Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/14521

TitleHealth monitoring system (HMS) for structural assessment
Author(s)Matos, José C.
Garcia, Oscar
Henriques, A. Abel
Ramon Casas, Joan
Vehí, Josep
Keywordsuncertainty
Modal Interval Analysis (MIA)
perturbation method
structural assessment
Health Monitoring System (HMS)
Issue dateMay-2009
PublisherTechno Press
JournalSmart Structures & Systems
Abstract(s)As in any engineering application, the problem of structural assessment should face the diferente uncertainties present in real world. The main source of uncertainty in Health Monitoring System (HMS) applications are those related to the sensor accuracy, the theoretical models and the variability in structural parameters and applied loads. In present work, two methodologies have been developed to deal with these uncertainties in order to adopt reliable decisions related to the presence of damage. A simple example, a steel beam analysis, is considered in order to establish a liable comparison between them. Also, such methodologies are used with a developed structural assessment algorithm that consists in a direct and consistent comparison between sensor data and numerical model results, both affected by uncertainty. Such algorithm is applied to a simple concrete laboratory beam, tested till rupture, to show it feasibility and operational process. From these applications several conclusions are derived with a high value, regarding the final objective of the work, which is the implementation of this algorithm within a HMS, developed and applied into a prototype structure.
TypeArticle
URIhttp://hdl.handle.net/1822/14521
ISSN1738-1584
Publisher versionhttp://technopress.kaist.ac.kr/?page=container&journal=sss&volume=5&num=3
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:ISISE - Artigos em Revistas Internacionais

Files in This Item:
File Description SizeFormat 
4.pdf
  Restricted access
2,38 MBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID