Dynamic response and optimization for suspension systems with non-linear viscous damping

Sun, Tao; Luo, Albert C. J.; Hamidzadeh, Hamid R.

doi:10.1243/1464419001544188

Cited by 5 publications

(5 citation statements)

References 21 publications

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“…Therefore, they can be used for design and design analysis of suspension systems' structures, their integrity and control. [41][42][43][44][45][46] All these studies necessitate the inclusion of detailed tyre models and elasto-kinetics of suspension compliance.…”

Section: Large Displacement-low-frequency Vehicle Dynamics (Ride and ...mentioning

confidence: 99%

Multi-body dynamics in vehicle engineering

Rahnejat

Johns-Rahnejat

Dolatabadi

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part K:

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Since Euler's original gyro-dynamic analysis nearly two and a half centuries ago, the use of multi-body dynamics (MBD) has spread widely in application scope from large displacement rigid body dynamics to infinitesimal amplitude elastodynamics. In some cases, MBD has become a multi-physics multi-scale analysis, comprising contact mechanics, tribo-dynamics, terramechanics, thermodynamics, biomechanics, etc. It is an essential part of all analyses in many engineering disciplines, including vehicle engineering. This paper provides an overview of historical developments with emphasis on vehicle development and investigation of observed phenomena, including noise, vibration and harshness. The approach undertaken is comprehensive and provides a uniquely focused perspective, one which has not hitherto been reported in the literature.

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Section: Large Displacement-low-frequency Vehicle Dynamics (Ride and ...mentioning

confidence: 99%

Multi-body dynamics in vehicle engineering

Rahnejat

Johns-Rahnejat

Dolatabadi

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part K:

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“…This algorithm was used to solve differential algebraic equations of motion and design sensitivity analysis for rigid MBSs. The design sensitivity and optimization of vehicle suspension parameters under excitation caused by road roughness were investigated by Sun et al 27 using a finite element method with nonlinear viscous damping taken into consideration. Polach and Hajzman 28 analyzed the sensitivities of relative displacements between the wheels and wagon body in the course of the simulations of laboratory excitations and calculated the relative sensitivities with respect to wagon mass, moment of inertia of the wagon with respect to the longitudinal axis, vertical position of the center of gravity, stiffness and damping coefficient of the contact between wagon wheels and rail.…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-body dynamics-based sensitivity analysis for a railway vehicle

Ding

Zou

et al. 2014

Proceedings of the Institution of Mechanical Engineers, Part F:

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A railway vehicle is a complicated mechatronic system. Its mechanical structure and connections are key influences on its performance. When a railway vehicle runs at very high speeds its dynamic performance becomes of considerable interest. Therefore, the identification of the design factors that significantly impact on the vehicle’s running behavior, such as safety, stability, comfort and reliability, is a key step towards vehicle design optimization. The optimal design of a railway vehicle is difficult to perform using existing methods due to the complexity inherent in rail/track interactions. Thus, performing a sensitivity analysis of a railway vehicle can be seen as a bridge between performance analysis and an optimal design. This paper presents a sensitivity model that can be used to analyze the performance parameters of a railway vehicle in terms of variation of its design parameters. First, the railway vehicle is described as a multi-body system that can be broken down into its component parts and then, the dynamic behavior of the system is investigated. To simplify the model, a spring/damper connection is used in the classic Hertz nonlinear elastic contact model to represent the force in the normal direction at the wheel/rail contact point. Finally, based on the adjoint variable method, the equations that constitute the sensitivity model of the railway vehicle are derived and analysis software is developed. A case study shows the reliability of the proposed approach.

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“…This relates to the limited design variables and is confined to singleobjective problems. [4][5][6][7][8][9] In the gradient-based method, multiple objectives are usually formulated by summing the weighted multiple objectives into a single objective to be minimised. 10 Often, the optimum weighting required for each objective is not known, and it is difficult to determine the appropriate value for each objective and which combinations of weightings can give the optimal solution.…”

Section: Introductionmentioning

confidence: 99%

A new multi-objective optimization method for full-vehicle suspension systems

Tey

Ramli

Abdullah

2016

Proceedings of the Institution of Mechanical Engineers, Part D:

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The conventional approach in vehicle suspension optimization based on the ride comfort and the handling performance requires decomposition of the multi-performance targets, followed by lengthy iteration processes. Suspension tuning is a time-consuming process, which often requires the benchmarking of competitors’ vehicles to define the performance targets of the desired vehicle by experimental techniques. Optimum targets are difficult to derive from benchmark vehicles as each vehicle has its own unique vehicle set-up. A new method is proposed to simplify this process and to reduce significantly the development process. These design objectives are formulated into a multi-objective optimization problem together with the suspension packaging dimensions as the design constraints. This is in order to produce a Pareto front of an optimized vehicle at the early stages of design. These objectives are minimized using a multi-objective optimization workflow, which involves a sampling technique, and a regularity-model-based multi-objective estimation of the distribution algorithm to solve greater than 100-dimensional spaces of the design parameters by the software-in-the-loop optimization process. The methodology showed promising results in optimizing a full-vehicle suspension design based on the ride comfort and the handling performance, in comparison with the conventional approach.

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Dynamic response and optimization for suspension systems with non-linear viscous damping

Cited by 5 publications

References 21 publications

Multi-body dynamics in vehicle engineering

Multi-body dynamics in vehicle engineering

Multi-body dynamics-based sensitivity analysis for a railway vehicle

A new multi-objective optimization method for full-vehicle suspension systems

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