粘弹性功能梯度有限元法使用对应原理
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有限元方法的基本原理
有限元方法是一种数值分析方法,用于求解复杂结构的力学问题。
其基本原理如下:
1. 将结构离散化:首先将结构分割成许多小的单元(有限元),每个单元可视作一个简单的结构部件。
这样可以将原始连续结构的复杂问题简化为每个小单元的简单问题。
2. 定义弯曲关系:对每个单元建立力学模型,包括定义材料的弹性模量、泊松比、截面积等力学性质参数。
3. 建立单元的位移方程:利用有限元方法,采用适当的形函数,建立每个单元的位移方程,一般为不定位移分析。
4. 组装全局方程:将所有单元的位移方程组装成整个结构的全局方程。
5. 求解方程组:通过数值方法(如高斯消元法、迭代法等),求解结构的位移和应力等力学量。
6. 分析结果:根据结构的位移和应力等力学量,可对结构的强度、刚度、振动等进行分析和评价。
有限元方法的基本原理是将复杂结构的力学问题通过离散化处理,化为易于计算的小单元问题,再通过数值方法求解整个结构的力学行为。
第七章、粘弹性7.1 基本概念弹性:外力 外力撤除 粘弹性 弹性+粘性 →形变 →应力 →储存能量→能量释放 →形变恢复 粘性:外力 外力撤除 →形变 →应力 →应力松弛 →永久形变→能量耗散理想弹性:服从虎克定律σ=E·ε应力与应变成正比,即应力只取决于应变。
εtσ/Et t 0dt d εησ⋅=εtσ/ηt 0 理想粘性:服从牛顿流体定律 应力与应变速率成正比,即应力只取决于应变速率 dt d εησ⋅=牛顿流体定律的比例常数为粘度ηdtd εησ⋅=dtdx y y x dt d dt d ⋅==1)(εyx应变速率为速度梯度∴粘度η等于单位速度梯度时的剪切应力,反映了分子间由于相互作用而产生的流动阻力,即内摩擦力的大小,单位为Pa·S弹性(1)储能:能量储为应变能(2)可逆:记忆形状,(3)瞬时:不依赖时间E=E(σ, ε, T)虎克固体(1)耗能:能量耗为热能(2)不可逆:无形状记忆(3)依时:应变随时间发展E=E(σ, ε ,T, t)牛顿流体粘性熵弹性聚合物是典型的粘弹体聚合物是典型的粘弹体粘性:分子链滑移,应力松弛拉伸应力松弛聚合物的应力松弛:t7.2 静态粘弹性受恒定应力或应变的作用E=E(σ, ε ,T, t)7.2.1 静态粘弹性现象(1)蠕变:在一定的温度和恒定应力的作用下,观察试样的应变随时间增加而增大的现象。
理想弹性体:σ=E·εεtσ/E应力恒定,故应变恒定εtσ/η理想粘性体 dtd εησ⋅=应力恒定,故应变速率为常数,应变以恒定速率增加聚合物:粘弹体①理想弹性,即瞬时响应: 由键长、键角提供②推迟弹性形变,即滞弹部分:③粘性流动:链段运动整链滑移 εt①③ ②εt εt线形聚合物 交联聚合物(2)应力松弛:在一定的温度和恒定应变的作用下,观察试样的应力随时间增加而衰减的现象。
σtE·ε理想弹性体:σ=E·ε 应变恒定,故应力恒定σt理想粘性体 dtd εησ⋅=应变恒定,应变速率为0,故应力为0聚合物:粘弹体σ tσ0交联聚合物线形聚合物由于交联聚合物分子链的质心不能位移,应力只能松驰到平衡值7.2.2. 线性粘弹性模型线性粘弹性:可由服从虎克定律的线性弹性行为和服从牛顿定律的线性粘性行为的组合来描述的粘弹性。
粘弹性方程及其解法粘弹性是指材料在受力下的弹性和黏性的相互作用,其特点是在长时间内承受应力后,材料会有一定程度的形变,而该形变又会影响材料的应力状态,从而影响材料的力学性能。
在实际工程中,许多材料都呈现出明显的粘弹性特征,例如聚合物、胶体、生物体组织等。
因此,研究和解决粘弹性问题具有极其重要的意义。
一、粘弹性方程在传统的弹性理论中,我们使用的是胡克定律,即应力与应变呈线性关系,这种理论适用于短时间内的应力状态变化。
然而在长时间内,材料的弹性常数和形变率都会随时间发生改变,此时我们需要考虑材料的黏性特性。
这就引出了粘弹性方程。
粘弹性方程是一类包含时间导数的偏微分方程,可以用来描述物质的粘弹性行为。
常见的粘弹性方程包括Maxwell模型、Kelvin模型和Jeffreys 模型等。
其中最简单且应用最广泛的是Maxwell模型。
Maxwell模型可以看作是由一根弹性杆和一个粘性阻尼器串联而成的模型。
该模型中,杆的应变和阻尼器的速度同时影响材料的力学性能。
该模型的表达式可以写成以下形式:$$\sigma (t) = E \epsilon (t) + \mu \frac{d\epsilon(t)}{dt}$$其中$\sigma$表示应力,$\epsilon$表示应变,$E$表示弹性模量,$\mu$表示粘性系数。
二、解粘弹性方程对于粘弹性方程的求解,主要有两种方法:解析法和数值法。
解析法是指通过解偏微分方程得到解析解的方法。
对于Maxwell模型,我们可以通过拉普拉斯变换将其转化为一个简单的代数方程,从而得到其完整的解析解。
然而,在实际问题中,由于方程的复杂性和求解方法的限制,大多数情况下我们无法使用解析法来求解粘弹性方程。
数值法是指通过离散化原方程,将其转化为一个有限的代数方程组,并使用数值方法对其进行求解的方法。
常见的数值方法包括有限差分法、有限元法和谱方法等。
其中有限差分法是最为直接、易实现和最常用的方法之一。
有限元计算原理与方法有限元法(Finite Element Method,简称FEM)是一种通过将复杂的物理系统离散成有限的简单子域,并在每个子域上建立适当的解析函数,最终通过数值解法计算系统性质的方法。
它是目前工程界最常用的一种数值分析方法,适用于各种不同领域的问题求解。
有限元法的核心思想是将连续问题转化为离散问题,将复杂的物理系统划分成有限数量的简单几何单元,称为有限元。
每个有限元内只需要考虑有限自由度的变量,然后通过建立方程组,求解出系统的响应。
有限元法的优点是适用于各种复杂的几何形状和边界条件,并且可以处理非线性、动力学和多物理场等问题。
有限元法的基本步骤包括以下几个方面:1.几何建模:根据实际问题,将物体的几何形状抽象为有限的简单几何单元,如线段、三角形、四边形单元等。
2.离散化:将物体划分成有限元,并建立有限元网格。
有限元网格的划分应该足够细致,以保证对模型进行准确的描述。
3.单元及节点自由度的确定:确定每个有限元的节点,以及每个节点对应的自由度,自由度包括位移、应力、温度等。
4.建立元素刚度矩阵和载荷向量:根据单元的几何关系和物理性质,建立单元刚度矩阵和载荷向量。
单元刚度矩阵描述了单元内各个节点之间的相互作用关系,载荷向量描述了单元受到的外部力和边界条件。
5.组装:将各个单元的刚度矩阵和载荷向量组装成整个系统的刚度矩阵和载荷向量。
6.施加边界条件:根据实际问题,将边界条件施加到系统方程中,通常为位移或载荷。
7.解方程:根据边界条件和施加的载荷,求解系统方程,得到节点的位移和应力等解。
8.后处理:根据求解的结果,计算出物体的各种性质,并对结果进行分析和可视化显示。
有限元法具有广泛的应用,例如结构力学、流体力学、电磁场等领域。
它的研究包括有限元离散化方法、有限元解法和计算误差分析等。
随着计算机技术的发展和计算能力的提高,有限元法在科学研究和工程实践中的应用将会更加广泛和深入。
Viscoelastic Functionally Graded Finite-Element MethodUsing Correspondence PrincipleEshan V.Dave,S.M.ASCE1;Glaucio H.Paulino,Ph.D.,M.ASCE2;andWilliam G.Buttlar,Ph.D.,P.E.,A.M.ASCE3Abstract:Capability to effectively discretize a problem domain makes thefinite-element method an attractive simulation technique for modeling complicated boundary value problems such as asphalt concrete pavements with material non-homogeneities.Specialized “graded elements”have been shown to provide an efficient and accurate tool for the simulation of functionally graded materials.Most of the previous research on numerical simulation of functionally graded materials has been limited to elastic material behavior.Thus,the current work