Probability-based service safety life prediction approach of raw and treated turbine blades regarding combined cycle fatigue

Author:

Han Lei,Chen Cao,Guo Tongyue,Lu Cheng,Fei ChengweiORCID,Zhao Yongjun,Hu Yan

Funder

Fudan University

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference44 articles.

1. A combined high and low cycle fatigue model for life prediction of turbine blades;Zhu;Materials,2017

2. A cumulative damage theory for fatigue life prediction;Ben-Amoz;Eng. Fract. Mech.,1990

3. Multi-extremum-modified response basis model for nonlinear response prediction of dynamic turbine blisk;Keshtegar;Eng. Comput.,2021

4. Advancement of experimental methods and Cailletaud material model for life prediction of gas turbine blades exposed to combined cycle fatigue;Thiele,2013

5. Effects of aluminizing and combined strengthening on the fatigue property of K403 superalloy component under combined high and low cycle loading;Han;Int. J. Fatigue,2019

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