Utilize este identificador para referenciar este registo: http://hdl.handle.net/1822/52656

TítuloAn overview on nature-inspired optimization algorithms for Structural Health Monitoring of historical buildings
Autor(es)Barontini, Alberto
Masciotta, Maria-Giovanna
Ramos, Luís F.
Amado-Mendes, Paulo
Lourenço, Paulo B.
Palavras-chaveHistorical building conservation
structural health monitoring
damage identification
optimal sensor placement
nature-inspired algorithm
Data2017
EditoraElsevier Science BV
RevistaProcedia Engineering
Resumo(s)Structural Health Monitoring (SHM) of historical building is an emerging field of research aimed at the development of strategies for on-line assessment of structural condition and identification of damage in the earliest stage. Built heritage is weak against operational and environmental condition and preservation must guarantee minimum repair and non-intrusiveness. SHM provides a cost-effective management and maintenance allowing prevention and prioritization of the interventions. Recently, in computer science, mimicking nature to address complex problems is becoming more frequent. Nature-inspired approaches turn out to be extremely efficient in facing optimization, commonly used to analyze engineering processes in SHM, providing interesting advantages when compared with classic methods. This paper begins with an introduction to Natural Computing. Then, focusing on its applications to SHM, possible improvements in built heritage conservation are shown and discussed suggesting a general framework for safety assessment and damage identification of existing structures.
TipoconferencePaper
URIhttp://hdl.handle.net/1822/52656
DOI10.1016/j.proeng.2017.09.439
ISSN1877-7058
Arbitragem científicayes
AcessoopenAccess
Aparece nas coleções:ISISE - Comunicações a Conferências Internacionais

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
Barontini1.pdf499,27 kBAdobe PDFVer/Abrir

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 Currículo DeGóis