Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/94238
PIRA download icon_1.1View/Download Full Text
Title: Model-driven fatigue crack characterization and growth prediction : a two-step, 3-D fatigue damage modeling framework for structural health monitoring
Authors: Xu, L 
Wang, K 
Yang, X 
Su, Y 
Yang, J 
Liao, Y 
Zhou, P 
Su, Z 
Issue Date: 1-Apr-2021
Source: International journal of mechanical sciences, 1 Apr. 2021, v. 195, 106226
Abstract: Prevailing fatigue damage evaluation approaches that make use of the acoustic nonlinearity of guided ultrasonic waves (GUWs) are sustained by simplified models, most of which depict three-dimensional (3-D) fatigue damage in a two-dimensional (2-D) domain [1]. Such approximation risks the evaluation accuracy. With such motivation, this study aspires to a new, two-step modeling framework, aimed at accurately characterizing and continuously monitoring fatigue damage, from its embryonic initiation, through progressive growth to formation of macroscopic crack. In the first step, a 3-D, analytical model based on the theory of elastodynamics sheds light on the generation of contact acoustic nonlinearity in GUWs under the modulation of `breathing' behavior of a non-penetrating fatigue crack, on which basis a crack-area-dependent nonlinear damage index is yielded. In the second step, a 3-D fatigue crack growth model predicts the continuous growth of the identified fatigue crack in the length and depth along crack front. The framework is validated using numerical simulation, followed with experiment, in both of which the initiation and progressive growth of a real corner fatigue crack is monitored, with continuous prediction of the crack growth in length and depth. Results have demonstrated the accuracy and precision of the developed modeling framework for characterizing embryonic fatigue damage.
Keywords: Contact acoustic nonlinearity
Crack growth
Fatigue crack
Non-penetrating crack
Structural health monitoring
Publisher: Pergamon Press
Journal: International journal of mechanical sciences 
ISSN: 0020-7403
EISSN: 1879-2162
DOI: 10.1016/j.ijmecsci.2020.106226
Rights: © 2020 Elsevier Ltd. All rights reserved.
© 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
The following publication Xu, L., et al. (2021). "Model-driven fatigue crack characterization and growth prediction: A two-step, 3-D fatigue damage modeling framework for structural health monitoring." International Journal of Mechanical Sciences 195: 106226 is available at https://dx.doi.org/10.1016/j.ijmecsci.2020.106226.
Appears in Collections:Journal/Magazine Article

Files in This Item:
File Description SizeFormat 
Xu_Model-Driven_Fatigue_Crack.pdfPre-Published version3.05 MBAdobe PDFView/Open
Open Access Information
Status open access
File Version Final Accepted Manuscript
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

51
Last Week
1
Last month
Citations as of May 5, 2024

Downloads

24
Citations as of May 5, 2024

SCOPUSTM   
Citations

26
Citations as of Apr 26, 2024

WEB OF SCIENCETM
Citations

22
Citations as of May 2, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.