Analysis of vibration suppression performance of combined grounded damping nonlinear energy sink

Nonlinear energy sink (NES) systems primarily dissipate energy through damping components, and the location of these components significantly influences system performance. However, the impact of grounded damping—particularly grounded nonlinear damping—on the vibration suppression performance of NES systems has not been sufficiently studied. In this paper, grounded linear damping and grounded cubic damping are introduced into a combined stiffness NES, where the stiffness consists of piecewise linear and cubic terms. This leads to a novel combined grounded damping NES. The complex dynamic characteristics of this 2-degree-of-freedom system are analyzed. Using the complexification-averaging method, an analytical solution for the system amplitude is derived. Based on the slow-flow equations, the influence of system parameters on the topological shape of the slow invariant manifold (SIM) is investigated. Furthermore, the vibration suppression performance of the optimized combined stiffness NES, grounded linear damping NES, grounded cubic damping NES, and combined grounded damping NES is evaluated under various harmonic and random excitations using the nutcracker optimization algorithm (NOA). The results show that introducing grounded linear and cubic damping into the combined stiffness NES effectively improves its vibration suppression performance. The proposed combined grounded damping NES also exhibits significant potential for vibration suppression under different types of excitation.

Authors

Institutions

Publication Details

Journal
Journal of Vibration and Control
Published
2026-01-16
DOI
https://doi.org/10.1177/10775463251410838
Primary Topic
Vibration Control and Rheological Fluids
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of vibration suppression performance of combined grounded damping nonlinear energy sink

Haihua Wang, Zijian Yang, Jun Wang
Journal of Vibration and Control
Vibration Control and Rheological Fluids
article

Analysis of vibration suppression performance of combined grounded damping nonlinear energy sink

Haihua Wang, Zijian Yang, Jun Wang
article en

Abstract

Nonlinear energy sink (NES) systems primarily dissipate energy through damping components, and the location of these components significantly influences system performance. However, the impact of grounded damping—particularly grounded nonlinear damping—on the vibration suppression performance of NES systems has not been sufficiently studied. In this paper, grounded linear damping and grounded cubic damping are introduced into a combined stiffness NES, where the stiffness consists of piecewise linear and cubic terms. This leads to a novel combined grounded damping NES. The complex dynamic characteristics of this 2-degree-of-freedom system are analyzed. Using the complexification-averaging method, an analytical solution for the system amplitude is derived. Based on the slow-flow equations, the influence of system parameters on the topological shape of the slow invariant manifold (SIM) is investigated. Furthermore, the vibration suppression performance of the optimized combined stiffness NES, grounded linear damping NES, grounded cubic damping NES, and combined grounded damping NES is evaluated under various harmonic and random excitations using the nutcracker optimization algorithm (NOA). The results show that introducing grounded linear and cubic damping into the combined stiffness NES effectively improves its vibration suppression performance. The proposed combined grounded damping NES also exhibits significant potential for vibration suppression under different types of excitation.

Journal of Vibration and Control
Shijiazhuang Tiedao University (CN)
Affordable and clean energy
Openalex Percentile: Top 86%
Vibration Control and Rheological Fluids
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.