Identifying crack tip position and stress intensity factors from displacement data

Gupta, Swati; West, Grant; Wilson, Mark Allen; Grutzik, Scott Joseph; Warner, Derek H.

doi:10.1007/s10704-023-00729-4

Identifying crack tip position and stress intensity factors from displacement data

Journal Article · Fri Jul 28 00:00:00 EDT 2023 · International Journal of Fracture

DOI:https://doi.org/10.1007/s10704-023-00729-4· OSTI ID:2311471

Gupta, Swati ^[1]; West, Grant ^[1]; Wilson, Mark Allen ^[2]; Grutzik, Scott Joseph ^[2]; Warner, Derek H. ^[1]

Cornell Univ., Ithaca, NY (United States)
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Fracture prognosis and characterization efforts require knowledge of crack tip position and the Stress Intensity Factors (SIFs) acting in the vicinity of the crack. Here, in this work, we present an efficient numerical approach to infer both of these characteristics under a consistent theoretical framework from noisy, unstructured displacement data. The novel approach utilizes the separability of the asymptotic linear elastic fracture mechanics fields to expedite the search for crack tip position and is particularly useful for noisy displacement data. The manuscript begins with an assessment of the importance of accurately locating crack tip position when quantifying the SIFs from displacement data. Next, the proposed separability approach for quickly inferring crack tip position is introduced. Comparing to the widely used displacement correlation approach, the performance of the separability approach is assessed. Cases involving both noisy data and systematic deviation from the asymptotic linear elastic fracture mechanics model are considered, e.g. inelastic material behavior and finite geometries. An open source python implementation of the proposed approach is available for use by those doing field and laboratory work involving digital image correlation and simulations, e.g. finite element, discrete element, molecular dynamics and peridynamics, where the crack tip position is not explicitly defined.

View Accepted Manuscript (DOE)

Research Organization:: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: NA0003525

OSTI ID:: 2311471

Report Number(s):: SAND--2023-08132J

Journal Information:: International Journal of Fracture, Journal Name: International Journal of Fracture Vol. 243; ISSN 0376-9429

Publisher:: SpringerCopyright Statement

Country of Publication:: United States

Language:: English

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36 MATERIALS SCIENCE
atomistic fracture
digital image correlation
displacement data
finding crack tip positions
fracture
separability approach
stress intensity factors

Identifying crack tip position and stress intensity factors from displacement data

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References (36)

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