% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @PHDTHESIS{Holthusen:963830, author = {Holthusen, Hagen}, othercontributors = {Reese, Stefanie and Kuhl, Ellen}, title = {{M}odeling and numerics of anisotropic and inelastic materials: plasticity, damage and growth}, school = {Rheinisch-Westfälische Technische Hochschule Aachen}, type = {Dissertation}, address = {Aachen}, publisher = {RWTH Aachen University}, reportid = {RWTH-2023-07973}, pages = {1 Online-Ressource : Illustrationen, Diagramme}, year = {2023}, note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen University; Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2023}, abstract = {There has been tremendous technological progress, both in the manufacturing of ever more sophisticated materials and in the steadily increasing computational power. Thus, materials showing a pronounce kind of anisotropy -- initially and/or induced -- found their way into various fields of engineering applications. On the one hand, for example, fusion deposition modeling as used in 3D printing creates materials that behave anisotropically to increase load-bearing capacity. On the other hand, the power of modern computers enables numerical simulations that provide deeper insights into the underlying material behavior. However, in order to accurately predict material behavior while keeping the computational time cost relatively low, continuum mechanical models are needed that are capable of capturing a broad spectrum of anisotropy, in particular those anisotropic effects caused by various inelastic material behaviors. In this regard, almost all materials, regardless of whether they are non-living or living, undergo inelastic deformation at some point. May it be irreversible deformation, rate dependence, degradation up to failure or even growth of living organisms. Macroscopically, all of these phenomena can cause the material to behave anisotropically if it did not already do so initially. For instance, the material's stiffness might fail completely in one direction due to microcracks, while being less degraded in another direction. Further well-known inelastic effects might be caused by anisotropic yield criteria such as Hill's one, or even by kinematic (plastic strain) hardening. In addition, one of the currently most challenging topics in continuum mechanics is the modeling of (direction-dependent) growth of biological tissues. From a continuum mechanical point of view, all these phenomena are modeled based on two essential concepts: The multiplicative decomposition of the deformation gradient and structural tensors. Besides theoretical modeling, numerical implementation can be highly challenging as well and is known to be error-prone due to the complexity typically associated with such models. Therefore, the continuum mechanical framework employed should be designed in such a way that it can be easily implemented in algorithmic differentiation (AD) tools to enable robust and efficient computations. This cumulative dissertation is intended to make a valuable contribution in this regard. The overall objective is to develop generic continuum mechanical formulations for inelastic phenomena associated with anisotropy in a geometrically nonlinear context. Therefore, a compilation of several publications by the author (and his co-authors) is presented. These should contribute to the development of more advanced material models in the future. In the beginning of this thesis the motivation, the research relevant questions and a comprehensive literature overview regarding the state-of-the-art are presented. After this introductory part, the first paper deals with initially anisotropic materials such as fiber reinforced plastics. For the fiber, different failure mechanisms under tensile or compressive loadings are taken into account, while for the matrix isotropic damage coupled to plasticity is considered. Therefore, in addition to the initial anisotropy, further anisotropic effects arise due to the involved tension-compression asymmetry as well as the change in the stiffness ratio between fiber and matrix. Since three scalar (local) damage variables are used in this work, each of them is gradient-extended using the micromorphic approach to obtain mesh-independent results. The entire framework is formulated in a geometrically nonlinear sense and investigated using several numerical simulations. Thereafter, the following three articles address the anisotropy induced by plasticity and anisotropic damage within initially isotropic materials. As in the first work, a `two-surface' approach is employed to treat plasticity and damage as independent but strongly coupled mechanisms. The governing equations are described in logarithmic strain space using an additive split, while damage is represented by a symmetric second order tensor. Moreover, the proposed framework satisfies the damage growth criterion, which prevents the model from artificial stiffening effects. Once again, the micromorphic approach is used, whereas the damage tensor's invariants are gradient-extended. Several representative structural examples are examined to investigate the model's ability to provide mesh-independent results in uniaxial and multiaxial settings, as well as two- and three-dimensional boundary value problems. The last two articles of this dissertation deal with the combination of the multiplicative decomposition and AD in the context of biomechanics. For this purpose, a co-rotated configuration of the intermediate configuration is introduced, which shares the same characteristics with the intermediate configuration, but is uniquely defined. Thus, it can be implemented using AD in an efficient and physically sound manner. In addition, the concept of structural tensors, an additional split of the inelastic part of the deformation gradient and hardening effects are discussed in a thermodynamically consistent manner. The stress-driven kinematic growth model, which is formulated in terms of the co-rotated configuration, utilizes the concept of homeostatic surfaces to describe growth and remodeling processes of soft biological tissues. In this regard, two parallel decompositions of the deformation gradient are employed, in order to treat direction-dependent and independent constituents separately. Moreover, remodeling of collagen fibers is taken into account in a stress-driven manner. The model is fully implemented using AD using an implicit approach. The predicted growth and remodeling behavior is compared with experiments found in literature and agrees qualitatively well with these data.}, cin = {311510}, ddc = {624}, cid = {$I:(DE-82)311510_20140620$}, typ = {PUB:(DE-HGF)11}, doi = {10.18154/RWTH-2023-07973}, url = {https://publications.rwth-aachen.de/record/963830}, }