focuses onfinite-element analysis of functionally graded viscoelastic materials.The analysis is performed using the elastic-viscoelastic correspondence principle,and viscoelastic material gradation is accounted for within the elements by means of the generalized iso-parametric formulation.This paper emphasizes viscoelastic behavior of asphalt concrete pavements and several examples, ranging from verification problems tofield scale applications,are presented to demonstrate the features of the present approach.DOI:10.1061/͑ASCE͒MT.1943-5533.0000006CE Database subject headings:Viscoelasticity;Asphalt pavements;Concrete pavements;Finite-element method.Author keywords:Viscoelasticity;Functionally graded materials;Asphalt pavements;Finite-element method;Correspondence principle.IntroductionFunctionally Graded Materials͑FGMs͒are characterized by spa-tially varied microstructures created by nonuniform distributionsof the reinforcement phase with different properties,sizes andshapes,as well as,by interchanging the role of reinforcement andmatrix materials in a continuous manner͑Suresh and Mortensen1998͒.They are usually engineered to produce property gradientsaimed at optimizing structural response under different types ofloading conditions͑thermal,mechanical,electrical,optical,etc.͒͑Cavalcante et al.2007͒.These property gradients are produced in several ways,for example by gradual variation of the content ofone phase͑ceramic͒relative to another͑metallic͒,as used in ther-mal barrier coatings,or by using a sufficiently large number ofconstituent phases with different properties͑Miyamoto et al.1999͒.Designer viscoelastic FGMs͑VFGMs͒can be tailored tomeet design requirements such as viscoelastic columns subjectedto axial and thermal loads͑Hilton2005͒.Recently,Muliana ͑2009͒presented a micromechanical model for thermoviscoelastic behavior of FGMs.Apart from engineered or tailored FGMs,several civil engi-neering materials naturally exhibit graded material properties. Silva et al.͑2006͒have studied and simulated bamboo,which is a naturally occurring graded material.Apart from natural occur-rence,a variety of materials and structures exhibit nonhomoge-neous material distribution and constitutive property gradations as an outcome of manufacturing or construction practices,aging, different amount of exposure to deteriorating agents,etc.Asphalt concrete pavements are one such example,whereby aging and temperature variation yield continuously graded nonhomogeneous constitutive properties.The aging and temperature induced prop-erty gradients have been well documented by several researchers in thefield of asphalt pavements͑Garrick1995;Mirza and Witc-zak1996;Apeagyei2006;Chiasson et al.2008͒.The current state-of-the-art in viscoelastic simulation of asphalt pavements is limited to either ignoring non-homogeneous property gradients ͑Kim and Buttlar2002;Saad et al.2006;Baek and Al-Qadi2006; Dave et al.2007͒or considering them through a layered ap-proach,for instance,the model used in the American Association of State Highway and Transportation Officials͑AASHTO͒Mechanistic Empirical Pavement Design Guide͑MEPDG͒͑ARA Inc.,EC.2002͒.Significant loss of accuracy from the use of the layered approach for elastic analysis of asphalt pavements has been demonstrated͑Buttlar et al.2006͒.Extensive research has been carried out to efficiently and ac-curately simulate functionally graded materials.For example, Cavalcante et al.