Technical Papers
Dec 11, 2019

3D Grain-Based Mesoscale Modeling of Short Fatigue Crack Growth for Bridge Weldments Considering Crack-Front Evolution

Publication: Journal of Engineering Mechanics
Volume 146, Issue 2

Abstract

To evaluate short crack growth and fatigue damage accumulation in steel structures, efforts have been made based on a two-dimensional (2D) grain-based model for fatigue life assessment under variable amplitude loads. However, crack arrested in a 2D field could be problematic since the arrested 2D crack might propagate toward the out-of-plane direction. In addition, the pure plane stress/plain assumption in 2D simulation could not be applied to many complex stress states. In this paper, a three-dimensional (3D) fatigue damage estimation model is proposed based on a twofold nonlinear grain-based fatigue life assessment method. The persistent slip band based short fatigue crack growth model is implemented in this model combined with Miner’s rule for grain fatigue accumulation evaluations. Rain-flow counting method and the linear damage rule in grains are employed for fatigue damage growth within each grain. Meanwhile, in the grain and subgrain regime, the crack is assumed to nucleate and grow along with persistent slip bands. Also, an adjacent persistent slip band detection algorithm is developed to locate the potential crack propagation path. Therefore, fatigue damage is calculated grain by grain until the crack length reaches the characteristic length (such as over 0.1 mm), where linear elastic fracture mechanics (LEFM) thoery becomes more reliable. Sensitivity analysis is conducted for the number of grains and the element size in statistical volume element model under constant amplitude loads. Finally, a case study is performed to demonstrate the proposed method for variable amplitude loads, and the results are compared with the 2D model results in the literature.

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Acknowledgments

This material is based on work supported by the National Science Foundation [NSF Grant Civil, Mechanical and Manufacturing Innovation (CMMI-1537121)] and Research Excellence Program (REP) from the Office of the Vice President for Research (OVPR) of the University of Connecticut. These supports are greatly appreciated. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the sponsors.

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Journal of Engineering Mechanics
Volume 146Issue 2February 2020

History

Received: Sep 9, 2018
Accepted: Jul 8, 2019
Published online: Dec 11, 2019
Published in print: Feb 1, 2020
Discussion open until: May 11, 2020

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Dongping Zhu, S.M.ASCE
Ph.D. Candidate, Dept. of Civil and Environmental Engineering, Univ. of Connecticut, Storrs, CT 06269.
Wei Zhang, M.ASCE [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Connecticut, Storrs, CT 06269 (corresponding author). Email: [email protected]
Graduate Student, Dept. of Civil and Environmental Engineering, Univ. of Connecticut, Storrs, CT 06269. ORCID: https://orcid.org/0000-0002-1425-3522
Xiaogang Huang, Ph.D.
Graduate Student, Key Laboratory of Concrete and Prestressed Concrete Structures of the Ministry of Education, Southeast Univ., Nanjing 211189, China.

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