No Cover Image

Journal article 1267 views

Perturbation methods for the estimation of parameter variability in stochastic model updating

Hamed Haddad Khodaparast, John E Mottershead, Michael Friswell, Hamed Haddad Khodaparast Orcid Logo

Mechanical Systems and Signal Processing, Volume: 22, Issue: 8, Pages: 1751 - 1773

Swansea University Authors: Michael Friswell, Hamed Haddad Khodaparast Orcid Logo

Full text not available from this repository: check for access using links below.

Check full text

DOI (Published version): 10.1016/j.ymssp.2008.03.001

Published in: Mechanical Systems and Signal Processing
ISSN: 0888-3270
Published: 2008
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa15772
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2013-09-07T01:58:38Z
last_indexed 2018-02-09T04:47:53Z
id cronfa15772
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2016-08-17T13:08:51.6137183</datestamp><bib-version>v2</bib-version><id>15772</id><entry>2013-09-06</entry><title>Perturbation methods for the estimation of parameter variability in stochastic model updating</title><swanseaauthors><author><sid>5894777b8f9c6e64bde3568d68078d40</sid><firstname>Michael</firstname><surname>Friswell</surname><name>Michael Friswell</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>f207b17edda9c4c3ea074cbb7555efc1</sid><ORCID>0000-0002-3721-4980</ORCID><firstname>Hamed</firstname><surname>Haddad Khodaparast</surname><name>Hamed Haddad Khodaparast</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2013-09-06</date><deptcode>FGSEN</deptcode><abstract></abstract><type>Journal Article</type><journal>Mechanical Systems and Signal Processing</journal><volume>22</volume><journalNumber>8</journalNumber><paginationStart>1751</paginationStart><paginationEnd>1773</paginationEnd><publisher/><issnPrint>0888-3270</issnPrint><keywords/><publishedDay>30</publishedDay><publishedMonth>11</publishedMonth><publishedYear>2008</publishedYear><publishedDate>2008-11-30</publishedDate><doi>10.1016/j.ymssp.2008.03.001</doi><url/><notes>Conventional model updating methods have been well developed and are widely used in the industry. However, most of the existing methods are restricted to the assessment of Epistemic (reducible) uncertainties. Funded by the European Union's 6th Framework Project, this paper proposes an efficient probabilistic model updating method based on perturbation theory and validates the results experimentally. The method is capable of taking into account aleatoric (irreducible) uncertainties, such as the accumulated effects of manufacturing tolerances on the natural frequencies of nominally identical structures. This research has led to collaboration with DLR (German Aerospace Centre, http://www.dlr.de ).</notes><college>COLLEGE NANME</college><department>Science and Engineering - Faculty</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>FGSEN</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2016-08-17T13:08:51.6137183</lastEdited><Created>2013-09-06T12:53:21.1337111</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Engineering and Applied Sciences - Uncategorised</level></path><authors><author><firstname>Hamed Haddad</firstname><surname>Khodaparast</surname><order>1</order></author><author><firstname>John E</firstname><surname>Mottershead</surname><order>2</order></author><author><firstname>Michael</firstname><surname>Friswell</surname><order>3</order></author><author><firstname>Hamed</firstname><surname>Haddad Khodaparast</surname><orcid>0000-0002-3721-4980</orcid><order>4</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 2016-08-17T13:08:51.6137183 v2 15772 2013-09-06 Perturbation methods for the estimation of parameter variability in stochastic model updating 5894777b8f9c6e64bde3568d68078d40 Michael Friswell Michael Friswell true false f207b17edda9c4c3ea074cbb7555efc1 0000-0002-3721-4980 Hamed Haddad Khodaparast Hamed Haddad Khodaparast true false 2013-09-06 FGSEN Journal Article Mechanical Systems and Signal Processing 22 8 1751 1773 0888-3270 30 11 2008 2008-11-30 10.1016/j.ymssp.2008.03.001 Conventional model updating methods have been well developed and are widely used in the industry. However, most of the existing methods are restricted to the assessment of Epistemic (reducible) uncertainties. Funded by the European Union's 6th Framework Project, this paper proposes an efficient probabilistic model updating method based on perturbation theory and validates the results experimentally. The method is capable of taking into account aleatoric (irreducible) uncertainties, such as the accumulated effects of manufacturing tolerances on the natural frequencies of nominally identical structures. This research has led to collaboration with DLR (German Aerospace Centre, http://www.dlr.de ). COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2016-08-17T13:08:51.6137183 2013-09-06T12:53:21.1337111 Faculty of Science and Engineering School of Engineering and Applied Sciences - Uncategorised Hamed Haddad Khodaparast 1 John E Mottershead 2 Michael Friswell 3 Hamed Haddad Khodaparast 0000-0002-3721-4980 4
title Perturbation methods for the estimation of parameter variability in stochastic model updating
spellingShingle Perturbation methods for the estimation of parameter variability in stochastic model updating
Michael Friswell
Hamed Haddad Khodaparast
title_short Perturbation methods for the estimation of parameter variability in stochastic model updating
title_full Perturbation methods for the estimation of parameter variability in stochastic model updating
title_fullStr Perturbation methods for the estimation of parameter variability in stochastic model updating
title_full_unstemmed Perturbation methods for the estimation of parameter variability in stochastic model updating
title_sort Perturbation methods for the estimation of parameter variability in stochastic model updating
author_id_str_mv 5894777b8f9c6e64bde3568d68078d40
f207b17edda9c4c3ea074cbb7555efc1
author_id_fullname_str_mv 5894777b8f9c6e64bde3568d68078d40_***_Michael Friswell
f207b17edda9c4c3ea074cbb7555efc1_***_Hamed Haddad Khodaparast
author Michael Friswell
Hamed Haddad Khodaparast
author2 Hamed Haddad Khodaparast
John E Mottershead
Michael Friswell
Hamed Haddad Khodaparast
format Journal article
container_title Mechanical Systems and Signal Processing
container_volume 22
container_issue 8
container_start_page 1751
publishDate 2008
institution Swansea University
issn 0888-3270
doi_str_mv 10.1016/j.ymssp.2008.03.001
college_str Faculty of Science and Engineering
hierarchytype
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 0
active_str 0
published_date 2008-11-30T03:17:57Z
_version_ 1763750420998520832
score 11.012924

Similar Items