modeling and simulation of wave propagation based on

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Xianqiao Wang James D. Lee Department of Mechanical and Aerospace Engineering, George Washington University, Washington, DC 20052 Qian Deng Department of Mechanical and Aerospace Engineering, University of Florida, Gainesville, FL 32611 Modeling and Simulation of Wave Propagation Based on Atomistic Field Theory Motivated by the need for a more efficient simulation of material behavior at both larger length scale and longer time scale than direct molecular dynamics simulation, an atom- istic field theory (AFT) for modeling and simulation of multiphase material systems has been developed. Atomistic formulation of the multiscale field theory and its correspond- ing finite element implementation are briefly introduced. By virtue of finite element analy- sis of classical continuum mechanics, we show the existing phenomena of spurious wave reflections at the interfaces between regions with different mesh sizes. AFT is employed to investigate the wave propagation in magnesium oxide from the atomistic region to the continuum region without any special numerical treatment. Unlike some other atomistic/ continuum computational methods, AFT has demonstrated the capability to display both acoustic and optic types of wave motion. Numerical results show that AFT has the capability to significantly reduce the wave reflections at the interface. This work provides a more fundamental understanding of wave reflections at the atomistic/continuum interface. DOI: 10.1115/1.4002530 Keywords: atomistic field theory, wave propagation, finite element formulation, optic wave, multiphase material system 1 Introduction With the increase in the application of new experimental tools and new material synthesis techniques to nano/microsystems, multiscale material modeling has emerged as a significant ap- proach in computational materials research. To date, however, progress has been very slow. Despite widespread interest and ef- forts, major challenges exist for the simulation of nano/microscale systems over a realistic range of time, length, temperature as well as in multiple physical conditions and environments. The most formidable challenge that arises in such concurrent multiscale modeling is interfacing molecular dynamics with continuum me- chanics 1. Fundamentally, this is because continuum mechanics does not represent the dynamics of atomistic systems. The past few decades have seen the explosive growth of interest in theory and modeling of nanoscale, microscale, and multiscale material behavior. To begin with, the handshaking method 2–6 is a pioneering work, which incorporates the coupling of a tight- binding quantum mechanics approximation, molecular dynamics MD, and finite element FE continuum model. In this method, there is a “handshake” domain where the MD model and the con- tinuum model coexist with averaged Hamiltonian. One of un- solved problems with this method, which combines several theo- retical descriptions, is phonon scattering and wave reflection at the artificially created interfaces between atomic models and con- tinuum models. Cai et al. 7 introduced a condensation approach to minimize boundary wave reflection. Wagner and Liu 8 devel- oped a bridging-scale method in which the molecular displace- ments are decomposed into fine and coarse scales throughout the domain. To and Li 9 proposed to combine the bridging-scale method with the perfectly-matched-layer method to eliminate the spurious reflections by matching the impedance at the atomistic/ continuum interface. A heterogeneous multiscale method has been developed by E and Huang 10,11 and Li and E 12. It is based on the concept that both the atomistic and the continuum models are formulated in the form of conservation laws of mass, momen- tum, and energy. More details can be found in a review article 13. In the bridging-domain method, the continuum and molecu- lar domains are overlapped in a bridging subdomain where the Hamiltonian is taken to be a linear combination of the continuum and molecular Hamiltonian 14,15. The compatibility in the bridging domain is enforced by Lagrange multipliers or by the augmented Lagrangian method. The quasicontinuum QC method 16 has been used to study a variety of fundamental aspects of deformation in crystalline solids. In the QC method, a crystalline solid is discretized into a set of nodes. There are a group of atoms embedded within each node. The governing equations of classical continuum mechanics are then solved at the continuum level to obtain the deformation gradient of each node. Based on the defor- mation gradient, the positions of atoms within the nodes are de- termined by Cauchy–Born rule. Generally speaking, in all those abovementioned coupled meth- ods, the idea is to use a fully atomistic description in one region of the material and a continuum description in other regions. The detailed treatment of the material in the “transition region” or boundary between the atomistic and continuum regions is a criti- cal aspect of such approach. Curtin and Miller 17 gave a review of these methods and noted that a unified and formal theory of the transition region that allows quantifiable error bounds to be estab- lished does not yet exist. It is worthwhile to note that the well-established microcon- tinuum field theory developed by Eringen and Suhubi 18, which can be considered as the most successful top-down microscale model. The fundamental difference between the microcontinuum field theory and the classical continuum mechanics is that the former are continuum models embedded with microstructure for the purpose of capturing the microscopic motion and deformation. Micromorphic theory treats a material as a continuous collection of deformable particles, each particle possessing a finite size and inner structure 19,20. Chen et al. 21 examined the physical foundation of those microcontiuum theories from the viewpoint of phonon dispersion relations. Irving and Kirkwood 22 and Hardy 23 established the link between atomistic models to classical Contributed by the Applied Mechanics of ASME for publication in the JOURNAL OF APPLIED MECHANICS. Manuscript received July 30, 2009; final manuscript received February 4, 2010; accepted manuscript posted September 9, 2010; published online November 10, 2010. Assoc. Editor: Pradeep Sharma. Journal of Applied Mechanics MARCH 2011, Vol. 78 / 021012-1 Copyright © 2011 by Am. Assoc. Phys. Med. Downloaded 10 Nov 2010 to 128.164.158.51. Redistribution subject to ASME license or copyright; see http://www.asme.org/terms/Terms_Use.cfm

