Abstract

In recent decades, nonlinear damping identification (NDI) in structural dynamics has attracted wide research interests and intensive studies. Different NDI strategies, from conventional to more advanced, have been developed for a variety of structural types. With apparent advantages over classical linear methods, these strategies are able to quantify the nonlinear damping characteristics, providing powerful tools for the analysis and design of complex engineering structures. Since the current trend in many applications tends to more advanced and sophisticated applications, it is of great necessity to work on developing these methods to keep pace with this progress. Moreover, NDI can provide an effective and promising tool for structural damage detection purposes, where the changes in the dynamic features of structures can be correlated with damage levels. This review paper provides an overview of NDI methods by explaining the fundamental challenges and potentials of these methods based on the available literature. Furthermore, this research offers a comprehensive survey of different applications and future research trends of NDI. For potential development and application work for nonlinear damping methods, the anticipated results and recommendations of the current paper can assist researchers and developers worldwide to find out the gaps and unsolved issues in the field of NDI.

Highlights

  • In recent decades, a huge number of engineering structures such as various civil structures, rotating machines, aircraft, etc., have been designed and widely used in real life-services [1]

  • The Equivalent Linearization method is considered the most accessible tool extensively used for analyzing nonlinear stochastic problems, but its accuracy depends on the averaging process [76]

  • The results showed that harmonic balance nonlinearity identification (HBNID) worked well in determining unknown parameters if the model structure was identified

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Summary

A Critical Review of Nonlinear Damping Identification in Structural Dynamics

Tareq Al-hababi 1 , Maosen Cao 2,3, *, Bassiouny Saleh 4 , Nizar Faisal Alkayem 5 and Hao Xu 6. Jiangxi Provincial Key Laboratory of Environmental Geotechnical Engineering and Disaster Control, Jiangxi University of Science and Technology, Ganzhou 341000, China. Nantong Ocean and Coastal Engineering Research Institute, Hohai University, Nantong 226000, China. Received: 12 November 2020; Accepted: 12 December 2020; Published: 19 December 2020

Introduction
Nonlinear Damping Identification Methods
Linearization Methods
Time-Domain Methods
Frequency-Domain Methods
Time-Frequency Methods
Modal Methods
Black-Box Modeling
Model Updating Methods
Limitations
Combined methods provide a powerful tool
A Slightingly
Galerkin Method and Finite Difference
Trending Applications
Automotive Applications
Rotors Applications
Bridges Applications
Buildings Applications
Marine Applications
Findings
Summary and Recommended Research Directions
Full Text
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