, basedon the heatlayer potential argument,weperformanumericalimplementationofthereconstructionmethodforthe homogeneousinclusioncase.Numericalresultsare presentedtoshowthe efficiencyand stabilityoftheproposedmethod.

©2018ElsevierInc.Allrightsreserved.

1. Introduction

Consider the heat conduction in a two-layered medium (Fig. 1.1). Denote by D0 and D the outer and inner layers, respectively. Set

=DD0. Suppose that the thermal conductivities of D0 and D are 1 and k, respectively. We also assumethattheboundaries

D0 and

D ofD0 andD,respectively,areofclass C2.Forsimplicityofnotations,throughout thispaperwedenote X×

(

0

,

T

)

and

X×

(

0

,

T

)

by XT and

(∂

X

)

T,respectively,where X isaboundeddomaininR2 and

X denotesits boundary.Injecting aheatflux g on

oversome timeinterval

(

0

,

T

)

,the temperaturedistribution u in

T canbemodeledbythefollowinginitial-boundaryvalueproblem:

⎧ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎨

⎪ ⎪

⎪ ⎪

⎪ ⎪

(∂

t

− ∇ ·

k

∇)

u

=

0 inDT

, (∂

t

)

u

=

0 in

( \

D

)

T

,

u

|

u

|

+

=

0 on

(∂

D

)

T

,

k

νu

|

νu

|

+

=

0 on

(∂

D

)

T

,

νu

=

g on

(∂)

T

,

u

=

0 att

=

0

,

(1.1)

*

Correspondingauthor.

E-mailaddress:hbwang@seu.edu.cn(H. Wang).

https://doi.org/10.1016/j.jcp.2018.05.008

0021-9991/©2018ElsevierInc.Allrightsreserved.

(2)

Fig. 1.1.Configuration of the medium.

where

ν

on

D (or

)istheunitnormalvectordirectedintotheexteriorof D (or

).Herethesubscripts“+and indicatethetracetakenfromtheexteriorandinteriorofD,respectively.

The abovemodelhasmanyimportantapplications insciencesandengineering. Inactive thermography, D isregarded as an inclusion and D0 is the background medium. In thiscase, the forward problem is to determine the temperature distributionin

T foranyinjectedheatfluxgon

(∂)

T,whiletheinverseproblemistoreconstructtheunknowninclusion D fromboundary measurements. Instead of recovering the thermal conductivity, we are more interested in finding the location,sizeandshapeoftheinclusionasadefectinsidetheconductor.Weprovedin[17] thatforanygH12,−14

((∂)

T

)

thereexistsauniquesolutionuto(1.1) in H˜1,12

(

T

)

.DefinetheNeumann-to-Dirichletmapby

D

:

H12,14

((∂)

T

)

H12,14

((∂)

T

),

g

u

|

(∂)T

,

whichisan idealizedmeasurementdataforactive thermography.Thenourinverseproblemistoreconstruct D from

D, wherekisunknown.Theuniquenessandstabilityestimateareestablishedin[7,8].Asforreconstructionmethods,werefer to[6,9,13–16,21] andthereferencestherein,wherethedynamicalprobemethodandtheenclosuremethodaredeveloped.

Recently, the authors establisheda linear sampling-typemethod fortheheat equation in [12,17,18]. However, numerical studiesofthesereconstructionmethodsforparabolicinverseboundaryvalueproblemsareratherlimited[19].Somerelated worksonotherkindsofparabolicinverseboundaryvalueproblemscanbefoundin[2,3,5,10,11,20].

