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Structural Engineering and Mechanics
  Volume 66, Number 2, April25 2018, pages 151-160
DOI: http://dx.doi.org/10.12989/sem.2018.66.2.151
 


Strain energy-based fatigue life prediction under variable amplitude loadings
Shun-Peng Zhu, Peng Yue, Jose Correia, Sergio Blason, Abilio De Jesus and Qingyuan Wang

 
Abstract
    With the aim to evaluate the fatigue damage accumulation and predict the residual life of engineering components under variable amplitude loadings, this paper proposed a new strain energy-based damage accumulation model by considering both effects of mean stress and load interaction on fatigue life in a low cycle fatigue (LCF) regime. Moreover, an integrated procedure is elaborated for facilitating its application based on S-N curve and loading conditions. Eight experimental datasets of aluminum alloys and steels are utilized for model validation and comparison. Through comparing experimental results with model predictions by the proposed, Miner\'s rule, damaged stress model (DSM) and damaged energy model (DEM), results show that the proposed one provides more accurate predictions than others, which can be extended for further application under multi-level stress loadings.
 
Key Words
    fatigue; life prediction; mean stress; load interaction; S-N curve
 
Address
Shun-Peng Zhu:
1) Institute of Reliability Engineering, School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
2) Key Laboratory of Deep Earth Science and Engineering, Ministry of Education, Sichuan University, Chengdu 610065, China
Peng Yue:
1) Institute of Reliability Engineering, School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
2) Bazhong Professional Technology College, Bazhong 636000, China
Jose Correia and Abilio De Jesus: INEGI, Faculty of Engineering, University of Porto, Porto 4200-465, Portugal
Sergio Blason: Department of Construction and Manufacturing Engineering, University of Oviedo, Gijon 33203, Spain
Qingyuan Wang:
1) Key Laboratory of Deep Earth Science and Engineering, Ministry of Education, Sichuan University, Chengdu 610065, China
2) School of Architecture and Civil Engineering, Chengdu University, Chengdu 610106, China
 

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