PSI - Issue 22

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Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2019) 000 – 000 Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2019) 000 – 000

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Procedia Structural Integrity 22 (2019) 211–218

© 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the First International Symposium on Risk and Safety of Complex Structures and Components organizers © 2019 The Authors. Published by Elsevier B.V.This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the First International Symposium on Risk and Safety of Complex Structures and Components organizers Abstr ct Original backward stat stica inference method (BSIM) was mproved (h r further termed as ISIA) to fit th fatigue probabilistic S-N ( P-S-N ) curve with fi ite life data or small sampl problem. Based on the search path, th novel schem captures the optimal parameters that can fficiently establish the quanti ativ r lationship between the life distribution and stress levels. Meanwhil , the equivalent live at differe str ss levels can be obtained through the conversion of fatigue life. To formula e the more realistic P S-N curve f full-size compo en s, the life distribution effect of small-size specimens can be considered when fitting curves. Results show hat th l pe and intercept of newly-proposed fatigue P-S-N curve by using the ISIA for ( X-x-x-x ) type life data exhibit a relative error less than 3%, and the predicted fatigue life is approximately 5% of the grou method (TGM). On the other hand, predicted life is only 0.1% of ( x-x-x-x ) typ lif data by the classical meth d (TCM). For the welded stru tures widely used in high speed railway vehicles, the present ISIA can achieve more conservative and reliable life predictions. It is thus concluded that the newly-proposed ISIA can not only ensure the accuracy of life distribution particularly during high cycle fatigue regime but also acquire more conservative P-S-N curv as opposed to sta dard methods such as TGM and TCM. © 2019 The Authors. Publ shed by Elsev er B.V.This is an open access article u er the CC BY-NC-ND li ense (http://cr a ivecommons.org/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the First International Symposium on Risk and Safety of Complex Structures and Components org nizers Abstract Original backward statistical inference method (BSIM) was improved (here further termed as ISIA) to fit the fatigue probabilistic S-N ( P-S-N ) curve with finite life data or small sample problem. Based on the search path, the novel scheme captures the optimal parameters that can efficiently establish the quantitative relationship between the life distribution and stress levels. Meanwhile, the equivalent lives at different stress levels can be obtained through the conversion of fatigue life. To formulate the more realistic P S-N curve of full-size components, the life distribution effect of small-size specimens can be considered when fitting curves. Results show that the slope and intercept of newly-proposed fatigue P-S-N curve by using the ISIA for ( X-x-x-x ) type life data exhibit a relative error less than 3%, and the predicted fatigue life is approximately 5% of the group method (TGM). On the other hand, the predicted life is only 0.1% of ( x-x-x-x ) type life data by the classical method (TCM). For the welded structures widely used in high speed railway vehicles, the present ISIA can achieve more conservative and reliable life predictions. It is thus concluded that the newly-proposed ISIA can not only ensure the accuracy of life distribution particularly during high cycle fatigue regime but also acquire more conservative P-S-N curve as opposed to standard methods such as TGM and TCM. Keywords: Small sample; Fatigue life; Probabilistic fatigue; Welded structures; High-speed railway. First International Symposium on Risk and Safety of Complex Structures and Components Improved backward fatigue statistical inference to the high-speed railway vehicle components First International Symposium on Risk and Safety of Complex Structures and Components Improved backward fatigue statisti al infer ce to the high-speed railway vehicle components S.C. Wu a, *, C.H. Li a , G.Z. Kang a , L.Y. Xie b , W.H. Zhang a a State Key Lab. of Traction Power, Southwest Jiaotong University, Chengdu 610031, PR China b College of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, PR China S.C. Wu a, *, C.H. Li a , G.Z. Kang a , L.Y. Xie b , W.H. Zhang a a State Key Lab. of Traction Power, Southwest Jiaotong University, Chengdu 610031, PR China b College of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, PR China

Keywords: Small sample; Fatigue life; Probabilistic fatigue; Welded structures; High-speed railway.

* Corresponding author. Tel.: +86-183-4915-4280; fax: +86-183-4915-4280. E-mail address: wusc@swjtu.edu.cn

2452-3216 © 2019 The Authors. Published by Elsevier B.V.This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review statement: Peer-review under responsibility of the First International Symposium on Risk and Safety of Complex Structures and Components organizers 2452-3216 © 2019 The Authors. Published by Elsevier B.V.This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Peer-review statement: Peer-review under responsibility of the First International Symposium on Risk and Safety of Complex Structures and Components organizers * Corresponding author. Tel.: +86-183-4915-4280; fax: +86-183-4915-4280. E mail address: wusc@swjtu.edu.cn

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