͑2007͒,Zhang and Paulino͑2007͒,Arciniega and Reddy͑2007͒,and Song and Paulino͑2006͒have all reported onfinite-element simulations of FGMs.However,most of the previous research has been limited to elastic material behavior.A variety of civil engineering materials such as polymers,asphalt concrete,Portland cement concrete,etc.,exhibit significant rate and history effects.Accurate simulation of these types of materi-als necessitates the use of viscoelastic constitutive models.1Postdoctoral Research Associate,Dept.of Civil and EnvironmentalEngineering,Univ.of Illinois at Urbana-Champaign,Urbana,IL61801͑corresponding author͒.2Donald Biggar Willett Professor of Engineering,Dept.of Civil andEnvironmental Engineering,Univ.of Illinois at Urbana-Champaign,Ur-bana,IL61801.3Professor and Narbey Khachaturian Faculty Scholar,Dept.of Civiland Environmental Engineering,Univ.of Illinois at Urbana-Champaign,Urbana,IL61801.Note.This manuscript was submitted on April17,2009;approved onOctober15,2009;published online on February5,2010.Discussion pe-riod open until June1,2011;separate discussions must be submitted forindividual papers.This paper is part of the Journal of Materials in CivilEngineering,V ol.23,No.1,January1,2011.©ASCE,ISSN0899-1561/2011/1-39–48/$25.00.JOURNAL OF MATERIALS IN CIVIL ENGINEERING©ASCE/JANUARY2011/39The current work presents afinite element͑FE͒formulation tailored for analysis of viscoelastic FGMs and in particular,as-phalt concrete.Paulino and Jin͑2001͒have explored the elastic-viscoelastic correspondence principle͑CP͒in the context of FGMs.The CP-based formulation has been used in the current study in conjunction with the generalized iso-parametric formu-lation͑GIF͒by Kim and Paulino͑2002͒.This paper presents the details of thefinite-element formulation,verification,and an as-phalt pavement simulation example.Apart from simulation of as-phalt pavements,the present approach could also be used for analysis of other engineering systems that exhibit graded vis-coelastic behavior.Examples of such systems include metals and metal composites at high temperatures͑Billotte et al.2006;Koric and Thomas2008͒;polymeric and plastic based systems that un-dergo oxidative and/or ultraviolet hardening͑Hollaender et al. 1995;Hale et al.1997͒and gradedfiber reinforced cement and concrete structures.Other application areas for the graded vis-coelastic analysis include accurate simulation of the interfaces between viscoelastic materials such as the layer interface between different asphalt concrete lifts or simulations of viscoelastic glu-ing compounds used in the manufacture of layered composites ͑Diab and Wu2007͒.Functionally Graded Viscoelastic Finite-Element MethodThis section describes the formulation for the analysis of vis-coelastic functionally graded problems using FE framework and the elastic-viscoelastic CP.The initial portion of this section es-tablishes the basic viscoelastic constitutive relationships and the CP.The subsequent section provides the FE formulation using the GIF.Viscoelastic Constitutive RelationsThe basic stress-strain relationships for viscoelastic materials have been presented by,among other writers,Hilton͑1964͒and Christensen͑1982͒.The constitutive relationship for quasi-static, linear viscoelastic isotropic materials is given asij͑x,t͒=2͵tЈ=−ϱtЈ=t G͓x,͑t͒−͑tЈ͔͒ͫij͑x,tЈ͒−13␦ijkkͬdtЈ+͵tЈ=−ϱtЈ=t K͓x,͑t͒−͑tЈ͔͒␦ijkk dtЈ͑1͒whereij=stresses;ij=strains at any location x.The parameters G and K=shear and bulk relaxation moduli;␦ij=Kronecker delta; and tЈ=integration variable.Subscripts͑i,j,k,l=1,2,3͒follow Einstein’s summation convention.The reduced timeis related to real time t and temperature T through the time-temperature super-position principle͑t͒=͵0t a͓T͑tЈ͔͒dtЈ͑2͒For a nonhomogeneous viscoelastic body in quasi-static condi-tion,assume a boundary value problem with displacement u i on volume⍀u,traction P i on surface⍀and body force F i,the equilibrium and strain-displacement relationships͑for small de-formations͒are as shown in Eq.