Concrete Fracture Prediction Using Virtual Internal Bond Model with Modified Morse Functional Potential

Similar documents
An Atomistic-based Cohesive Zone Model for Quasi-continua

Cohesive Zone Modeling of Dynamic Fracture: Adaptive Mesh Refinement and Coarsening

Modeling of Interfacial Debonding Induced by IC Crack for Concrete Beam-bonded with CFRP

Supplementary Figures

Extraction of Cohesive Properties of Elasto-Plastic material using Inverse Analysis

ICM11. Simulation of debonding in Al/epoxy T-peel joints using a potential-based cohesive zone model

On characterising fracture resistance in mode-i delamination

Measurement of deformation. Measurement of elastic force. Constitutive law. Finite element method

Large Scale Topology Optimization Using Preconditioned Krylov Subspace Recycling and Continuous Approximation of Material Distribution

Modelling of composite concrete block pavement systems applying a cohesive zone model

FRACTURE IN HIGH PERFORMANCE FIBRE REINFORCED CONCRETE PAVEMENT MATERIALS

Prediction of Concrete Fracture Mechanics Behavior and Size Effect using Cohesive Zone Modeling

Fig. 1. Different locus of failure and crack trajectories observed in mode I testing of adhesively bonded double cantilever beam (DCB) specimens.

Abstract. 1 Introduction

MODELING OF THE WEDGE SPLITTING TEST USING AN EXTENDED CRACKED HINGE MODEL

REPRESENTING MATRIX CRACKS THROUGH DECOMPOSITION OF THE DEFORMATION GRADIENT TENSOR IN CONTINUUM DAMAGE MECHANICS METHODS

5 ADVANCED FRACTURE MODELS

Mechanics PhD Preliminary Spring 2017

A FINITE ELEMENT MODEL FOR SIZE EFFECT AND HETEROGENEITY IN CONCRETE STRUCTURES

EFFECT OF THE TEST SET-UP ON FRACTURE MECHANICAL PARAMETERS OF CONCRETE

SSRG International Journal of Mechanical Engineering (SSRG-IJME) volume1 issue5 September 2014

Mechanical Properties of Materials

Cracking in Quasi-Brittle Materials Using Isotropic Damage Mechanics

Topology Optimization Applied to the Design of Functionally Graded Piezoelectric Bimorph

Análisis Computacional del Comportamiento de Falla de Hormigón Reforzado con Fibras Metálicas

Size effect in the strength of concrete structures

Fig. 1. Circular fiber and interphase between the fiber and the matrix.

Example-3. Title. Description. Cylindrical Hole in an Infinite Mohr-Coulomb Medium

Experimentally Calibrating Cohesive Zone Models for Structural Automotive Adhesives

Eshan V. Dave, Secretary of M&FGM2006 (Hawaii) Research Assistant and Ph.D. Candidate. Glaucio H. Paulino, Chairman of M&FGM2006 (Hawaii)

Modelling Localisation and Spatial Scaling of Constitutive Behaviour: a Kinematically Enriched Continuum Approach

Cohesive Band Model: a triaxiality-dependent cohesive model inside an implicit non-local damage to crack transition framework

INTERNATIONAL JOURNAL OF APPLIED ENGINEERING RESEARCH, DINDIGUL Volume 2, No 1, 2011

Nonlinear Theory of Elasticity. Dr.-Ing. Martin Ruess

3D Finite Element analysis of stud anchors with large head and embedment depth

Microplane Model formulation ANSYS, Inc. All rights reserved. 1 ANSYS, Inc. Proprietary

Comparison between a Cohesive Zone Model and a Continuum Damage Model in Predicting Mode-I Fracture Behavior of Adhesively Bonded Joints

Numerical Characterization of Concrete Heterogeneity

PROGRESSIVE DAMAGE ANALYSES OF SKIN/STRINGER DEBONDING. C. G. Dávila, P. P. Camanho, and M. F. de Moura

MATERIAL PROPERTIES. Material Properties Must Be Evaluated By Laboratory or Field Tests 1.1 INTRODUCTION 1.2 ANISOTROPIC MATERIALS

