Computational Methods for Debonding in Composites

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56 R. Rolfes et al. 12. Hughes TJR (2003) Efficient and simple algorithms for the integration of general classes of inelastic constitutive equations including damage and rate effects. In: Hughes TJR, Belytschko T (eds) Nonlinear Finite Element Analysis Course Notes, Zace Services Ltd., Lausanne 13. Juhasz TJ, Rolfes R, Rohwer K (2001) A new strength model for application of a physically based failure criterion to orthogonal 3D fiber reinforced plastics. Compos Sci Technol 61:1821–1832 14. Karkkainen RL, Sankar BV (2006) A direct micromechanics method for analysis of failure initiation of plain weave textile composites. Compos Sci Technol 66:137–150 15. Kim HJ, Swan CC (2003) Voxel-based meshing and unit-cell analysis of textile composites. Int J Numer Methods Eng 56:977–1006 16. Lemaitre J, Chaboche JL (1988) Mécanique des matériaux solides. Dunod 17. Lomov SV, Belov EB, Bischoff T et al. (2002) Carbon composites based on multiaxial multiply stitched preforms. Part I - Geometry of the preform. Compos Part A 33:1171–1183 18. Rogers TG (1987) Yield criteria, flow rules and hardening in anisotropic plasticity. In: Boehler JP (ed) Yielding, Damage and Failure of Anisotropic Solids, Volume 5, pages 53–79. EGF Publication, Mechanical Engineering Pubns Ltd., Bury St. Edmunds 19. Rolfes R, Ernst G, Hartung D, Teßmer J (2006) Strength of textile composites - A voxel based continuum damage mechanics approach. In: Mota Soares CA, Martins JAC, Rodrigues HC, Ambrosio JAC (eds) Computational Mechanics - Solids, Structures and Coupled Problems, pages 497–520. Springer, Lisbon 20. Schröder J (1995) Theoretische und algorithmische Konzepte zur phänomenologischen Beschreibung anisotropen Materialverhaltens. Ph.D. thesis, Universität Hannover 21. Simo JC, Hughes TJR (1998) Computational Inelasticity. Springer, New York 22. Takano N, Uetsuji Y, Kashiwagi Y, Zako M (1999) Hierarchical modelling of textile composite materials and structures by the homogenization method. Model Simul Mater Sci Eng 7: 207–231
Chapter 3 Practical Challenges in Formulating Virtual Tests for Structural Composites Brian N. Cox, S. Mark Spearing, and Daniel R. Mumm Abstract Taking advantage of major recent advances in computational methods and the conceptual representation of failure mechanisms, the modeling community is building increasingly realistic models of damage evolution in structural composites. The goal of virtual tests appears to be reachable, in which most (but not all) real experimental tests can be replaced by high fidelity computer simulations. The payoff in reduced cycle time and costs for designing and certifying composite structures is very attractive; and the possibility also arises of considering material configurations that are too complex to certify by purely empirical methods. However, major challenges remain, the foremost being the formal linking of the many disciplines that must be involved in creating a functioning virtual test. Far more than being merely a computational simulation, a virtual test must be a system of hierarchical models, engineering tests, and specialized laboratory experiments, organized to address the assurance of fidelity by applications of information science, model-based statistical analysis, and decision theory. The virtual test must be structured so that it can function usefully at current levels of knowledge, while continually evolving as new theories and experimental methods enable more refined depictions of damage. To achieve the first generation of a virtual test system, we must pay special attention to unresolved questions relating to the linking of theory and experiment: how can we assure that damage models address all important mechanisms, how can we calibrate the material properties embedded in the models, and what constitutes sufficient validation of model predictions? The virtual test definition must include real tests that are designed in such a way as to be rich in the information needed to B.N. Cox Teledyne Scientific Co., LLC, 1049 Camino Dos Rios, Thousand Oaks, CA 91360, United States of America, e-mail: bcox@teledyne.com S.M. Spearing School of Engineering Sciences, University of Southampton, Southampton, SO17 1BJ, United Kingdom, e-mail: spearing@soton.ac.uk D.R. Mumm University of California, Irvine, CA, United States of America, e-mail: mumm@uci.edu 57
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Mechanical Response of Composites
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Pedro P. Camanho • C.G. Dávila S
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Preface The methodology for designi
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Acknowledgements The Editors of thi
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x Contents 3 Practical Challenges i
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xii Contents 8.2.4 Modelling Effect
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xiv Contents 13.1.2 EffectiveProper
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xvi List of Contributors Clara Schu
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Chapter 1 Computational Methods for
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1 Computational Methods for Debondi
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8 A Numerical Material Model for Pr
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180 N. Zobeiry et al. There are sev
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182 N. Zobeiry et al. for construct
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184 N. Zobeiry et al. In compressio
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186 N. Zobeiry et al. c = 38.7 mm h
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188 N. Zobeiry et al. displacement
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194 N. Zobeiry et al. References 1.
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Chapter 10 Elastoplastic Modeling o
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10 Elastoplastic Modeling of Multi-
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224 J.A. Oliveira et al. 11.1 Intro
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228 J.A. Oliveira et al. asymptotic
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232 J.A. Oliveira et al. (a) (b) Fi
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234 J.A. Oliveira et al. Fig. 11.7
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236 J.A. Oliveira et al. Fig. 11.10
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238 J.A. Oliveira et al. (a) (b) (c
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240 J.A. Oliveira et al. (a) (b) (c
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242 J.A. Oliveira et al. 20. Suquet
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258 E. Lund and L.S. Johansen 12.6
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260 E. Lund and L.S. Johansen 34. T
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14 Development of DST for the Model
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312 H. Miled et al. 9. Carreau P, D
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