͑3͒ij,j+F i=0,ij=12͑u i,j+u j,i͒͑3͒respectively,where,u i=displacement and͑•͒,j=ץ͑•͒/ץx j.CP and Its Application to FGMsThe CP allows a viscoelastic solution to be readily obtained by simple substitution into an existing elastic solution,such as a beam in bending,etc.The concept of equivalency between trans-formed viscoelastic and elastic boundary value problems can be found in Read͑1950͒.This technique been extensively used by researchers to analyze variety of nonhomogeneous viscoelastic problems including,but not limited to,beam theory͑Hilton and Piechocki1962͒,finite-element analysis͑Hilton and Yi1993͒, and boundary element analysis͑Sladek et al.2006͒.The CP can be more clearly explained by means of an ex-ample.For a simple one-dimensional͑1D͒problem,the stress-strain relationship for viscoelastic material is given by convolution integral shown in Eq.͑4͒.͑t͒=͵0t E͑t−tЈ͒ץ͑tЈ͒ץtЈdtЈ͑4͒If one is interested in solving for the stress and material properties and imposed strain conditions are known,using the elastic-viscoelastic correspondence principle the convolution integral can be reduced to the following relationship using an integral trans-form such as the Laplace transform:˜͑s͒=sE˜͑s͒˜͑s͒͑5͒Notice that the above functional form is similar to that of the elastic problem,thus the analytical solution available for elastic problems can be directly applied to the viscoelastic problem.The transformed stress quantity,˜͑s͒is solved with known E˜͑s͒and ˜͑s͒.Inverse transformation of˜͑s͒provides the stress͑t͒.Mukherjee and Paulino͑2003͒have demonstrated limitations on the use of the correspondence principle in the context of func-tionally graded͑and nonhomogenous͒viscoelastic boundary value problems.Their work establishes the limitation on the func-tional form of the constitutive properties for successful and proper use of the CP.Using correspondence principle,one obtains the Laplace trans-form of the stress-strain relationship described in Eq.͑1͒as ˜ij͑x,s͒=2G˜͓x,˜͑s͔͒˜ij͑x,s͒+K˜͓x,˜͑s͔͒␦ij˜kk͑x,s͒͑6͒where s=transformation variable and the symbol tilde͑ϳ͒on top of the variables represents transformed variable.The Laplace transform of any function f͑t͒is given byL͓f͑t͔͒=f˜͑s͒=͵0ϱf͑t͒Exp͓−st͔dt͑7͒Equilibrium͓Eq.͑3͔͒for the boundary value problem in the trans-formed form becomes˜,j͑x,s͒=2G˜͑x,s͒˜,j d͑x,s͒+2G˜,j͑x,s͒˜d͑x,s͒+K˜͑x,s͒˜,j͑x,s͒+K˜,j͑x,s͒˜͑x,s͒͑8͒where superscript d indicates the deviatoric component of the quantities.Notice that the transformed equilibrium equation for a nonho-mogeneous viscoelastic problem has identical form as an elastic40/JOURNAL OF MATERIALS IN CIVIL ENGINEERING©ASCE/JANUARY2011nonhomogeneous boundary value problem.This forms the basis for using CP-based FEM for solving graded viscoelastic problems such as asphalt concrete pavements.The basic FE framework for solving elastic problems can be readily used through the use of CP,which makes it an attractive alternative when compared to more involved time integration schemes.However,note that due to the inapplicability of the CP for problems involving the use of the time-temperature superposition principle,the present analysis is applicable to problems with nontransient thermal conditions.In the context of pavement analysis,this makes the present proce-dure applicable to simulation of traffic ͑tire ͒loading conditions for given aging levels.The present approach is not well-suited for thermal-cracking simulations,which require simulation of con-tinuously changing and nonuniform temperature conditions.FE FormulationThe variational principle for quasi-static linear viscoelastic mate-rials under isothermal conditions can be found in Gurtin ͑1963͒.Taylor et al.