Inthiswork,basedontheheat layerpotentialtheory,weinvestigateboththeforwardandinverseproblemsfromthe numerical pointofview.Especially, thesampling-typereconstruction methodestablished in[17] for ourinverseproblem will be numerically implemented. Roughly speaking,this reconstruction methodis based on the characterization of the solutiontotheso-calledNeumann-to-Dirichletmapgapequation

(

D

)

g

=

G(y,s)

(

x

,

t

),

(1.2)

where

is theNeumann-to-Dirichlet map when D= ∅, and G(y,s)

(

x

,

t

)

:=G

(

x

,

t;y

,

s

)

isthe Green function forthe heat operator

t

in

T withhomogeneous Neumannboundaryconditionon

(∂ )

T.Intermsofthischaracterization, thenormofthesolutionto(1.2) servesasanindicatorfunctionandtheboundaryofD canbereconstructedapproximately by computingthevaluesoftheindicator functionataset ofsamplingpoints. Althoughthesampling-typereconstruction methodforinversescatteringproblemshasbeenextensivelystudied;see[1] andthereferencestherein,veryfewnumerical resultsforparabolicinverseboundaryvalueproblemsarereported.Werecentlystudiedin[19] thenumericalimplementa- tionofthesamplingmethodforidentifyingunknowncavitiesinthethermalconductor,buttherigidinclusioncasehasnot yetconsidered.

In this paper, we continue our previous worksand investigatethe numerical realizationof the samplingmethod for parabolicinverseboundaryvalueproblemswithunknowninclusions.Firstofall,wesupplementthetheoreticalanalysisof ourreconstructionmethodbyanalyzingthesolvabilityoftheequation(1.2) andshowingtherelationofitssolutiontothe Greenfunctionofan associatedinteriortransmissionproblem.Thesenewfindingsrevealtheessence ofthesampling-type reconstruction method. In addition, a convergence resultfor noisy measurement data is proved. Then, we simulate the measurementdata

D bysolvingtheforwardproblem(1.1),andcomputetheNeumann-to-Dirichletmap

andtheGreen function G(y,s)

(

x

,

t

)

by solving the problem(1.1) with D= ∅. Byexpressingthe solutionasa single-layer heat potential, theinitial-boundary valueproblem(1.1) istransformedintoasystemofboundaryintegral equations.Anumericalscheme for solvingthe resultingintegral equationsisintroduced. Finally,we solvethe discretizedNeumann-to-Dirichlet map gap equation usingthe Tikhonov regularizationtechnique. We show the performance ofthe reconstruction method fromthe following twoaspects.1.We testthemethodforinclusionsofdifferentshapesandthermalconductivities.2.We testthe method with shorttime measurements, namely, usingmeasured dataonly in a very short time interval. Our numerical resultsillustratetheefficiencyofthereconstructionmethod.

(3)

Therestofthispaperisorganizedasfollows.InSection2,werevisitthesampling-typereconstructionmethodandshow some newtheoretical results.InSection 3,weintroduceanumericalschemeforsolvingtheforwardproblemtosimulate themeasurementforourinverseproblem.TwonumericalexamplesareprovidedinSection4.Finally,inSection5,wegive someconcludingremarks.

2. Reconstructionmethodfortheinverseproblem

In this section, we revisit the sampling-type reconstruction method for the heat equation with unknown inclusions studiedin[17],andgiveafurtherinvestigationonthismethodbyshowingsomenewtheoreticalresults.Explicitly,wewill analyzethesolvabilityoftheNeumann-to-Dirichletmap gapequationandexplainwhatisthesolutionifitdoesexist.The relationof its solutionto theGreen function ofa relatedinteriortransmissionproblemis established,which revealsthe essenceofthereconstructionmethod.Fornoisymeasurementdata,aconvergenceresultisalsoproved.

Tobeginwith,letusintroducetheanisotropicSobolevspaces.For p

,

q0 wedefine

Hp,q

(R

2

× R) :=

L2

(R;

Hp

(R

2

))

Hq

(R;

L2

(R

2

)).

