Statistical Analysis of Monitoring Data for Concrete Arch Dams

Major dams in the world are often instrumented and monitored in order to detect anomalies, and to enable a timely response either in the form of repairs, reservoir management, or evacuation. Traditionally, the analysis of monitoring data has been done on an instrument-by-instrument basis, which is t...

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Bibliographic Details
Published inJournal of performance of constructed facilities Vol. 9; no. 4; pp. 286 - 301
Main Authors Chouinard, Luc E, Bennett, David W, Feknous, Nadia
Format Journal Article
LanguageEnglish
Published Reston, VA American Society of Civil Engineers 01.11.1995
Subjects
Applied sciences
Buildings. Public works
Dams and subsidiary installations
Exact sciences and technology
Hydraulic constructions
Mathematical models
Q1
Structural analysis
TECHNICAL PAPERS
Data analysis
Concrete
Statistical analysis
Instruments
Arch dams
Defect detection
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Summary:Major dams in the world are often instrumented and monitored in order to detect anomalies, and to enable a timely response either in the form of repairs, reservoir management, or evacuation. Traditionally, the analysis of monitoring data has been done on an instrument-by-instrument basis, which is tedious to perform and difficult to interpret. The objective of this paper is to propose a statistical estimation procedure, principal component analysis, to identify the principal modes of deformation of the dam from a historical record of instruments. This approach reduces the number of analyses that need to be performed, provides a more representative model for the response of the dam, and a more robust model for the detection of the onset of anomalies in the response of the facility.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0887-3828
1943-5509
DOI:10.1061/(ASCE)0887-3828(1995)9:4(286)