Numerical method to characterize probabilistic energy distribution of drop weight tear test at Ductile-Brittle transition temperatures

Ji Su Kim, Yun Jae Kim, Myeong Woo Lee, Ki Seok Kim, Kazuki Shibanuma

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This paper proposes a numerical method to characterize probabilistic energy distributions of drop weight tear tests (DWTTs) at ductile–brittle transition temperatures. The method employs finite element ductile–brittle fracture simulation using the stress-modified fracture strain model for ductile tearing and the maximum principal stress criterion for cleavage fracture. The probability of energy scatters is expressed using the two-parameter Weibull distribution in terms of the maximum principal stress. The maximum principal stress is then obtained as a function of the absorbed energy using FE simulation. The characterized energy scatters are compared with API X80 DWTT data at transition temperatures, showing good agreement. The proposed method can be used to effectively predict DWTT data at transition temperatures.

Original languageEnglish
Article number108540
JournalEngineering Fracture Mechanics
Volume269
DOIs
Publication statusPublished - 2022 Jun 15

Bibliographical note

Publisher Copyright:
© 2022 Elsevier Ltd

Keywords

  • Drop weight tear test
  • Ductile-brittle transition temperature
  • Finite element damage analysis
  • Probability prediction of DWTT energy

ASJC Scopus subject areas

  • General Materials Science
  • Mechanics of Materials
  • Mechanical Engineering

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