Forp

,

q0 wedefinethespaceHp,q bydualityHp,q

(R

2×R):=

Hp,−q

(R

2×R)

.ByHp,q

(

XT

)

wedenotethespaceof restrictionsofelements inHp,q

(

R2×R

)

to XT.ThespaceHp,q

((∂

X

)

T

)

isdefinedanalogously.Wealsodefinethefunction spaces

H

˜

1,12

(

XT

) :=

u

H1,12

(

X

× (−∞,

T

))

u

(

x

,

t

) =

0 fort

<

0

,

H

ˆ

1,12

(

XT

) :=

u

H1,12

(

X

× (

0

, +∞ ))

u

(

x

,

t

) =

0 fort

>

T

,

H

˜

1,12

(

XT

;

t

− ∇ · γ ∇) :=

u

∈ ˜

H1,12

(

XT

) (∂

t

− ∇ · γ ∇)

u

L2

(

XT

)

,

where

γ

=1+

(

k1

) χ

D,and

χ

D isthecharacteristicfunctionofD.

Inthispaper,weworkintheaboveSobolevspaces,andsolutionstoinitial-boundaryvalueproblemsshouldbeunder- stoodintheweaksense.Forexample,thesolutionto(1.1) shouldbeinterpretedasfollows.ForgivengH12,14

((∂)

T

)

, weseeku∈ ˜H1,12

(

T;

t− ∇ ·

γ

)

suchthat

T 0

γ

u

· ∇

v

+

u

tv

dxdt

=

g

,

v

foranyv∈ ˆH1,12

(

T

)

,where istheDirichlettracemapon

(∂)

T and·,·shouldbeunderstoodinthesenseofduality.

Forlateruse,wedenoteby

Ga

(

x

,

t

;

y

,

s

) :=

⎧ ⎨

1

4a

π (

t

s

)

exp

− |

x

y

|

2 4a

(

t

s

)

,

t

>

s

,

0

,

t

s

(2.1)

thefundamentalsolutionoftheheatoperator

ta

,wherea isaconstant.WesometimeswriteitasGa(y,s)

(

x

,

t

)

. Notethat

isdefinedby

g:=v|(∂)T withv satisfying

⎧ ⎪

⎪ ⎩

(∂

t

)

v

=

0 in

T

,

νv

=

g on

(∂)

T

,

v

=

0 att

=

0

.

(2.2)

Definetheoperator

F

:=

D

.

Then our reconstruction scheme is based on the characterization of the solution to the Neumann-to-Dirichlet map gap equation

(

F g

)(

x

,

t

) =

G(y,s)

(

x

,

t

), (

x

,

t

)(∂)

T (2.3)

forafixedtimes

(

0

,

T

)

andthesamplingpoint y

. First,weanalyzethesolvabilityof(2.3).

(4)

Theorem2.1.ForyD ands

(

0

,

T

)

,theequation(2.3)hasasolutionifandonlyiftheinteriortransmissionproblem

⎧ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎨

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

(∂

t

− ∇ ·

k

)

w

=

0 inDT

,

(∂

t

)

v

=

0 inDT

,

w

v

=

G(y,s)

(

x

,

t

)

on

(∂

D

)

T

,

k

νw

νv

=

νG(y,s)

(

x

,

t

)

on

(∂

D

)

T

,

w

=

0 att

=

0

,

v

=

0 att

=

0

(2.4)

issolvablewiththesolutionw andv satisfyingtheequations

(∂

t− ∇ ·

γ

)

w=0and

(∂

t

)

v=0in

T,respectively.

Proof. Supposethat gH12,14

((∂)

T

)

isasolutionto(2.3).Letw andv satisfy

⎧ ⎪

⎪ ⎩

(∂

t

− ∇ · γ )

w

=

0 in

T

,

νw

=

g on

(∂)

T

,

w

=

0 att

=

0

(2.5)

and

⎧ ⎪

⎪ ⎩

(∂

t

)

v

=

0 in

T

,

νv

=

g on

(∂)

T

,

v

=

0 att

=

0

,

(2.6)

respectively.Thenwehave

w

v

=

Dg

g

=

G(y,s) on

(∂)

T

,

νw

νv

=

0

=

νG(y,s) on

(∂)

T

,

andtherefore

w

v

=

G(y,s) in

( \

D

)

T

.

