225
Views
2
CrossRef citations to date
0
Altmetric
Article

Determination of the tensile and fracture properties of ductile materials by small punch testing

, , &
Pages 735-743 | Received 18 Aug 2020, Accepted 01 Dec 2020, Published online: 31 Dec 2020
 

ABSTRACT

The uniaxial tensile and fracture properties are the basic data for the structural integrity assessment of ductile material. In this study, the stress-strain relations of ductile materials are predicted by the SPT-related stress-strain relation (SPT-SR) model directly through SPT experiment, which agree with the relations determined by the finite-element-analysis aided testing (FAT) method. Further, the experimental procedures of SPT are simulated by combining the Gurson-Tvergaard-Needleman (GTN) model and the predicted stress-strain relations. The parameters of GTN model can be determined when the simulated load-displacement curves of SPT specimens coincide with the experimental results. Finally, the ductile crack propagation behaviors of the single edge-notched bending (SEB) specimens are simulated utilizing the calibrated GTN model, and the corresponding J resistance curves are successfully predicted via the normalization method.

Acknowledgments

The authors gratefully acknowledge financial support from the key projects of the National Natural Science Foundation of China (Grant no. is 11632001), and the Innovative Development Foundation of Chinese Academy of Engineering Physics (Grant no. is PY20200046).

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 97.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.