Publication detail

A probabilistic crack band model for quasibrittle fracture

LE, J. ELIÁŠ, J.

Original Title

A probabilistic crack band model for quasibrittle fracture

Type

journal article in Web of Science

Language

English

Original Abstract

This paper presents a new crack band model (CBM) for probabilistic analysis of quasi-brittle fracture. The model is anchored by a probabilistic treatment of damage initiation, localization, and propagation. This model regularizes the energy dissipation of a single material element for the transition between damage initiation and localization. Meanwhile, the model also takes into account the probabilistic onset of damage localization inside the finite element (FE) for the case where the element size is larger than the crack band width. The random location of the localization band is related to the random material strength, whose statistics is described by a finite weakest link model. The present model is applied to simulate the probability distributions of the nominal strength of different quasibrittle structures. It is shown that for quasibrittle structures direct application of the conventional CBM for stochastic FE simulations would lead to mesh-sensitive results. To mitigate such mesh dependence, it is essential to incorporate the strain localization mechanism into the formulation of the sampling distribution functions of material constitutive parameters.

Keywords

probabilstic analysis, model, finite element method, quasibrittle structures

Authors

LE, J.; ELIÁŠ, J.

Released

23. 2. 2016

ISBN

0021-8936

Periodical

JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME

Year of study

83

Number

5

State

United States of America

Pages from

1

Pages to

7

Pages count

7

BibTex

@article{BUT133240,
  author="Jia-Liang {Le} and Jan {Eliáš}",
  title="A probabilistic crack band model for quasibrittle fracture",
  journal="JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME",
  year="2016",
  volume="83",
  number="5",
  pages="1--7",
  doi="10.1115/1.4032692",
  issn="0021-8936"
}