Reliability analysis on resonance fatigue life of fuel piping system

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue Pub Date : 2025-03-06 DOI:10.1016/j.ijfatigue.2025.108912

Xingkeng Shen , Hongmin Zhou , Yishang Zhang , Wei Liu , Mao Xu , Qiu Zhang , Ying Dai , Xinmin Chen

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Abstract

The fuel piping system is vital for fuel transportation and the corresponding reliability is the necessary prerequisite for the normal operation of aero engines. Given the broad frequency range of external excitations, structural resonance of the fuel piping system is unavoidable, often leading to structural fatigue failure. This paper aims to elucidate the mechanisms of fatigue failure and establish a framework for probabilistic fatigue life assessment of the fuel piping system under prolonged resonance excitation. Firstly, sweep frequency and resonance fatigue tests of fuel piping system are conducted to determine the resonance frequencies, resonance strain responses and corresponding fatigue lives. The accuracy and effectiveness of the finite element model, as well as previously established fatigue life models for the components of the piping system, are then validated through deterministic modal and implicit dynamic analysis. Subsequently, a distributed collaborative (DC) probabilistic analysis method, based on the cross-validation (CV)-Voronoi sequential sampling approach for Kriging surrogate model (DC-CV-Voronoi-KSM), is proposed for reliability analysis of resonance fatigue. The novelty of this method lies in the use of the CV-Voronoi method as a sequential sampling approach for constructing a global Kriging surrogate model, with the DC strategy employed to reduce the complexity of Kriging model. Finally, the DC-CV-Voronoi-KSM method is adopted to conduct reliability analysis on the resonance fatigue of the fuel piping system, yielding the distribution of resonance responses and the load cycle-failure probability curve, which provides significant guidance for the application of fuel piping systems on aero engines.

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燃油管路系统共振疲劳寿命可靠性分析

燃油管路系统是燃油输送的重要部件，其可靠性是航空发动机正常运行的必要前提。由于外界激励的频率范围很宽，燃油管路系统的结构共振是不可避免的，常常导致结构疲劳失效。本文旨在阐明燃油管路系统在长时间共振激励下的疲劳失效机理，建立燃油管路系统疲劳寿命概率评估框架。首先，对燃油管路系统进行扫描频率和共振疲劳试验，确定其共振频率、共振应变响应和相应的疲劳寿命。然后，通过确定性模态和隐式动态分析验证了有限元模型的准确性和有效性，以及先前建立的管道系统部件疲劳寿命模型。随后，基于Kriging代理模型（DC-CV-Voronoi- ksm）的交叉验证(CV)-Voronoi序贯抽样方法，提出了一种用于共振疲劳可靠性分析的分布式协同（DC）概率分析方法。该方法的新颖之处在于使用CV-Voronoi方法作为序贯抽样方法构建全局Kriging代理模型，并采用DC策略降低了Kriging模型的复杂度。最后，采用DC-CV-Voronoi-KSM方法对燃油管路系统的共振疲劳进行可靠性分析，得到了谐振响应分布和载荷循环失效概率曲线，为燃油管路系统在航空发动机上的应用提供了重要指导。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Fatigue 工程技术-材料科学：综合

CiteScore

10.70

自引率

21.70%

发文量

619

审稿时长

58 days

期刊介绍： Typical subjects discussed in International Journal of Fatigue address: Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements) Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions) Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation) Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering Smart materials and structures that can sense and mitigate fatigue degradation Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.