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Page 1: Modeling and Simulation of Wave Propagation Based on

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Xianqiao Wang

James D. Lee

Department of Mechanical and AerospaceEngineering,

George Washington University,Washington, DC 20052

Qian DengDepartment of Mechanical and Aerospace

Engineering,University of Florida,

Gainesville, FL 32611

Modeling and Simulation of WavePropagation Based on AtomisticField TheoryMotivated by the need for a more efficient simulation of material behavior at both largerlength scale and longer time scale than direct molecular dynamics simulation, an atom-istic field theory (AFT) for modeling and simulation of multiphase material systems hasbeen developed. Atomistic formulation of the multiscale field theory and its correspond-ing finite element implementation are briefly introduced. By virtue of finite element analy-sis of classical continuum mechanics, we show the existing phenomena of spurious wavereflections at the interfaces between regions with different mesh sizes. AFT is employed toinvestigate the wave propagation in magnesium oxide from the atomistic region to thecontinuum region without any special numerical treatment. Unlike some other atomistic/continuum computational methods, AFT has demonstrated the capability to display bothacoustic and optic types of wave motion. Numerical results show that AFT has thecapability to significantly reduce the wave reflections at the interface. This work providesa more fundamental understanding of wave reflections at the atomistic/continuuminterface. �DOI: 10.1115/1.4002530�

Keywords: atomistic field theory, wave propagation, finite element formulation, opticwave, multiphase material system

IntroductionWith the increase in the application of new experimental tools

nd new material synthesis techniques to nano/microsystems,ultiscale material modeling has emerged as a significant ap-

roach in computational materials research. To date, however,rogress has been very slow. Despite widespread interest and ef-orts, major challenges exist for the simulation of nano/microscaleystems over a realistic range of time, length, temperature as wells in multiple physical conditions and environments. The mostormidable challenge that arises in such concurrent multiscaleodeling is interfacing molecular dynamics with continuum me-

hanics �1�. Fundamentally, this is because continuum mechanicsoes not represent the dynamics of atomistic systems.

The past few decades have seen the explosive growth of interestn theory and modeling of nanoscale, microscale, and multiscale

aterial behavior. To begin with, the handshaking method �2–6� ispioneering work, which incorporates the coupling of a tight-

inding quantum mechanics approximation, molecular dynamicsMD�, and finite element �FE� continuum model. In this method,here is a “handshake” domain where the MD model and the con-inuum model coexist with averaged Hamiltonian. One of un-olved problems with this method, which combines several theo-etical descriptions, is phonon scattering and wave reflection at thertificially created interfaces between atomic models and con-inuum models. Cai et al. �7� introduced a condensation approacho minimize boundary wave reflection. Wagner and Liu �8� devel-ped a bridging-scale method in which the molecular displace-ents are decomposed into fine and coarse scales throughout the

omain. To and Li �9� proposed to combine the bridging-scaleethod with the perfectly-matched-layer method to eliminate the

purious reflections by matching the impedance at the atomistic/ontinuum interface. A heterogeneous multiscale method has beeneveloped by E and Huang �10,11� and Li and E �12�. It is based

