Teilprojekt P6 - Fracture in Thermoplastics: Discrete-to-Continuum

Drittmittelfinanzierte Gruppenförderung - Teilprojekt

Details zum übergeordneten Gesamtprojekt

Titel des Gesamtprojektes: Skalenübergreifende Bruchvorgänge: Integration von Mechanik, Materialwissenschaften, Mathematik, Chemie und Physik (FRASCAL)

Sprecher/in des Gesamtprojekts:
Prof. Dr.-Ing. Paul Steinmann (Lehrstuhl für Technische Mechanik)

Details zum Projekt

Dr.-Ing. Sebastian Pfaller
Prof. Dr. Ana-Suncana Smith

Beteiligte FAU-Organisationseinheiten:
Lehrstuhl für Technische Mechanik
Professur für Theoretische Physik
Zentralinstitut für Scientific Computing (ZISC)

Mittelgeber: DFG / Graduiertenkolleg (GRK)
Akronym: GRK2423 - P6
Projektstart: 02.01.2019
Projektende: 30.06.2023


Lehrstuhl für Technische Mechanik
Lehrstuhl für Technische Mechanik

Abstract (fachliche Beschreibung):

Nanocomposites have great potential for various applications since their
properties may be tailored to particular needs. One of the most
challenging fields of research is the investigation of mechanisms in
nanocomposites which improve for instance the fracture toughness even at
very low filler contents. Several failure processes may occur like
crack pinning, bi-furcation, deflections, and separations. Since the
nanofiller size is comparable to the typical dimensions of the monomers
of the polymer chains, processes at the level of atoms and molecules
have to be considered to model the material behaviour properly. In
contrast, a pure particle-based description becomes computationally
prohibitive for system sizes relevant in engineering. To overcome this,
only e.g. the crack tip shall be resolved to the level of atoms or
superatoms in a coarse-graining (CG) approach.

Thus, this project aims to extend the recently developed multiscale
Capriccio method to adaptive particle-based regions moving
within the continuum. With such a tool at hand, only the vicinity of a
crack tip propagating through the material has to be described at CG
resolution, whereas the remaining parts may be treated continuously with
significantly less computational effort.

Zuletzt aktualisiert 2019-19-03 um 14:47