Continuum Mechanics and the Finite Element Method

Using MATLAB and. Abaqus. Finite Element Analysis. Introduction to. Amar Khennane. Taylor & Francis Croup. Taylor & Francis Croup,

NUMERICAL MODELLING AND DETERMINATION OF FRACTURE MECHANICS PARAMETERS FOR CONCRETE AND ROCK: PROBABILISTIC ASPECTS

An orthotropic damage model for crash simulation of composites

Numerical Simulation of the Mode I Fracture of Angle-ply Composites Using the Exponential Cohesive Zone Model

MITOCW MITRES2_002S10nonlinear_lec15_300k-mp4

Fundamentals of Linear Elasticity

EVALUATION OF NONLOCAL APPROACHES FOR MODELLING FRACTURE IN NOTCHED CONCRETE SPECIMENS

Fracture Mechanics, Damage and Fatigue Linear Elastic Fracture Mechanics - Energetic Approach

Creep Compliance Analysis Technique for the Flattened Indirect Tension Test of Asphalt Concrete

IAP 2006: From nano to macro: Introduction to atomistic modeling techniques and application in a case study of modeling fracture of copper (1.

Verification of the Hyperbolic Soil Model by Triaxial Test Simulations

Cracking in Quasi-Brittle Materials Using Isotropic Damage Mechanics

Bounds for element size in a variable stiffness cohesive finite element model

Nonlinear FE Analysis of Reinforced Concrete Structures Using a Tresca-Type Yield Surface

Thermal Stress Analysis in Ultra-Thin Whitetopping Pavement

Anisotropic Damage Mechanics Modeling of Concrete under Biaxial Fatigue Loading

Microstructural Randomness and Scaling in Mechanics of Materials. Martin Ostoja-Starzewski. University of Illinois at Urbana-Champaign

EDEM DISCRETIZATION (Phase II) Normal Direction Structure Idealization Tangential Direction Pore spring Contact spring SPRING TYPES Inner edge Inner d

Engineering Sciences 241 Advanced Elasticity, Spring Distributed Thursday 8 February.

BENCHMARK LINEAR FINITE ELEMENT ANALYSIS OF LATERALLY LOADED SINGLE PILE USING OPENSEES & COMPARISON WITH ANALYTICAL SOLUTION

University of Sheffield The development of finite elements for 3D structural analysis in fire

Durability of bonded aircraft structure. AMTAS Fall 2016 meeting October 27 th 2016 Seattle, WA

Modeling Bamboo as a Functionally Graded Material

Materials and Structures

δ 25 Crack opening displacement parameter in cohesive zone models: experiments and simulations in asphalt concrete

Research Article Toughness Calculation of Postfire Normal Concrete

Non-Linear Finite Element Methods in Solid Mechanics Attilio Frangi, Politecnico di Milano, February 17, 2017, Lesson 5

STANDARD SAMPLE. Reduced section " Diameter. Diameter. 2" Gauge length. Radius

(MPa) compute (a) The traction vector acting on an internal material plane with normal n ( e1 e

Exercise: concepts from chapter 8

BRIDGING LAW SHAPE FOR LONG FIBRE COMPOSITES AND ITS FINITE ELEMENT CONSTRUCTION

EFFECTS OF MICROCRACKS IN THE INTERFACIAL ZONE ON THE MACRO BEHAVIOR OF CONCRETE

On the Discrete Numerical Simulation of Steel Fibre Reinforced Concrete (SFRC)

Cracked concrete structures under cyclic load

BRIDGES BETWEEN DAMAGE AND FRACTURE MECHANICS

A RATE-DEPENDENT MULTI-SCALE CRACK MODEL FOR CONCRETE

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

A circular tunnel in a Mohr-Coulomb medium with an overlying fault

Large deflection analysis of planar solids based on the Finite Particle Method

NONLINEAR CONTINUUM FORMULATIONS CONTENTS

Discrete Element Modelling of a Reinforced Concrete Structure

Lecture #2: Split Hopkinson Bar Systems

Uncertainty modelling using software FReET

Multiscale modeling of failure in ABS materials

Module-4. Mechanical Properties of Metals

Load Cell Design Using COMSOL Multiphysics

Geology 229 Engineering Geology. Lecture 5. Engineering Properties of Rocks (West, Ch. 6)

Nonlinear Finite Element Modeling of Nano- Indentation Group Members: Shuaifang Zhang, Kangning Su. ME 563: Nonlinear Finite Element Analysis.

