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Session Details

MS18-2: Virtual Analysis and Design of New Materials (Ganzes Minisymposium anzeigen)

Thursday, 12. October 2017; 13:30 - 15:30 Uhr in Raum 7.31
Sitzungsleitung: Loredana Kehrer

13:30
Experimental methods to validate modeling of fiber reinforced materials (Keynote)
Markus Sause (University of Augsburg)

Kurzfassung:
This contribution provides insight to some methods that provide an experimental data basis for modeling of material constituents on microscopic scale and their interaction. This covers the use of versatile full-field methods to improve the cross-validation, to obtain fiber dispersion, topology and orientation, the use of micromechanical techniques and application of in-situ methods to analyze damage progression as function of external load.


14:10
Influence of the tape number on the optimized structural performance of locally reinforced composite structures
Benedikt Fengler (Karlsruhe Institute of Technology (KIT)), Luise Kärger (Karlsruhe Institute of Technology (KIT)), Andrew Hrymak (University of Western Ontario)

Kurzfassung:
For lightweight applications, a combination of discontinuous and continuous fiber reinforced polymers is aspired, where position, geometry and orientation of the reinforcing continuous fiber tape needs to be optimized. Therefore, the proposed approach combines an evolutionary algorithm with a structural simulation in the FE software Abaqus. With this method, the influence of different tape numbers on the optimized tape design as well as on the final structural performance is demonstrated.


14:30
Virtual tests based on model reduction strategies for fatigue analysis
Mainak Bhattacharyya (Leibniz Universität Hannover), Amelie Fau (Leibniz Universität Hannover), Udo Nackenhorst (Leibniz Universität Hannover), David Néron (Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay), Pierre Ladevèze (Ecole Normale Supérieure Paris-Saclay, Université Paris-Saclay)

Kurzfassung:
Virtual tests for fatigue considering a large number of cycles in perspective of continuum damage mechanics are generally avoided due to numerical expense. To tackle this problem, a Proper Generalised Decomposition model reduction technique in time and space, and a multi-time scale approach are proposed. These innovations used in a non-incremental LATIN framework, reduce the computational cost drastically and can be contemplated to perform virtual analysis of high-cycle fatigue tests.


14:50
Experimental and Numerical Analysis of Deep Drawing and Failure Characteristics for Sheet Metal/Polymer Hybrid Structure
Henrik Schulze (Leibniz Universität Hannover), B.-A. Behrens (Leibniz Universität Hannover), A. Bouguecha (Leibniz Universität Hannover), Christian Bonk (Leibniz Universität Hannover)

Kurzfassung:
Lightweight component design is an everlasting matter in the automotive as well as the aviation industry. To face the challenges concerning lightweight like damping effects or increasing the load-bearing capacity, one approach is the development of new hybrid materials. For these layered structures an extensive material characterization including failure analysis with regard to the influence on the deep drawing process is carried out and the results are used as input for the numerical modelling.


15:10
High-performance model order reduction techniques in non-linear multiscale fracture problems
Manuel Alejandro Caicedo Silva (Universitat Politècnica de Catalunya (UPC)), Javier Oliver (Universitat Politècnica de Catalunya (UPC)), Alfredo E. Huespe (Universidad del Litoral), Oriol Lloberas-Valls (Universitat Politècnica de Catalunya (UPC))

Kurzfassung:
In this work presents a strategy to diminish the computational cost of a hierarchical (FE2) multi-scale computational homogenization approach for fracture problems is presented. Focusing on concepts as Reduced Order Modeling (ROM) based on the POD and optimal integration quadrature techniques, a hyper-reduced order modeling (HPROM) method is specifically derived. This model departs from the multi-scale framework developed in (Oliver/2015) for the numerical modeling of failure.