Publication detail

On a computational stress-based non-local damage model for quasi-brittle composites

VALA, J. KOZÁK, V.

Original Title

On a computational stress-based non-local damage model for quasi-brittle composites

Type

conference paper

Language

English

Original Abstract

Numerical models for the stress and strain analysis of quasi-brittle composites, such as cement-based ones, supplied by various stiffening particles, under mechanical, thermal, etc. loads should handle i) the creation of certain micro-damaged zones, antecedent to ii) the initiation and propagation of a system of macroscopic cracks. Whereas ii) can be analysed using some extended, generalized or similar finite element technique (XFEM, GFEM, etc. algorithms), i) must rely on a smeared crack formulation, whose regularization properties are derived from a non-local stress evaluation. This paper studies mathematical and computational properties of such model, based on the Eringen’s approach, useful in many applications in civil engineering.

Keywords

quasi-brittle composites; smeared damage; computational modelling

Authors

VALA, J.; KOZÁK, V.

Released

18. 1. 2023

Publisher

Elsevier

Location

Amsterdam

ISBN

978-1-7138-6907-8

Book

MSMF 10 Proceedings

ISBN

2452-3216

Periodical

Procedia Structural Integrity

Year of study

43

Number

1

State

Republic of Italy

Pages from

59

Pages to

64

Pages count

6

URL

https://www.sciencedirect.com/science/article/pii/S2452321622007983

Full text in the Digital Library

http://hdl.handle.net/11012/213722

BibTex

@inproceedings{BUT180719,
  author="Jiří {Vala} and Vladislav {Kozák}",
  title="On a computational stress-based non-local damage model for quasi-brittle composites",
  booktitle="MSMF 10 Proceedings",
  year="2023",
  journal="Procedia Structural Integrity",
  volume="43",
  number="1",
  pages="59--64",
  publisher="Elsevier",
  address="Amsterdam",
  doi="10.1016/j.prostr.2022.12.235",
  isbn="978-1-7138-6907-8",
  issn="2452-3216",
  url="https://www.sciencedirect.com/science/article/pii/S2452321622007983"
}