Contributed by the Applied Mechanics of ASME for publication in the JOURNAL OF

PPLIED MECHANICS. Manuscript received July 30, 2009; final manuscript receivedebruary 4, 2010; accepted manuscript posted September 9, 2010; published online

ovember 10, 2010. Assoc. Editor: Pradeep Sharma.

ournal of Applied Mechanics Copyright © 2011 by Am

ded 10 Nov 2010 to 128.164.158.51. Redistribution subject to ASM

on the concept that both the atomistic and the continuum modelsare formulated in the form of conservation laws of mass, momen-tum, and energy. More details can be found in a review article�13�. In the bridging-domain method, the continuum and molecu-lar domains are overlapped in a bridging subdomain where theHamiltonian is taken to be a linear combination of the continuumand molecular Hamiltonian �14,15�. The compatibility in thebridging domain is enforced by Lagrange multipliers or by theaugmented Lagrangian method. The quasicontinuum �QC� method�16� has been used to study a variety of fundamental aspects ofdeformation in crystalline solids. In the QC method, a crystallinesolid is discretized into a set of nodes. There are a group of atomsembedded within each node. The governing equations of classicalcontinuum mechanics are then solved at the continuum level toobtain the deformation gradient of each node. Based on the defor-mation gradient, the positions of atoms within the nodes are de-termined by Cauchy–Born rule.

Generally speaking, in all those abovementioned coupled meth-ods, the idea is to use a fully atomistic description in one region ofthe material and a continuum description in other regions. Thedetailed treatment of the material in the “transition region” orboundary between the atomistic and continuum regions is a criti-cal aspect of such approach. Curtin and Miller �17� gave a reviewof these methods and noted that a unified and formal theory of thetransition region that allows quantifiable error bounds to be estab-lished does not yet exist.

It is worthwhile to note that the well-established microcon-tinuum field theory developed by Eringen and Suhubi �18�, whichcan be considered as the most successful top-down microscalemodel. The fundamental difference between the microcontinuumfield theory and the classical continuum mechanics is that theformer are continuum models embedded with microstructure forthe purpose of capturing the microscopic motion and deformation.Micromorphic theory treats a material as a continuous collectionof deformable particles, each particle possessing a finite size andinner structure �19,20�. Chen et al. �21� examined the physicalfoundation of those microcontiuum theories from the viewpoint ofphonon dispersion relations. Irving and Kirkwood �22� and Hardy

�23� established the link between atomistic models to classical

MARCH 2011, Vol. 78 / 021012-1. Assoc. Phys. Med.

E license or copyright; see http://www.asme.org/terms/Terms_Use.cfm

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ontinuum description based on statistical mechanics. Followinghe same approach, Chen and Lee �24,25� provided a connectionetween molecular dynamics and micromorphic theory.

In a series of theoretical papers, AFT has been constructed byhen and Lee �26,27�, Chen et al. �28–30�, and Lee et al. �31� foroncurrent atomistic/continuum modeling of materials/systems.ontinuous local densities of fundamental physical quantities intomistic systems are derived. By decomposing atomic motion/eformation into homogeneous lattice motion/deformation and in-omogeneous internal atomic motion/deformation and also de-omposing momentum flux and heat flux into homogeneous andnhomogeneous parts, field description of conservation laws attomic scale has been formulated. As a result of the formulation, aeld representation of atomic many-body dynamics is obtainednd time-interval averaged quantities can be solved. Since theonservation equations obtained are valid at atomic scale, the fieldheory can reproduce time-interval averaged atomic trajectoriesnd can be used to investigate phenomena and properties thatriginated at atomic scale.

