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Failure in accretionary wedges with the maximum strength theorem: numerical algorithm and 2D
validation
P. Souloumiac, K. Krabbenhøft, Y. M. Leroy, B. Maillot
To cite this version:
P. Souloumiac, K. Krabbenhøft, Y. M. Leroy, B. Maillot. Failure in accretionary wedges with the
maximum strength theorem: numerical algorithm and 2D validation. Computational Geosciences,
Springer Verlag, 2010, 14 (4), pp.793-811. �10.1007/s10596-010-9184-4�. �hal-00584137�
with the maximum strength theorem:
numerial algorithm and 2D validation.
P. Souloumia
Laboratoire MSS-Mat, CNRS ,
Eole Centrale Paris, Chatenay Malabry, Frane,
K.Krabbenhøft
Centre for Geotehnial and Materials Modelling,
University of Newastle, NSW 2308, Australia,
Y.M.Leroy
Laboratoirede Géologie,CNRS ,
Éole Normale Supérieure, Paris, Frane,
and
B. Maillot
Département Géosienes et Environnement,
Université de Cergy-Pontoise, Frane.
Abstrat
Theobjetiveistoapturethe3Dspatialvariationinthefailuremodeouringinaretionarywedges,
andtheiranalogueexperimentsinthelaboratory,fromthesoleknowledgeofthematerialstrengthandthe
struturegeometry. Theproposedmethodologyreliesonthemaximumstrengththeoremwhihisinherited
from the kinematis approah ofthe lassiallimit analysis. It selets the optimum virtual veloity eld
whih minimizes the tetoni fore. These elds are onstruted by interpolation thanks to the spatial
disretization onduted with ten-nodedtetrahedra in 3D, and six-nodedtriangles in2D. Theresulting,
disrete optimization problem is rst presented emphasizing the dual formalism found most appropriate
in the presene of non-linearstrength riteria, suh as the Druker-Prager riterion used in all reported
examples.
Thenumerialshemeisrstappliedtoaperfetly-triangular2Dwedge. Itisknownthatfailureoursto
thebak,fortopographislopesmallerthan,andtothefrontforslopelargerthan,aritialslope,dening
sub-ritialand super-ritial slopestability onditions,respetively. Thefailuremodeisharaterizedby
theativationofaramp,itsonjugatebakthrustandthepartialorompleteativationofthedéollement.
It is shownthat the ritial slope isaptured preiselybythe proposed numerial sheme, therampand
the bakthrustorrespondingto regionsofloaliz edvirtualstrain. Theinueneofthebak-wallfrition
onthisritialslopeisexplored. Itisfoundthatthefailuremehanismisharaterizedbyathrustrooting
at thebase ofthe bakwall andthe abseneofbakthrust,for small enoughvaluesofthe fritionangle.
This inueneis wellexplained by theMohronstrutionandfurther validated withexperimentalresults
withsand,onsideredasananaloguematerial. 3Dappliationsofthesamemethodologyarepresentedina
ompanionpaper.
Otober26,2009
Submittedforpubliation.
The objetive is to determine the 3D failure mode whih haraterizes the onset of thrusting
orfoldinginfold-and-thrustbelts and inaretionary wedges. The numerialmethodwhihis
proposedhasitsrootinthekinematisapproahoflimitanalysisalthoughonlytheknowledgeof
the materialstrength isrequired. The numerialalgorithmand its2Dvalidationare presented
in this ontribution, the 3D appliations ina ompanionpaper (Souloumiaet al.,2009).
Thekinematisof 2Dfoldsand thrustshas been studiedatlengthand isnow wellaptured
by geometrialonstrutionsinspiredby theseminalworkofSuppe(1983). Theabsene ofany
onept of mehanis, suh as material strength and mehanial equilibrium render however
impossiblethe omparison between two geometrialonstrutionsneessary toselet the most
relevant. The meritof theseonstrutionsis however learinviewof theirsimpliityand their
potentialappliationintheoilindustry,oneompletedbytheomputationofthetemperature
evolution(Zoetemeijer and Sassi, 1992, Siamannaet al.,2004).
