Design parameters optimization of a particles impact damper

  • Cherif Snoun
  • Moez TriguiEmail author
Original Paper


Particles impact damping is one of the promising technologies used for the passive mitigation of vibrations. Through the dynamic impact and friction between particles, particles impact damper is able to reduce or eliminate vibratory energy under kinetic shape. Due to the simplicity of this type of damper and the operating frequency band, it is widely used in civil engineering. On the other hand it can operate in aggressive environments including high temperature or humidity. In this paper, the dynamic behaviour and efficiency of this process to reduce vibrations are highlighted. Using a simple analytical model, a clamped-free beam coupled to a particles impact damper, the influence of some system parameters is investigated. The proposed model is, then, validated through a comparison of simulated responses with experimental results established in a previous work. It is noticed that the nonlinear behaviour and the large number of their design parameters make the determination of its participation in damp very complicated. For this reason, it is crucial to seek optimal design parameters of the particles impact damper. In this context, an optimized method based on a genetic algorithm is proposed. The obtained results demonstrate the satisfactory side of this approach to identify the optimal parameters of the considered particles impact damper. Consequently, the developed approach may be constitutes an aid, for the engineer, to choose particles impact damper parameters according to the characteristics of the vibrating structure to be studied.


Vibration Passive damping Loss factor Optimization Genetic algorithm 

List of symbols


Particle impact damper


Genetic algorithms


Impact mass


Precedence preservative crossover


Objective function


Reduced stiffness of the clamped-free beam


Reduced mass of the clamped-free beam


Cross-sectional area moment of the beam


Mass of IM


Young modulus


Length of the beam


Mass of the enclosure


Mass of the beam

\(\omega \)

Undamped natural frequency

\(\psi _b \)

Intrinsic material damping of the beam

\(\xi \)

Damping ratio of the beam

\(\mu \)

Mass ratio


Coefficient of restitution

\(\psi \)

Loss factor


Clearance in the enclosure


Probability of selection


Probability of mutation


Crossover probability


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Copyright information

© Springer-Verlag France SAS, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Mechanical Laboratory of Sousse (LMS), National Engineering School of Sousse (ENISO)University of SousseSousseTunisia
  2. 2.Mechanical Engineering Laboratory (LGM), National Engineering School of Monastir (ENIM)University of MonastirMonastirTunisia

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