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Estimation of beam material random field properties via sensitivity-based model updating using experimental frequency response functions

M.R. Machado, S. Adhikari, J.M.C. Dos Santos, J.R.F. Arruda, Sondipon Adhikari

Mechanical Systems and Signal Processing, Volume: 102, Pages: 180 - 197

Swansea University Author: Sondipon Adhikari

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DOI (Published version): 10.1016/j.ymssp.2017.08.039

Abstract

Structural parameter estimation is affected not only by measurement noise but also by unknown uncertainties which are present in the system. Deterministic structural model updating methods minimise the difference between experimentally measured data and computational prediction. Sensitivity-based me...

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Published in: Mechanical Systems and Signal Processing
ISSN: 0888-3270
Published: 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa35620
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first_indexed 2017-09-25T13:07:14Z
last_indexed 2018-02-09T05:27:00Z
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spelling 2017-11-10T13:07:46.5026079 v2 35620 2017-09-25 Estimation of beam material random field properties via sensitivity-based model updating using experimental frequency response functions 4ea84d67c4e414f5ccbd7593a40f04d3 Sondipon Adhikari Sondipon Adhikari true false 2017-09-25 FGSEN Structural parameter estimation is affected not only by measurement noise but also by unknown uncertainties which are present in the system. Deterministic structural model updating methods minimise the difference between experimentally measured data and computational prediction. Sensitivity-based methods are very efficient in solving structural model updating problems. Material and geometrical parameters of the structure such as Poisson’s ratio, Young’s modulus, mass density, modal damping, etc. are usually considered deterministic and homogeneous. In this paper, the distributed and non-homogeneous characteristics of these parameters are considered in the model updating. The parameters are taken as spatially correlated random fields and are expanded in a spectral Karhunen-Loève (KL) decomposition. Using the KL expansion, the spectral dynamic stiffness matrix of the beam is expanded as a series in terms of discretized parameters, which can be estimated using sensitivity-based model updating techniques. Numerical and experimental tests involving a beam with distributed bending rigidity and mass density are used to verify the proposed method. This extension of standard model updating procedures can enhance the dynamic description of structural dynamic models. Journal Article Mechanical Systems and Signal Processing 102 180 197 0888-3270 Parameter estimation; Sensitivity-based model updating; Random field 1 3 2018 2018-03-01 10.1016/j.ymssp.2017.08.039 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2017-11-10T13:07:46.5026079 2017-09-25T09:30:14.6373475 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised M.R. Machado 1 S. Adhikari 2 J.M.C. Dos Santos 3 J.R.F. Arruda 4 Sondipon Adhikari 5 0035620-10112017130715.pdf machado2017.pdf 2017-11-10T13:07:15.5830000 Output 787080 application/pdf Accepted Manuscript true 2018-09-23T00:00:00.0000000 false eng
title Estimation of beam material random field properties via sensitivity-based model updating using experimental frequency response functions
spellingShingle Estimation of beam material random field properties via sensitivity-based model updating using experimental frequency response functions
Sondipon Adhikari
title_short Estimation of beam material random field properties via sensitivity-based model updating using experimental frequency response functions
title_full Estimation of beam material random field properties via sensitivity-based model updating using experimental frequency response functions
title_fullStr Estimation of beam material random field properties via sensitivity-based model updating using experimental frequency response functions
title_full_unstemmed Estimation of beam material random field properties via sensitivity-based model updating using experimental frequency response functions
title_sort Estimation of beam material random field properties via sensitivity-based model updating using experimental frequency response functions
author_id_str_mv 4ea84d67c4e414f5ccbd7593a40f04d3
author_id_fullname_str_mv 4ea84d67c4e414f5ccbd7593a40f04d3_***_Sondipon Adhikari
author Sondipon Adhikari
author2 M.R. Machado
S. Adhikari
J.M.C. Dos Santos
J.R.F. Arruda
Sondipon Adhikari
format Journal article
container_title Mechanical Systems and Signal Processing
container_volume 102
container_start_page 180
publishDate 2018
institution Swansea University
issn 0888-3270
doi_str_mv 10.1016/j.ymssp.2017.08.039
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Uncategorised{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Uncategorised
document_store_str 1
active_str 0
description Structural parameter estimation is affected not only by measurement noise but also by unknown uncertainties which are present in the system. Deterministic structural model updating methods minimise the difference between experimentally measured data and computational prediction. Sensitivity-based methods are very efficient in solving structural model updating problems. Material and geometrical parameters of the structure such as Poisson’s ratio, Young’s modulus, mass density, modal damping, etc. are usually considered deterministic and homogeneous. In this paper, the distributed and non-homogeneous characteristics of these parameters are considered in the model updating. The parameters are taken as spatially correlated random fields and are expanded in a spectral Karhunen-Loève (KL) decomposition. Using the KL expansion, the spectral dynamic stiffness matrix of the beam is expanded as a series in terms of discretized parameters, which can be estimated using sensitivity-based model updating techniques. Numerical and experimental tests involving a beam with distributed bending rigidity and mass density are used to verify the proposed method. This extension of standard model updating procedures can enhance the dynamic description of structural dynamic models.
published_date 2018-03-01T03:44:22Z
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score 11.036334

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