Reliability analysis of anti-pressure fluctuation for direct action type relief valve in vibration environment

ZHA Congyi1, SUN Zhili1, LIU Qin2, PAN Chenrong3

Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (11) : 66-71.

PDF(1494 KB)
PDF(1494 KB)
Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (11) : 66-71.

Reliability analysis of anti-pressure fluctuation for direct action type relief valve in vibration environment

  • ZHA Congyi1, SUN Zhili1, LIU Qin2, PAN Chenrong3
Author information +
History +

Abstract

Hydraulic equipment typically operates in complex working conditions that frequently involve adverse factors, including vibrations and impacts. The coupling of unfavorable and uncertain factors can easily result in misadjustment of the relief valve and ultimately lead to equipment failure. To solve this problem, a reliability analysis model for anti-pressure fluctuation of a direct-operated relief valve is proposed, which considers parameter uncertainties. A mathematical model of the relief valve in a vibration environment was established through appropriate simplification. Furthermore, a performance function for pressure fluctuation failure of the relief valve was constructed based on whether the pressure fluctuation amplitude exceeds the specified value in the national standard. As the performance function is strongly nonlinear and implicit, a reliability analysis method for anti-pressure fluctuation in the relief valve is established by combining MATLAB/Simulink simulation with an active learning Kriging model. The failure probability was subsequently computed. The obtained results not only provide new guidance for the reliability assessment and design optimization of the relief valve but also hold certain academic value for the development of reliability techniques in hydraulic-related components.

Key words

vibration / relief valve / anti-pressure fluctuation reliability / Kriging

Cite this article

Download Citations
ZHA Congyi1, SUN Zhili1, LIU Qin2, PAN Chenrong3. Reliability analysis of anti-pressure fluctuation for direct action type relief valve in vibration environment[J]. Journal of Vibration and Shock, 2024, 43(11): 66-71

