Xingkeng Shen , Hongmin Zhou , Yishang Zhang , Wei Liu , Mao Xu , Qiu Zhang , Ying Dai , Xinmin Chen
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引用次数: 0
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.
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.