Development of damage detection algorithms for structural systems based on structural dynamic data

Development of damage detection algorithms for structural systems based on structural dynamic data

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Bibliographic Details
Main Author: Zumpano, Giuseppe
Other Authors: Meo, Michele
Published: Cranfield University 2005
Subjects:
620.86
Online Access:http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.438092
id ndltd-bl.uk-oai-ethos.bl.uk-438092
record_format oai_dc
spelling ndltd-bl.uk-oai-ethos.bl.uk-4380922018-05-12T03:23:48ZDevelopment of damage detection algorithms for structural systems based on structural dynamic dataZumpano, GiuseppeMeo, Michele2005620.86Cranfield Universityhttp://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.438092http://dspace.lib.cranfield.ac.uk/handle/1826/4231Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 620.86
spellingShingle 620.86
Zumpano, Giuseppe
Development of damage detection algorithms for structural systems based on structural dynamic data
author2 Meo, Michele
author_facet Meo, Michele
Zumpano, Giuseppe
author Zumpano, Giuseppe
author_sort Zumpano, Giuseppe
title Development of damage detection algorithms for structural systems based on structural dynamic data
title_short Development of damage detection algorithms for structural systems based on structural dynamic data
title_full Development of damage detection algorithms for structural systems based on structural dynamic data
title_fullStr Development of damage detection algorithms for structural systems based on structural dynamic data
title_full_unstemmed Development of damage detection algorithms for structural systems based on structural dynamic data
title_sort development of damage detection algorithms for structural systems based on structural dynamic data
publisher Cranfield University
publishDate 2005
url http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.438092
work_keys_str_mv AT zumpanogiuseppe developmentofdamagedetectionalgorithmsforstructuralsystemsbasedonstructuraldynamicdata
_version_ 1718636763216347136

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