Quantification of the value of monitoring information for deteriorated structures

Lijia Long

doi:10.54337/aau443239061

Quantification of the value of monitoring information for deteriorated structures

Lijia Long

Publikation: Ph.d.-afhandling

176 Downloads (Pure)

Originalsprog	Engelsk
Vejledere	Sørensen, John Dalsgaard, Hovedvejleder Thöns, Sebastian , Bivejleder, Ekstern person Alcover, Isaac Farreras , Virksomhedsvejleder, Ekstern person
Eksterne samarbejdspartnere	COWI A/S
Udgiver	Aalborg Universitetsforlag
ISBN'er, elektronisk	978-87-7210-675-5
DOI	https://doi.org/10.54337/aau443239061
Status	Udgivet - 2021

Bibliografisk note

PhD supervisor:
Prof. John Dalsgaard Sørensen, Aalborg University, Denmark

Local academic supervisor:
Prof. Sebastian Thöns, Lund University, Sweden, BAM Federal Institute of Material Research and Testing

Industrial co-supervisor:
Dr. Isaac Farreras Alcover, COWI A/S, Denmark

Adgang til dokumentet

10.54337/aau443239061

PHD_LL_E-pdfForlagets udgivne version, 10,6 MB

AUB Link

Søg efter materialet i Aalborg Universitetsbiblioteks søgemaskine

Citationsformater

@misc{1d4fcc5a893b4c4daa3abe57d9087c3a,

title = "Quantification of the value of monitoring information for deteriorated structures",

keywords = "SHM, decision making, damage detection, value of information, deterioration model, wind turbine, bridge, maintenance, Bayesian updating, probabilistic model",

author = "Lijia Long",

note = "PhD supervisor: Prof. John Dalsgaard S{\o}rensen, Aalborg University, Denmark Local academic supervisor: Prof. Sebastian Th{\"o}ns, Lund University, Sweden, BAM Federal Institute of Material Research and Testing Industrial co-supervisor: Dr. Isaac Farreras Alcover, COWI A/S, Denmark",

year = "2021",

doi = "10.54337/aau443239061",

language = "English",

series = "Ph.d.-serien for Det Ingeni{\o}r- og Naturvidenskabelige Fakultet, Aalborg Universitet",

publisher = "Aalborg Universitetsforlag",

}

TY - GEN

T1 - Quantification of the value of monitoring information for deteriorated structures

AU - Long, Lijia

N1 - PhD supervisor: Prof. John Dalsgaard Sørensen, Aalborg University, Denmark Local academic supervisor: Prof. Sebastian Thöns, Lund University, Sweden, BAM Federal Institute of Material Research and Testing Industrial co-supervisor: Dr. Isaac Farreras Alcover, COWI A/S, Denmark

PY - 2021

Y1 - 2021

KW - SHM

KW - decision making

KW - damage detection

KW - value of information

KW - deterioration model

KW - wind turbine

KW - bridge

KW - maintenance

KW - Bayesian updating

KW - probabilistic model

U2 - 10.54337/aau443239061

DO - 10.54337/aau443239061

M3 - PhD thesis

T3 - Ph.d.-serien for Det Ingeniør- og Naturvidenskabelige Fakultet, Aalborg Universitet

PB - Aalborg Universitetsforlag

ER -