Relevant bibliographies by topics / Nonlinear suspension

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Nonlinear suspension'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Nonlinear suspension"

1

Hua, CR, Y. Zhao, ZW Lu, and H. Ouyang. "Random vibration of vehicle with hysteretic nonlinear suspension under road roughness excitation." Advances in Mechanical Engineering 10, no. 1 (January 2018): 168781401775122. http://dx.doi.org/10.1177/1687814017751222.

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The analysis of random vibration of a vehicle with hysteretic nonlinear suspension under road roughness excitation is a fundamental part of evaluation of a vehicle’s dynamic features and design of its active suspension system. The effective analysis method of random vibration of a vehicle with hysteretic suspension springs is presented based on the pseudoexcitation method and the equivalent linearisation technique. A stable and efficient iteration scheme is constructed to obtain the equivalent linearised system of the original nonlinear vehicle system. The power spectral density of the vehicle responses (vertical body acceleration, suspension working space and dynamic tyre load) at different speeds and with different nonlinear levels of hysteretic suspension springs are analysed, respectively, by the proposed method. It is concluded that hysteretic nonlinear suspensions influence the vehicle dynamic characteristic significantly; the frequency-weighted root mean square values at the front and rear suspensions and the vehicle’s centre of gravity are reduced greatly with increasing the nonlinear levels of hysteretic suspension springs, resulting in better ride comfort of the vehicle.
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Shannan, J. E., and M. J. Vanderploeg. "A Vehicle Handling Model With Active Suspensions." Journal of Mechanisms, Transmissions, and Automation in Design 111, no. 3 (September 1, 1989): 375–81. http://dx.doi.org/10.1115/1.3259009.

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This paper presents two vehicle models used to investigate the effects of active suspensions. One is a linear seven degree of freedom ride model. The second is a nonlinear ten degree of freedom ride and handling model. Full state feedback optimal control algorithms are developed for both models. The seven degree of freedom model is used to study ride effects. The active suspension substantially reduced the motion of the sprung mass. The ten degree of freedom model is used to study the effects of the active suspension on the directional response characteristics of the vehicle. The handling characteristics exhibited by the active suspension are very similar to those of the passive suspension. However, the active suspension did significantly reduce sprung mass motions during the handling maneuvers. It is then illustrated that by altering various feedback gains, active suspensions can be made to change the handling characteristics in the nonlinear range.
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Metwalli, S. M. "Optimum Nonlinear Suspension Systems." Journal of Mechanisms, Transmissions, and Automation in Design 108, no. 2 (June 1, 1986): 197–202. http://dx.doi.org/10.1115/1.3260802.

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Global optimal isolation is presented in this paper. Results indicate that to optimally isolate a system, it should be totally disconnected from the disturbance. A model is then selected to optimize nonlinear suspension systems which, in the limits, approach optimal isolation characteristics. Nondimensional design parameters that themselves are made to be dependent on the input are employed. A step disturbance is selected to equivalently represent real excitations. The objective function incorporates the tire-terrain normal force as an indicator of the vehicle controllability which is unconstrained or constrained by a comfort criterion (acceleration). The advantages of optimized realistically nonlinear systems over their linear counterparts are indicated.
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Wan, Yi, and Joseph M. Schimmels. "Improved Vibration Isolating Seat Suspension Designs Based on Position-Dependent Nonlinear Stiffness and Damping Characteristics." Journal of Dynamic Systems, Measurement, and Control 125, no. 3 (September 1, 2003): 330–38. http://dx.doi.org/10.1115/1.1592189.

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The design of seat suspensions having linear stiffness and damping characteristics involves a tradeoff between three performance measures. These measures are: (1) suspension range of motion, (2) improved average vibration isolation (weighted average across a wide exposure spectrum), and (3) improved isolation at the frequency of peak transmissibility. To overcome the limitations associated with this tradeoff, nonlinear mechanical properties are used here in the design of a seat suspension. From the infinite number of possible nonlinear mechanical characteristics, several possibilities that showed promise in previous studies were selected. The selected nonlinear force-deflection relationship (stiffness) of the seat is described by a combination of cubic and linear terms. The selected damping behavior of the seat is described by a combination of a linear term and a position-dependent term. A lumped parameter model (linear-human/nonlinear-seat) of the human/seat-suspension coupled system and a robust direct search routine are used to obtain pseudo-optimal values of the seat design parameters (mass, stiffness, and damping) via simulation in the time domain. Results indicate that the optimal nonlinear seat suspension is significantly better than the optimal linear seat suspension in overall vibration isolation characteristics.
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Dahunsi, Olurotimi Akintunde, and Jimoh Olarewaju Pedro. "Nonlinear Active Vehicle Suspension Controller Design using PID Reference Tracking." Journal of the Institute of Industrial Applications Engineers 3, no. 3 (July 25, 2015): 111–20. http://dx.doi.org/10.12792/jiiae.3.111.

