Nonlinear dynamic analysis of a unilateral vibration vehicle system with structural nonlinearity under harmonic excitation

Zhou, Shihua; Li, Yiming; Ren, Zhaohui; Song, Guiqiu; Wen, Bangchun

doi:10.1016/j.ymssp.2018.07.021

Cited by 19 publications

(5 citation statements)

References 28 publications

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“…For example, Mohamed A.Assan et al [5] established a 7-DOF vehicle model and studied the vibration characteristics of the body, and the results showed that suspension stiffness and damping had a significant impact on roll vibration. Through the establishment of the dynamics simulation model, the vibration law and vibration transmission characteristics of the body can be quantitatively analyzed [6,7]. Such as Wu et al [8] established a human dynamic simulation model and studied the coupled vibration characteristics in the lateral, vertical and pitch directions.…”

Section: Introductionmentioning

confidence: 99%

Identification and sensitivity analysis of vehicle body compound vibration

Wang,

Su,

Zang

et al. 2024

J Braz. Soc. Mech. Sci. Eng.

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The identification and sensitivity analysis of compound vibration is the basis of vibration control of vehicle body. In the paper, the mechanism and key influencing factors of compound vibration are analyzed by establishing the dynamic mathematical model with 11 degrees of freedom, and the experiment method for identifying compound vibration is put forward. The sensitivity of influencing factors of compound vibration of the body is analyzed by establishing a rigidflexible coupling dynamic simulation model. The results show that vertical vibration, roll vibration and pitch vibration are the main forms of the vehicle body vibration, the key influencing factor of vertical vibration is rear suspension stiffness, the key influencing factors of roll vibration are lower control arm length and rear suspension damping, front suspension stiffness and rear suspension stiffness are the key influencing factors of pitch vibration. The research results provide a theoretical basis and reference for mastering the composition and formation mechanism of compound vibration of vehicle body.

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Section: Introductionmentioning

confidence: 99%

Identification and sensitivity analysis of vehicle body compound vibration

Wang,

Su,

Zang

et al. 2024

J Braz. Soc. Mech. Sci. Eng.

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“…At present, most literatures focus on vehicle steadystate roll performance, and analyze vehicle steady-state roll response by mathematical model, simulation model, or test method. [3][4][5] Compared with the steadystate roll performance, the transient roll performance has obvious nonlinear characteristics, which are mainly affected by factors such as inertial force, dynamic force of rubber bushing, friction between components, and coupling between mechanical systems. Moreover, roll vibration is coupled with vertical and pitch vibrations, which makes roll vibration identification difficult.…”

Section: Introductionmentioning

confidence: 99%

Identification, reproduction, and control of vehicle roll vibration

Wang

Bao²

2023

Proceedings of the Institution of Mechanical Engineers, Part D:

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The human body is extremely sensitive to roll vibration, which is also an important indicator for evaluating vehicle comfort. In order to improve the ability of anti-roll vibration of vehicles, the methods of mathematical modeling, dynamic simulation, and vibration test are used in this paper. The generation mechanism, dynamic change law, and key influencing factors of the roll vibration are analyzed. The analysis results include: the dynamic simulation results are in good agreement with the test results, and the use of the simulation model is beneficial to the analysis and control of the roll vibration; the roll vibration is caused by the relative dynamic deformation of the left and right suspensions, and the larger the relative deformation, the more obvious the roll vibration; the optimization of the position and damping of the shock absorber is conducive to the control of roll vibration, which greatly improves the comfort of the vehicle. The research results provide theoretical basis and reference for grasping the characteristics of the roll vibration and vibration reduction design.

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“…Under the excitation of the same speed bump, the vehicles in different speed ranges show three vibration states: periodic vibration, quasi periodic vibration and chaotic vibration. In the periodic vibration state, the comfort of passengers is the best, in the quasi periodic vibration state, the comfort of passengers is the worst, and speed bumps of different size correspond to different comfort speed ranges [6][7]. This effect is more obvious when encountering continuous speed bump.…”

Section: Introductionmentioning

confidence: 99%

Application of Lightweight Neural Network in Speed Bump Recognition of Autonomous Vehicle

Yang¹,

Yang²,

Mou³

et al. 2022

Journal of Compurters

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<p>Vibration occurs when a vehicle passes through a speed bump, which has different intensities at different sizes and speeds. The recognition of speed bump type is an important step for vehicle to adjust speed automatically in time in automatic driving, which helps to improve the safety and comfort of passengers. In this paper, we put forward the technical requirements of speed bump image acquisition in automatic driving scene, and establish the speed bump image dataset. Based on improved EfficientNet basic block, we construct a lightweight convolutional neural network integrating edge detection, which is named Edge-Efficientnet. The experimental results show that its accuracy is improved by 3.3% and the model size is reduced by 53% compared with EfficientNetB0 model. In terms of computing speed, the model meets the real-time performance requirements. The Edge-Efficientnet model can be applied to the comfortable speed adjustment of autonomous vehicles passing through speed bump.</p> <p> </p>

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Nonlinear dynamic analysis of a unilateral vibration vehicle system with structural nonlinearity under harmonic excitation

Cited by 19 publications

References 28 publications

Identification and sensitivity analysis of vehicle body compound vibration

Identification and sensitivity analysis of vehicle body compound vibration

Identification, reproduction, and control of vehicle roll vibration

Application of Lightweight Neural Network in Speed Bump Recognition of Autonomous Vehicle

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