͑1970͒extended it for thermoviscoelastic boundary value problem͟=͵⍀u͵t Ј=−ϱt Ј=t ͵t Љ=−ϱt Љ=t −t Ј12C ijkl ͓x ,ijkl ͑t −t Љ͒−ijklЈ͑t Ј͔͒ϫץij ͑x ,t Ј͒ץt Јץkl ͑x ,t Љ͒ץt Љdt Јdt Љd ⍀u−͵⍀u͵t Ј=−ϱt Ј=t ͵t Љ=−ϱt Љ=t −t ЈC ijkl ͓x ,ijkl ͑t −t Љ͒−ijklЈ͑t Ј͔͒ϫץij ء͑x ,t Ј͒ץt Јץkl ء͑x ,t Љ͒ץt Љdt Јdt Љd ⍀u −͵⍀͵t Љ=−ϱt Љ=tP i ͑x ,t −t Љ͒ץu i ͑x ,t Љ͒ץt Љdt Љd ⍀=0͑9͒where ⍀u =volume of a body;⍀=surface on which tractions P iare prescribed;u i =displacements;C ijkl =space and time depen-dent material constitutive properties;ij =mechanical strains and ij ء=thermal strains;while ijkl =reduced time related to real time t and temperature T through time-temperature superposition prin-ciple of Eq.͑2͒.The first variation provides the basis for the FE formulation␦͟=͵⍀u ͵t Ј=−ϱt Ј=t ͵t Љ=−ϱt Љ=t −t ЈͭC ijkl ͓x ,ijkl ͑t −t Љ͒−ijklЈ͑t Ј͔͒ץץt Ј͑ij ͑x ,t Ј͒−ij ء͑x ,t Ј͒͒ץ␦kl ͑x ,t Љ͒ץt Љͮdt Јdt Љd ⍀u−͵⍀͵t Љ=−ϱt Љ=tP i ͑x ,t −t Љ͒ץ␦u i ͑x ,t Љ͒ץt Љdt Љd ⍀=0͑10͒The element displacement vector u i is related to nodal displace-ment degrees of freedom q j through the shape functions N iju i ͑x ,t ͒=N ij ͑x ͒q j ͑t ͒͑11͒Differentiation of Eq.͑11͒yields the relationship between strain i and nodal displacements q i through derivatives of shape func-tions B iji ͑x ,t ͒=B ij ͑x ͒q j ͑t ͒͑12͒Eqs.͑10͒–͑12͒provide the equilibrium equation for each finite element͵tk ij ͓x ,͑t ͒−͑t Ј͔͒ץq j ͑t Ј͒ץt Јdt Ј=f i ͑x ,t ͒+f i th ͑x ,t ͒͑13͒where k ij =element stiffness matrix;f i =mechanical force vector;and f i th =thermal force vector,which are described as follows:k ij ͑x ,t ͒=͵⍀uB ik T ͑x ͒C kl ͓x ,͑t ͔͒B lj ͑x ͒d ⍀u ͑14͒f i ͑x ,t ͒=͵⍀N ij ͑x ͒P j ͑x ,t ͒d ⍀͑15͒f i th ͑x ,t ͒=͵⍀u͵−ϱtB ik ͑x ͒C kl ͓x ,͑t ͒−͑t Ј͔͒ץl ء͑x ,t Ј͒ץt Јdt Јd ⍀u͑16͒l ء͑x ,t ͒=␣͑x ͒⌬T ͑x ,t ͒͑17͒where ␣=coefficient of thermal expansion and ⌬T =temperaturechange with respect to initial conditions.On assembly of the individual finite element contributions for the given problem domain,the global equilibrium equation can be obtained as͵tK ij ͓x ,͑t ͒−͑t Ј͔͒ץU j ͑t Ј͒ץt Јdt Ј=F i ͑x ,t ͒+F i th ͑x ,t ͒͑18͒where K ij =global stiffness matrix;U i =global displacement vec-tor;and F i and F i th =global mechanical and thermal force vectors respectively.The solution to the problem requires solving the con-volution shown above to determine nodal displacements.Hilton and Yi ͑1993͒have used the CP-based procedure for implementing the FE formulation.However,the previous re-search efforts were limited to use of conventional finite elements,while in the current paper graded finite elements have been used to efficiently and accurately capture the effects of material non-homogeneities.Graded elements have benefit over conventional elements in context of simulating non-homogeneous isotropic and orthotropic materials ͑Paulino and Kim 2007͒.Kim and Paulino ͑2002͒proposed graded elements with the GIF,where the consti-tutive material properties are sampled at each nodal point and interpolated back to the Gauss-quadrature points ͑Gaussian inte-gration points ͒using isoparametric shape functions.This type of formulation allows for capturing the material nonhomogeneities within the elements unlike conventional elements which are ho-mogeneous in nature.The material properties,such as shear modulus,are interpolated asG Int.Point =͚i =1mG i N i ͑19͒where N i =shape functions;G i =shear modulus corresponding tonode i ;and m =number of nodal points in the element.JOURNAL OF MATERIALS IN CIVIL ENGINEERING ©ASCE /JANUARY 2011/41A series of weak patch tests for the graded elements have been previously established ͑Paulino and Kim 2007͒.This work dem-onstrated the existence of two length scales:͑1͒length scale as-sociated with element size,and ͑2͒length scale associated with material nonhomogeneity.Consideration of both length scales is necessary in order to ensure convergence.Other uses of graded elements include evaluation of stress-intensity factors in FGMs under mode I thermomechanical loading ͑Walters et al.2004͒,and dynamic analysis of graded beams ͑Zhang and Paulino 2007͒,which also illustrated the use of graded elements for simulation of interface between different material layers.In a recent study ͑Silva et al.2007͒graded elements were extended for multiphys-ics applications.Using the elastic-viscoelastic CP,the functionally graded vis-coelastic finite element problem could be deduced to have a func-tional form similar to that of elastic place transform of the global equilibrium shown in Eq.