Impact Factor:2.1

DOI number:10.2514/1.J062959

Journal:AIAA Journal

Abstract:Nonplanar crack growth holds a critical role in aeronautical structures, necessitating effective analysis under mixed fatigue loading to assess structural integrity. This study introduces a reduced-order modeling (ROM) method for predicting nonplanar crack growth in structural digital twins. The method’s advantage lies in its representation of the entire crack surface morphology using a B-spline surface, which better captures its impact on crack growth. The symmetric Galerkin boundary element method–finite element method coupling method is adopted as a full-order method to generate the crack database. Isoparametric coordinates of the crack surface and stress intensity factor serve as input and output, respectively, for training the ROM, which integrates K-means clustering, principal component analysis, and Gaussian process regression. The proposed approach is demonstrated using a rotorcraft-mast-like component. Results reveal superior fracture mechanics parameter prediction compared to the crack-front-based ROM. Furthermore, the method boasts three orders of magnitude greater efficiency than full-order simulation, enabling its coupling with approaches like Monte Carlo for probabilistic crack growth analysis. Future work entails integrating our method into the probabilistic framework of digital twins.

Co-author:Xuan Zhou*,Shuangxin He,Chaoyang Wang,Leiting Dong*,Satya N. Atluri

First Author:Fubin Zhao

Indexed by:Journal paper

First-Level Discipline:Aeronautical and Astronautical Science and Technology

Document Type:J

Volume:62

Issue:1

Page Number:360-373

Translation or Not:no

Date of Publication:2024-01-01

Included Journals:SCI

Links to published journals:https://arc.aiaa.org/doi/10.2514/1.J062959