Bythecontinuitiesofw andv across

D,wefurtherhave

w

|

v

|

=

G(y,s) on

(∂

D

)

T

,

k

νw

|

νv

|

=

νG(y,s) on

(∂

D

)

T

.

Totally,wehavetheinteriortransmissionproblem(2.4).

Conversely,assumethat

(

w

,

v

)

isasolutionto(2.4) andsatisfiestheequations

(∂

t− ∇ ·

γ

)

w=0 and

(∂

t

)

v=0 in

T,respectively.Bythecontinuitiesofwandv across

D,weobtainfromthetransmissionconditionsin(2.4) that

w

|

+

v

|

+

=

G(y,s) on

(∂

D

)

T

,

νw

|

+

νv

|

+

=

νG(y,s) on

(∂

D

)

T

.

Noticethat wvsatisfiestheheatequation

(∂

t

)(

wv

)

=0 in

(

\D

)

T.Thenitfollowsfromtheuniquecontinuation principlethat

w

v

=

G(y,s) in

( \

D

)

T

,

(2.7)

andhence

w

v

=

G(y,s)

,

ν

(

w

v

) =

νG(y,s) on

(∂)

T

.

(2.8) Thisimpliesthat

νw=

νv on

(∂)

T andg:=

νvisthesolutionto(2.3).Theproofisnowcomplete. 2

ThistheoremanalyzesthesolvabilityoftheNeumann-to-Dirichletmapgapequation(2.3). Furthermore,ifitdoesexist asolution,weexplainwhatisthesolutioninthefollowingtheorem.

(5)

Theorem2.2.Ifg isthesolutionto(2.3),weletv bethesolutionto(2.6)withtheboundarydata

νv|(∂)T =g.Thenwecanconclude that

v

=

GD(y,s)

(

x

,

t

)

G(y,s)

(

x

,

t

)

inDT

,

(2.9)

whereGD(y,s)

(

x

,

t

)

isdefinedby

⎧ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎩

(∂

t

− ∇ ·

k

)

H(Dy,s)

=

0 inDT

, (∂

t

)

G(Dy,s)

= δ(

x

y

) δ(

t

s

)

inDT

,

H(Dy,s)

G(Dy,s)

=

0 on

(∂

D

)

T

,

k

νH(Dy,s)

νG(Dy,s)

=

0 on

(∂

D

)

T

,

H(Dy,s)

=

0 att

=

0

,

GD(y,s)

=

0 att

=

0

.

(2.10)

Proof. Set

G

˜

D(y,s)

(

x

,

t

) =

G(Dy,s)

(

x

,

t

)

G1(y,s)

(

x

,

t

),

(2.11) G

˜

(y,s)

(

x

,

t

) =

G(y,s)

(

x

,

t

)

G1(y,s)

(

x

,

t

).

(2.12) Notethat G˜(y,s)

(

x

,

t

)

isthereflectedsolutionofthefundamentalsolutionG1(y,s)

(

x

,

t

)

in

T andsatisfies

⎧ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎩

(∂

t

)

G

˜

(y,s)

=

0 in

T

,

νG

˜

(y,s)

= −∂

νG1(y,s)

(

x

,

t

)

on

(∂)

T

,

G

˜

(y,s)

=

0 att

=

0

.

Weobservefrom(2.10) that

⎧ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎨

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

(∂

t

− ∇ ·

k

∇)

H(Dy,s)

=

0 inDT

, (∂

t

)

G

˜

(Dy,s)

=

0 inDT

,

H(Dy,s)

− ˜

G(Dy,s)

=

G1(y,s)

(

x

,

t

)

on

(∂

D

)

T

,

k

νH(Dy,s)

νG

˜

(Dy,s)

=

νG1(y,s)

(

x

,

t

)

on

(∂

D

)

T

,

H(Dy,s)

=

0 att

=

0

,

G

˜

D(y,s)

=

0 att

=

0

.