Thelineofworkwhihhas been followed by theauthorstries totakethe mostadvantage of
the2Dgeometrialonstrutionwhileaountingformaterialstrengthand mehanialequilib-
rium. The priniple of minimum dissipation was applied by Maillot and Leroy (2003) in their
study of a simple fault-bend fold, with either brittle or dutile material response, to nd the
optimum orientationofthe bak thrust. A morerigorous framework isnow adopted, basedon
the maximumstrength theorem forfritionaland ohesivematerials(Salençon, 1974,2002). It
was appliedtothe evolution of akink-foldby Maillotand Leroy (2006)proposing that,at any
stage of the struture development, its main geometrial attributes, suh as the kink dip and
width,ouldbefoundbyminimizingtheupperboundtothe appliedtetoni fore. Cubasand
al. (2008) extended this argumenttostudy sequen es of thrustswithinanaretionary wedge.
Souloumia etal. (2008) proved that the optimum stress stateould be alulatedat any step
of the thrusting sequen e development, based onthe statiapproah of the limitanalysis.
Thereisadenitedesiretopropose 3Donstrutionsoffoldingand thrustingwhihisoften
inhibited by the lak of intuition for parameterizing simplythe failure mehanism (e.g. ramp
andbakthrustsystem)attheonsetandduringthedevelopmentofthefold. Itisthusneessary
to develop a systemati proedure to study the failure mode of 3D geologialstrutures. For
the onset, the kinematisapproah of limit analysis ouldprovide a rst insight onthe failure
mode. It is the subjet of the present ontributionand it ishoped that the results ould help
in onstrutingthe 3D kinematis of the evolving strutures.
The proposed method,referred toas the maximum strength theorem, is based onthe kine-
matis approah of lassial limit analysis. It is emphasized that a omplete plastiity theory
is not required and the provisionfor the ohesive and fritionalroks of interest of astrength
domain, onvex in the stress spae, sues to obtain an upper bound to the applied tetoni
fore. Overtheyears,anumberofdierentnumerialformulationsofthemaximumstrength(or
upper bound) theorem have been proposed. Early formulations, fousing on two-dimensional
problems (Anderheggen and Knöpfel, 1972; Pastor, 1978; Bottero et al., 1980; Sloan, 1989),
typiallyinvolvedalinearizationofthestrengthdomainandmadeuse ofthesimplexmethodor
one ofitsderivativestosolvetheresultinglinear programs. Inspired by theprogress ingeneral
onvex programming, these linear programming formulations have reently been replaed by
more general non-linear formulations avoiding the need to linearize (Lyamin and Sloan, 2002;
KrabbenhøftandDamkilde,2003). Themostreentdevelopmentonthisfronthasbeen theap-
pliationsoftheso-alledoniprogrammingalgorithmstosolvetypiallimitanalysisproblems
suhasthe onesonsideredhereaswellasarangeofotherplastiityproblems(Krabbenhøftet
al., 2007; Krabbenhøft etal., 2008). These algorithms are partiularly suited for dealing with
non-smooth strength domains suh as those typially haraterizing the strength of ohesive,
Initsprimal formthe maximum strength theorem isformulated intermsof kinemativari-
ables,thevirtualveloities. Theirdistributionisonstrutedbyinterpolationthankstoaspae
disretization. This primal form with disretization leads to a onvex minimization problem.
Alternatively, it is possible to work diretly with the dual form of the theorem whih leads
to a maximizationproblem reminisent of the stati approah leading to lower bounds to the
tetoni fore. The dual variables of the veloities (of its symmetri gradient to be more pre-
ise) in the sense of power are regarded as stresses after appropriate saling, although they
do not onstitute statially admissible elds (these dual variables do not satisfy equilibrium).
From a numerial point of view, this alternative, dual approah has a number of advantages.
For example, it is possible to impose ompletelygeneral strength riteria ina straightforward
mannerwhereasaprimalupperbound formulationwould requirethespeiation oftheorre-
sponding support funtion. This funtion denes the maxium power whih ould be provided
for a given veloity and strength domain. Its analytial expression is ertainly non-trivial to
derive and the resulting onstraints diult to aount for in a lassial optimization ode.
Furthermore,followingthe approahproposedby(Krabbenhøftetal.,2005),theinorporation
of kinematially admissible veloity disontinuities is straightforward and will be proposed in
this paper forthe generalthree-dimensional ase for the rst time.
