Title :
Notice of Retraction
Fatigue life estimation considering strengthening of low amplitude loads using grey model
Author :
Fang-Jun Zuo ; Huiying Gao ; Zhiqiang Lv ; Liping He ; Hong-Zhong Huang
Author_Institution :
Sch. of Mech., Electron., & Ind. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
For the usual failure mode of structural components under variable loading, fatigue life prediction is very important for the selection, design, and safety assessments of these components. The linear damage model (Miner´s rule) is used most widely for life prediction in practical engineering application. However, the fatigue damage caused by small loads cannot be ignored, especially when the load is near the constant amplitude of fatigue limit of a component. In the paper we use grey model to predict fatigue Life. The model improves the application of the traditional Miner rule, by considering the damaging and strengthening of low amplitude loads, under low amplitude loading strengthening.
Keywords :
failure analysis; fatigue; grey systems; life testing; structural engineering; Miner rule; failure mode; fatigue life estimation; fatigue linear damage model; grey model; low amplitude load strengthening; safety assessments; structural components; structure variable loading; Fatigue; Life estimation; Load modeling; Mathematical model; Nickel; Predictive models; Stress; AUGM (1, 1); fatigue life; uncertainty;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-1014-4
DOI :
10.1109/QR2MSE.2013.6625719