Authors: Correspondence: ABSTRACT:

Similar documents
Multi-Scale Modeling of Crash & Failure of Reinforced Plastics Parts with DIGIMAT to LS-DYNA interface

DIGIMAT for NANO-COMPOSITES

Module 7: Micromechanics Lecture 34: Self Consistent, Mori -Tanaka and Halpin -Tsai Models. Introduction. The Lecture Contains. Self Consistent Method

Release Notes Digimat 6.0.1

Digimat material model for short fiber reinforced plastics at Volvo Car Corporation

Anisotropic modeling of short fibers reinforced thermoplastics materials with LS-DYNA

3D Compression Molding

Homogenization methods for multi-phase elastic composites: Comparisons and benchmarks

HOMOGENIZATION OF TRABECULAR BONE MICROSTRUCTURE BASED ON FINITE ELEMENT METHOD AND MICRO COMPUTED TOMOGRAPHY

P program, version 2. Theoretical manual & User guide

Soufiane Belhouideg. Keywords Composite materials, homogenization method, Eshelby s inclusion problem.

The Significance of the Production Process of FRP Parts for the Performance in Crashworthiness

FINITE ELEMENT ANALYSIS OF COMPOSITE MATERIALS

MULTI-SCALE MODELING OF TRIAXIAL WOVEN FABRICS. APPLICATION TO SATELLITE ANTENNA

Finite Element of Composite Materials with Partial Debonding along Boundary. Kohei HIGUCHI, Tetsuo IWAKUMA

An orthotropic damage model for crash simulation of composites

An Elasto-Visco-Plastic Multiscale Model for Fibrous Unidirectional Composite Materials

Multiscale analyses of the behaviour and damage of composite materials

Elastic parameters prediction under dynamic loading based on the. unit cell of composites considering end constraint effect

Archetype-Blending Multiscale Continuum Method

Don Robbins, Andrew Morrison, Rick Dalgarno Autodesk, Inc., Laramie, Wyoming. Abstract

Coupling of plasticity and damage in glass fibre reinforced polymer composites

Effect of Thermal Stresses on the Failure Criteria of Fiber Composites

MICROSTRUCTURAL AND ELASTIC PROPERTIES OF SHORT FIBER REINFORCED COMPOSITES

Hysteretic equivalent continuum model of nanocomposites with interfacial stick-slip

FINITE ELEMENT ANALYSIS OF A LAYERED COMPOSITE CYLINDER USING THE CONNECTION BETWEEN THE MACRO- AND MICROSTRUCTURE

PROPERTY CALCULATION SYSTEM FOR INJECTION MOLDING AND COMPRESSION MOLDING OF FIBER-FILLED POLYMER COMPOSITES

A FINITE ELEMENT MODEL TO PREDICT MULTI- AXIAL STRESS-STRAIN RESPONSE OF CERAMIC MATRIX COMPOSITES WITH STRAIN INDUCED DAMAGE

ASSESSMENT OF MIXED UNIFORM BOUNDARY CONDITIONS FOR PREDICTING THE MACROSCOPIC MECHANICAL BEHAVIOR OF COMPOSITE MATERIALS

Alternative numerical method in continuum mechanics COMPUTATIONAL MULTISCALE. University of Liège Aerospace & Mechanical Engineering

Crash and Impact Simulation of Composite Structures by Using CAE Process Chain

N o n l i n e a r M u l t i - S c a l e M o d e l i n g o f A e r o s p a c e C o m p o s i t e s M a t e r i a l s & S t r u c t u r e s

Viscoelastic Damping Characteristics of Indium-Tin/SiC Particulate Composites

Continuum Modeling Techniques to Determine Mechanical Properties of Nanocomposites

Crashworthy Design of Composite Structures Using CAE Process Chain

QUESTION BANK Composite Materials

Predicting Elastic Properties of Unidirectional SU8/ZnO Nanocomposites using COMSOL Multiphysics

