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ZENODO
Other ORP type . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Other ORP type . 2024
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2024
License: CC BY
Data sources: Datacite
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SIMULATION OF CRACK GROWTH IN MINI-C(T) FRACTURE TESTS IN THE DUCTILE-TO-BRITTLE TRANSITION USING A COHESIVE ZONE MODEL: APPLICATION TO REACTOR PRESSURE VESSEL STEELS

Authors: Somera, Audrey; Frederic, Perales; Vincent, Pierre-Guy;

SIMULATION OF CRACK GROWTH IN MINI-C(T) FRACTURE TESTS IN THE DUCTILE-TO-BRITTLE TRANSITION USING A COHESIVE ZONE MODEL: APPLICATION TO REACTOR PRESSURE VESSEL STEELS

Abstract

The goal of this study is to simulate crack growth in miniC(T) fracture tests using a Cohesive Zone Model (CZM) in order to derive the evolution of the toughness in the Ductile-to-Brittle Transition (DBT) region. The calibration method used is adapted from [1] and only requires low-temperature experiments. For a given temperature, it is assumed that the cohesive energy increases with the fracture probability, and that the shape of the CZM traction-separation law varies from a triangle to a trapezoid when the cohesive energy is greater than a value identified using elasto-plastic simulations. The cohesive parameters are determined using two calibration procedures. The first is performed using two experimental load-displacement curves. The second involves finding the cohesive energy leading to the right fracture toughness value given by the master curve for three different temperatures and two fracture probabilities. An exponential evolution of the cohesive energy with temperature is proposed. Cohesive energy is also assumed to depend on fracture probability.Simulations of mini-C(T) toughness tests are then performed for cumulative failure probabilities of 2%, 50% and 98% at different temperatures. A good agreement is observed between the toughness computed from the simulations and the master curve approach.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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