scholarly journals Fracture Nucleation Phenomena and Thermally Activated Crack Dynamics in Monocrystals

2021 ◽  
Vol 13 (1) ◽  
pp. 42
Author(s):  
Leonardo Golubović ◽  
Dorel Moldovan
Keyword(s):  
Monte Carlo ◽  
Crack Growth ◽  
Growth Process ◽  
Physical Review ◽  
Thermally Activated ◽  
Stochastic Nature ◽  
Monte Carlo Dynamics ◽  
Crack Dynamics ◽  
Dynamics Simulations ◽  
Fracture Nucleation

We explore irreversible thermally activated growth of cracks which are shorter than the Griffith length. Such a growth was anticipated in several studies [Golubović, L. & Feng, S., (1991). Rate of microcrack nucleation, Physical Review A 43, 5223. Golubović, L. & Peredera, A., (1995).  Mechanism of time-delayed fractures, Physical Review E 51, 2799]. We explore this thermally activated growth by means of atomistic Monte-Carlo dynamics simulations of stressed monocrystals. This crack growth is stepwise. Each step is marked by nucleation of a microcavity close to the crack tip, and by creation of a passage connecting the microcavity and the crack. If the external tensile stress is weak, many such nucleation events occur before the crack length reaches the Griffith size. In addition to the simulations, we also present an analytic theory of the stepwise thermally activated crack growth. The theory explains surprising observation form our simulations that the thermally activated crack growth remains fairly well directed in spite of the stochastic nature of the crack growth process.

Thermally activated repolarization of antiferromagnetic particles: Monte Carlo dynamics

2017 ◽  
Vol 50 (6) ◽  
pp. 065002
Author(s):  
S V Soloviev ◽  
A F Popkov ◽  
A A Knizhnik ◽  
I M Iskandarova
Keyword(s):  
Monte Carlo ◽  
Thermally Activated ◽  
Monte Carlo Dynamics

scholarly journals FAILURE PROGNOSTICS BY A DATA-DRIVEN SIMILARITY-BASED APPROACH

2013 ◽  
Vol 20 (01) ◽  
pp. 1350001 ◽  
Author(s):  
FRANCESCO DI MAIO ◽  
ENRICO ZIO
Keyword(s):  
Monte Carlo ◽  
Crack Propagation ◽  
Crack Growth ◽  
Nonlinear Model ◽  
Particle Filtering ◽  
Growth Process ◽  
Estimation Method ◽  
Data Driven ◽  
Structural Components ◽  
Failure Prognostics

This paper presents a data-driven, similarity-based approach for prognostics of industrial and structural components. The potentiality of the approach is demonstrated on a problem of crack propagation, taken from literature. The crack growth process is described by a nonlinear model affected by nonadditive noises. A comparison is provided with an existing Monte Carlo-based estimation method, known as particle filtering.

scholarly journals Unfolding of Globular Proteins: Monte Carlo Dynamics of a Realistic Reduced Model

2003 ◽  
Vol 85 (5) ◽  
pp. 3271-3278 ◽  
Author(s):  
Andrzej Kolinski ◽  
Piotr Klein ◽  
Piotr Romiszowski ◽  
Jeffrey Skolnick
Keyword(s):  
Monte Carlo ◽  
Globular Proteins ◽  
Reduced Model ◽  
Monte Carlo Dynamics

Finite element model for crack growth process in concrete bituminous

2012 ◽  
Vol 44 (1) ◽  
pp. 35-43 ◽  
Author(s):  
F. Dubois ◽  
R. Moutou-Pitti ◽  
B. Picoux ◽  
C. Petit
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Crack Growth ◽  
Growth Process ◽  
Element Model ◽  
Crack Growth Process
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