Topology Optimization with Stress Constraints: Reduction of Stress Concentration in Functionally Graded Structures

Particle flow simulation of sand under biaxial test

NUMERICAL INVESTIGATION OF DELAMINATION IN L-SHAPED CROSS-PLY COMPOSITE BRACKET

Fluid driven cohesive crack propagation in quasi-brittle materials

Using the Timoshenko Beam Bond Model: Example Problem

Discrete Analysis for Plate Bending Problems by Using Hybrid-type Penalty Method

Autodesk Helius PFA. Guidelines for Determining Finite Element Cohesive Material Parameters

Determination of concrete fracture toughness from modal dynamic response of notched beams

Introduction and Background

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

NUMERICAL SIMULATION OF THE INELASTIC SEISMIC RESPONSE OF RC STRUCTURES WITH ENERGY DISSIPATORS

Transcription:

Concrete Fracture Prediction Using Virtual Internal Bond Model with Modified Morse Functional Potential Kyoungsoo Park, Glaucio H. Paulino and Jeffery R. Roesler Department of Civil and Environmental Engineering, University of Illinois at Urbana Champaign, 205N. Mathews Ave Urbana, 11,61801, U.S.A. Abstract. Concrete fracture behavior is predicted by one of multi-scaling methods, called the virtual internal bond (VIB) model. The VIB model describes the microscopic interactions between the cement pastes and aggregates using the concept of homogenization. The microscopic behavior is connected to macroscopic behavior by the Cauchy-Born rule, which results in the strain energy function. From the macroscopic strain energy function, the VIB model represents both elastic and fracture behavior within the framework of continuum mechanics. In this study, a modified Morse functional potential is introduced for material particles interactions so that the potential is independent of the length scale lattice parameter. The other parameters in the potential function are determined on the basis of macroscopic fracture parameters, i.e. the fracture energy and the cohesive strength. Moreover, the fracture energy is evaluated in conjunction with the J-integral. Finally, the VIB model with the modified Morse potential is verified by the double cantilever beam test and validated by three-point bending tests. Keywords: Concrete, Virtual Internal Bond Model, Morse Functional Potential. INTRODUCTION Classical linear elastic fracture mechanics (LEFM) has limitations to simulate crack initiation and propagation, especially for quasi-brittle materials such as concrete [1]. To characterize a nonlinear fracture process zone, a cohesive surface element [2, 3] is introduced, based on the concept of cohesive zone model. The cohesive surface element describes fracture behavior while the bulk element captures, for example, elastic behavior. Based on a multiscale interpretation of a cohesive law, a virtual internal bond (VIB) model was presented by Gao and Klein [4, 5]. The VIB model describes the microscopic interactions between particles with the concept of homogenization. The microscopic behaviors are connected to macroscopic behaviors by the Cauchy-Born rule, which results in the strain energy function [6]. Therefore, the VIB model represents both elastic and fracture behaviors within the framework of continuum mechanics. Moreover, Gao and Ji [7] implemented the VIB modeling in nanomaterials illustrating transitions of the fracture mechanism from classical LEFM to one of homogeneous failure near the theoretical strength of solids. Afterwards, Thiagarajan et CP973, Multiscale and Functionally Graded Materials 2006 edited by G. H. Paulino, M.-J. Pmdera, R. H. Dodds, Jr., F. A. Rochinha, E. V. Dave, and L. Chen O 2008 American Institute of Physics 978-0-7354-0492-2/08/$23.00 724

