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Robust Determination of Fatigue Crack Propagation Thresholds from Crack Growth Data

Schönherr, Josef Arthur ; Duarte, Larissa ; Madia, Mauro ; Zerbst, Uwe ; Geilen, Max Benedikt ; Klein, Marcus ; Oechsner, Matthias (2022):
Robust Determination of Fatigue Crack Propagation Thresholds from Crack Growth Data. (Publisher's Version)
In: Materials, 15 (14), MDPI, e-ISSN 1996-1944,
DOI: 10.26083/tuprints-00021867,
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Item Type: Article
Origin: Secondary publication DeepGreen
Status: Publisher's Version
Title: Robust Determination of Fatigue Crack Propagation Thresholds from Crack Growth Data
Language: English
Abstract:

The robust determination of the threshold against fatigue crack propagation ΔKth is of paramount importance in fracture mechanics based fatigue assessment procedures. The standards ASTM E647 and ISO 12108 introduce operational definitions of ΔKth based on the crack propagation rate da/dN and suggest linear fits of logarithmic ΔK– da/dN test data to calculate ΔKth. Since these fits typically suffer from a poor representation of the actual curvature of the crack propagation curve, a method for evaluating ΔKth using a nonlinear function is proposed. It is shown that the proposed method reduces the artificial conservativeness induced by the evaluation method as well as the susceptibility to scatter in test data and the influence of test data density.

Journal or Publication Title: Materials
Volume of the journal: 15
Issue Number: 14
Place of Publication: Darmstadt
Publisher: MDPI
Collation: 21 Seiten
Uncontrolled Keywords: fatigue crack propagation threshold, ISO 12108, ASTM E647, data evaluation methods, experimental determination
Classification DDC: 500 Naturwissenschaften und Mathematik > 540 Chemie
600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften
Divisions: 16 Department of Mechanical Engineering > Center for Engineering Materials, State Materials Testing Institute Darmstadt (MPA) Chair and Institute for Materials Technology (IfW)
Date Deposited: 05 Aug 2022 11:06
Last Modified: 01 Sep 2022 12:47
DOI: 10.26083/tuprints-00021867
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-218672
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/21867
PPN: 498753069
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