Published January 12, 2026 | Version v1

Accompanying dataset for the paper "Increasing dynamic range of NES by using geometric nonlinear damping"

  • 1. Laboratoire de Mécanique et d'Acoustique [Marseille]
  • 2. TotalEnergies

Description

Contributions

  • E. Gourc wrote the paper and performed the calculations
  • P.O. Mattei, R. Cote and M. Capaldo wrote the paper

Data structure and information

  • workflows:
    • workflows - folder containing results for case 1
      • README.md - Instructions to regenerate figures
      • reproduce.sh - script reproducing figures
      • getSimPoints.m - Computation of the singular point of the SIM
      • getFixedPoint.m - Get Fixed point from the analytical curve
      • sizing.m - Compute the sizing curves (critical forcing amplitude VS nonlinear damping)
      • plotFrc.m - Compute and plot the frequency response curve
      • plotSim.m - Plot the SIM
      • setParam.m - function that take the parameter of the system and put them inside structure
      • getFixedPoint.m - Compute the fixed points of the slow flow equations

Paper Description

The paper deal with the passive control of resonant systems using nonlinear energy sink (NES).The objective is to highlight the benefits of adding nonlinear geometrical damping in addition tothe cubic stiffness nonlinearity. The behavior of the system is investigated theoretically by usingthe mixed harmonic balance multiple scales method. Based on the obtained slow flow equations,a design procedure that maximize the dynamic range of the NES is presented. Singularity theoryis used to express conditions for the birth of detached resonance cure independently of the forcingfrequency. It is shown that the presence of a detached resonance curve is not necessarily detrimentalto the performance of the NES. Moreover, the detached resonce curve can be completely suppressedby adding nonlinear damping. The results of the design procedure are the compared to numericalsimulations.

Files

jtcam-data-13289.zip

Files (91.8 kB)

Name Size Download all
md5:e1810c6ee8a5fb145e15991719674868
91.8 kB Preview Download

Additional details

Related works

Is cited by
Journal article: 10.46298/jtcam.13289 (DOI)