͑18͒isK ˜ij ͑x ,s ͒U ˜j ͑s ͒=F ˜i ͑x ,s ͒+F ˜i th ͑x ,s ͒͑20͒Notice that the Laplace transform of hereditary integral ͓Eq.͑18͔͒led to an algebraic relationship ͓Eq.͑23͔͒,this is major benefit of using CP as the direct integration for solving hereditary integrals will have significant computational cost.As discussed in a previ-ous section,the applicability of correspondence principle for vis-coelastic FGMs imposes limitations on the functional form of constitutive model.With this knowledge,it is possible to further customize the FE formulation for the generalized Maxwell model.Material constitutive properties for generalized Maxwell model is given asC ij ͑x ,t ͒=͚h =1n͓C ij ͑x ͔͒h Exp ͫ−t ͑ij ͒hͬ͑no sum ͒͑21͒where ͑C ij ͒h =elastic contributions ͑spring coefficients ͒;͑ij ͒h=viscous contributions from individual Maxwell units,commonly called relaxation times;and n ϭnumber of Maxwell unit.Fig.1illustrates simplified 1D form of the generalized Max-well model represented in Eq.͑21͒.Notice that the generalized Maxwell model discussed herein follows the recommendations made by Mukherjee and Paulino ͑2003͒for ensuring success of the correspondence principle.For the generalized Maxwell model,the global stiffness matrix K of the system can be rewritten asK ij ͑x ,t ͒=K ij 0͑x ͒Exp ͩ−t ijͪ=K ij 0͑x ͒K ij t͑t ͒͑no sum ͒͑22͒where K ij 0=elastic contribution of stiffness matrix and K t=time dependent portion.Using Eqs.͑20͒and ͑22͒,one can summarize the problem asK ij 0͑x ͒K ˜ij t ͑s ͒U ˜j ͑s ͒=F ˜i ͑x ,s ͒+F ˜i th ͑x ,s ͒͑no sum ͒͑23͒FE ImplementationThe FE formulation described in the previous section was imple-mented and applied to two-dimensional plane and axisymmetricproblems.This section provides the details of the implementation of formulation along with brief description method chosen for numerical inversion from Laplace domain to time domain.The implementation was coded in the commercially available software Matlab.The implementation of the analysis code is di-vided into five major steps as shown in Fig.2.The first step is very similar to the FE method for a time dependent nonhomogeneous problem,whereby local contribu-tions from various elements are assembled to obtain the force vector and stiffness matrix for the system.Notice that due to the time dependent nature of the problem the quantities are evaluated throughout the time duration of analysis.The next step is to trans-form the quantities to the Laplace domain from the time domain.For the generalized Maxwell model,the Laplace transform of the time-dependent portion of the stiffness matrix,K t ,can be directly ͑and exactly ͒determined using the analytical transform given byK ij 0͑x ͒K ˜ij t ͑s ͒U ˜j ͑s ͒=F ˜i ͑x ,s ͒+F ˜i th ͑x ,s ͓͒no sum for K ij 0͑x ͒K ˜ij t ͑s ͔͒͑24͒Laplace transform of quantities other than the stiffness matrix canbe evaluated using the trapezoidal rule,assuming that the quanti-ties are piecewise linear functions of time.Thus,for a given time dependent function F ͑t ͒,the Laplace transform F ˜͑s ͒is estimated asF ˜͑s ͒=͚i =1N −11s 2⌬t͕s ⌬t ͑F ͑t i ͒Exp ͓−st i ͔−F ͑t i +1͒Exp ͓−st i +1͔͒+⌬F ͑Exp ͓−st i ͔−Exp ͓−st i +1͔͖͒͑25͒where ⌬t =time increment;N =total number of increments;and⌬F =change in function F for the given increment.Once the quantities are calculated on the transformed domain the system of linear equations are solved to determine the solu-tion,which in this case