Modeling of temperature influence on the fatigue crack growth behavior of superalloys-Reference-Cited by-同舟云学术

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Modeling of temperature influence on the fatigue crack growth behavior of superalloys

Published:2018-05 Issue: Volume:110 Page:22-30
ISSN:0142-1123
Container-title:International Journal of Fatigue
language:en
Short-container-title:International Journal of Fatigue

Author:

Huang Dawei,Yan Xiaojun,Li Peiyuan,Qin Xiaoyu,Zhang Xiaoyong,Qi Mingjing,Liu Zhiwei

Funder

Ministry of Industry and Information Technology of China

National Natural Science Foundation of China

111 Project

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials,General Materials Science,Modeling and Simulation

Reference21 articles.

1. Probabilistic damage tolerance analysis on turbine disk through experimental data

2. Prediction of fatigue crack growth and residual life using an exponential model: Part II (mode-I overload induced retardation)

3. Influence of orientation and temperature on the fatigue crack growth of a nickel-based directionally solidified superalloy

4. Fatigue crack growth behavior of a newly developed Ni–Co-base superalloy TMW-2 at elevated temperatures

5. Crack growth behaviour of a nickel-based powder metallurgy superalloy under elevated temperature

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A combined cyclic viscoplasticity and entropy generation approach for modelling fatigue crack growth behavior of a nickel-based superalloy at high temperature;Engineering Fracture Mechanics;2024-05

2. Estimation of stress intensity factor for surface cracks in the firtree groove structure of turbine disk using pool-based active learning with Gaussian Process Regression;Journal of Theoretical and Applied Mechanics;2024-01-12

3. Sensitive Temperature and Reason of Rapid Fatigue Crack Propagation in Nickel-Based Superalloy;ACTA METALL SIN;2023

4. A study on the fatigue crack growth behaviour of GTM718 nickel based super alloy under cold-TURBISTAN spectrum loads;Theoretical and Applied Fracture Mechanics;2022-08

5. Active learning-based KNN-Monte Carlo simulation on the probabilistic fracture assessment of cracked structures;International Journal of Fatigue;2022-01

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