Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/53582

TitleStatistical analysis of reinforced concrete bridges in Estonia
Author(s)Sein, Sander
Matos, José C.
Idnurm, Juhan
KeywordsBridge management
Condition assessment
Multivariate analysis
Principal component analysis
Statistical analysis
Visual inspections
Issue date2017
PublisherVilnius Gediminas Technical University Press
JournalBaltic Journal of Road and Bridge Engineering
CitationSein, S., Matos, J. C., & Idnurm, J. (2017). STATISTICAL ANALYSIS OF REINFORCED CONCRETE BRIDGES IN ESTONIA. Baltic Journal of Road & Bridge Engineering, 12(4).
Abstract(s)This paper introduces a possible way to use a multivariate methodology, called principal component analysis, to reduce the dimensionality of condition state database of bridge elements, collected during visual inspections. Attention is paid to the condition assessment of bridges in Estonian national roads and collected data, which plays an important role in the selection of correct statistical technique and obtaining reliable results. Additionally, detailed overview of typical road bridges and examples of collected information is provided. Statistical analysis is carried out by most natural reinforced concrete bridges in Estonia and comparison is made among different typologies. The introduced multivariate technique algorithms are presented and collated in two different formulations, with contrast on unevenness in variables and taking into account the missing data. Principal components and weighing factors, which are calculated for bridges with different typology, also have differences in results and element groups where variation is retained
TypeArticle
URIhttp://hdl.handle.net/1822/53582
DOI10.3846/bjrbe.2017.28
ISSN1822-427X
e-ISSN1822-4288
Publisher versionhttp://old.bjrbe.vgtu.lt/volumes/en/volume12/number4/03.php
Peer-Reviewedyes
AccessOpen access
Appears in Collections:ISISE - Artigos em Revistas Internacionais

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