Equivalent Dynamic Stiffness Mapping technique for identifying nonlinear structural elements from frequency response functions

Abstract A simple and general Equivalent Dynamic Stiffness Mapping technique is proposed for identifying the parameters or the mathematical model of a nonlinear structural element with steady-state primary harmonic frequency response functions (FRFs). The Equivalent Dynamic Stiffness is defined as the complex ratio between the internal force and the displacement response of unknown element. Obtained with the test data of responses׳ frequencies and amplitudes, the real and imaginary part of Equivalent Dynamic Stiffness are plotted as discrete points in a three dimensional space over the displacement amplitude and the frequency, which are called the real and the imaginary Equivalent Dynamic Stiffness map, respectively. These points will form a repeatable surface as the Equivalent Dynamic stiffness is only a function of the corresponding data as derived in the paper. The mathematical model of the unknown element can then be obtained by surface-fitting these points with special functions selected by priori knowledge of the nonlinear type or with ordinary polynomials if the type of nonlinearity is not pre-known. An important merit of this technique is its capability of dealing with strong nonlinearities owning complicated frequency response behaviors such as jumps and breaks in resonance curves. In addition, this technique could also greatly simplify the test procedure. Besides there is no need to pre-identify the underlying linear parameters, the method uses the measured data of excitation forces and responses without requiring a strict control of the excitation force during the test. The proposed technique is demonstrated and validated with four classical single-degree-of-freedom (SDOF) numerical examples and one experimental example. An application of this technique for identification of nonlinearity from multiple-degree-of-freedom (MDOF) systems is also illustrated.

[1]  M. A. Al-Hadid,et al.  Developments in the force-state mapping technique for non-linear systems and the extension to the location of non-linear elements in a lumped-parameter system , 1989 .

[2]  Sami F. Masri,et al.  A Nonparametric Identification Technique for Nonlinear Dynamic Problems , 1979 .

[3]  Michael Link,et al.  NON-LINEAR EXPERIMENTAL MODAL ANALYSIS AND APPLICATION TO SATELLITE VIBRATION TEST DATA , 2011 .

[4]  Alexander F. Vakakis,et al.  NON-LINEAR NORMAL MODES (NNMs) AND THEIR APPLICATIONS IN VIBRATION THEORY: AN OVERVIEW , 1997 .

[5]  Edward F. Crawley,et al.  Force-state mapping identification of nonlinear joints , 1987 .

[6]  H. B. Bai,et al.  Damping capacity measurement of elastic porous wire-mesh material in wide temperature range , 2008 .

[7]  Dennis Goege Fast Identification and Characterization of Nonlinearities in Experimental Modal Analysis of Large Aircraft , 2007 .

[8]  Douglas E. Adams,et al.  A time and frequency domain approach for identifying nonlinear mechanical system models in the absence of an input measurement , 2005 .

[9]  Dennis Göge,et al.  Advanced Test Strategy for Identification and Characterization of Nonlinearities of Aerospace Structures , 2005 .

[10]  S. Masri,et al.  Identification of the state equation in complex non-linear systems , 2004 .

[11]  Arthur Gelb,et al.  Multiple-Input Describing Functions and Nonlinear System Design , 1968 .

[12]  Murat Aykan,et al.  Parametric identification of structural nonlinearities from measured frequency response data , 2011 .

[13]  Gaëtan Kerschen,et al.  Modal testing of nonlinear vibrating structures based on nonlinear normal modes: Experimental demonstration , 2011 .

[14]  G. Y. Wang,et al.  Vibration of two beams connected by nonlinear isolators: analytical and experimental study , 2010 .

[15]  Hassan Jalali,et al.  Characterization of dominant mechanisms in contact interface restoring forces , 2012 .

[16]  Hamid Ahmadian,et al.  Identification of nonlinear boundary effects using nonlinear normal modes , 2009 .

[17]  R. M. Rosenberg,et al.  The Normal Modes of Nonlinear n-Degree-of-Freedom Systems , 1962 .

[18]  Louis Jezequel,et al.  Non-linear modal analysis applied to an industrial structure , 1999 .

[19]  D. J. Ewins,et al.  Identifying and quantifying structural nonlinearities in engineering applications from measured frequency response functions , 2011 .

[20]  Gaëtan Kerschen,et al.  THEORETICAL AND EXPERIMENTAL IDENTIFICATION OF A NON-LINEAR BEAM , 2001 .

[21]  K. Worden,et al.  Past, present and future of nonlinear system identification in structural dynamics , 2006 .

[22]  Brett P. Masters,et al.  Multiple degree of freedom force-state component identification , 1993 .

[23]  Murat Aykan,et al.  Parametric identification of nonlinearity in structural systems using describing function inversion , 2013 .

[24]  Won-Jin Kimm,et al.  Non-linear joint parameter identification by applying the force-state mapping technique in the frequency domain , 1994 .

[25]  Dennis Göge,et al.  Detection and description of non-linear phenomena in experimental modal analysis via linearity plots , 2005 .

[26]  G. Tomlinson,et al.  Nonlinearity in Structural Dynamics: Detection, Identification and Modelling , 2000 .

[27]  Jonathan E. Cooper,et al.  Identification of backbone curves of nonlinear systems from resonance decay responses , 2015 .

[28]  R. M. Rosenberg,et al.  On Nonlinear Vibrations of Systems with Many Degrees of Freedom , 1966 .

[29]  Edward F. Crawley,et al.  Identification of nonlinear structural elements by force-state mapping , 1984 .

[30]  B. Kuran,et al.  A MODAL SUPERPOSITION METHOD FOR NON-LINEAR STRUCTURES , 1996 .

[31]  Jem A. Rongong,et al.  System identification methods for metal rubber devices , 2013 .

[32]  Thomas J. Royston,et al.  Identification of structural non-linearities using describing functions and the Sherman-Morrison method , 2005 .