Open-hole compressive strength prediction of CFRP composite laminates

MODELLING THE THERMOELASTIC PROPERTIES OF SHORT FIBRE COMPOSITES WITH ANISOTROPIC PHASES

DEVELOPMENT OF A CONTINUUM PLASTICITY MODEL FOR THE COMMERCIAL FINITE ELEMENT CODE ABAQUS

CLOSED SIMULATION PROCESS CHAIN FOR SHORT FIBER REINFORCED PLASTIC COMPONENTS WITH LS-DYNA

Enhancing Prediction Accuracy In Sift Theory

Computational Analysis for Composites

DESIGN OF LAMINATES FOR IN-PLANE LOADING

Numerical evaluation of effective material properties of randomly distributed short cylindrical fibre composites

MODELLING INTERACTION EFFECT OF NANOSILICA PARTICLES ON NANOSILICA/EPOXY COMPOSITE STIFFNESS

Phase-field Modeling of Microstructures and Rapid Image-Based Calculation of Stress-Strain Curve

MODELING OF THE BEHAVIOR OF WOVEN LAMINATED COMPOSITES UNTIL RUPTURE

HOMOGENIZATION MODELS FOR POLYMER-CLAY NANOCOMPOSITES: ONE- AND TWO-STEP APPRAOCHES

ELASTOPLASTICITY THEORY by V. A. Lubarda

An Atomistic-based Cohesive Zone Model for Quasi-continua

Multiscale Approach to Damage Analysis of Laminated Composite Structures

Modelling the nonlinear shear stress-strain response of glass fibrereinforced composites. Part II: Model development and finite element simulations

Effects of geometry and properties of fibre and matrix on overall. composite parameters

CHAPTER 4 MODELING OF MECHANICAL PROPERTIES OF POLYMER COMPOSITES

Module 4: Behaviour of a Laminae-II. Learning Unit 1: M1. M4.1 Mechanics of Composites. M4.1.1 Introduction to Mechanics of Composites

A direct evaluation of the Fabric Tensor in anisotropic porous media

A FAILURE CRITERION FOR POLYMERS AND SOFT BIOLOGICAL MATERIALS

CHARACTERIZATION AND DAMAGE EVOLUTION OF S.M.C COMPOSITES MATERIALS BY ULTRASONIC METHOD

Thick Shell Element Form 5 in LS-DYNA

Development of a code to generate randomly distributed short fiber composites to estimate mechanical properties using FEM

Generic Strategies to Implement Material Grading in Finite Element Methods for Isotropic and Anisotropic Materials

A multiscale approach for composite materials as multifield continua

A TIME-DEPENDENT DAMAGE LAW IN DEFORMABLE SOLID: A HOMOGENIZATION APPROACH

MICROMECHANICS AND HOMOGENIZATION. Materials Containing Coated and Uncoated Spherical Inhomogeneities

Received 5 April 2003; received in revised form 29 May 2003

A Constitutive Framework for the Numerical Analysis of Organic Soils and Directionally Dependent Materials

Micro-meso draping modelling of non-crimp fabrics

Experimental Study of the Induced Residual Stresses During the Manufacturing Process of an Aeronautic Composite Material

An Exact Result for the Macroscopic Response of Particle-Reinforced Neo-Hookean Solids

LAMINATION THEORY FOR THE STRENGTH OF FIBER COMPOSITE MATERIALS

Buckling Behavior of 3D Randomly Oriented CNT Reinforced Nanocomposite Plate

ON THE NUMERICAL ANALYSIS OF COMPOSITE MATERIAL

Application of a non-local failure criterion to a crack in heterogeneous media S. Bavaglia*, S.E. Mikhailov*

HOMOGENIZATION AND UNCERTAINTY ANALYSIS FOR FIBER REINFORCED COMPOSITES

MULTIAXIAL ASSESSMENT METHOD FOR FATIGUE CALCULATIONS IN COMPOSITE COMPONENTS

EFFECTIVE PROPERTIES OF THREE-PHASE ELECTRO-MAGNETO-ELASTIC MULTIFUNCTIONAL COMPOSITE MATERIALS. A Thesis JAE SANG LEE

EVALUATION OF EFFECTIVE MECHANICAL PROPERTIES OF COMPLEX MULTIPHASE MATERIALS WITH FINITE ELEMENT METHOD

2 Experiment of GFRP bolt

Mechanical modelling of SiC/SiC composites and design criteria

Finite Element Modeling of Residual Thermal Stresses in Fiber-Reinforced Composites Using Different Representative Volume Elements