The paper ontents are as follows. The next setion is devoted to the presentation of the
numerialalgorithm. The 2Dsetting ismost suitedfor suhpresentation forsakeof simpliity
and the extension to 3D is postponed to Appendix B. The onstrution of the dual problem
is highlighted with the help of the primal-dual algorithm of linear programming summarized
in Appendix A. Appendix C presents the link between these strength domains, typial of soil
mehanis,and the oniprogrammingalgorithmsadopted inMosek (2008),whihis used for
allexamplesreportedhere. Setion3isonernedwith2D appliationstoaretionary wedges
of perfet triangularshape. Failure inthe bulk ours either to the bak orto the front, with
the omplete ativation of the weak déollement at the base, depending on the topographi
slope. The transition from sub-ritial (failure to the bak) to super-ritial (failure to the
front) is aptured exatly, validating the numerial proedure. It is shown that the frition
angle onthe bak wallinuenes the failure mode for sub-ritial onditions. For small values
of the frition angle, a single ramp roots to the base of the bak wall whereas a ramp and
bak thrust ours for larger values. The transition infailure mode ours for a frition angle
deteted numerially whih is exatlythe one predited by the Mohr's onstrution. It is also
shown that thesetwomodes of failureare reproduedinthe laboratoryexperimentswith sand
by seleting the appropriate frition onditions atthe bak wall ontat.
2 The maximum strength theorem with spatial disretization
Theobjetiveofthissetionistopresentinthreestepsthetheoryappliedinthenextsetionfor
2Dwedgesandfor3Dexamplesintheompanionpaper. Therststepisthepresentationofthe
upper bound theorem of lassial limit analysis, as it is found in Salençon (2002) and Maillot
and Leroy (2006). It is proposed here to approximate the strength domain externally by a
seriesofhyper-plane,intheappropriatestressspae,tofailitatetheset upoftheoptimization
problem. Theseondstepisthedisretizationofthespaeandtheonstrutionofinterpolations
for the virtual veloities as well as for the virtual salars assoiated to these hyper-planes.
The third step onsists in the dualization of the upper bound problem after disretization,
resultinginamaximizationproblemwherethe basiunknownsare saledtohave dimensionof
stress. Thisdual formulationisusedinallexamplesbut shouldnotbeonfusedwiththe lower
disussed.
2.1 Summary of the upper bound theorem of limit analysis
The upper bound theorem of limit analysis is alled here the maximum strength theorem to
emphasize that only the onept of strength is required. This theorem is now presented in
details.
The starting point is the theorem of virtual power whih states the equality between the
internal and the external powers for any kinematially admissible(KA) veloity eld. The set
S
u of KA elds omprises any eldU ˆ
whihis zero over part of the boundary∂ Ω
u where thedisplaements are presribed. Elements of
S
u are identied by asuperposed hat. The externalpower, dened by
P
ext( ˆ U) = Z
Ω
ρg · UdV ˆ + α Z
∂ΩT
T
o· UdS , ˆ
(1)is due to the power of the veloity over the body fore
g
,ρ
is the material density, and ofthe foreapplied onpart of the boundary
∂Ω
T. This applied foreis assumed tobe known indistribution
T
o but not in its intensity dened by the salarα
whih is the unknown of theproblem and for whih we seek the best upper bound. Note that in (1) and in what follows,
vetors and subsequently tensors, are identied with bold haraters. The internal power is
given by
P
int( ˆ U) = Z
Ω
σ : d( ˆ U) dV ,
(2)where
σ
andd( ˆ U)
are the Cauhy stress tensor and the virtual rate of deformation tensor (also denotedd ˆ
) based onU ˆ
, respetively. The double dot produt in (2) between these two tensors results inσ
ijd ˆ
ji in terms of their omponents in anorthonormal basis. The expression (2)fortheinternalpowerdoesnotaountforpotentialdisontinuitiesintheveloityeldsandbulk deformation is the only soure of dissipation. Expliit aount of disontinuities, whih
orientationsare partof theunknowns ofthe problem, istypialofanalytialdevelopments but
is not neessary in the numerialformulation onsidered in this paper. However, pre-dened,
physialdisontinuitiesthusofknowngeometryareapproahedaszonesofbulkmaterialhaving
a zero thikness. Their ativation is marked by a loalized deformation within these narrow
zones. The onventional nite-elementformulationsannot ope with the limitof zero length
in one diretion for an element beause of the resulting ill-onditioning of the stiness array
(see e.g. Day andPotts, 1994). To the ontrary,the formulationadopted inthe followingdoes
not involve suh ompliation. Indeed, as it willbe disussed in the last part of this setion,
it is entirely possible to inlude pathes of elements with a thikness identially set to zero.
Thisapproahwasrstsuggested byKrabbenhøftetal. (2005)intheontextoflinearveloity
elements and is extended here to quadrativeloity elementsin 2D and further generalizedto
3D.
