journal article·2021-09

Fatigue crack growth prediction model under variable amplitude loading conditions

Menghan Li, Xin Liu, Zhenguo Li, Yingbo Zhang

Publisher page

Abstract

Crack size prediction under variable amplitude loading is a very complex process, which is also important for life prediction in engineering. A crack growth model considering different stress ratio for fatigue remaining life prediction is proposed in this paper. The model utilizes stress ratio to describe the variable loading sequences, which makes the calculation greatly simplified. The rain-flow method is utilized to characterize the load sequence effects under variable amplitude loading. In addition, particle filter is utilized to estimate the model parameters describing the crack growth. Finally, case study indicates that the proposed approach is efficient in predicting crack growth and fatigue remaining life.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Fatigue and fracture mechanics · Infrastructure Maintenance and Monitoring · Structural Health Monitoring Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Energy and Environmental Engineering, Hebei University of Technology, Tianjin, China

National Engineering Laboratory for Mobile Source Emission Control Technology, China Automotive Technology & Research Center Co., Ltd., Tianjin, China

Institute of Medical Support Technology, Academy of Systems Engineering, Academy of Military Science of PLA, Tianjin, China

Funding

Natural Science Foundation of Hebei Province

References (15)

Show source-provided references
1. Ahmed M, Ullah H amd Rauf A (2016). Fracture mechanics based fatigue life estimation of axial compressor blade. In: 13th international Bhurban conference on applied sciences and technology , Islamabad, Pakistan, 12–16 January, pp. 69–74.10.1109/IBCAST.2016.7429856 ↗
2. 10.1016/j.ress.2013.02.01910.1016/j.ress.2013.02.019 ↗
3. 10.4028/www.scientific.net/AMM.372.29210.4028/www.scientific.net/AMM.372.292 ↗
4. 10.1016/j.matdes.2010.01.03910.1016/j.matdes.2010.01.039 ↗
5. 10.1016/j.tafmec.2016.04.00410.1016/j.tafmec.2016.04.004 ↗
6. 10.1016/j.proeng.2014.06.27610.1016/j.proeng.2014.06.276 ↗
7. 10.1016/j.ijfatigue.2018.04.02610.1016/j.ijfatigue.2018.04.026 ↗
8. Dirik H, Yalçinkaya T (2016) Fatigue crack growth under variable amplitude loading through XFEM. In: 21st European conference on fracture , Catania, Italy, 20–24 June 2016, pp. 3073–3080.10.1016/j.prostr.2016.06.384 ↗
9. 10.1016/j.ijfatigue.2007.03.00410.1016/j.ijfatigue.2007.03.004 ↗
10. 10.3901/CJME.2012.04.81610.3901/CJME.2012.04.816 ↗
11. 10.1016/j.ijfatigue.2015.10.00710.1016/j.ijfatigue.2015.10.007 ↗
12. 10.1177/168781401666674710.1177/1687814016666747 ↗
13. 10.1016/j.probengmech.2010.09.00210.1016/j.probengmech.2010.09.002 ↗
14. Stutzmann J, Ziegler L, Muskulus M (2017) Fatigue crack detection for lifetime extension of monopile-based offshore wind turbines. In: 14th deep sea offshore wind R&D conference , Trondheim, Norway, 18–20 January 2017, pp. 143–151.10.1016/j.egypro.2017.10.341 ↗
15. 10.3901/CJME.2015.0104.00210.3901/CJME.2015.0104.002 ↗