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Hanafi, Dirman, Mohamad Fauzi Zakaria, Rosli Omar, M. Nor M. Than, M. Fua'ad Rahmat, and Rozaimi Ghazali. "Neuro Model Approach for a Quarter Car Passive Suspension Systems." Applied Mechanics and Materials 775 (July 2015): 103–9. http://dx.doi.org/10.4028/www.scientific.net/amm.775.103.

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The road handling, load carrying and passenger comfort are three intension factors on car suspension’s system. They should be compromised to achieve the good the car suspension dynamics. To fulfill the requirement, the car suspension system must be controlled and analyzed. To design and analyze the suspension controller, the realistic dynamics model of car suspension is needed. In this paper, the car suspension is assumed as a quarter car and has a model structure as a neural network structure. The model is assumed consist of nonlinear properties that are contributed by spring stiffness and damping elements of suspension system. The tire is assumed has linear properties and represented by spring stiffness element and damping element. The model responses are generated in simulation term. The random type of artificial road surface signal as an input variable is used in this simulation. The results show that the trend of neuro model have the same with the response of a quarter car nonlinear model from dynamic derivation. It means that the developed neuro model structure capable to represent the nonlinear model of a quarter car passive suspension system dynamics.
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Zhu, Zhi Wen, Chang Wei Sui, and Jia Xu. "Nonlinear Dynamic Characteristics of Semi-Active Suspension System with SMA Spring Based on Hysteretic Nonlinear Theory." Key Engineering Materials 458 (December 2010): 265–70. http://dx.doi.org/10.4028/www.scientific.net/kem.458.265.

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In this paper, the nonlinear dynamic characteristics of vehicle semi-active suspension system with SMA spring were studied in hysteretic nonlinear theory. SMA spring was applied in semi-active suspension system to control vibration. Von del Pol hysteretic cycle model were introduced to set up a new kind of continuous SMA strain-stress model, based on which the nonlinear dynamic model of vehicle semi-active suspension system with SMA spring was developed. The first-order nonlinear approximate solution of suspension system was obtained, the stability and bifurcation characteristic of suspension system were analyzed. The result of analysis shows that the nonlinear stiffness parameters can not cause the bifurcation of suspension system, and the qualitative change of the dynamic characteristic of suspension system has relationship with the nonlinear damping parameters. Finally, the result of analysis was proved by simulation.
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Buckner, Gregory D., Karl T. Schuetze, and Joe H. Beno. "Intelligent Feedback Linearization for Active Vehicle Suspension Control." Journal of Dynamic Systems, Measurement, and Control 123, no. 4 (July 3, 2000): 727–33. http://dx.doi.org/10.1115/1.1408945.

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Effective control of ride quality and handling performance are challenges for active vehicle suspension systems, particularly for off-road applications. Off-road vehicles experience large suspension displacements, where the nonlinear kinematics and damping characteristics of suspension elements are significant. These nonlinearities tend to degrade the performance of active suspension systems, introducing harshness to the ride quality and reducing off-road mobility. Typical control strategies rely on linear, time-invariant models of the suspension dynamics. While these models are convenient, nominally accurate, and tractable due to the abundance of linear control techniques, they neglect the nonlinearities and time-varying dynamics present in real suspension systems. One approach to improving the effectiveness of active vehicle suspension systems, while preserving the benefits of linear control techniques, is to identify and cancel these nonlinearities using Feedback Linearization. In this paper the authors demonstrate an intelligent parameter estimation approach using structured artificial neural networks that continually “learns” the nonlinear parameter variations of a quarter-car suspension model. This estimation algorithm becomes the foundation for an Intelligent Feedback Linearization (IFL) controller for active vehicle suspensions. Results are presented for computer simulations, real-time experimental tests, and field evaluations using an off-road vehicle (a military HMMWV). Experimental results for a quarter-car test rig demonstrate 60% improvements in ride quality relative to baseline (non-adapting) control algorithms. Field trial results reveal 95% reductions in absorbed power and 65% reductions in peak sprung mass acceleration using this IFL approach versus conventional passive suspensions.
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Malík, Josef. "Nonlinear models of suspension bridges." Journal of Mathematical Analysis and Applications 321, no. 2 (September 2006): 828–50. http://dx.doi.org/10.1016/j.jmaa.2005.08.080.

