Damping ratio measurements of multi-degree-of-freedom systems

  • MD MAHBUB ALAM orcid

    Center for Turbulence Control, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China

  • Feiran Chen orcid

    Center for Turbulence Control, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China

  • Hongjun Zhu orcid

    State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China

  • Chunning Ji orcid

    State Key Laboratory of Hydraulic Engineering Intelligent Construction and Operation, Tianjin University, Tianjin 300350, China

  • Mostafa Zeinoddini

    Faculty of Civil Engineering, K.N. Toosi University of Technology, Tehran 19697-64499, Iran

  • Vahid Tamimi orcid

    School of Civil Engineering, Iran University of Science and Technology, Tehran 16846-13114, Iran

  • Tinghai Cheng orcid

    Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China

Article ID: 3752
Keywords: modal damping ratio; MDOF systems; filter-based method; HQGM; modal coupling

Abstract

Accurate estimation of modal damping ratios is essential for predicting and controlling the dynamic response of multi-degree-of-freedom (MDOF) structures, particularly in bridge and structural vibration studies. Despite the availability of various methods for estimating damping ratios in MDOF systems, most approaches rely on modal decoupling, which often involves considerable complexity and effort. This work introduces two approaches that eliminate the need for modal decoupling: a filter-based method and an improved Half-Quadratic Gain Method (HQGM). The filter-based approach extracts decay characteristics directly from displacement signals using frequency-domain filtering and logarithmic envelope analysis, achieving damping ratio estimates within 3% error for both free and forced vibrations and for systems with low or high damping. The HQGM, originally formulated for single-degree-of-freedom systems, is extended here to MDOF systems and further enhanced by a correction formula that suppresses coupling-induced secondary peaks in frequency response functions. Comparative analysis demonstrates that while the original HQGM performs well in weakly coupled systems, the improved HQGM yields superior accuracy under strong coupling conditions. Both methods provide a robust framework for identifying damping characteristics across a wide range of dynamic systems. The proposed techniques offer practical advantages for structural engineering applications, where damping properties are difficult to measure directly.

Published
2026-02-05
How to Cite
ALAM, M. M., Chen, F., Zhu, H., Ji, C., Zeinoddini, M., Tamimi, V., & Cheng, T. (2026). Damping ratio measurements of multi-degree-of-freedom systems. Sound & Vibration, 60(1), 1-31. https://doi.org/10.59400/sv3752
Section
Article

References

[1]Cheynet E, Jakobsen JB, Snæbjörnsson J. Damping estimation of large wind-sensitive structures. Procedia Engineering. 2017; 199: 2047–2053. doi: 10.1016/j.proeng.2017.09.471

[2]Peng S, Alam MM, Zhou Y. Fluid-structure interaction of a fixed-fixed high-aspect-ratio flexible wing in crossflow. Journal of Fluids and Structures. 2026; 141: 104486. doi: 10.1016/j.jfluidstructs.2025.104486

[3]Li Z, Li P, Jiang Z, et al. Difference of bridge damping ratio under different excitations. Journal of Vibration and Shock. 2016; 35(3): 62–67.

[4]Bhatt R, Alam MM. Vibrations of a square cylinder submerged in a wake. Journal of Fluid Mechanics. 2018; 853: 301–332. doi: 10.1017/jfm.2018.573

[5]Lin C, Alam MM. Intrinsic features of flow-induced stability of a square cylinder. Journal of Fluid Mechanics. 2024; 988: A50. doi: 10.1017/jfm.2024.445

[6]Casiano MJ. Extracting Damping Ratio from Dynamic Data and Numerical Solutions. NASA Marshall Space Flight Center; 2016.

[7]Naylor S, Platten MF, Wright JR, et al. Identification of Multi-Degree of Freedom Systems with Nonproportional Damping Using the Resonant Decay Method. Journal of Vibration and Acoustics. 2004; 126(2): 298–306. doi: 10.1115/1.1687395

[8]Meo M, Zumpano G, Meng X, et al. Measurements of dynamic properties of a medium span suspension bridge by using the wavelet transforms. Mechanical Systems and Signal Processing. 2006; 20(5): 1112–1133. doi: 10.1016/j.ymssp.2004.09.008

[9]Wang Z, Zhai F. The identification method of damping ratio of closely-space MDOF system using analytic wavelet. Journal of Qingdao University of Science and Technology (Natural Science Edition). 2006; 27(4): 347–351.

