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research-article

Constraint assessment for specimens tested under uniaxial and biaxial loading conditions

[+] Author and Article Information
Yupeng Cao

Shanghai Nuclear Engineering Research and Design Institute, Department of Component Research and Design, Shanghai, China
caoyupeng@snerdi.com.cn

Guian Qian

Paul Scherrer Institute, Laboratory for Nuclear Materials, Villigen PSI, Switzerland; State Key Laboratory for Nonlinear Mechanics (LNM), Institute of Mechanics, Chinese Academy of Sciences, Beijing 100080, China
guian.qian@psi.ch

Yinbiao He

Shanghai Nuclear Engineering Research and Design Institute, Department of Component Research and Design, Shanghai, China
yinbiaohe728@snerdi.com.cn

Markus Niffenegger

Paul Scherrer Institute, Laboratory for Nuclear Materials, Villigen PSI, Switzerland
markus.niffenegger@psi.ch

Yuh J. Chao

University of South Carolina, Department of Mechanical Engineering, Columbia, USA
chao@sc.edu

1Corresponding author.

ASME doi:10.1115/1.4039346 History: Received August 13, 2017; Revised January 30, 2018

Abstract

In the integrity analysis of a reactor pressure vessel (RPV), a postulated shallow crack is subjected to biaxial far-field stresses. However, the fracture toughness Kc or Jc, which is an important material property for the integrity assessment of RPVs, is usually tested with deeply-cracked compact tension [C(T)] or single-edged bending [SE(B)] specimens under uniaxial loading. Thus, the fracture toughness data do not reflect the biaxial loading state that cracks in a RPV are subjected to. Cruciform bending specimen was therefore developed to simulate the biaxial stress state. In this paper, a series of finite element (FE) simulations of the cruciform specimens containing different crack geometries and of different material properties are conducted. The crack tip constraint is investigated using the J-A2 theory and the stress field near the crack tips is analyzed. The results show that the biaxial effect is material property dependent. This can contribute to the lifetime prediction of RPVs as well as better design of cruciform specimens and the optimization of the test method.

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