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Hassanzadeh, Iraj, Ghasem Alizadeh, Naser Pourqorban Shirjoposht, and Farzad Hashemzadeh. "A New Optimal Nonlinear Approach to Half Car Active Suspension Control." International Journal of Engineering and Technology 2, no. 1 (2010): 78–84. http://dx.doi.org/10.7763/ijet.2010.v2.104.

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Dissertations / Theses on the topic "Nonlinear suspension"

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Aldair, Abdulshaheed Abdulhammed. "Neurofuzzy controller based full vehicle nonlinear active suspension systems." Thesis, University of Sussex, 2012. http://sro.sussex.ac.uk/id/eprint/38502/.

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To design a robust controller for active suspension systems is very important for guaranteeing the riding comfort for passengers and road handling quality for a vehicle. In this thesis, the mathematical model of full vehicle nonlinear active suspension systems with hydraulic actuators is derived to take into account all the motions of the vehicle and the nonlinearity behaviours of the active suspension system and hydraulic actuators. Four robust control types are designed and the comparisons among the robustness of those controllers against different disturbance types are investigated to select the best controller among them. The MATLAB SIMULINK toolboxes are used to simulate the proposed controllers with the controlled model and to display the responses of the controlled model under different types of disturbance. The results show that the neurofuzzy controller is more effective and robust than the other controller types. The implementation of the neurofuzzy controller using FPGA boards has been investigated in this work. The Xilinx ISE program is employed to synthesis the VHDL codes that describe the operation of the neurofuzzy controller and to generate the configuration file used to program the FPGA. The ModelSim program is used to simulate the operation of the VHDL codes and to obtain the expected output data of the FPGA boards. To confirm that FPGA the board used as the neurofuzzy controller system operated as expected, a MATLAB script file is used to compare the set of data obtained from the ModelSim program and the set of data obtained from the MATLAB SIMULINK model. The results show that the FPGA board is effective to be used as a neurofuzzy controller for full vehicle nonlinear active suspension systems. The active suspension system has a great performance for vibration isolation. However the main drawback of the active suspension is that it is high energy consumptive. Therefore, to use this suspension system in the proposed model, this drawback should be solved. Electromagnetic actuators are used to convert the vibration energy that arises from the rough road to useful electrical energy to reduce the energy consumption by the active suspension systems. The results show that the electromagnetic devices act as a power generator, i.e. the vibration energy excited by the rough road surface has been converted to a useful electrical energy supply for the actuators. Furthermore, when the nonlinear damper models are replaced by the electromagnetic actuators, riding comfort and the road handling quality are improved. As a result, two targets have been achieved by using hydraulic actuators with electromagnetic suspension systems: increasing fuel economy and improving the vehicle performance.
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Larin, Oleksiy O., Oleksii O. Vodka, Ruslan O. Kaidalov, and Volodymyr M. Bashtovoi. "Stochastic Dynamics of the Specialized Vehicle with Nonlinear Suspension." Thesis, NTU "KhPI", 2016. http://repository.kpi.kharkov.ua/handle/KhPI-Press/23647.

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This work deals with the theoretical modelling of the vertical dynamics of the vehicle which has an additional level of suspension for a cargo platform with the nonlinear stiffness. The paper presents the design scheme of the additional level of cushioning having a quasi-zero stiffness in the equilibrium position. The mathematical model of the dynamic behavior of specialized vehicles is developed as a nonlinear discrete system. The results of numeric calculations of the vehicle dynamic response on the stochastic load is represented based on the developed model. Vertical vibrations of the cargo platform caused by the kinematics random influence applied to the axels of the vehicle are analyzed. The load is applied to the axels of the vehicle with a time delay. The results of the comparative analysis are displayed for the frequencies and amplitudes of the vehicle vertical vibrations within two different suspensions: in the linear and nonlinear statements.
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Olson, Sean Michael. "Nonlinear compensation of a single degree of freedom magnetic suspension system." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/12067.