Letwandv bethesolutionsto(2.5) and(2.6) withthesameboundarydata

νv|(∂)T=g,respectively.Thenwehave

⎧ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎨

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

⎪ ⎪

(∂

t

− ∇ ·

k

)(

w

H(Dy,s)

) =

0 inDT

, (∂

t

)(

v

− ˜

GD(y,s)

+ ˜

G(y,s)

) =

0 inDT

, (

w

H(Dy,s)

)(

v

− ˜

G(Dy,s)

+ ˜

G(y,s)

) =

0 on

(∂

D

)

T

,

k

ν

(

w

HD(y,s)

)

ν

(

v

− ˜

G(Dy,s)

+ ˜

G(y,s)

) =

0 on

(∂

D

)

T

,

w

H(Dy,s)

=

0 att

=

0

,

v

− ˜

G(Dy,s)

+ ˜

G(y,s)

=

0 att

=

0

.

(2.13)

Theuniquenessofsolutionstotheinteriortransmissionproblem(2.4) saysthat v

= ˜

GD(y,s)

(

x

,

t

) − ˜

G(y,s)

(

x

,

t

)

inDT

,

whichgives(2.9) andcompletestheproof. 2

Here we wouldliketo emphasizethat the reflectedsolution G˜(y,s)

(

x

,

t

)

andthe Greenfunction G(y,s)

(

x

,

t

)

are com- pletelydeterminedbythedomain

.Sotheyareactuallyknowninourinverseproblem.Thus,oncewehavethesolution

(6)

g to(2.3),wesolvetheinitial-boundaryvalueproblem(2.6) withtheboundarydata

νv=g on

(∂)

T andthenobtainthe Greenfunction GD(y,s)

(

x

,

t

)

=v+G(y,s)

(

x

,

t

)

.Inthissense,ourreconstructionmethodinprincipleprovidesawayofcom- putingtheGreenfunctionG(Dy,s)

(

x

,

t

)

fortheinteriortransmissionproblem(2.4) fromtheNeumann-to-Dirichletmap

D.

For y

\D,wehaveproventhefollowingresultinourpreviouswork [17]:

Theorem2.3.Fors

(

0

,

T

)

andy

\D,theequation(2.3)hasnosolution.

AccordingtoTheorems2.2and2.3,wecannotguaranteethe solvability of(2.3).However,wecouldfindanapproxima- tion solutionin some sense thatcharacterizes the boundaryofthe inclusion.The theoretical resultsare obtainedin[17]

andcanbesummarizedasfollows.

Theorem2.4.Lets

(

0

,

T

)

befixed.Wehavethefollowingconclusions:

(1)ifyD,thenforany

ε >

0thereexistsafunctiongyH12,−14

((∂)

T

)

satisfying

F gy

G(y,s)

H12,14((∂)T)

< ε

suchthat

ylim→∂D

gy

H12,−14((∂)T)

= ∞

(2.14)

and

ylim→∂D

S gy

˜

H1,12(DT)

= ∞,

(2.15)

wheretheoperatorS isdefinedby

S

:

H12,−14

((∂)

T

) → ˜

H1,12

(

DT

),

gy

v

|

DT

,

withv beingthesolutionto(2.2);

(2)ify

\D,thenforany

ε , η >

0thereexistsafunctiongyH12,14

((∂)

T

)

satisfying

F gy

G(y,s)

H12,14((∂)T)

< ε + η

suchthat ηlim→0

gy

H12,−14((∂)T)

= ∞

(2.16)

and

ηlim→0

S gy

˜

H1,12(DT)

= ∞.

(2.17)

BasedonTheorem2.4,wedefinetheindicatorfunctionby I

(

y

) :=

gy

H12,−14((∂)T)

andreconstructthegeometricinformationon D usingthefollowingalgorithm:

Algorithm2.5.

1. Fixs

(

0

,

T

)

andselectasetof“samplingpoints y”in

;

2. Computeanapproximatesolutiontotheequation(2.3) foreachsamplingpoint;

3. Assertthat yD ifandonlyifI

(

y

)

C,wherethecut-offconstantC shouldbechosenproperly.

