eprintid: 11701
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/17/01
datestamp: 2023-11-10 03:26:13
lastmod: 2023-11-10 03:26:13
status_changed: 2023-11-10 01:15:54
type: conference_item
metadata_visibility: show
creators_name: Lim, E.S.
creators_name: Liew, M.S.
title: Nonlinear System Identification of Structures Subject to Stochastic Loadings
ispublished: pub
keywords: Communication channels (information theory); Earthquake engineering; Engineering geology; Equations of motion; Frequency estimation; Frequency response; Geophysics; Iterative methods; MIMO systems; Nonlinear systems; Religious buildings; Spectrum analysis; Stochastic systems, Duffing oscillator; Equation of motion; Frequency response functions; Non-linear stiffness; Non-linear structural behaviours; Non-linear system identification; Physical parameters; Spectral estimation techniques, Nonlinear equations
note: cited By 0; Conference of 2nd National Colloquium on Wind and Earthquake Engineering, NCWE 2018 ; Conference Date: 17 August 2018 Through 18 August 2018; Conference Code:146114
abstract: This paper intends to explore the application of the Reverse Multiple Input Multiple Output (R-MISO) technique in the system identification of nonlinear structural behaviour. This paper introduces two concepts in improving the identification estimates of multiple inputs and nonlinear systems, which is the conditioned spectral estimation technique and the inversion of the frequency response function formulas. In this paper, a linear equation of motion with a nonlinear Duffing oscillator is modelled and tested using this technique in order to model the typical nonlinear stiffness characteristics of materials and their design limit. The results indicate a good fit between the predicted physical parameters and the model properties. The nonlinearities were successfully isolated in a non-iterative procedure and the parameters were correctly identified. Multiple coherency was used as a tool to describe the various contributions of the inputs to the system outputs. © 2019 Published under licence by IOP Publishing Ltd.
date: 2019
publisher: Institute of Physics Publishing
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85063517310&doi=10.1088%2f1755-1315%2f244%2f1%2f012029&partnerID=40&md5=91341d913e4e5ba088568d1518997286
id_number: 10.1088/1755-1315/244/1/012029
full_text_status: none
publication: IOP Conference Series: Earth and Environmental Science
volume: 244
number: 1
refereed: TRUE
issn: 17551307
citation:   Lim, E.S. and Liew, M.S.  (2019) Nonlinear System Identification of Structures Subject to Stochastic Loadings.  In: UNSPECIFIED.