Dynamic reliability of aircraft hydraulic pipelines under random pressure pulsation and vibration

Liu, Wei; Liu, Yongshou; Yue, Zhufeng

doi:10.1108/15736101011095154

Cited by 7 publications

(5 citation statements)

References 11 publications

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“…γ and Z c are dependent on s, and on the physical properties of the pipe flow and pipeline parameters. Equations (9) and (10) are the basic equations to represent the hydraulic vibration characteristics of the water flow in pressurized pipelines, which is used for vibration mode analysis. For a given pipe segment with length l (as in Figure 1), the piezometric head and flow rate in the frequency domain are also defined as H 1 and Q 1 for the upstream end, and H 2 and Q 2 for the downstream end; therefore, the natural boundary condition can be rewritten as follows:…”

Section: Stochastic Mathematical Model Of Hydraulic Vibrationmentioning

confidence: 99%

“…Duan et al [9] pointed out that probabilistic analysis of hydraulic transients could be helpful for prudent design of new water supply systems and risk/reliability evaluation of existing systems. Liu et al [10,11] provided a quantitative evaluation method for random pressure pulsation and external vibration of hydraulic pipelines based on reliability. A parameter estimation methodology for water distribution systems was proposed and the uncertainties in the estimated variables and resulting nodal pressure predictions were quantified in terms of confidence limits [12].…”

Section: Introductionmentioning

confidence: 99%

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Discussion on Stochastic Analysis of Hydraulic Vibration in Pressurized Water Diversion and Hydropower Systems

Zhou

Chen

2018

Water

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Hydraulic vibration exists in various water conveyance projects and has resulted in different operating problems, but its obvious effects on system's pressure head and stable operation have not been definitively addressed in the issued codes for engineering design, especially considering the uncertainties of hydraulic vibration. After detailed analysis of the randomness in hydraulic vibration and the commonly used stochastic approaches, in the basic equations for hydraulic vibration analysis, the random parameters and the formed stochastic equations were discussed for further probabilistic characteristic analysis of the random variables. Furthermore, preliminary investigation of the stochastic analysis of hydraulic vibration in pressurized pipelines and possible self-excited vibration in pumped-storage systems was presented for further consideration. The detailed discussion indicates that it is necessary to conduct further and systematic stochastic analysis of hydraulic vibration. Further, with the obtained frequencies and amplitudes in the form of a probability statement, the stochastic characteristics of various hydraulic vibrations can be investigated in detail and these solutions will be more reasonable for practical applications. Eventually, the stochastic analysis of hydraulic vibration will provide a basic premise to introduce its effect into the engineering design of water diversion and hydropower systems.

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Section: Stochastic Mathematical Model Of Hydraulic Vibrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Discussion on Stochastic Analysis of Hydraulic Vibration in Pressurized Water Diversion and Hydropower Systems

Zhou

Chen

2018

Water

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“…Sazesh and Shams (2019) used the Galerkin method to discretize the motion equation of the cantilever pipeline and then analyzed the vibration response with white noise excitation as the random load. Liu et al (2010) calculated the mean square deviation of dynamic stress under white noise excitation of pump source, based on frequency response function and obtained the displacement and stress responses of pipelines. Rafiee and Sharifi (2019) used the step feature of random response to analyze the random vibration of composite pipes based on the ABAQUS spectrum analysis module.…”

Section: Introductionmentioning

confidence: 99%

Vibration response analysis and hoop layout optimization of spatial pipeline under random excitation

Wang

Sun

Gao

et al. 2022

AEAT

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Purpose In many cases, the external pipelines of aero-engine are subjected to random excitation. The purpose of this paper is to reduce the vibration response of the pipeline system effectively by adjusting the hoop layout. Design/methodology/approach In this paper, a spatial pipeline supported by multi-hoops is taken as the object, the methods of solution of the vibration response of the pipeline system by using pseudo excitation and hoop layouts optimization with amplitude reduction of vibration response as the goal are presented. First, the finite element model of the spatial pipeline system is presented. Then, an optimization model spatial pipeline is established. Finally, a case study is carried out to prove the rationality of the random vibration response analysis of the pipeline system. Furthermore, the proposed optimization model and genetic algorithm are applied to optimize the hoop layout. Findings The results show that the maximum response variance after optimization is reduced by 32.8%, which proves the rationality of the developed hoop layout optimization method. Originality/value The pseudo excitation method is used to solve the vibration response of aero-engine pipeline system, and the optimization of the hoop layout for aero-engine spatial pipelines under random excitation to reduce random vibration response is studied systematically.

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“…Deng (2019) discussed the effects of internal fluid velocity and hydrostatic pressure on phase velocity during wave propagation in submerged pipe conveying fluid. Liu et al (2010) proposed a quantitative evaluation method for pulsation and vibration problems based on reliability, and analyzed the dynamic pressure reliability of hydraulic pipelines by adopting the first-passage failure criterion and fatigue damage accumulation failure criterion. In dynamic reliability and sensitivity analysis on the pipe conveying fluid, some researchers also have been doing some valuable works.…”

Section: Introductionmentioning

confidence: 99%

Dynamic reliability and variance-based global sensitivity analysis of pipes conveying fluid with both random and convex variables

Chen

Wang

Guo³

et al. 2020

Self Cite

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Purpose This paper aims to solve the problem that pipes conveying fluid are faced with severe reliability failures under the complicated working environment. Design/methodology/approach This paper proposes a dynamic reliability and variance-based global sensitivity analysis (GSA) strategy with non-probabilistic convex model for pipes conveying fluid based on the first passage principle failure mechanism. To illustrate the influence of input uncertainty on output uncertainty of non-probability, the main index and the total index of variance-based GSA analysis are used. Furthermore, considering the efficiency of traditional simulation method, an active learning Kriging surrogate model is introduced to estimate the dynamic reliability and GSA indices of the structure system under random vibration. Findings The variance-based GSA analysis can measure the effect of input variables of convex model on the dynamic reliability, which provides useful reference and guidance for the design and optimization of pipes conveying fluid. For designers, the rankings and values of main and total indices have essential guiding role in engineering practice. Originality/value The effectiveness of the proposed method to calculate the dynamic reliability and sensitivity of pipes conveying fluid while ensuring the calculation accuracy and efficiency in the meantime.

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Dynamic reliability of aircraft hydraulic pipelines under random pressure pulsation and vibration

Cited by 7 publications

References 11 publications

Discussion on Stochastic Analysis of Hydraulic Vibration in Pressurized Water Diversion and Hydropower Systems

Discussion on Stochastic Analysis of Hydraulic Vibration in Pressurized Water Diversion and Hydropower Systems

Vibration response analysis and hoop layout optimization of spatial pipeline under random excitation

Dynamic reliability and variance-based global sensitivity analysis of pipes conveying fluid with both random and convex variables

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