MODELING OF ELASTO-PLASTIC MATERIALS IN FINITE ELEMENT METHOD

Table of Contents. Foreword... xiii Introduction... xv

MICROMECHANICAL ANALYSIS OF FRP COMPOSITES SUBJECTED TO LONGITUDINAL LOADING

Composite models 30 and 131: Ply types 0 and 8 calibration

Crashworthiness of composite structures: Experiment and Simulation

Modelling Anisotropic, Hyperelastic Materials in ABAQUS

Effect of fibre shape on transverse thermal conductivity of unidirectional composites

Stress-strain response and fracture behaviour of plain weave ceramic matrix composites under uni-axial tension, compression or shear

Most of the material in this package is based on a recently published book. This is:

U.S. South America Workshop. Mechanics and Advanced Materials Research and Education. Rio de Janeiro, Brazil. August 2 6, Steven L.

ENGN 2340 Final Project Report. Optimization of Mechanical Isotropy of Soft Network Material

A Stress Gradient Failure Theory for Textile Structural Composites. Final Technical Report submitted to ARO

Homogenization techniques for the analysis of porous SMA

International Journal of Engineering Science

CSMA Towards optimal design of multiscale nonlinear structures and reduced-order modeling approaches. 1 Introduction.

MATERIAL MECHANICS, SE2126 COMPUTER LAB 4 MICRO MECHANICS. E E v E E E E E v E E + + = m f f. f f

Micromechanical analysis of FRP hybrid composite lamina for in-plane transverse loading

School of Materials Science and Engineering, UNSW Sydney, Australia 2. School of Mechanical and Manufacturing Engineering, UNSW Sydney, Australia

MECHANICS OF CARBON NANOTUBE BASED COMPOSITES WITH MOLECULAR DYNAMICS AND MORI TANAKA METHODS. Vinu Unnithan and J. N. Reddy

Transcription:

Multi-Scale Modeling of the Impact and Failure of Fiber Reinforced Polymer Structures using DIGIMAT to LS-DYNA Interface Authors: L. Adam, R. Assaker & R. Ramaya e-xstream engineering S.A. 7, Rue du Bosquet. B-348 Louvain-la-Neuve. Belgium Correspondence: R. Assaker e-xstream engineering S.A. Phone : +32 () 866425 Fax : +32 () 84767 Email : Roger.Assaker@e-xstream.com ABSTRACT: This paper deals with the prediction of the overall behavior of polymer matrix composites and structures, based on mean-field homogenization. We present the basis of the mean-field homogenization incremental formulation and illustrate the method through the analysis of the impact properties of fiber reinforced structures. The present formulation is part of the DIGIMAT [] software developed by e-xstream engineering. An interface between LS-DYNA and DIGIMAT was developed in order to perform multi-scale FE analysis of these composite structures taking into account the local, anisotropic, nonlinear and strain-rate dependent behavior of the material. Impact simulations are performed on glass fiber reinforced polymer structures using DIGIMAT interface to LS-DYNA. These analyses enable to highlight the sensitivity of the impact properties to the fibers concentration, orientation and length. Keywords: Multi-scale material modeling, micro-macro material modeling, composite materials, fiber reinforced materials. 5.5.3 5.23