The outline of this paper is as follows: In Sec. 2, we brieflyntroduce this atomistic field theory. Although AFT is based ontomic many-body dynamics, we end up with a continuum fieldheory. Therefore, in Sec. 3, we do a finite element formulation forFT. In the Sec. 4, we present the numerical results of waveropagation to demonstrate the characteristics and the advantagesf AFT and its numerical algorithm. We conclude this paper withbrief summary and discussion in Sec. 5.

Atomistic Field TheoryNote that a crystalline material is distinguished from other

tates of matter by a periodic arrangement of the atoms. Followinghe concepts of classical statistical mechanical approach or thexisting formulations that describe the link between phase spaceunctions and physical space functions �23�, AFT views a crystal-ine material as a continuous collection of lattice cells while situ-ted within each lattice cell is a group of discrete atoms. From thisiewpoint, a more general link between any phase space function�r ,p� and the corresponding local density function a�x ,y� , t�as developed by Chen �32� as

a�x,y�,t� = �k=1

Nl

��=1

Na

A�r,p���Rk − x����rk� − y�� �k

= 1,2,3, . . . ,Nl, � = 1,2,3, . . . ,Na� �1�ith

r � �Rk� = Rk + �rk��k = 1,2,3, . . . ,Nl, � = 1,2,3, . . . ,Na

p � �m�Vk� = m��Vk + �vk���k = 1,2,3, . . . ,Nl, �

= 1,2,3, . . . ,Na

V

��Rk − x�dx = 1 �2�

���rk� − y�� =V�y��

���rk� − y�dy

= �1 if � = � and �rk� = y�

0 otherwise� �3�

ere, the superscript k� refers to the �th atom in the kth unit cell;k is the position of the mass center of the kth unit cell, �rk� is

he atomic position of the �th atom relative to the mass center ofhe kth unit cell, Nl is the total number of unit cells in the system,nd Na is the number of atoms in a unit cell.

The first delta function in Eq. �1� is a localization function. It

an be a Dirac �-function �22� or a distribution function �23�. The

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field descriptions of the conservation equations and the constitu-tive relations have been proved to be independent of the choicesof the localization function �26,27�. The second delta function inEq. �1� is the Kronecker delta, which identifies y� to �rk�.

The time evolution of physical quantities in this multiscale fieldtheory can be expressed as

�a�x,y�,t��t

x,y�

= �k=1

Nl

��=1

Na

A• �r,p���Rk − x����rk� − y��

− �x · �k=1

Nl

��=1

Na

Vk� A�r,p���Rk − x����rk�

− y�� − �y� · �k=1

Nl

��=1

Na

�vk�� A�r,p���Rk

− x����rk� − y�� �4�

When a�x ,y� , t� is the local density of a conserved quantity, thenEq. �4� represents the corresponding balance law.

Most current MD applications involve systems either in equi-librium or in some time-independent stationary state where indi-vidual results are subjected to fluctuation. Thus, it is the well-defined averages over sufficiently long time intervals that are ofinterest. To smooth out the results and to obtain results close toexperiments, measurements of physical quantities are necessary tobe collected and averaged over finite time duration. Therefore, thetime-interval averaged quantities are required to derive the fielddescription of atomic quantities and conservation of balance equa-tions. Here, the time-interval averaged local density function takesthe form

a�x,y�,t� = �A�� �1

�t0

�t

�k=1

Nl

��=1

Na

A�r�t + ��,p�t + �����Rk

− x����rk� − y��d� �5�

By means of Eq. �5�, the time-interval averaged local densityquantities, such as mass density ��, linear momentum density

���v+�v��, interatomic force density f�, external force density��, the homogeneous part t� and inhomogeneous part �� of stresstensor, internal energy density ��e�, the homogeneous part q� and

inhomogeneous part j� of heat flux, heat source h�, and tempera-ture T�, are defined as

