Pulsatile vibrations of viscoelastic microtubes conveying fluid

Ghayesh, Mergen H.; Farokhi, Hamed; Farajpour, Ali

doi:10.1007/s00542-019-04381-8

Cited by 8 publications

(2 citation statements)

References 62 publications

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“…Scholars have verified the effectiveness of various methods on the vibration control from the theoretical and experimental aspects [1][2][3][4][5][6]. According to mechanisms, these methods can be classified as follows:…”

Section: Introductionmentioning

confidence: 99%

A Novel Optimization Layout Method for Clamps in a Pipeline System

Gao

Zhai

et al. 2020

Applied Sciences

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This paper proposes a novel optimization layout method for supporting clamps in a pipeline system. In this method, the global sensitivity analysis based on the Sobol method is presented to determine the influence of clamp position on the first-order frequency difference, the maximum vibration response displacement, and the maximum vibration stress. The modeling density of the finite element calculation is determined, and then a surrogate model of the relationship between the optimized input and the output is established through the neural network. The optimized position and orientation of the clamp are obtained by the genetic algorithm. Finally, a typical pipeline with clamps are conducted as an example to verify the effectiveness of the proposed optimization method. The simulations were compared with the experiment, and the result shows that the proposed optimization method can reduce the vibration of the pipeline system significantly, thus providing a new method for the arrangement of clamps in pipeline system.

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Section: Introductionmentioning

confidence: 99%

A Novel Optimization Layout Method for Clamps in a Pipeline System

Gao

Zhai

et al. 2020

Applied Sciences

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“…Recently, micro/nano‐scale beams play significant roles in micro‐electromechanical system (MEMS)/nano‐electromechanical system such as bio‐MEMS [26], micro‐actuators [27], micro‐resonators [28], and so on [29, 30]. Non‐linear vibration is one of the most important problems in micro/nano‐scale beams.…”

Section: Introductionmentioning

confidence: 99%

Adaptive prescribed‐time disturbance observer using nonsingular terminal sliding mode control: Extended Kalman filter and particle swarm optimization

Vahidi-Moghaddam

Rajaei

Ayati

et al. 2020

IET Control Theory & Appl

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In this study, adaptive prescribed finite-time stabilisation of uncertain single-input and single-output non-linear systems is considered in the presence of unknown states, unknown parameters, external load disturbance, and non-symmetric input saturation. A prescribed finite time disturbance observer is designed to approximate the unmeasured external disturbance. Also, a non-singular prescribed finite time terminal sliding mode control is proposed for the closed-loop control of the system with the non-symmetric input saturation. Extended Kalman filter algorithm is employed for the real-time estimations of the states and unknown parameters of the system. Moreover, a particle swarm optimisation algorithm is used to obtain the design parameters of the proposed disturbance observer and controller. To show the performance of designed control scheme, the proposed approach is employed to guarantee prescribed finite time stabilisation of non-linear vibration of a non-local strain gradient nanobeam. The Galerkin projection method is used to reduce the non-dimensional form of the governing non-linear partial differential equation of Euler-Bernoulli nanobeam to the ordinary differential equation. Finally, numerical simulations are performed to illustrate the effectiveness and performance of the developed adaptive control scheme for the vibration control of nanobeam in comparison with the conventional sliding mode control.

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