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Marsh, Clive. "A nonlinear control design methodology for computer-controlled vehicle suspension systems." Thesis, Loughborough University, 1992. https://dspace.lboro.ac.uk/2134/27995.

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This study demonstrates a new nonlinear controller design methodology applicable to automotive suspension systems. It enhances the ability of the designer to tackle the complex design problem of a controller for a computer-controlled suspension. Based on the principles of optimal control, it permits the use of more general system models and cost functions than the standard linear optimal design techniques and hence, increases the freedom of the designer. It implements the control with an optimal, nonlinear feedback law and is shown to have the potential to improve vehicle performance.
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Mansour, Kamjou. "Characterizations of optical nonlinearities in carbon black suspension in liquids." Thesis, University of North Texas, 1990. https://digital.library.unt.edu/ark:/67531/metadc332586/.

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A complete study was conducted on optical limiting characterization in samples of carbon black microparticles in a mixture of deionized water and ethylene glyccol using nanosecodn and picosecond later pulses at 532 nm and 1064 nm.
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Viarbitskaya, Sviatlana. "Resonance-enhanced Second Harmonic Generation from spherical microparticles in aqueous suspension." Doctoral thesis, Stockholm University, AlbaNova University Center (together with KTH), 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-7517.

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Second harmonic generation (SHG) is a nonlinear optical effect sensitive to interfaces between materials with inversion symmetry. It is used as an effective tool for detection of the adsorption of a substance to microscopic particles, cells, liposomes, emulsions and similar structures, surface analysis and characterization of microparticles. The scattered second harmonic (SH) intensity from surfaces of suspended microparticles is characterized by its complex angular distribution dependence on the shape, size, and physical and chemical properties of the molecules making up the outer layer of the particles. In particular, the overall scattered SH intensity has been predicted to have a dramatic and nontrivial dependence on the particle size.

Results are reported for aqueous suspensions of polystyrene microspheres with different dye molecules adsorbed on their surfaces. They indicate that the scattered SH power has an oscillatory dependence on the particle size. It is also shown that adsorption of one of the dyes (malachite green) on polystyrene particles is strongly affected when SDS surfactants are added to the solution. For this system a rapid increase of the SH signal with increasing concentration of SDS was observed in the range of low SDS concentration.

Three different theoretical models are used to analyze the observed particle size dependence of SHG. The calculated angular and particle size dependences of the SH scattered power show that the models do not agree very well between each other when the size of the particles is of the order of the fundamental light wavelength, as here. One of the models - nonlinear Mie scattering - predicts oscillatory behaviour of the scattered SH power with the particle size, but fails to reproduce the position of the maxima and minima of the experimentally observed oscillations.

The obtained results on the size dependence of the SH can be used in all applications to increase the count rate by choosing particles of the size for which the SH efficiency was found to the highest. A new effect of cooperative malachite green and SDS interaction at the polystyrene surface can be employed, for example, in the areas of microbiology or biotechnology, where adsorption macromolecules, surfactants and dyes to polystyrene microparticles is widely used.

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Kwong, Gordon Houng. "Approximations for Nonlinear Differential Algebraic Equations to Increase Real-time Simulation Efficiency." Thesis, Virginia Tech, 2010. http://hdl.handle.net/10919/42753.

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Full-motion driving simulators require efficient real-time high fidelity vehicle models in order to provide a more realistic vehicle response. Typically, multi-body models are used to represent the vehicle dynamics, but these have the unfortunate drawback of requiring the solution of a set of coupled differential algebraic equations (DAE). DAE's are not conducive to real-time implementation such as in a driving simulator, without a very expensive processing capability. The primary objective of this thesis is to show that multi-body models constructed from DAE's can be reasonably approximated with linear models using suspension elements that have nonlinear constitutive relationships. Three models were compared in this research, an experimental quarter-car test rig, a multi-body dynamics differential algebraic equation model, and a linear model with nonlinear suspension elements. Models constructed from differential algebraic equations are computationally expensive to compute and are difficult to realize for real-time simulations. Instead, a linear model with nonlinear elements was proposed for a more computationally efficient solution that would retain the nonlinearities of the suspension. Simplifications were made to the linear model with nonlinear elements to further reduce computation time for real-time simulation. The development process of each model is fully described in this thesis. Each model was excited with the same input and their outputs were compared. It was found that the linear model with nonlinear elements provides a reasonably good approximation of actual model with the differential algebraic equations.
Master of Science
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Brown, R. D. "The effect of the nonlinear rear suspension on the traction of off-road motorcycles." Thesis, Cranfield University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396506.

