Fatigue Life Estimation Considering Damaging and Strengthening of Low amplitude Loads under Different Load Sequences Using Fuzzy Sets Approach

By Shun‐Peng Zhu, Hongzhong Huang, Zhonglai Wang. 2011

91 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/acf10632e8b6d1d0761863e817e4893f703683ee

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. J. Correia
2. Rcs Freire Júnior
3. Abílio M. P. de Jesus
4. J. Barbosa
5. Marcello Cabibbo
6. E. Santecchia
7. Hongzhong Huang
8. Shun‐Peng Zhu

In Mechanical Engineering

1. Shun‐Peng Zhu
2. J. Correia
3. J. Barbosa
4. Abílio M. P. de Jesus
5. Rcs Freire Júnior
6. Marcello Cabibbo
7. E. Santecchia
8. Y. Liu

In Mechanics of Materials

1. Shun‐Peng Zhu
2. J. Correia
3. J. Barbosa
4. Abílio M. P. de Jesus
5. Rcs Freire Júnior
6. Marcello Cabibbo
7. E. Santecchia
8. Hongzhong Huang

Citations in the corpus

• A Review on Fatigue Life Prediction Methods for Metals (2016, methodology): “[92] used the fuzzy set method to predict the fatigue life of specimen under loadings slightly lower than the fatigue limit, accounting for strengthening and damaging effects, as well as for the load sequence and load interaction.”
• A generalized energy-based fatigue–creep damage parameter for life prediction of turbine disk alloys (2012, background): “The cyclic stress–strain response is an important material property in designing for enhanced fatigue resistance [28].”
• Probabilistic S-N fields based on statistical distributions applied to metallic and composite materials: State of the art (2019, methodology): “The logistic distribution adapted to model the S-N curve is given by equation (8)”