al. [8] investigated dynamic fracture behavior for a brittle material under impact loading. This paper investigates fracture behavior of concrete by introducing a modified Morse potential. The potential is independent of a lattice parameter, and represents two basic fracture parameters, i.e. cohesive strength and fracture energy. THE VIRTUAL INTERNAL BOND (VIB) MODEL The macroscopic strain energy function is characterized by the bond potential function via the Cauchy-Bom rule. Based on the Cauchy-Bom rule, continuum behavior is described by a single mapping function, i.e. deformation gradient F. Therefore, the bonding potential, U{ ), is defined by a deformed virtual bond length, e = ej^-rf^, (i) along a bond direction ^, where is an undeformed virtual bond length. Based on the bonding potential, a strain energy function is represented by the summation of the bonding potential with a bond density, D^, over domain Q, where ( ) = { D^dQ. O = j U{ )D^dQ = {U{ )), (2) In this study, the two dimensional constant bond density function, D^=D^, is considered, which illustrates an isotropic sohd, and has the same initial bond length { ) over the domain. The constant bond density function and two dimensional bond direction, ^= {cosi/>,smi/>), simplify the strain energy function as follows (S) = D^fy(i)d^, (3) which is also suitable for the numerical investigation of fracture parameters. From the determination of the strain energy function (3), the constitutive relation is formulated on the basis of continuum mechanics. The Lagrangian strain, E, and the 2"'' Piola-Kirchhoff stress tensor, S, are used for the calculation of the stress and the material tangential modulus. The derivative of the strain energy with respect to the Lagrangian strain provides the second Piola-Kirchhoff stress, where the superscript prime denotes the derivative with respect to the virtual bond length. The material tangent modulus is obtained by the second derivative of the strain energy function with respect to the Lagrangian strain. ^,^AKU, (5) which satisfies the Cauchy symmetry, C,j^_^ = C,^_j^, as well as the usual major and minor symmetries of elasticity. Because of these symmetries, only one elastic property is necessary. Therefore, the Cauchy symmetry is satisfied by the fourth order isotropic elasticity tensor whose Lame parameters {n,^) are the same [8]. 725

Virtual Bond Potential: Modified Morse Potential The focus of the VIB model is the determination of the virtual bond potential U(l). Previous researchers [4, 5, 8, 9, 10] have utilized the two-parameter phenomenological cohesive law, [/W = ^(^-^ )exp(-(^-^ )/B), (6) for the bonding potential. The constant A is related to the initial Young's modulus while the constant B can be determined by the cohesive strength or by the fracture energy. Thus, this potential function can only characterize the initial elastic properties and one fracture parameter. This study modifies the generalized Morse potential proposed by Milstein [11], an atomistic pair bond potential, so that the proposed potential is independent of the initial bond length, and characterizes two fracture parameters, i.e. the fracture energy and the cohesive strength. Additionally, the modified Morse potential satisfies the general physical properties of an atomistic potential stated by Girifalco and Weizer [12]. The modified Morse functional potential is expressed as [/(^) =! [exp(-otq;(^/^ -l))-otexp(-q;(^/^ -l))] (7) m \ SO that the potential function is independent of the lattice parameter (^ ) because the particle distance (^) is normalized with respect to the lattice parameter. However, the Morse potential by Milstein [11] is dependent on the lattice parameter. The two exponents {m, a) in the potential characterize two fracture parameters: the cohesive strength and the fracture energy. Elastic Properties at Infinitesimal Strains Elastic material properties of the VIB model are evaluated at the state of small strain by defining the material tangential modulus in two different ways [4]. Either the strain energy function (3) of the VIB model or the linear elastic strain energy function represents the material tangential modulus. Then, from the Cauchy symmetry relation, by equating the tangential modulus from the strain energy function of the VIB model with the tangential modulus from the linear elastic strain energy function, one obtains the relationship between the shear modulus (M) and the bond potential, ^ = ^ >:DJJ"(l>,), (8) for a two dimensional problem. The elastic properties are also represented by the Poisson's ratio (v) and Young's modulus {E) whose relationship is v='^2inae = ^i>:djj"(i>,). (9) Elastic Fracture Properties and Mesh Dependence The essential fracture characteristic of the VIB model is that the fracture energy depends on the element size [13], which can be explained by the path independent J- integral [14]. Because of the path independence, a contour is selected along the upper and lower bound of a localization zone QIL) where stress softening occurs for a mode I 726

