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影响因子：2.1
DOI码：10.2514/1.J062959
发表刊物：AIAA Journal
摘要：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.
合写作者：周轩*,贺双新,汪朝阳,董雷霆*,Satya N. Atluri
第一作者：赵福斌
论文类型：期刊论文
一级学科：航空宇航科学与技术
文献类型：期刊
卷号：62
期号：1
页面范围：360-373
是否译文：否
发表时间：2024-01-01
收录刊物：SCI
发布期刊链接：https://arc.aiaa.org/doi/10.2514/1.J062959