�� ���k=1

Nl

��=1

Na

m���Rk − x����rk� − y��� �6�

���v + �v�� � ��k=1

Nl

��=1

Na

m��Vk + �vk����Rk − x����rk� − y����7�

f� ���k=1

Nl

��=1

Na

�− �U/�Rk����Rk − x����rk� − y���=��

k=1

Nl

��=1

Na

Fk���Rk − x����rk� − y��� �8�

�� ���Nl

�Na

Fextk� ��Rk − x����rk� − y��� �9�

k=1 �=1

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t� = tkin� + tpot

� � −��k=1

Nl

��=1

Na

m�Vk� Vk���Rk − x����rk� − y���

−� 1

2 �k,l=1

Nl

��,�=1

Na

�Rk − Rl� � Fk�B�k,�,l,�,x,y��� �10�

�� = �kin� + �pot

� � −��k=1

Nl

��=1

Na

m��vk�� Vk���Rk − x����rk�

− y��� −� 1

2 �k,l=1

Nl

��,�=1

Na

��rk� − �rl�� � Fk�B�k,�,l,�,x,y����11�

��e� ���k=1

Nl

��=1

Na �1

2m��Vk��2 + Uk����Rk − x����rk� − y���

�12�

q� = qkin� + qpot

� � −��k=1

Nl

��=1

Na

Vk�1

2m��Vk��2 + Uk����Rk

− x����rk� − y��� −� 1

2 �k,l=1

Nl

��,�=1

Na

�Rk

− Rl�Vk� · Fk�B�k,�,l,�,x,y��� �13�

j� = jkin� + jpot

� � −��k=1

Nl

��=1

Na

�vk��1

2m��Vk��2 + Uk����Rk

− x����rk� − y��� −� 1

2 �k,l=1

Nl

��,�=1

Na

��rk�

− �rl��Vk� · Fk�B�k,�,l,�,x,y��� �14�

h� ���k=1

Nl

��=1

Na

Vk� · Fextk� ��Rk − x����rk� − y��� �15�

T� �� �V

3kB�k=1

Nl

��=1

Na

m��Vk��2��Rk − x����rk� − y��� �16�

here Vk�=Vk�− �v+�v�� is the difference between phase spaceelocity and local physical space velocity, Uk� is the potentialnergy of k�th atom, U=�k=1

Nl ��=1Na Uk� is the total potential energy,

B is the Boltzmann constant, �V is the volume of unit cell, and�k ,� , l ,� ,x ,y�� is defined as

B�k,�,l,�,x,y�� � 0

1

��Rk� + Rl�1 − �� − x����rk�� + �rl��1

− �� − y��d� �17�Following Eq. �4�, as exact consequences of Newton’s second

aws, we have the time evolution of conserved quantities, Eqs. �6�,7�, and �12�, as �more details in Ref. �26��

d��

+ ���x · v + ���y� · �v� = 0 �18�

dt

ournal of Applied Mechanics

ded 10 Nov 2010 to 128.164.158.51. Redistribution subject to ASM

�� d

dt�v + �v�� = �x · tkin

� + �y� · �kin� + f� + �� �19�

��de�

dt+ �x · �− q�� + �y� · �− j�� = t�:�x�v + �v�� + ��:�y��v

+ �v�� + h� �20�

It is worthwhile to note that, with the atomistic definitions ofinteratomic force and the potential parts of the atomic stresses,one has �26�

�x · tpot� + �y� · �pot

� = f� �21�

Similarly, we have the relationships between temperature andkinetic stresses �29�

tij�kin�� = −

��kBT�ij

�V, �ij�kin�

� = −�1 − ���kBT�ij

�V�22�

where ��=m� /m and m=��=1Na m�.

Substituting Eq. �22� into Eq. �19�, we have

��du��x,t�dt

= −�kB � T�x,t�

�V+ f��x,t� + ���x,t� �23�

where u��x , t�=v+�v�.In the case of “one-way coupling” with temperature and elec-

tromagnetic fields, the temperature and electromagnetic fields aregiven as functions of space and time. Then the relevant governingequations are just the balance law for linear momentum, i.e.,

��u��x,t� = ftemp� �x,t� + f��x,t� + ���x,t� �24�

where ftemp� �x , t� is the force density due to temperature.

