Prediction of multiple fatigue crack growth based on modified Paris model with particle filtering framework-Reference-Cited by-同舟云学术

Prediction of multiple fatigue crack growth based on modified Paris model with particle filtering framework

Published:2023-05 Issue: Volume:190 Page:110124
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Wang Li,Zhang Chao,Tao Chongcong,Ji Hongli,Yang Yu,Qiu Jinhao

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference39 articles.

1. Airframe Structural Design-Practical Design Information and Data on Aircraft Structures;Niu,1988

2. Opportunities and challenges of aircraft structural health monitoring;Sun;Acta Aeronaut Aeronaut Sinica.,2014

3. A critical analysis of crack propagation laws;Paris;J Basic Eng,1963

4. The practical use of fracture mechanics;David,1989

5. Numerical analysis of crack propagation in cyclic-loaded structures;Forman;J Basic Eng,1967

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