INTRODUCTION The accurate linear and nonlinear modeling of complex composite structures pushes the limits of finite element analysis software with respect to element formulation, solver performance and phenomenological material models. The finite element analysis of injection molded structures made of nonlinear and/or time-dependent anisotropic reinforced polymer is increasingly complex. In this case, the material behavior can significantly vary from one part to another throughout the structure and even from one integration point to the next in the plane and across the thickness of the structure due to the fiber orientation induced by the polymer flow. The accurate modeling of such structures and materials is possible with LS-DYNA using LS-DYNA s Usermat subroutine to call the DIGIMAT micromechanical modeling software []. In addition to enabling accurate and predictive modeling of such materials and structures, this multiscale approach provides the FEA analyst and part designer with an explicit link between the parameters describing the microstructure (e.g. fiber orientation predicted by injection molding software and the final part performance predicted by LS-DYNA). THEORETICAL BACKGROUND OF HOMOGENIZATION In a multi-scale approach, at each macroscopic point x (which is viewed at the microscopic level as the center of a representative volume element (RE) of the material under consideration), we know the macroscopic strain and we need to compute the macroscopic stress σ or vice-versa. At the microscopic level, we have an RE of domain ω and boundary ω. It can be shown that if linear boundary conditions are applied on the RE, relating macroscopic stresses and strains is equivalent to relating average stresses σ to average strains over the RE. The homogenization procedure is divided in three steps (see Figure ). In the first step, called the localization step, the given macroscopic strain tensor is localized in each phase of the composite material. In the second step, constitutive laws are applied for each phase and a per phase stress tensor is computed. The phases stress tensors are averaged in the last step to give the macroscopic stress tensor. The composite behavior will depend explicitly on the phase behavior, the current inclusion shape and the current inclusion orientation. 5.24 5.5.3

Figure : Homogenization - General scheme Homogenization of a two-phase composite Let s consider a two-phase composite where inclusions (denoted by subscript ) are dispersed in a matrix (subscript ). The matrix, which extends on domainω, has a volume and volume fraction v =, where is the volume of the RE. The inclusion phase, which extends on domainω, has a total volume and a volume fraction v = = v. We then define the following volume averages, respectively over the RE and both phases: f f ( x, x) d ω, f f ( x, x) dr, r =, ωr r ωr (Eq. ) and where the integration is carried out with respect to the micro coordinate x. In the following, dependence on macroscopic coordinates x will be omitted for simplicity. It is easy to check that these averages are related by: 5.5.3 5.25

f = v f + v f. (Eq. 2) ω ω The per phase strain averages are related by a strain concentration tensor ω B as follows: = B. (Eq. 3) ω arious homogenization models were proposed in the literature and differ in the expression of B. The per phase strain averages are related to the macroscopic strain = by: and [ v B + ( v ) ] = : ω I [ v B + ( v ) ] = : : ω I B (Eq. 4) Except for the simplest models (e.g. oigt model, which assumes uniform strains over the RE and Reuss model, which assumes uniform stress), homogenization models are based on the fundamental solution of Eshelby [3,2]. That solution allows solving the problem of a single ellipsoidal inclusion (I) of uniform moduli c which is embedded in an infinite matrix of uniform moduli c. Under a remote uniform strain, it is found that the strain field in the inclusion is uniform and related to the remote macroscopic strain by: ( x) = H ( I, c, c) : x ( I) where the single strain concentration tensor H ( I, c [ I + P( c, c ) ( c )], c ) : = c H has the following expression : (Eq. 5) (Eq. 6) and where ( ) P( c ξ denotes the polarization tensor which is, c ) = ( I, c ) : c ξ ( I, c evaluated from Eshelby s tensor ), which can be computed analytically in the simplest case and numerically in more general cases. Let s also note that for any 5.26 5.5.3

homogenization model defined by an expression of given by: [ v c : B + ( v ) c ]: [ v B + ( v ] c = I ) (Eq. 7) B, the macroscopic stiffness c is The Mori-Tanaka model (M-T) was proposed by Mori and Tanaka [4] and is such that the strain concentration tensor B is equal to H ( I, c, c ). Thus the M-T model has the following physical interpretation: each inclusion behaves like an isolated inclusion in the matrix seeing as a far strain field. ω From the strain fields in the phases, the stresses can be computed using the material laws assigned to the phases. The material behavior of the phases can be nonlinear and can, amongst other, involved strain-rate or thermal dependencies. These stresses are then averaged in order to compute the macroscopic stresses which thus, if any, reflect the non-linearity and the anisotropy of the composite microstructure at micro-level, as well as the strain-rate or thermal dependencies defined for the phases. This theory can be extended to composites containing a matrix and inclusions of different shapes, orientations or material properties. The inclusions are classified into N phases (i) of volume fraction ν i, N ν + ν i =. (Eq. 8) i= PROCEDURE DIGIMAT can be linked to LS-DYNA through its user-defined material interface enabling the following two-scale approach: A classical finite element analysis is carried out at macro scale, and for each time/load interval [ t, t n n+ ] and at each element integration point, DIGIMAT is called to perform an homogenization of the composite material under consideration (Figure 2). Based on the macroscopic strain tensor given by LS-DYNA, DIGIMAT computes and returns, amongst other, the macroscopic stress tensor at the end of the time increment. The microstructure is not seen by LS-DYNA but only by DIGIMAT, which 5.5.3 5.27

