This thesis is a part of a larger project that focuses on the development of a highspeed, high energy flywheel using both high-tech composites and levitating magneticbearings alongside a custom made, permanent magnetized generator built into theflywheel itself. The goal of the project is then to integrate this flywheel into anelectrical vehicle.The main focus of this thesis is the composite material. The composite is to be usedas a shell around the flywheel rotor. This composite shell fills two purposes. The firstis to act as the main energy carrying material, storing above 75% of the total energy inthe flywheel. The second purpose it to strengthen the machine, holding it together.This so that higher speeds than normally possible can be achieved, with the goal beingset to 30 000rpm.In order to be able to design the composite shell correctly a method of calculating theload stresses had to be developed. This was done by the creation of a Matlabprogram, named Spin2Win, capable of calculating the stresses inside a compositemetal hybrid flywheel. Using said Matlab code, combined with modelling andsimulations from SolidWorks, a fully-fledged flywheel was designed complete withdrawings and material specifications.The composite analysis surprisingly shows that the best combination of compositematerials is a mixture of both high strength carbon fibres alongside softer glass fibrescoupled with the weight of the central core. This allowed for control of the radialstresses which was shown to otherwise be the limiting factor when designing rotatingcomposite materials.One of the most interesting, and perhaps even unique, parts of the design is that theelectrical machine has been integrated into the flywheel’s composite shell. Having thetwo entities working together in order to control the radial stresses in thecomposite, by utilizing the weight of the permanent magnets.

Die Arbeit widmet sich der Simulation und der Prognose des Materialverhaltens des Hochleistungsverbundwerkstoffes Textilbeton unter Zugbeanspruchungen. Basierend auf einer hierarchischen mechanischen Modellbildung (Multi-Skalen-Analyse) werden die Tragmechanismen des Verbundwerkstoffes auf drei Strukturebenen abgebildet. Damit lassen sich die den Verbundwerkstoff charakterisierenden mechanischen Kenngrößen aus experimentell ermittelten Kraft-Verschiebungs-Abhängigkeiten ableiten. Diese Kenngrößen sind mit heutiger Messtechnik nicht direkt experimentell bestimmbar. Es wird ein Mikro-Meso-Makro-Prognosemodell (MMM-Prognosemodell) für Textilbeton entwickelt, das basierend auf der Simulation des Mikrostrukturverhaltens das makroskopische Materialverhalten prognostiziert. Die Grundlage dafür bildet die qualitative und quantitative Bestimmung der Verbundeigenschaften zwischen der Filamentbewehrung und der einbettenden Matrix. Für das Verbundverhalten von Rovings in einer Feinbetonmatrix wird, ausgehend von einer Rovingapproximation mit superelliptischem Querschnitt, die partielle Imprägnierung des Rovings und die daraus resultierende Verbundwirkung identifiziert und simuliert. Auf Grundlage der mikro- und mesomechanischen Modelle sowie der Kalibrierung und Verifizierung des MMM-Prognosemodells durch die Simulation von Filament- und Rovingauszugsversuchen wird das makroskopische Zugverhalten von Textilbeton mit Mehrfachrissbildung prognostiziert. Die numerischen Ergebnisse werden durch die Ergebnisse der experimentellen Dehnkörperversuche validiert. Das MMM-Prognosemodell für Textilbeton wird im Rahmen einer hierarchischen Multi-Skalen-Analyse auf Zugversuche von Textilbetonbauteilen angewendet. Weiterhin wird die Verstärkungswirkung einer Textilbetonschicht an Stahlbetonbauteilen unter Biegebeanspruchung zutreffend simuliert. Es wird das nichtlineare Bauteilverhalten abgebildet, wobei die Bauteildurchbiegung, die effektiven Rovingbeanspruchungen und die Beanspruchungen der Filamente im Roving abgebildet werden. / The present work deals with the simulation and the prediction of the effective material behavior of the high performance composite textile reinforced concrete (TRC) subjected to tension. Based on a hierarchical material model within a multi scale approach the load bearing mechanisms of TRC are modeled on three structural scales. Therewith, the mechanical parameters characterizing the composite material can be deduced indirectly by experimentally determined force displacement relations obtained from roving pullout tests. These parameters cannot be obtained by contemporary measuring techniques directly. A micro-meso-macro-prediction model (MMM-PM) for TRC is developed, predicting the macroscopic material behavior by means of simulations of the microscopic and the mesoscopic material behavior. The basis is the qualitative and quantitative identification of the bond properties of the roving-matrix system. The partial impregnation of the rovings and the corresponding varying bond qualities are identified to characterize the bond behavior of rovings in a fine-grained concrete matrix. The huge variety of roving cross-sections is approximated by superellipses on the meso scale. The macroscopic behavior of TRC subjected to tension including multiple cracking of the matrix material is correctly predicted on the basis of the micro- and meso-mechanical models. The calibration and verification of the MMM-PM is performed by simulations of roving pullout tests, whereas a first validation is carried out by a comparison of the numerical predictions with the experimental data from tensile tests. The MMM-PM for TRC is applied to tensile tests of structural members made of TRC. Furthermore, a steel-reinforced concrete plate strengthened by a TRC layer is accurately simulated yielding the macroscopic deflection of the plate, the mesoscopic stress state of the roving and the microscopic stresses of the filaments.