Coming bak to the internal power (2), note that the stress eld is unknown and its elim-
ination is desired. For that purpose, we take advantage of the material maximum strength.
The stress is required to remain within the strength domain denoted
G( σ )
. The strength ofohesive,fritionalfaultsisusuallydesribed intermsoftheCoulombriterionandforpristine,
bulk materials the strength domain is
G( σ ) = { σ | σ
I− σ
III+ (σ
I+ σ
III) sin φ − C cos φ ≤ 0 } ,
(3)where
σ
Iandσ
III aretheminorandmajorprinipalstresses(ontinuummehanisonvention:tensile stresses are positive,
σ
I≥ σ
III) andC
andφ
are the ohesion and the frition anglerespetively. Failureisdesribed inthe2D planewhihisorthogonaltothe intermediatestress
diretion. The prinipal stresses ould be eliminated in favor of the stress omponents suh
that (3) reads in a2D setting
G( σ ) = { σ | σ
e+ 2P sin φ
B− 2C cos φ ≤ 0 } with σ
e= q
(σ
xx− σ
yy)
2+ 4σ
xy2, P = (σ
xx+ σ
yy)/2 ,
(4)in whih
σ
e andP
are referred to as the equivalent shear stress and the in-plane mean stress,respetively. The determination of the intermediate stress diretion beomes a burden in 3D
appliationsanditismoreonvenienttoonsiderthestrengthdomainbounded bytheDruker-
Prager riterion:
G
DP( σ ) = { σ | α
DPI
1+ p
J
2− C
DP≤ 0 } ,
(5)with I
1= tr( σ ) , J
2= 1
2 tr( σ
′· σ
′) , σ
′= σ − 1
3 tr( σ ) δ ,
inwhih
I
1 andJ
2 arethe rst invariantofthe stressand theseond invariantofthe deviatorystress, respetively. Notethat
σ
′ isthe deviatory stress andδ
the seond-order identity tensor in (5). The twomaterial parametersin (5) are the frition oeient and the ohesion for theDruker-Prager riterion and they are onviniently dened as
α
DP= tan φ
p 9 + 12 tan
2φ , C
DP= 3C
p 9 + 12 tan
2φ ,
(6)so that the domainboundaries desribed by (3) and (5) oinidefor 2D plane-strain problems
(see e.g. Davis and Selvadurai,2002, for further details).
Mostif not allstrength domainsonsidered in the literature are onvex. Consequently, the
maximum power
σ : ˆ d
is bounded and given for a given veloityU ˆ
by the support funtionπ(ˆ d)
. It depends on the geometry of the strength domain boundary and of ourse on theveloity eld. A graphial method to onstrut this funtion is presented in Figure 1 where
stress tensorsare represente d as vetors. The strength domainhas an arbitrary,albeitonvex,
boundary in the stress spae. Superpose in this stress spae the virtual rate of deformation
d ˆ
despite the dierene in dimension. This virtual rate of deformation is normal to the hyper-
plane represented with a dashed line. Translate this plane towards the strength domain, as
illustrated by the dotted urve, and the point of ontat, denoted
σ
∗, is the stress providing the maximum poweraording tolassial onvex analysis. Consequently:π(ˆ d ) = σ
∗: ˆ d
andthe seletionof
σ
∗ is indeeda funtionof the orientationofd ˆ
and of the shape of thestrengthdomain boundary.
The analysis of the 2D results insetion 3 willbe failitated with the expliit expression of
the support funtion. It reads
case 1 : tr(ˆ d) > ( | ˆ d
1| + | d ˆ
2| ) sin φ , π(ˆ d) = C
tan φ tr(ˆ d) ,
(7)case 2 : tr(ˆ d) = ( | ˆ d
1| + | d ˆ
2| ) sin φ , π(ˆ d) = C cos φ( | d ˆ
1| + | d ˆ
2| ) , case 3 : tr(ˆ d) < ( | ˆ d
1| + | d ˆ
2| ) sin φ , π(ˆ d) = + ∞ ,
for bulk materials having the strength limit dened by the Coulomb riterion (3) in 2D
(Salençon,2002). In(7),
d ˆ
1 andd ˆ
2 arethe2Dprinipalvaluesofthevirtualrateofdeformationof the rate of deformation. More speially, the trae of the virtual rate of deformation has
to be positive, for the bound to be nite, implying a virtual dilation whih we will not try to
interpret physially. This is due tothe innite resistane in pure ompressionassumed for the
Coulomb riterion.