In practice, the measurement data always contain some noise, so the operator F cannot be given exactly andsome regularizationtechniqueisnecessaryinnumericalimplementations.Denoteby Fδ theperturbedoperatorof F with

Fδ

F

δ,

where

δ

is the noise level and · is the operator norm. Using the Tikhonov regularization method, we construct an approximatesolutiontotheperturbedNeumann-to-Dirichletmapgapequation

(7)

Fδg

=

G(y,s)

by

gαy

:=

α

I

+ (

Fδ

)

Fδ

1

Fδ

G(y,s)

.

(2.18)

Thenwehavethefollowingconvergenceresult:

Theorem2.6.LetyD andtheNeumann-to-Dirichletmapgapequation(2.3)haveauniquesolutiongy.Ifwechoosetheregular- izationparameter

α

properlysuchthat

α (δ)

0andα3/2δ(δ)0as

δ

0,thenitholdsthat

gαy

gy as

δ

0

.

(2.19)

Proof. Bydirectcalculations,wehave gαy

gy

=

α

I

+

Fδ

Fδ

1

α

I

+

FF

1

Fδ

G(y,s)

+

α

I

+

FF

1

Fδ

F G(y,s)

+

α

I

+

FF

1

F

G(y,s)

gy

.

(2.20)

Fromtheestimate

α

I

+

Fδ

Fδ

1

α

I

+

FF

1

2

δ

α

3/2

,

wehave

α

I

+

Fδ

Fδ

1

α

I

+

FF

1

Fδ

G(y,s)

Fδ

G(y,s)

2

δ

α

3/2

.

(2.21)

Noticethat

( α

I

+

B

)

1

1

α

holdsforanyself-adjointandpositiveoperatorB inHilbertspace.Thenweobtainthat

α

I

+

FF

1

Fδ

F G(y,s)

G(y,s)

δ

α .

(2.22)

Inaddition,itfollowsfromstandardregularizationtheorythat

α

I

+

FF

1

F

G(y,s)

gy as

α

0

.

Thus,theproofiscompletedbycombiningitwiththeestimates(2.21) and(2.22). 2

Remark2.7.Bythewell-posednessoftheinitial-boundaryvalueproblem(2.2) andtheequality(2.9),wecaneasilydeduce from(2.19) that

S

[

gαy

] −

G(Dy,s)

(

x

,

t

)

G(y,s)

(

x

,

t

)

˜

H1,12(DT)

0 as

δ

0

,

(2.23)

whichleadstotheconvergenceforcomputingtheGreenfunctionGD(y,s)

(

x

,

t

)

fromtheNeumann-to-Dirichletmap

D.

3. Numericalschemeforsolvingthedirectproblem

Inthissection,wepresentanumericalschemetosolvetheforwardproblem(1.1) fortwo-dimensionalspatialdomains.

Based on the potential theory for the heat equation, we first reformulate the initial-boundary value problem (1.1) as a systemofboundaryintegral equations,andthenintroducea discretizationschemeforsolvingthissystem.Thisschemeis anextensionofthemethodproposedin[2,3] tothelayeredmediumcase.Ourproblem(1.1) involvestheoperator

ta

witha=1

,

k,sothediscretizationoftheintegraloperatorsforageneralconstanta willbeconsidered.

(8)

Definethefollowingheatlayerpotentials:

Vai j

[ ϕ ](

x

,

t

) :=

t 0

Si

Ga

(

x

,

t

;

y

,

s

) ϕ (

y

,

s

)

d

σ (

y

)

ds

, (

x

,

t

)

Sj

× (

0

,

T

),

Nai j

[ ϕ ] (

x

,

t

) :=

t 0

Si

Ga

(

x

,

t

;

y

,

s

)

ν (

x

) ϕ (

y

,

s

)

d

σ (

y

)

ds

, (

x

,

t

)

