Localisation, characterisation and Identification of localised nonlinearity in structural dynamics using base excitation frequency response functions

被引：0

作者：

Taghipour, J. ^{[1
]}

Khodaparast, H. Haddad ^{[1
]}

Friswell, M. I. ^{[1
]}

Jalali, H. ^{[1
]}

Madinei, H. ^{[1
]}

Wang, X. ^{[2
]}

机构：

[1] Swansea Univ, Coll Engn, Engn Cent, Bay Campus, Swansea, W Glam, Wales

[2] Univ Bristol, Dept Mech Engn, Queens Bldg,Univ Walk, Bristol BS8 1TR, Avon, England

来源：

PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2018) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2018) | 2018年

基金：

英国工程与自然科学研究理事会;

关键词：

Nonlinear structural dynamics; Identification; Frequency response function; Finite element model updating; Equivalent Dynamic Stiffness Mapping; Base excitation; STEADY-STATE DYNAMICS; SYSTEM-IDENTIFICATION; ENGINEERING APPLICATIONS; PARAMETER-ESTIMATION; MODEL SELECTION; LOCATION; ELEMENTS;

D O I：

暂无

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Identification of structural nonlinearities has been of great interest over recent decades. In addition, due to high cost and time requirements, it is not practical to have complete experimental measurements. This study is initially focused on the localisation of structural nonlinearities using an approach based on spatially incomplete experimental frequency domain data from a structural vibration test. A cantilever beam with a nonlinear restoring force is considered under stepped-sine base excitation. An updated linear finite element model and the Craig-Bampton reduction method is used to obtain the reduced nonlinear forces (RNFs) in the measured region, leading to the location decision for nonlinear elements. Then, the Equivalent Dynamic Stiffness Mapping technique is used for characterization and mathematical modelling of the unknown nonlinearities. This technique utilizes the ratio of internal forces and the displacement response of the unknown elements (F/X) in the frequency domain as the Equivalent Dynamic Stiffness.

引用

页码：2127 / 2138

页数：12

共 25 条

[1]

ALHADID MA, 1989, MECH SYST SIGNAL PR, V3, P269

[2] Model selection and parameter estimation in structural dynamics using approximate Bayesian computation [J].

Ben Abdessalem, Anis ;

Dervilis, Nikolaos ;

Wagg, David ;

Worden, Keith .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018, 99 :306-325

[3] Identifying and quantifying structural nonlinearities in engineering applications from measured frequency response functions [J].

Carrella, A. ;

Ewins, D. J. .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2011, 25 (03) :1011-1027

[4] Volterra-series-based nonlinear system modeling and its engineering applications: A state-of-the-art review [J].

Cheng, C. M. ;

Peng, Z. K. ;

Zhang, W. M. ;

Meng, G. .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2017, 87 :340-364

[5] IDENTIFICATION OF NONLINEAR STRUCTURAL ELEMENTS BY FORCE-STATE MAPPING [J].

CRAWLEY, EF ;

AUBERT, AC .

AIAA JOURNAL, 1986, 24 (01) :155-162

[6] FORCE-STATE MAPPING IDENTIFICATION OF NONLINEAR JOINTS [J].

CRAWLEY, EF ;

ODONNELL, KJ .

AIAA JOURNAL, 1987, 25 (07) :1003-1010

[7]

Ewins DJ, 1995, MODAL TESTING THEORY

[8] Nonparametric identification of asymmetric nonlinear vibration systems with the Hilbert transform [J].

Feldman, M. .

JOURNAL OF SOUND AND VIBRATION, 2012, 331 (14) :3386-3396

[9] Hilbert transform methods for nonparametric identification of nonlinear time varying vibration systems [J].

Feldman, Michael .

MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2014, 47 (1-2) :66-77

[10]

Friswell M.I., 1995, Finite Element Model Updating in Structural Dynamics.

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