Fatigue life prediction of notched specimens under size effect using CP-FFT: application to Ni-based superalloy GH4169
Abstract
Fatigue behavior of Ni-based superalloy GH4169 is significantly influenced by the microstructural characteristics and notch effect. In this study, a microstructure sensitive multiscale modelling framework is developed to investigate the size effect on the fatigue behavior of Ni-based superalloy GH4169 notched components. By integrating crystal plasticity theory with FFT-based computational homogeniza-tion framework, the proposed approach captures the grain-level mechanical response under cyclic load-ing. Specifically, fatigue life prediction is performed using the FIP extracted from RVE accounting for local stress concentration effect. Moreover, to reduce the sensitivity of FIP to discretization effect, a non-local averaging approach is introduced. To explore the probabilistic dispersion of fatigue failure, FIPs obtained from multiple microstructural realizations are analyzed using Gumbel distribution and statistical assessments are conducted to evaluate fatigue life distribution. Finally, the predicted results are compared with experimental data, demonstrating the reliability of the proposed methodology in pre-dicting the notch and size effects from probabilistic aspect.
Shun-Peng Zhu
Professor
Ph.D, Professor, Doctoral Supervisor, PIF Fellow of Politecnico di Milano, Italy since April 2016 and research associate at University of Maryland, United States from 2010 to 2011. His research which has been published in scholarly journals and edited volumes, over 100 peer-reviewed book chapters, journals and proceedings papers, explores the aspects: Fatigue assessment; Probabilistic Physics of Failure modeling; reliability and risk analysis; Multi-physics damage modeling and life prediction under uncertainty; Multi-scale uncertainty quantification and propagation; Bayesian inference and Fuzzy sets; Probability-based life prediction/design for engineering components/materials. Dr. Zhu also studies advanced numerical methods for uncertainty quantification in engineering. He received the Award of Merit of European Structural Integrity Society (ESIS)-TC12 in 2019, Most Cited Chinese Researchers (Elsevier) in the field of Safety, Risk, Reliability and Quality since 2018, 2nd prize of the National Defense Science and Technology Progress Award of Ministry of Industry and Information Technology of China in 2014, Polimi International Fellowship in 2015, Hiwin Doctoral Dissertation Award in 2012, Best Paper Awards of several international conferences and Elsevier Outstanding Reviewer Status. He serves as guest editor, editorial board member of several international journals and Springer book series, Organizing Committee Co-Chair of the International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2013), TPC Member of ICMR 2015, ICMFM XIX 2018-2020 and IRAS 2019.