Reliability analysis of bending fatigue life of hydraulic pipeline

Xingkeng Shen, Kaixuan Feng, Heming Xu, Guangqiang Wang, Yishang Zhang, Ying Dai and Wanying Yun

Reliability Engineering and System Safety, 2023, vol. 231, issue C

Abstract: Fatigue failure caused by high pressure of fluid and external vibration seriously affects the performance and reliability of hydraulic pipelines. Probabilistic fatigue life assessment can quantify failure probability and fully utilize the performance of pipeline. The objective of this paper is to develop an effective reliability method to analyze the bending fatigue life of hydraulic pipeline combining with fatigue tests. Firstly, three-point bending fatigue experiments of pipelines are conducted to establish probabilistic-based life models by linear variance regression analysis. Then the established formulas are further verified by the combined results of deterministic finite element analysis and cantilever bending fatigue experiment of hydraulic pipelines. Successive AK-MCS based on ESC is proposed for the fatigue reliability analysis of hydraulic pipelines. The main novelty of successive AK-MCS is that a training information sharing strategy is designed to estimate the failure probabilities under different load cycles. The effectiveness and feasibility of the proposed method is verified by comparing the results of fatigue reliability analysis on cantilever pipeline under an internal pressure of 28Â MPa with traditional AK-MCS. Lastly, the influence of internal pressure and survival probability on the relationship between load cycle and failure probability of the cantilever hydraulic pipeline are further discussed.

Keywords: Cantilever hydraulic pipeline; Bending fatigue; Reliability analysis; Successive AK-MCS based on ESC (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:231:y:2023:i:c:s0951832022006342

DOI: 10.1016/j.ress.2022.109019

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