Calculation Method of Pipeline Vibration with Damping Supports Made of the MR Material

Уланов, А. М.; Bezborodov, Sergey

doi:10.1016/j.proeng.2016.06.725

Cited by 25 publications

(4 citation statements)

References 6 publications

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“…Ulanov et al [18] developed a pipeline model with variable damping support by considering the nonlinearity of metal rubber materials and proposed a method to solve vibration response of space pipeline. Wu et al [19] studied the soft characteristics of metal rubber and built a nonlinear elastic restoring force model.…”

Section: Introductionmentioning

confidence: 99%

Dynamic modeling and vibration response experiment of clamp-pipeline system with soft nonlinearity

Cao

et al. 2023

Preprint

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As an important supporting component, metal rubber clamp often generates nonlinear force and brings complex dynamics to pipeline system. However, the nonlinear of metal rubber clamps in pipeline system has been rarely incorporated in the open research. Therefore, based on genetic algorithm and finite element method, a new nonlinear clamp model with four degrees of freedom is proposed by introducing identified nonlinear parameters. The nonlinear parameters are identified by genetic algorithm in which the objective function is the error between experiment and simulation, and the nonlinear clamp-pipeline model is verified by modal test and vibration response experiment under different boundary conditions. The results show the numerical results are basically consistent with the experimental results. Moreover, the effects of clamp nonlinear stiffness coefficient, nonlinear damping coefficient, and excitation amplitude on vibration response of pipeline system are analyzed. The developed model can consider the nonlinear effect of pipeline system, so as to predict the vibration response more accurately.

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Section: Introductionmentioning

confidence: 99%

Dynamic modeling and vibration response experiment of clamp-pipeline system with soft nonlinearity

Cao

et al. 2023

Preprint

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“…Hosseini [11] simulated various types of viscoelastic supports and investigated their effects on the FSI during the water hammer in straight pipeline systems. Ulanov [12,13] used ANSYS to model the pipeline and clamp, calculate the stiffness, damping, and other parameters of the clamp, and obtain the vibration response of the pipeline under the constraint of the clamp through harmonic response analysis. Chai [14][15][16] established the clamp-straight pipe dynamics model based on the six-degreeof-freedom beam element.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Water Hammer and Pipeline Vibration Characteristics of Submarine Local Hydraulic System

Quan,

Gao,

Guo

et al. 2023

JMSE

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The hydraulic pipeline vibration noise is one of the main noise sources in submarine stealth conditions. Taking the local hydraulic system of a certain type of submarine as the research object, a model is first developed to simulate water hammer pressures and to study the influence of component parameters on the generation and transmission of water hammers. Then, using the maximum water hammer as the excitation, fluid–structure interaction (FSI) vibration characteristics analysis of the pipeline is carried out. Additionally, the simulation method of clamp bolt pre-tightening is discussed. Finally, the modal test of various specifications of the pipeline is carried out. The results show that the error between the simulation and the test results is within 10%, which verifies the correctness of the model settings. On this basis, with the position of the clamp as the independent variable and the maximum stress of pipelines as the dependent variable, the optimization of pipeline passive vibration control is carried out by genetic algorithm, and the finite element verification shows that the pipeline vibration stress is effectively reduced.

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“…In recent years, in order to avoid the vibration failure of the clamp-pipe system, some research has been done on the mechanical parameters and the clamp-pipe system model of aero-engines. For example, Ulanov and Bezborodov [5,7] used the hysteresis curve obtained by the test to obtain the clamp support stiffness and the damping energy dissipation coefficient under a static load. Gao et al [8,10] obtained the aircraft pipe clamp stiffness based on the test and simplified it into a spring support.…”

Section: Introductionmentioning

confidence: 99%

An early fault diagnosis method based on the optimization of a variational modal decomposition and convolutional neural network for aeronautical hydraulic pipe clamps

Yang

et al. 2020

Meas. Sci. Technol.

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An intelligent fault diagnosis method based on optimal variational modal decomposition (VMD) and a convolutional neural network (CNN) is proposed to solve the problems of the early faults and typical fault characteristics of hydraulic pipe clamps in aero-engines. Firstly, a modified genetic algorithm is used to optimize the selection of variational modal decomposition parameters, and the optimized VMD is used to decompose the signal. Secondly, the IMF weight of CNN fusion feature information is used. Finally, the fault pattern recognition is carried out by CNN, so as to realize the intelligent fault diagnosis of an air hydraulic pipeline clamp. Experimental results show that this method can not only effectively clamp the health condition while the fault type is used to identify the accuracy, but can also realize the clamp early fault diagnosis. At the same time, through the clamp health status and test data analysis of typical fault status, we found that the typical fault characteristic frequency band provides a reference for the fault diagnosis of aerial hydraulic pipe circuit clamps.

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Calculation Method of Pipeline Vibration with Damping Supports Made of the MR Material

Cited by 25 publications

References 6 publications

Dynamic modeling and vibration response experiment of clamp-pipeline system with soft nonlinearity

Dynamic modeling and vibration response experiment of clamp-pipeline system with soft nonlinearity

Analysis of Water Hammer and Pipeline Vibration Characteristics of Submarine Local Hydraulic System

An early fault diagnosis method based on the optimization of a variational modal decomposition and convolutional neural network for aeronautical hydraulic pipe clamps

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