fracture [13]. The selected contour results in the symmetric stress and displacement field, and then we obtain J for mode 1, J = h,[p,,dx,=g, (10) where P22 is the 1st Piola-Kirchhoff stress along the X2 direction. Therefore, the J- integral introduces a length scale (hi) which is proportional to the fracture energy. Moreover, because the fracture energy depends on the locahzation zone size (hi), which is related to the VIB element size, the reference fracture energy (Gpo) is defined as corresponding to the reference localization zone size {hio}- If the size of the locahzation zone (hi) grows in the finite element mesh, the numerical result of the fracture energy (Gp) also increases with the same ratio as that of the locahzation zone. NUMERICAL VERIFICATION AND VALIDATION Numerical simulations of the VIB model are implemented by using a commercial software, i.e. ABAQUS, with the application of the user material (UMAT) subroutine capability. In this section, the element size dependence is verified by simulating the double cantilever beam (DCB) test. Furthermore, the VIB model is validated with the three-point bending (TPB) tests of Roesler et al. [15]. Verification of Fracture Properties and Element Size Dependence The numerical simulations of the DCB test verify the relationship between the fracture energy and the size of the locahzation zone, derived by the J-integral, because the DCB test provides the analytical solution of the energy release rate. The DCB geometry has an initial notch (ao) of 0.1 m, height (2/z) of 0.1m, and length (Z) of 1 m. The localization zone is defined by the VIB element along the direction of crack propagation. The exponents (m, a) in the bond potential are determined by numerical simulations of the pure tension test with the reference localization zone size (hio = 0.0005m) because numerical results of the test provide the cohesive strength and the fracture energy. The peak stress corresponds to the cohesive strength (ft' = 4.15 MPa). The fracture energy of numerical results is the area under the stress-displacement curve (Gpo =164N/m). Additionally, the bond density is calculated by the equation (9) with the initial Young's modulus of 32GPa. Analytical solution (LEFM : 0^= 164 N/m) Analytical solution (Beam theory : a = 0.1 m) Numerical simulation (VIB model) Analytical solution (LEFM : G^ = 82 N/m) Analytical solution (Beam theory : a =0.1 m) ^^ Numerical simulation (VIB model) A/2 A/9 (mm) A/2 (mm) (b) (a) FIGURE 1. Numerical simulation results of DCB test using the VIB model with the localization zone size, (a) h^^ = 0.0005m and (b) /;i=0.00025m. 727

The numerical simulations of the DCB are implemented with two different VIB element sizes {hi = 0.0005m, 0.00025m), with the same geometry and with the same constants in the bond potential. For the size of 0.0005m, the numerical result is plotted in Figure 1(a) with the LEFM analytical solution whose fracture energy is 164 N/m. Figure 1(b) illustrates the agreement of the numerical result and the analytical solution. The localization zone size is 0.00025m for the numerical simulation and the fracture energy is 82 N/m for the analytical solution of LEFM. These numerical results illustrate that the fracture energy is proportional to the localization zone size. Experimental Validation: Three-Point Bending Tests In order to validate the VIB model for concrete, the authors compare numerical results with the previous experimental results from the TPB tests, performed by Roesler et al. [15]. The geometry of the specimens is described in Figure 2, and experimental elastic and fracture properties are presented in Table 1. o '- \ L Thickness = 80mm T "" A L D (mm) L (mm) S (mm) ap (mm) 63 150 250 350 700 1100 250 600 1000 21 50 83 FIGURE 2. Geometry of specimens Based on the concrete properties, the constants in the modified Morse potential are evaluated by the numerical simulations of the pure tension test with the locahzation zone size of 0.5mm. Table 1 illustrates the calculated constants in the bonding potential. The exponent m increases with respect to the size. This is because the increase of specimen size produces larger total fracture energy with the fixed cohesive strength, which results in the shallow long-range potential. Moreover, this feature corresponds to the characteristics of the Morse potential; a larger value of m results in the longer range of the potential [11]. Figures 3 (a), (b) and (c) illustrate the correspondence between the numerical predictions of the VIB model and the experimental results for each specimen size with respect to the normalized load versus crack mouth opening displacement (CMOD) curves {P/tDft' - CMODft'/Gp). ' Numerical resutls Experimental data ^^ Numerical resutls Experimental data ^^ Numerical resutls Experimental data x^ t S; 0.05 CMOD/^'/G^ CMOD/^'/G^ CMOD/^'/G^ (a) (b) (c) f V- 9 0 5 10 0 5 10 0 5 10 FIGURE 3. Numerical predictions of load-cmod curves compared with experimental data: (a) specimen size D = 63mm, (b) specimen size D = 150mm, and (c) specimen size D = 250mm 728