produces the nodal displacements in thetransformed domain,U˜͑s ͒.The inverse transform provides the solution to the problem in the time domain.It should be noted that()1C x ()2C x ()n C x τττ12nFig.1.Generalized Maxwell modelDefine problem in time-domain (evaluate load vector F(t)and stiffnessmatrix components K 0(t)and K t (x ))Perform Laplace transform to evaluate F(s)and K t (s)~~Solve linear system of equations to evaluate nodal displacement,U(s)Perform inverse Laplace transforms to get the solution,U(t)~Post-process to evaluate field quantities of interestFig.2.Outline of finite-element analysis procedure42/JOURNAL OF MATERIALS IN CIVIL ENGINEERING ©ASCE /JANUARY 2011the formulation as well as its implementation is relatively straight forward using the correspondence principle based transformed ap-proach when compared to numerically solving the convolution integral.The inverse Laplace transform is of greater importance in the current problem as the problem is ill posed due to absence of a functional description in the imaginary prehensive comparisons of various numerical inversion techniques have been previously presented ͑Beskos and Narayanan 1983͒.In the current study,the collocation method ͑Schapery 1962;Schapery 1965͒was used on basis of the recommendations from previous work ͑Beskos and Narayanan 1983;Yi 1992͒.For the current implementation the numerical inverse trans-form is compared with exact inversion using generalized Maxwell model ͓c.f.Eq.͑21͔͒as the test function.The results,shown in Fig.3,compare the exact analytical inversion with the numerical inversion results.The numerical inversion was carried out using 20and 100collocation points.With 20collocation points,the average relative error in the numerical estimate is 2.7%,whereas with 100collocation points,the numerical estimate approaches the exact inversion.Verification ExamplesIn order to verify the present formulation and its implementation,a series of verifications were performed.The verification was di-vided into two categories:͑1͒verification of the implementation of GIF elements to capture material nonhomogeneity,and ͑2͒verification of the viscoelastic portion of the formulation to cap-ture time and history dependent material response.Verification of Graded ElementsA series of analyzes were performed to verify the implementation of the graded elements.The verifications were performed for fixed grip,tension and bending ͑moment ͒loading conditions.The material properties were assumed to be elastic with exponential spatial variation.The numerical results were compared with exact analytical solutions available in the literature ͑Kim and Paulino 2002͒.The comparison results for fixed grip loading,tensile load-ing,and bending were performed.The results for all three casesshow a very close match with the analytical solution verifying the implementation of the GIF graded parison for the bending case is presented in Fig.4.Verification of Viscoelastic AnalysisVerification results for the implementation of the correspondence principle based viscoelastic functionally graded analysis were performed and are provided.The first verification example repre-sents a functionally graded viscoelastic bar undergoing creep de-formation under a constant load.The analysis was conducted for the Maxwell model.Fig.5compares analytical and numerical results for this verification problem.The analytical solution ͑Mukherjee and Paulino 2003͒was used for this analysis.It can be observed that the numerical results are in very good agreement with the analytical solution.The second verification example was simulated for fixed grip loading of an exponentially graded viscoelastic bar.The numeri-cal results were compared with the available analytical solution24F u n c t i o n ,f (t )T e s t Time (sec)Fig.3.Numerical