Sj

× (

0

,

T

),

whereGa

(

x

,

t;y

,

s

)

isthefundamentalsolutiondefinedby(2.1).Laterwewilltakei

,

j=1

,

2 with S1=

Dand S2=

. Assumethat D isahomogeneous inclusion,that is,kisaconstant.Weexpressthesolutionu to(1.1) bythefollowing single-layerpotentials:

u

(

x

,

t

) =

t 0

D

Gk

(

x

,

t

;

y

,

s

) ϕ

1

(

y

,

s

)

d

σ (

y

)

ds

, (

x

,

t

)

DT

,

(3.1)

u

(

x

,

t

) =

t 0

D

G1

(

x

,

t

;

y

,

s

) ϕ

2

(

y

,

s

)

d

σ (

y

)

ds

+

t 0

G1

(

x

,

t

;

y

,

s

) ϕ

3

(

y

,

s

)

d

σ (

y

)

ds

, (

x

,

t

)( \

D

)

T

,

(3.2)

where

ϕ

1,

ϕ

2and

ϕ

3 aredensityfunctionstobedetermined.Usingjumprelationsofheatlayerpotentials[4],wecanverify that uexpressedby(3.1) and(3.2) isthesolutionto(1.1) providethat

ϕ

1,

ϕ

2 and

ϕ

3 satisfy

V11k

[ ϕ

1

] −

V111

[ ϕ

2

] −

V211

[ ϕ

3

] =

0

,

(3.3)

ϕ

1

+

2kNk11

[ ϕ

1

] + ϕ

2

2N111

[ ϕ

2

] −

2N121

[ ϕ

3

] =

0

,

(3.4)

2N112

[ ϕ

2

] + ϕ

3

+

2N122

[ ϕ

3

] =

2g

.

(3.5)

Notethat theintegral kernelsofV211 ,N121andN112aresmooth,whilethoseof V11k ,Nk11,V111, N111andN221 aresingularat

(

x

,

t

)

=

(

y

,

s

)

.Tonumericallysolvetheequations(3.3)-(3.5),wepresentadiscretizationschemeasfollows[2,3].

Assumethattheboundaries

D and

havetheparametricrepresentations

D

= {

x1

( α ) :

x1

( α ) = (

x11

( α ),

x12

( α )),

0

α

2

π } ,

= {

x2

( α ) :

x2

( α ) = (

x21

( α ),

x22

( α )),

0

α

2

π } ,

where xi j

(

x

)

(i

,

j=1

,

2) are ofclass C2 and2

π

-periodicfunctions. The unitoutward normalvectorson

D and

are givenby

ν

1

( α ) = (

x12

( α ),

x11

( α ))

|

x1

( α ) | , ν

2

( α ) = (

x22

( α ),

x21

( α ))

|

x2

( α ) | .

Set

ϕ

˜1

(β,

s

)

:=

ϕ

1

(

x1

(β),

s

)

,

ϕ

˜2

(β,

s

)

:=

ϕ

2

(

x1

(β),

s

)

,

ϕ

˜3

(β,

s

)

:=

ϕ

3

(

x2

(β),

s

)

,ri j

( α , β)

= |xj

( α )

xi

(β)

|.

Weapplyacollocationmethodusingpiecewiseconstantinterpolationwithrespecttothetimevariableontheequidis- tantgridtn:=nT

/

N,n=0

,

1

,

· · ·

,

N.Thatis,weapproximatethedensity

ϕ

˜i

(β,

s

)

by

˜

ϕ

i

(β,

s

)

N n=1

˜

ϕ

i,n

(β)

n

(

s

),

where

ϕ

˜i,n

(β)

:= ˜

ϕ

i

(β,

tn

)

,i=1

,

2

,

3 and

n

(

s

) :=

1

,

tn1

<

s

tn

,

0

,

otherwise

.

Take

Ki ja,p

( α , β) :=

⎧ ⎪

⎪ ⎨

⎪ ⎪

1 4πaE1

Nri j2(α, β) 4aT

,

p

=

0

,

1 4πaE1

Nr2i j(α, β) 4aT(p+1)

4π1aE1

Nr2i j(α, β) 4aT p

,

p

=

1

, · · · ,

N

1

,

(3.6)

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