TABLE 1. Material properties of each size of beam and the exponents in the bond potential with the localization zone size of 0.5mm D(mm) ^ (GPa) //(MPa) GpiN/m) a m 63 119 34 315 150 32 4.15 164 23 480 250 167 22 510 CONCLUSION The modified Morse potential is proposed for the bond potential in the VIB model. The modified potential function is independent of the lattice parameter (^J, and the VIB model characterizes both elastic and fracture behaviors. The elastic modulus, cohesive strength and fracture energy, which can be experimentally obtained, determine the bond density function and the modified Morse potential. The elastic modulus is associated with the bond density; and the cohesive strength and the fracture energy are evaluated by numerical simulations in conjunction with the localization zone size. The numerical simulation of the DCB test verifies that the fracture energy is proportional to the localization zone size for mode I fracture. In addition, the VIB model is vahdated by predicting the load-cmod curves of TPB experimental tests. The model parameters in the bond density potential are estimated by the experimental fracture parameters without any calibration. The numerical results of the VIB model correspond to the experimental data. Furthermore, the present framework could be extended to account for other physical interactions, e.g. friction or fiber bridging. ACKNOWLEDGMENT This study was supported by the Center of Excellence for Airport Technology, funded by the Federal Aviation Administration under Research Grant Number 95-C- 001, and the University of Ilhnois at Urbana-Champaign (UIUC). REFERENCES Z. p. Bazant, Fracture Mechanics of Concrete: Structural Application and Numerical Calculation, 1-49 (1985). X. P. Xu and A. Needleman, Journal of the Mechanics andphysics of Solids, 42, 1397-1434 (1994). G. T. Camacho and M. Ortiz, InternationalJournal of Solids and Structures, 33, 2899-2938 (1996). H. GaoandP. Klein, Journal of the Mechanics and Physics of Solids, 46, 187-218 (1998). P. Klein andh. Gao, Engineering Fracture Mechanics, 61, 21-48 (1998). E. B. Tadmor, M. Ortiz andr. Phillips, Philosophical Magazine A, 73, 1529-1563, (1996). H. Gao andb. Ji, Engineering Fracture Mechanics, 70, 1777-1791 (2003). G. Thiagarajan, K. J. Hsia and Y. Huang, Engineering Fracture Mechanics, 71, 401-423 (2004). T. D. Nguyen, S. Govindjee, P. A. Klein and H. Gao, Computer Methods in Applied Mechanics and Engineering, 193, 3239-3265 (2004). 10. P. Zhang, P. Klein, Y. Huang, H. Gao and P. D. Wu, Computer Modeling in Engineering & Sciences, 3, 263-277 (2002). 11. F. Milstein, Journal of Applied Physics, 44, 3825-3832 (1973). 12. L. A. Girifalco and V. G. ^eizer. Physical Review, 114, 687-690 (1959). 13. P. A. Klein, J. W. Foulk, E. P. Chen, S. A. Wimmer andh. Gao, Theoretical and Applied Fracture Mechanics, 37, 99-166 (2001). 14. J. R. Kice, Journal of Applied Mechanics, 35, 379-386 (1968). 15. J. R. Roesler, G. H Paulino, K. Park, and C. Gaedicke, Cement and Concrete Composites, 29, 300-312 (2007). 729