[10]Ku CJ, Cermak JE, Chou L-S. Random decrement based method for modal parameter identification of a dynamic system using acceleration responses. Journal of Wind Engineering and Industrial Aerodynamics. 2007; 95(6): 389–410. doi: 10.1016/j.jweia.2006.08.004

[11]He XH, Hua XG, Chen ZQ, et al. EMD-based random decrement technique for modal parameter identification of an existing railway bridge. Engineering Structures. 2011; 33(4): 1348–1356. doi: 10.1016/j.engstruct.2011.01.012

[12]Yang XM, Yi TH, Qu CX, et al. Modal Identification of High-Speed Railway Bridges through Free-Vibration Detection. Journal of Engineering Mechanics. 2020; 146(9): 04020107. doi: 10.1061/(ASCE)EM.1943-7889.0001847

[13]Dan D, Yu X, Han F, et al. Research on dynamic behavior and traffic management decision-making of suspension bridge after vortex-induced vibration event. Structural Health Monitoring. 2022; 21(3): 872–886. doi: 10.1177/14759217211011582

[14]Niu Y, Ye Y, Zhao W, et al. Identifying Modal Parameters of a Multispan Bridge Based on High-Rate GNSS–RTK Measurement Using the CEEMD–RDT Approach. Journal of Bridge Engineering. 2021; 26(8): 04021049. doi: 10.1061/(ASCE)BE.1943-5592.0001754

[15]Hallal J, Fakih M, Damerji H, et al. Experimental Modal Damping Identification of a Mechanical Structure Using Video Magnification Technique. Sound & Vibration. 2021; 55(2): 131–140. doi: 10.32604/sv.2021.015293

[16]Tsatsas I, Pontillo A, Lone M. Aeroelastic Damping Estimation for a Flexible High-Aspect-Ratio Wing. Journal of Aerospace Engineering. 2022; 35(2): 04021135. doi: 10.1061/(ASCE)AS.1943-5525.0001390

[17]Olmos BA, Roesset JM. Evaluation of the half‐power bandwidth method to estimate damping in systems without real modes. Earthquake Engineering & Structural Dynamics. 2010; 39(14): 1671–1686. doi: 10.1002/eqe.1010

[18]López-Aragón JA, Puchol V, Astiz MA. Influence of the modal damping ratio calculation method in the analysis of dynamic events obtained in structural health monitoring of bridges. Journal of Civil Structural Health Monitoring. 2024; 14(5): 1191–1213. doi: 10.1007/s13349-023-00760-y

[19]Lee TS, Ooi EH, Chang WS, et al. Fractal grid-induced turbulence strength characterization via piezoelectric thin-film flapping velocimetry. Scientific Reports. 2021; 11(1): 23322. doi: 10.1038/s41598-021-02680-7

[20]Liu Q, Wang Y, Sun P, et al. Comparative Analysis of Viscous Damping Model and Hysteretic Damping Model. Applied Sciences. 2022; 12(23): 12107. doi: 10.3390/app122312107

[21]Köhler A, Ohrnberger M, Scherbaum F, et al. Assessing the reliability of the modified three-component spatial autocorrelation technique. Geophysical Journal International. 2007; 168(2): 779–796. doi: 10.1111/j.1365-246X.2006.03253.x

[22]Qin B, Alam MM, Zhou Y. Two tandem cylinders of different diameters in cross-flow: Flow-induced vibration. Journal of Fluid Mechanics. 2017; 829: 621–658. doi: 10.1017/jfm.2017.510

[23]Qin B, Alam MM, Zhou Y. Free vibrations of two tandem elastically mounted cylinders in crossflow. Journal of Fluid Mechanics. 2019; 861: 349–381. doi: 10.1017/jfm.2018.913

[24]Zhang Q, Jiang B, Huang W, et al. Effect of wellhead tension on buckling load of tubular strings in vertical wells. Journal of Petroleum Science and Engineering. 2018; 164: 351–361. doi: 10.1016/j.petrol.2018.01.059

[25]Govardhan R, Williamson CHK. Modes of vortex formation and frequency response of a freely vibrating cylinder. Journal of Fluid Mechanics. 2000; 420: 85–130. doi: 10.1017/S0022112000001233

[26]Williamson CHK, Govardhan R. Vortex-induced vibrations. Annual Review of Fluid Mechanics. 2004; 36(1): 413–455. doi: 10.1146/annurev.fluid.36.050802.122128