3 Finite Element FormulationConsider the specimen as a multiphase material system, which

consists of several different kinds of single crystals. There are Ngnonoverlapping distinct single crystals; each may be referred to asa grain. For Kth single crystal, each unit cell has Na�K� atoms.

For material systems that involve pair atomic interactions, theaverage internal force density can be expressed as

f��x,t;K� = �L=1

Ng L�x�,t�

1

�V�x�,L�

� ��=1

Na�L�

f���u��x,t;K�,u��x�,t;L��dL�x�,t� �25�

Using the following notations:

u��K� = u��x,t;K�, u��x�;L� = u��x�,t;L�

K

AdK =K�x,t�

A�x,t;K�dK�x,t�

L�x��

A�x��dL�x�� =L�x�,t�

A�x�,t;L�dL�x�,t� �26�

now the weak form, based on Eq. �24�, can be shown as

�K=1

Ng K

��=1

Na�K�

���u��K� − f� − �� − ftemp� · �u��K�dK = 0 �27�

Through the shape functions

u��x� = ��x�U�, �u��x� = ��x��U� �28�

� �

MARCH 2011, Vol. 78 / 021012-3

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here ��x� is the shape function and U�� is the displacement of

th atom within the �th node of the element in which x resides.Then the weak form, Eq. �27�, can be rewritten as

�K=1

Ng

��=1

Na�K� K

���u��K� · �u��K�

− �L=1

Ng

��=1

N�L� L�x��

1

�V�x�,L�f���u��K�,u��x�;L��

· �u��K�dL�x�� − ftemp� · �u��K� − �� · �u��K��dK = 0

�29�r

�K=1

Ng K

�� � �U��dK − �

K=1

Ng K

��L=1

Ng

��=1

Na�L� L�x��

�1

�V�x�,L�f���u��K�,u��x�;L��dL�x��dK

− �K=1

Ng K

�ftemp� + ��� �dK = 0 �30�

hen, we have

MU = F + Ftemp + Fext �31�here

Fig. 1 Crystal structural of MgO

Fig. 2 Schematic drawing of three

men: „a… C-C, „b… A-A, and „c… A-C

21012-4 / Vol. 78, MARCH 2011

ded 10 Nov 2010 to 128.164.158.51. Redistribution subject to ASM

M��� = �

K=1

Ng K

�� � �dK �32�

F�� = �

K=1

Ng K

��L=1

Ng

��=1

Na�L� L�x��

�1

�V�x�,L�f���u��K�,u��x�;L��dL�x��dK �33�

F��temp�� + F���ext

� = �K=1

Ng K

�ftemp� + ��� �dK �34�

By means of numerical integrations such as Gauss integrationor nodal integration, Eqs. �32�–�34� can be evaluated. It is noticedthat the mass matrix obtained from Gauss integration is symmetricbut not diagonal. Compared with Gauss integration scheme, nodalintegration scheme has a diagonal mass matrix, thereby leading toa less complex and more efficient procedure. In this paper, nodalintegration scheme is implemented and the central differencemethod is utilized to solve the governing Eq. �31�.

4 Numerical ExamplesIn this paper, for the ionic MgO crystal �Fig. 1�, the internal

potential employed is the combination of the long range electro-static Coulomb potential and the short range Buckingham poten-tial with the material parameter from literature �33�. Atomic unitsare used through the whole paper.

4.1 Verification. A small MgO specimen �2a�2a�120a ,a=7.9368 bohrs� is constructed as three different models illus-trated in Fig. 2. The first one has 2�2�120 eight-node elements,labeled as C-C in which the size of each element is equal to that ofunit cell; the second one is completely occupied by 8712 atoms,labeled as A-A; the third one is modeled by 2�2�60 elementsand 4356 atoms, labeled as A-C. The system is assumed to be atrest after a period of relaxation time. Since elastic distortion givesrise to wave propagation of both acoustic and optic types in anymulti-atoms lattices, we define the central displacement u and therelative displacement u of a unit cell as the measures of acousticand optic motions, respectively, �see Fig. 1�

u � ��=1

8m�

mu� �35�

u � �u3 + u4 + u7 + u8-u1-u2-u5-u6/8 �36�Here, we give two types of boundary conditions:

erent models of a small MgO speci-

diff

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�1� acoustic

uz��x,y,120a,t� = 0 �37�

uz��x,y,0,t� = �0.5 sin��t/40,000� if t � 40,000�o

0 if t � 40,000�o�

ig. 3 Central displacement versus time for three models: „a…-C, „b… A-A, and „c… A-C