Laplace inversion using collocation method-y -y D i r e c t i o n (M P a )E (x)--S t r e s s i n -x (mm)parison of exact ͑line ͒and numerical solution ͑circular markers ͒for bending of FGM bar ͑insert illustrates the boundary value problem along with material gradation ͒m )y e n t i n y D i r e c t i o n (m E(x)D i s p a l c e m x (mm)parison of exact and numerical solution for the creep ofexponentially graded viscoelastic barJOURNAL OF MATERIALS IN CIVIL ENGINEERING ©ASCE /JANUARY 2011/43͑Mukherjee and Paulino 2003͒for a viscoelastic FGM.Fig.6compares analytical and numerical results for this verification problem.Notice that the results are presented as function of time,and in this boundary value problem the stresses in y-direction are constant over the width of bar.Excellent agreement between nu-merical results and analytical solution further verifies the veracity of the viscoelastic graded FE formulation derived herein and its successful implementation.Application ExamplesIn this section,two sets of simulation examples using the gradedviscoelastic analysis scheme discussed in this paper are presented.The first example is for a simply supported functionally graded viscoelastic beam in a three-point bending configuration.In order to demonstrate the benefits of the graded analysis approach,com-parisons are made with analysis performed using commercially available software ͑ABAQUS ͒.In the case,of ABAQUS simula-tions,the material gradation is approximated using a layered ap-proach and different refinement levels.The second example is that of an aged conventional asphalt concrete pavement loaded with a truck tire.Simply Supported Graded Viscoelastic BeamFig.7shows the geometry and boundary conditions for the graded viscoelastic simply supported beam.A creep load,P ͑t ͒,is imposed at midspanP ͑t ͒=P 0t͑26͒The viscoelastic relaxation moduli on the top ͑y=y 0͒and bottom ͑y=0͒of the beam are shown in Fig.8.The variation of moduli is assumed to vary linearly from top to bottom as follows:E ͑y ,t ͒=ͩyy 0ͪE Top ͑t ͒+ͩy 0−y y 0ͪE Bottom ͑t ͒͑27͒The problem was solved using three approaches namely,͑1͒graded viscoelastic analysis procedure ͑present paper ͒;͑2͒com-mercial software ABAQUS with different levels of mesh refine-ments and averaged material properties assigned in the layered manner;and ͑3͒assuming averaged material properties for the whole beam.In the case of the layered approach using commer-cial software ABAQUS,three levels of discretization were used.A sample of the mesh discritization used for each of the simula-tion cases is shown in Fig.9.Table 1presents mesh attributes for each of the simulation cases.The parameter selected for comparing the various analysis op-tions is the mid span deflection for the beam problem discussed earlier ͑c.f.Fig.7͒.The results from all four simulation options are presented in Fig.10.Due to the viscoelastic nature of the problem,the beam continues to undergo creep deformation with increasing loading time.The results further illustrate the benefit of using the graded analysis approach as a finer level of meshTable 1.Mesh Attributes for Different Analysis Options Simulation case Number of elements Number of nodes Total degrees of freedom FGM/average/6-layer 7201,5733,1469-layer 1,6203,4396,87812-layer2,8806,02512,050y E 0(x )t i me (sec)parison of exact and numerical solution for the exponen-tially graded viscoelastic bar in fixed grip loadingy()()0P t P h t =xx 0=10y 0=1x 0/2Fig.7.Graded viscoelastic beam problemconfigurationE 0(M P a )l x a t i o n M o d u l u s ,E (t )/N o r m a l i z e d R e 10101010time (sec)Fig.8.Relaxation moduli on top and bottom of the graded beamFG M A verage 6-Layer 9-Layer 12-LayerFig.9.Mesh discretization for various simulation cases ͑1/5th beam span shown for each case ͒。