considers each integration point as the center of a representative volume element of the composite material. The material response computed by DIGIMAT will strongly depend on the phases behavior and the inclusion shape but also on the inclusion orientation. Figure 2: Interaction between DIGIMAT and LS-DYNA. Left: Classical FE procedure Right: Multi-scale procedure using DIGIMAT as the material modeler When a part is injected with a polymer reinforced by glass fibers, the fibers orientation will differ from one point to another. The microstructure of the composite will thus be different for each integration point of the FE model. Interfaces between injection molding software (like Moldflow, Sigmasoft or Moldex3D) and DIGIMAT can also be use jointly with the DIGIMAT LS-DYNA interface. The predicted microstructure at the end of the molding process (e.g. the orientation of the fibers) can thus be used as an input to DIGIMAT. Another advantage of using DIGIMAT to simulate composite materials with FE analysis is that, in addition to the macro stress, DIGIMAT will compute stresses and strains in the phases and store it in LS-DYNA history variables. This is very useful, amongst other, in order to apply failure criteria at the microscopic level instead of the macroscopic level. 5.28 5.5.3

APPLICATIONS Impact tests on glass fiber reinforced polymer plates were performed using DIGIMAT coupled to LS-DYNA and can be used, for example, to analyze the sensitivity of the impact properties to the fiber s concentration, orientation and length. Figure 3 shows the initial configuration illustrating the impact tests setup. In this impact analyses, element deletion was based on failure criteria computed at the microscopic scale. arious failure criteria can thus be used (involving stress or strain) and computed, for example, in inclusion s local axes. Figure 4 shows the final distribution of a classical maximum stress failure criterion computed in the axial direction of the fiber s. Figure 5 shows the evolution of the internal energy for three different case of fiber orientation: Fully aligned along an in-plane direction, randomly distributed in the plane of the impacted plate and oriented following the predicted orientation tensors of the injection molding computation. Figure 3: Impact of glass reinforced polymer plate with a falling weight (m height drop) 5.5.3 5.29

Figure 4: Distribution of failure criterion in glass fiber s. 2,, Fixed Orientation (Theta = 9, Phi = ) Internal Energy [ 9 J ] 8, 6, 4, MoldFlow predicted orientation Randon 2D orientation 2,,,5,,5,2,25,3,35,4,45,5 Time [s] Figure 5: Evolution of internal energies for different cases of glass fiber orientation. 5.2 5.5.3

Additional validation and industrial examples will be presented at the conference. SUMMARY AND CONCLUSIONS Our homogenization code DIGIMAT was integrated into LS-DYNA through the userdefined material subroutine in order to perform explicit analysis. A two-scale method was used to model the behavior of nonlinear composite structures: a FE model at macroscale, and at each integration point of the macro FE mesh, the DIGIMAT homogenization module is called. The procedure allows to compute real-world structures made of composite materials within reasonable CPU time and memory usage. Application to the impact of glass fiber reinforced polymers, using the predicted fiber orientation coming from the injection molding software, was presented. REFERENCES. DIGIMAT Software, e-xstream engineering, Louvain-la-Neuve, Belgium. http://www.e-xstream.com 2. Doghri I., 2. Mechanics of deformable solids. Linear, nonlinear, analytical and computational aspects. Springer, Berlin. 3. Eshelby J.D., 957, The determination of the elastic field of an ellipsoidal inclusion and related problems, Proc. Roy. Soc. London, Ser. A, 24, pp 376-396. 4. Mori, T. & K. Tanaka, 973, Average stress in matrix and average elastic energy of materials with misfitting inclusions, Acta Metall., 2, 57-574. 5.5.3 5.2

5.22 5.5.3