JOURNAL ARTICLE

Modal Energy Equivalence Method for Calculating Amplitude-Dependent Viscous Damping of Distributed Stick–Slip Systems.

  • Published In: International Journal of Structural Stability & Dynamics, 2026, v. 26, n. 14. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: He, Chong; Sun, Feifei; Li, Guo-Qiang 3 of 3

Abstract

The stick–slip mechanism caused by interfacial friction is one of the primary sources of structural damping, with its damping contribution commonly quantified by the equivalent viscous damping ratio (EVDR). To date, no method is available to calculate the amplitude-dependent modal EVDR of a multi-degree-of-freedom system with a distributed stick–slip mechanism. This study presented a novel method named the modal energy equivalence method (MEEM) to calculate the amplitude-dependent EVDR for normal modes of a distributed stick–slip system (DSSS). Based on a generalized single-degree-of-freedom stick–slip system, the analytical expression for the amplitude-dependent EVDR was developed in modal coordinates by applying the energy balance principle. The seismic analysis results indicated that the MEEM could effectively capture the three-stage amplitude dependence of modal EVDR and provide accurate response estimates over a wide amplitude range for the DSSS. Finally, for practical applications of the MEEM, the Rayleigh damping was determined with multi-modal EVDRs using the linear least squares method, and its effectiveness was validated based on the responses from the equivalent analysis. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Structural Stability & Dynamics. 2026/06, Vol. 26, Issue 14, p1
  • Document Type:Article
  • Subject Area:Physics
  • Publication Date:2026
  • ISSN:0219-4554
  • DOI:10.1142/S0219455426501166
  • Accession Number:192787884
  • Copyright Statement:Copyright of International Journal of Structural Stability & Dynamics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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