�38�

ournal of Applied Mechanics

ded 10 Nov 2010 to 128.164.158.51. Redistribution subject to ASM

�2� optic

uz��x,y,120a,t� = 0 �39�

uz��x,y,0,t� = ��0.25 sin�4�t/40,000� if t � 40,000�o

0 if t � 40,000�o�

�40�

where “+” is for �=3,4 ,7 ,8; “�” is for �=1,2 ,5 ,6.

Before the simulation of the three different models, we expectthat the results should be exactly the same. Indeed, the three plotsin Fig. 3 are exactly the same, indicating that the continuummodel is actually a limiting case equivalent to an atomic model.When the finest mesh is used, AFT becomes identical to MDsimulation. In these figures, the blue line represents the inputwave, others represent wave motions with time at three differentpoints L2�a ,a ,30a�, L3�a ,a ,60a�, and L4�a ,a ,90a�. It is ob-served in Fig. 3�c� that there is no wave reflection happening atthe interface between the atomic region and the continuum region.Unlike many other existing concurrent atomic/continuum theories,at the interface, we never use any special treatment, such as hand-shaking, bridging, transition regions, because we consider full in-teraction among atoms in both continuum and atomic regions. It isclearly seen that wave arrives at points L2, L3, and L4 at different

Fig. 4 Wave propagation in C-C model with optic input: „a…relative displacement versus time of L2 and „b…central displace-ment versus time of L2

times as expected. It is also seen that wave reflected with opposite

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ign when it hit the boundary at �a ,a ,120a�.For the case of optic wave input, Eqs. �39� and �40�, the relative

isplacement and central displacements at point L2 are plotted asunctions of time in Figs. 4�a� and 4�b�, respectively. It is seen thathe magnitude of acoustic wave is much larger than that of opticave. It is emphasized that the ability to display an optic mode

nd the propagation of optic wave are the characteristics of AFT.

4.2 Wave Propagation Through Interfaces. Before we talkbout the wave propagation, including reflection, at the interfacessing AFT, let us take a look at wave propagation through non-niform FE mesh using classical continuum mechanics. A speci-en �2l�2l�120l , l=0.8 m� is modeled with two different FE

Fig. 5 Schematic drawing of two dspecimen: „a… model I and „b… model

ig. 6 Wave propagation for model I: „a… low frequency �

250� and „b… high frequency �=2000�

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meshes. The first one �model I� is a uniform mesh consisting of2�2�120 elements, illustrated in Fig. 5�a� and the second one�model II� has one interface at z=90l as illustrated in Fig. 5�b�.The boundary conditions are specified as

uz��x,y,120l,t� = 0 �41�

uz��x,y,0,t� = �0.5 sin��t/T� t � T

0 t � T� �42�

Figure 6 shows the responses for point L1�l , l ,0�, pointL2�l , l ,60l�, and point L3�l , l ,90l� in model I under two differentinput waves with: �1� low frequency �=250� and �2� high fre-quency �=2000�. It is clearly seen that the wave passes through

rent finite mesh models of a MgO

Fig. 7 Wave propagation with the input wave frequency �

iffe

=1000�: „a… model I and „b… model II

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he whole specimen when �=250�. But for the case of high fre-uency, �=2000�, practically speaking, no wave can passhrough. Figure 7 shows the responses of model I and model IInder �=1000�. In Fig. 7�a�, it is seen that the magnitude ofoint L3 is almost equal to that of the input wave but from Fig.�b�, the magnitude of point L3 is much smaller than that of thenput wave, indicating that the interface between meshes withifferent sizes acts like a screen, which prevents at least part of theave from passing through. Actually, this is a well-known phe-omenon that wave reflection happens when nonuniform mesh issed in the classical FE analysis. In short, an assemblage witharger elements gives a smaller cutoff frequency in FE analysis.herefore, for a wave with a frequency greater than the cutoff

requency of a FE model, the interface will reduce the magnitudef the passing through wave �15,34�.