References

[1] THAPA M, MISSOUM S. Uncertainty quantification and global sensitivity analysis of composite wind turbine blades[J]. Reliability Engineering and System Safety, 2022, 222: 108354. [2] GRAY A, WIMBUSH A, ANGELIS M D, et al. From inference to design: A comprehensive framework for uncertainty quantification in engineering with limited information[J]. Mechanical Systems and Signal Processing, 2022, 165: 108210. [3] STOSIAK M, SKACKAUSKAS P, TOWARNICKI K, et al. Analysis of the impact of vibrations on a micro-hydraulic valve using a modified induction algorithm[J]. Machines, 2023, 11(2): 184. [4] 訚耀保, 原佳阳, 傅俊勇. 先导阀前腔串加阻尼孔的新型双级溢流阀特性[J].吉林大学学报(工学版), 2017, 47(01): 129-136. YIN Yaobao, YUAN Jiayang, FU Junyong. Characteristics of two-stage relief valve with series damping orifice in the front chamber of pilot valve[J]. Journal of Jilin University (Engineering and Technology Edition), 2017, 47(1): 129-136. [5] DIMITROV S, KRSTEV D. Modelling and simulation of the transient performance of a direct operated pressure relief valve[J]. Hidraulica, 2022 (3): 75-81. [6] BURHANI M G, HOS C. Estimating the opening time of a direct spring operated pressure relief valve in the case of multiphase flow of fixed mass fraction in the absence of piping[J]. Journal of Loss Prevention in the Process Industries, 2020, 66: 104169. [7] SONG W, YANG C, ZHANG X, et al. Mathematical modelling and dynamic analysis of a direct-acting relief valve based on fluid-structure coupling analysis[J]. Shock and Vibration, 2021(5):1-11. [8] 张怀亮, 章国亮, 齐征宇. 基础振动下直动式溢流阀的动态特性[J].中南大学学报(自然科学版), 2014, 45(12): 4181-4186. ZHANG Huailiang, ZHANG Guoliang, QI Zhengyu. Dynamic characteristics of direct operated relief valve on fundamental vibration[J]. Journal of Central South University (Science and Technology), 2014, 45(12): 4181-4187. [9] LIAO M, ZHENG Y, GAO Z, et al. Fluid–structure coupling modelling and parameter optimization of a direct-acting relief valve for underwater application[J]. Nonlinear Dynamics, 2021, 105(4): 2935-2958. [10] BOSSARD J, REICH A, DIMEO A. Dynamic analysis of a high-pressure relief valve during opening[J]. Journal of Pressure Vessel Technology, 2021, 143(1): 011403. [11] 苏华山, 杨国来, 张立强等. 加油机溢流阀流体振动噪声分析与优化[J]. 振动与冲击, 2013, 32(23): 130-134. SU Huashan, YANG Guolai, ZHANG Liqiang, et al. Analysis and improvement of noise and vibration of relief valve in gasoline pump system[J]. Journal of Vibration and Shock, 2013, 32(23): 130-134. [12] 杨忠炯, 李洪宾, 周立强等. 强冲击下先导式溢流阀先导阀芯自激振动仿真[J]. 华中科技大学学报(自然科学版), 2015, 43(04): 58-63. YANG Zhongjiong, LI Hongbin, ZHOU Liqiang, et al. Simulation of self-excited vibration behavior of pilot valve core on pilot-operated pressure relief valve with strong vibration[J]. Journal of Huazhong University of Science and Technology (Natural Science Edition), 2015, 43(04): 58-63. [13] KADAR F, STEPAN G. Nonlinear dynamics and safety aspects of pressure relief valves[J]. Nonlinear Dynamics, 2023: 1-16. [14] MA X, ZHANG Z, HUA H. Uncertainty quantization and reliability analysis for rotor/stator rub-impact using advanced Kriging surrogate model[J]. Journal of Sound and Vibration, 2022, 525: 116800. [15] GB/T 12241-2021, 安全阀一般要求[S]. 北京: 中国标准出版社, 2021. GB/T 12241-2021, Safety valves general requirements[S]. Beijing: Standards Press of China, 2021. [16] GUO Q, LV T Q, LIU Y S, et al. Dynamic reliability and global sensitivity analysis for hydraulic pipe based on sparse grid integral method[J]. Journal of Pressure Vessel Technology, 2019, 141(6): 061701. [17] 查从燚, 孙志礼, 潘陈蓉等. 面向结构可靠性分析的并行自适应加点策略[J]. 东北大学学报(自然科学版), 2023, 44(1): 76-82. ZHA Congyi, SUN Zhili, PAN Chenrong,et al. Parallel adaptive sampling strategy for structural reliability analysis[J]. Journal of Northeastern University (Natural Science), 2023, 44(1): 76-82. [18] AMERYAN A, GHALEHNOVI M, RASHKI M. AK-SESC: a novel reliability procedure based on the integration of active learning kriging and sequential space conversion method[J]. Reliability Engineering and System Safety, 2022, 217: 108036. [19] ZHA C Y, SUN Z L, WANG J, et al. A general active-learning method for surrogate-based structural reliability analysis[J]. Structural Engineering and Mechanics, 2022, 83(2): 167-178. [20] RUI T, NOGAL M, OCONNOR A. Adaptive approaches in metamodel-based reliability analysis: a review[J]. Structural Safety, 2021, 89: 102019. [21] ZHANG X, WANG X, PANDEY M D, et al. An effective approach for high-dimensional reliability analysis of train-bridge vibration systems via the fractional moment[J]. Mechanical Systems and Signal Processing, 2021, 151: 107344. [22] AFSHARI S S, ENAYATOLLAHI F, XU X, et al. Machine learning-based methods in structural reliability analysis: A review[J]. Reliability Engineering and System Safety, 2022, 219: 108223.
PDF(1494 KB)

194

Accesses

0

Citation

Detail

Sections
Recommended

/