*
L
ij
σ ij *
σ
d
σ ij
ij
Α ijb
Α ijc c
k b
k c b
Figure1:Thegraphialmethodtoonstrutthesupportfuntionforaonvexstrengthdomain. Thelinearized
strength domainbounds thesupport funtion externallyand isrepresentedby fourhyper-planes (twodashed
andtwosolidlines).
Itisfoundonvenientforwhatfollowstoapproximateexternallythestrengthdomainbound-
ary witha series of
n
hyper-planes inthe stress spae. Eahplane bounds ahalf-spaedened byA
a: σ − k
a≤ 0 , a = 1, ..., n ,
(8)in whih
A
a andk
a are the normal (symmetri seond-order tensor) to the hyper-plane and the referene stress (ohesion-like) for thea
th plane, respetively. Suh an approximation is presented in Figure 1 with four hyper-planes, two dashed and two solid lines, the latter twolabeled
b
andc
. It is alsoonvenient inwhat follows tointrodue the new variabless
a (slakvariable)whihdenethe distanebetween thestress pointand theboundaryofthe linearized
strength domain:
A
a: σ − k
a+ s
a= 0 with s
a≥ 0 .
(9)The same graphial method proposed above is used to onstrut the support funtion of the
linearized strength domain,referred to as
G
L. The translationof the hyper plane of normald ˆ
towards
G
L leads to the ontat at the orner denotedσ
L∗. It orresponds tothe intersetion of two hyper-planes of normalA
b andA
c inour spei illustration. Thevirtual rate of defor- mation tensor has to be oriented withinthe one dened by these twonormals. Consequentlyand more generally, the virtual rate of deformation is linearly related to the normals of the
various hyper-planes dening the ontat point
d( ˆ U) =
n
X
a=1
A
aˆ λ
awith ˆ λ
a≥ 0 ,
(10)where
λ ˆ
a are the non-negative virtual deformation omponents. In the example of Figure 1, theλ ˆ
a assoiated to the dashed lines are zero and the only stritly positive salars are relatedto the planes
b
andc
. Furthermore, the support funtion of the linearized riterion has the followingpropertiesπ
L(ˆ d) =
n
X
a=1
A
aˆ λ
a: σ
L∗=
n
X
a=1
λ ˆ
ak
a≥ π(ˆ d) ,
(11)the seond equality being a onsequene of
σ
L∗ belongingto eah ativated hyper-plane (non zeroλ ˆ
a) and onaount of (8), whihis then anequality.The onept of support funtion is now used to derive the upper bound to the loading
salar
α
. The internal work dened in (2) is bounded by abovewithP
int( ˆ U) ≤
Z
Ω
π
L(ˆ d)dV ,
(12)so that the theorem of virtual powerprovides
α Z
∂ΩT
T
o· UdS ˆ ≤ Z
Ω
π
L(ˆ d)dV − Z
Ω
ρg · UdV , ˆ ∀ U ˆ KA .
(13)The right-hand side providesthe upper bound
α
U, afterpropernormalizationin the left-hand side. The upper bound theorem, referred here as the maximum strength theorem, is thussummarized asthe minimizationproblemwith respet to the veloity elds
minimize
α
U= Z
Ω
n X
na=1
λ ˆ
ak
a− ρg · U ˆ o dV
subjet to
d( ˆ U) =
n
X
a=1
A
aˆ λ
a∀ x ∈ Ω , Z
∂ΩT
T
o· UdS ˆ = 1 ,
λ ˆ
a≥ 0 ∀ x ∈ Ω ,
U ˆ ∈ S
u= { U ˆ | U ˆ = 0 ∀ x ∈ ∂ Ω
u} .
(14)
2.2 Spatial disretization and interpolation of the veloity eld
The spatial disretization and the interpolation of the veloity eld as well as of the virtual
deformationomponents
λ ˆ
a are nowintrodued.Thedomainofinterest
Ω
isapproximatedbythedomainΩ
hwheretheboundaryorrespondsto a series of straight segments or planar surfaes, as illustrated for the 2D ase in Figure 2a.
The rest of this setion presents the 2D element, the generalization to 3D is postponed to
Appendix B. The interior of
Ω
h is partitioned inq
six-noded triangles (q = 11
in Figure 2b).Note that the mid-side nodes are at the same distane from the two nodes at the adjaent
verties. The virtual veloities within a six-noded triangle are interpolated in terms of the
nodalvirtual veloities.
The veloityinterpolationovera 2D element is
U ˆ
h=
3
X
i=1