To illustrate the problem of wave propagation and reflectionsing AFT, an A-A model and A-C model �2a�2a�150a , a7.9368 bohrs� for wave propagation in MgO are schematically

llustrated in Fig. 8�a�; the A-A model consists of 10,872 atomsnd the A-C model consists of 2,232 atoms and 120 3D eight-nodenite elements. Figures 8�b� and 8�c� show the boundary condi-

ions and the loading history, respectively.Figure 9 shows the numerical procedures to calculate the inter-

tomic force between any two atoms in AFT. The key lies in the

Fig. 8 Computational model of MgO

Fig. 9 Schematic picture of A

ay that these forces are dealt with in continuum region. We

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assume that a unit cell is situated at each node in the continuumregion. The force between any two atoms in the atomic region istreated exactly the same way as in MD simulation. In the con-tinuum region, the force between any two atoms in different orsame finite element should be distributed to all the nodes of the

cimen under a compression loading

model with force distribution

spe

Fig. 10 Central displacement versus time for MD model

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nvolved elements in which the two atoms are located. It is be-ause, in finite element method, the information of the displace-ent field and other field variables as well are stored at the nodes.his can be done as follows. As shown in Fig. 9, there is a pair of

nteratomic forces

�fk�l�

,fl�k� �

cting on k� and l� atoms located at �x ,x�, respectively. The

irtual work done by the force fk�l�

is

Fig. 11 Central displacement versus time for AFT model

Fig. 12 Contour plots o

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�W = fk�l�

· �u��x� = fk�l�

· ��x��U�� � F�

��U�� �43�

which means the nodal force acting on the �th atom in the corre-sponding �th node is

F�� = f

k�l�

��x� �44�

And it is noticed that ��x� is corresponding to kK , kL , kM , kN as an example shown in Fig. 9.

Figures 10 and 11 show the responses for point L1�a ,a ,0�,point L2�a ,a ,20a�, and point L3�a ,a ,70a� in A-A model and inA-C model under the compressive impulsive loading, respec-tively. It is clearly seen that the wave passes through the wholespecimen and reflects from the boundary at z=150a in both mod-els. From the comparison between Figs. 10 and 11, it is noticedthat the responses in both A-A model and A-C model are almostthe same; in other words, the wave in A-C model passes throughthe atomistic/continuum interface with negligible reflection. Fig-ure 12 shows the contour plots of the z-displacement of the wavepropagation. Please pay attention to that the red color indicatespositive z-displacement and the blue color indicates negativez-displacement because the reflected wave has sign changed. It isobserved that due to the compressive impulsive loading, waveoriginated from one end of the specimen, propagated through thespecimen, and then reflected at the other end of the specimen asexpected.

5 Summary and DiscussionsWe have briefly presented an atomistic field theory and its cor-

responding finite element implementation for multiphase materialsystems. Numerical simulations of single crystal MgO are per-

f wave propagation

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ormed to demonstrate the capability and robustness of AFT. Theajor findings of this work are summarized as follows:

�1� Although this theory is a continuum theory, from the gov-erning equation, it is noticed that the atomistic informationhas been naturally built in.

�2� Elastic distortion gives rise to wave propagation of bothacoustic and optic types in any multi-atoms lattices. It isseen that this theory has the capability to include bothacoustic and optic waves.

�3� This theory can be naturally reduced to MD simulationwhen the size of FE mesh is equal to that of unit cell.

�4� The phenomena of wave reflection at the interface havebeen observed in classical FE analysis. In this work, AFThas been proved to be effective in reducing artificial inter-facial reflections in dynamical simulations without any spe-cial numerical treatment.

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