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Mohan, Anant. "Nonlinear Investigation of the Use of Controllable Primary Suspensions to Improve Hunting in Railway Vehicles." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/33740.

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Hunting is a very common instability exhibited by rail vehicles operating at high speeds. The hunting phenomenon is a self excited lateral oscillation that is produced by the forward speed of the vehicle and the wheel-rail interactive forces that result from the conicity of the wheel-rail contours and the friction-creep characteristics of the wheel-rail contact geometry. Hunting can lead to severe ride discomfort and eventual physical damage to wheels and rails. A comprehensive study of the lateral stability of a single wheelset, a single truck, and the complete rail vehicle has been performed. This study investigates bifurcation phenomenon and limit cycles in rail vehicle dynamics. Sensitivity of the critical hunting velocity to various primary and secondary stiffness and damping parameters has been examined. This research assumes the rail vehicle to be moving on a smooth, level, and tangential track, and all parts of the rail vehicle to be rigid. Sources of nonlinearities in the rail vehicle model are the nonlinear wheel-rail profile, the friction-creep characteristics of the wheel-rail contact geometry, and the nonlinear vehicle suspension characteristics. This work takes both single-point and two-point wheel-rail contact conditions into account. The results of the lateral stability study indicate that the critical velocity of the rail vehicle is most sensitive to the primary longitudinal stiffness. A method has been developed to eliminate hunting behavior in rail vehicles by increasing the critical velocity of hunting beyond the operational speed range. This method involves the semi-active control of the primary longitudinal stiffness using the wheelset yaw displacement. This approach is seen to considerably increase the critical hunting velocity.
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Lebel, David. "Statistical inverse problem in nonlinear high-speed train dynamics." Thesis, Paris Est, 2018. http://www.theses.fr/2018PESC2189/document.

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Ce travail de thèse traite du développement d'une méthode de télédiagnostique de l'état de santé des suspensions des trains à grande vitesse à partir de mesures de la réponse dynamique du train en circulation par des accéléromètres embarqués. Un train en circulation est un système dynamique dont l'excitation provient des irrégularités de la géométrie de la voie ferrée. Ses éléments de suspension jouent un rôle fondamental de sécurité et de confort. La réponse dynamique du train étant dépendante des caractéristiques mécaniques des éléments de suspension, il est possible d'obtenir en inverse des informations sur l'état de ces éléments à partir de mesures accélérométriques embarquées. Connaître l'état de santé réel des suspensions permettrait d'améliorer la maintenance des trains. D’un point de vue mathématique, la méthode de télédiagnostique proposée consiste à résoudre un problème statistique inverse. Elle s'appuie sur un modèle numérique de dynamique ferroviaire et prend en compte l'incertitude de modèle ainsi que les erreurs de mesures. Les paramètres mécaniques associés aux éléments de suspension sont identifiés par calibration Bayésienne à partir de mesures simultanées des entrées (les irrégularités de la géométrie de la voie) et sorties (la réponse dynamique du train) du système. La calibration Bayésienne classique implique le calcul de la fonction de vraisemblance à partir du modèle stochastique de réponse et des données expérimentales. Le modèle numérique étant numériquement coûteux d'une part, ses entrées et sorties étant fonctionnelles d'autre part, une méthode de calibration Bayésienne originale est proposée. Elle utilise un métamodèle par processus Gaussien de la fonction de vraisemblance. Cette thèse présente comment un métamodèle aléatoire peut être utilisé pour estimer la loi de probabilité des paramètres du modèle. La méthode proposée permet la prise en compte du nouveau type d'incertitude induit par l'utilisation d'un métamodèle. Cette prise en compte est nécessaire pour une estimation correcte de la précision de la calibration. La nouvelle méthode de calibration Bayésienne a été testée sur le cas applicatif ferroviaire, et a produit des résultats concluants. La validation a été faite par expériences numériques. Par ailleurs, l'évolution à long terme des paramètres mécaniques de suspensions a été étudiée à partir de mesures réelles de la réponse dynamique du train
The work presented here deals with the development of a health-state monitoring method for high-speed train suspensions using in-service measurements of the train dynamical response by embedded acceleration sensors. A rolling train is a dynamical system excited by the track-geometry irregularities. The suspension elements play a key role for the ride safety and comfort. The train dynamical response being dependent on the suspensions mechanical characteristics, information about the suspensions state can be inferred from acceleration measurements in the train by embedded sensors. This information about the actual suspensions state would allow for providing a more efficient train maintenance. Mathematically, the proposed monitoring solution consists in solving a statistical inverse problem. It is based on a train-dynamics computational model, and takes into account the model uncertainty and the measurement errors. A Bayesian calibration approach is adopted to identify the probability distribution of the mechanical parameters of the suspension elements from joint measurements of the system input (the track-geometry irregularities) and output (the train dynamical response).Classical Bayesian calibration implies the computation of the likelihood function using the stochastic model of the system output and experimental data. To cope with the fact that each run of the computational model is numerically expensive, and because of the functional nature of the system input and output, a novel Bayesian calibration method using a Gaussian-process surrogate model of the likelihood function is proposed. This thesis presents how such a random surrogate model can be used to estimate the probability distribution of the model parameters. The proposed method allows for taking into account the new type of uncertainty induced by the use of a surrogate model, which is necessary to correctly assess the calibration accuracy. The novel Bayesian calibration method has been tested on the railway application and has achieved conclusive results. Numerical experiments were used for validation. The long-term evolution of the suspension mechanical parameters has been studied using actual measurements of the train dynamical response
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Books on the topic "Nonlinear suspension"

