pfm-cracks

A parallel-adaptive framework for phase-field fracture propagation[Formula presented]

verfasst von: Timo Heister, Thomas Wick
Abstract: This paper describes the main features of our parallel-adaptive open-source framework for solving phase-field fracture problems called pfm-cracks. Our program allows for dimension-independent programming in two- and three-dimensional settings. A quasi-monolithic formulation for the coupled two-component system of displacements and a phase-field indicator variable is used. The nonlinear problem is solved with a robust, efficient semi-smooth Newton algorithm. A highlight is adaptive predictor–corrector mesh refinement. The code is fully parallelized and scales to 1000 and more MPI ranks. Illustrative tests demonstrate the current capabilities, from which some are parts of benchmark collections.
Organisationseinheit(en): Institut für Angewandte Mathematik
Externe Organisation(en): Clemson University
Typ: Artikel
Journal: Software Impacts
Band: 6
Publikationsdatum: 11.2020
Publikationsstatus: Veröffentlicht
Peer-reviewed: Ja
ASJC Scopus Sachgebiete: Software
Elektronische Version(en): https://doi.org/10.1016/j.simpa.2020.100045 (Zugang: Offen)

BibTeX

@article{e2f6f4d61b7340919ebee9ec5738ca4a,
title = "pfm-cracks: A parallel-adaptive framework for phase-field fracture propagation[Formula presented]",
abstract = "This paper describes the main features of our parallel-adaptive open-source framework for solving phase-field fracture problems called pfm-cracks. Our program allows for dimension-independent programming in two- and three-dimensional settings. A quasi-monolithic formulation for the coupled two-component system of displacements and a phase-field indicator variable is used. The nonlinear problem is solved with a robust, efficient semi-smooth Newton algorithm. A highlight is adaptive predictor–corrector mesh refinement. The code is fully parallelized and scales to 1000 and more MPI ranks. Illustrative tests demonstrate the current capabilities, from which some are parts of benchmark collections.",
keywords = "Adaptivity, Open-source software, Parallel computing, Phase-field fracture, Primal–dual active set, Semi-smooth Newton",
author = "Timo Heister and Thomas Wick",
note = "Funding Information: We thank Katrin Mang, Daniel Jodlbauer, Sanghyun Lee, Nima Noii, and Meng Fan for contributions and discussions, and also financial support through the DFG (German Research Foundation) priority program SPP 1748 as well as the FWF (Austrian Science Fund) project P29181 . Moreover, past support through a Feodor-Lynen fellowship (years 2013–2014 at UT Austin) via the Humboldt foundation and the Center for Subsurface Modeling headed by Professor Mary Wheeler initiating this code is gratefully acknowledged. Moreover, designing and analyzing the governing mathematical models would not have been possible with our friend and colleague Professor Andro Mikeli{\'c}. Timo Heister was partially supported by the National Science Foundation (NSF) Award DMS-2028346 , OAC-2015848 , EAR-1925575 , by the Computational Infrastructure in Geodynamics initiative (CIG) , through the NSF under Award EAR-0949446 and EAR-1550901 and The University of California — Davis , and by Technical Data Analysis, Inc. through US Navy STTR Contract N68335-18-C-0011 ",
year = "2020",
month = nov,
doi = "10.1016/j.simpa.2020.100045",
language = "English",
volume = "6",
journal = "Software Impacts",
issn = "2665-9638",
publisher = "Elsevier BV",
}