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Gazzola, Filippo. Mathematical Models for Suspension Bridges: Nonlinear Structural Instability. Springer, 2015.

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Marsh, Clive. A nonlinear control design methodology for computer-controlled vehicle suspension systems. 1992.

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Book chapters on the topic "Nonlinear suspension"

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Jing, Dong, Jian-Qiao Sun, Chuan-Bo Ren, and Xiu-hua Zhang. "Multi-Objective Optimization of Active Vehicle Suspension System Control." In Nonlinear Dynamics and Control, 137–45. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-34747-5_14.

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Ilbeigi, Shahab, and Maxwell Caro. "Application of Nonlinear Displacement-Dependent Dampers in Suspension Systems." In Nonlinear Dynamics, Volume 1, 159–65. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54404-5_17.

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Wu, Ligang, Xiaojie Su, and Peng Shi. "Fuzzy Control of Nonlinear Electromagnetic Suspension Systems." In Fuzzy Control Systems with Time-Delay and Stochastic Perturbation, 289–307. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11316-6_13.

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Sun, Weichao, Huijun Gao, and Peng Shi. "Constrained Active Suspension Control via Nonlinear Feedback Technology." In Advanced Control for Vehicle Active Suspension Systems, 77–109. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15785-2_4.

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Gazzola, Filippo, and Yongda Wang. "Modeling suspension bridges through the von Kármán quasilinear plate equations." In Contributions to Nonlinear Elliptic Equations and Systems, 269–97. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19902-3_18.

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Bellizzi, S., and R. Bouc. "Identification of the Hysteresis Parameters of a Nonlinear Vehicle Suspension Under Random Excitation." In Nonlinear Stochastic Dynamic Engineering Systems, 467–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83334-2_34.

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Khazaie, Ali, Najiullah Hussaini, Hormoz Marzbani, and Reza N. Jazar. "Quarter Car Suspension Model with Provision for Loss of Contact with the Road." In Nonlinear Approaches in Engineering Applications, 167–208. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69480-1_7.

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Savoskin, Anatoly, and Stanislav Vlasevskii. "Aspects of Railway Vehicles Vibrations with Nonlinear Spring Suspension Characteristics." In VIII International Scientific Siberian Transport Forum, 109–16. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37916-2_12.

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Childress, S., and E. A. Spiegel. "Pattern Formation in a Suspension of Swimming Microorganisms: Nonlinear Aspects." In A Celebration of Mathematical Modeling, 33–52. Dordrecht: Springer Netherlands, 2004. http://dx.doi.org/10.1007/978-94-017-0427-4_3.

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Nagarkar, M. P., and G. J. Vikhe Patil. "GA-Based Multi-objective Optimal Control of Nonlinear Quarter Car Suspension." In Lecture Notes in Mechanical Engineering, 481–91. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1771-1_52.

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Conference papers on the topic "Nonlinear suspension"

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Stahl, Patrick, and G. Nakhaie Jazar. "Frequency Response Analysis of Piecewise Nonlinear Vibration Isolator." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-84879.

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Non-smooth piecewise functional isolators are smart passive vibration isolators that can provide effective isolation for high frequency/low amplitude excitation by introducing a soft primary suspension, and by preventing a high relative displacement in low frequency/high amplitude excitation by introducing a relatively damped secondary suspension. In this investigation a linear secondary suspension is attached to a nonlinear primary suspension. The primary is assumed to be nonlinear to model the inherent nonlinearities involved in real suspensions. However, the secondary suspension comes into action only during a short period of time, and in mall domain around resonance. Therefore, a linear assumption for the secondary suspension is reasonable. The dynamic behavior of the system subject to a harmonic base excitation has been analyzed utilizing the analytic results derived by applying the averaging method. The analytic results match very well in the transition between the two suspensions. A sensitivity analysis has shown the effect of varying dynamic parameters in the steady state behavior of the system.
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Karlsson, N., M. Ricci, D. Hrovat, and M. Dahleh. "A suboptimal nonlinear active suspension." In Proceedings of 2000 American Control Conference (ACC 2000). IEEE, 2000. http://dx.doi.org/10.1109/acc.2000.876980.

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Karlsson, N., M. Dahleh, and D. Hrovat. "Nonlinear active suspension with preview." In Proceedings of American Control Conference. IEEE, 2001. http://dx.doi.org/10.1109/acc.2001.946273.

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Shensky, W., I. Cohanoschi, F. E. Hernandez, E. W. Van Stryland, and D. J. Hagan. "Carbon-black suspension based broadband optical limiter." In Nonlinear Optics: Materials, Fundamentals and Applications. Washington, D.C.: OSA, 2002. http://dx.doi.org/10.1364/nlo.2002.we22.

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Guha, Shekhar, and Wenpeng Chen. "Nonlinear interactions in a liquid suspension." In Conference on Lasers and Electro-Optics. Washington, D.C.: OSA, 1986. http://dx.doi.org/10.1364/cleo.1986.thk41.

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Dae Sung Joo, N. Al-Holou, J. M. Weaver, T. Lahdhiri, and F. Al-Abbas. "Nonlinear modeling of vehicle suspension system." In Proceedings of 2000 American Control Conference (ACC 2000). IEEE, 2000. http://dx.doi.org/10.1109/acc.2000.878784.

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Yue Zhu, Sihong Zhu, and Lingfei Xiao. "Passivity based nonlinear suspension active control." In 2014 11th World Congress on Intelligent Control and Automation (WCICA). IEEE, 2014. http://dx.doi.org/10.1109/wcica.2014.7053370.

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McEwan, Kenneth J., Philip K. Milsom, and David B. James. "Nonlinear optical effects in carbon suspension." In SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, edited by Christopher M. Lawson. SPIE, 1998. http://dx.doi.org/10.1117/12.326889.

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Stahl, Patrick, and G. Nakhaie Jazar. "Stability Analysis of a Piecewise Nonlinear Vibration Isolator." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-81856.

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Abstract:
Many vibration isolators can be modeled with a discontinuity in the stiffness and damping coefficients. The sudden change in the values of the coefficients can be represented as a piecewise linear or nonlinear function. Soft suspensions are best for isolation; however, a nonlinear hardening suspension is required to minimize relative displacement at high amplitudes. Often, the physical design limits the relative displacement. Taking advantage of nonlinearity in the suspension is not enough in limiting the relative displacement at very high amplitude. Therefore, a secondary suspension must be involved to limit very high relative displacements. In this investigation, the averaging method was applied to the differential equation generated from the model to find the frequency response. A sensitivity analysis was performed to find regions of instability in the frequency response
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Yousefi, Amirhossein, and Boris Lohmann. "Order reduction of nonlinear hydropneumatic vehicle suspension." In 2006 IEEE Conference on Computer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control. IEEE, 2006. http://dx.doi.org/10.1109/cacsd-cca-isic.2006.4776847.

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