Interpretation of stabilization diagrams using density-based clustering algorithm

•A density-based algorithm for manual and automatic identification is proposed.•The proposed methodology is based on OPTICS clustering algorithm.•A new parameter to estimate the reliability of an identified mode is presented. The estimation of modal parameters is a critical requirement in structural...

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Bibliographic Details
Published in:Engineering structures Vol. 178; pp. 245 - 257
Main Authors: Boroschek, Ruben L., Bilbao, Joaquin A.
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01.01.2019
Elsevier BV
Subjects:
Algorithms
Automation
Building construction
Clustering
Damage detection
Density distribution
Earthquake damage
Earthquakes
OPTICS
Parameter estimation
Seismic activity
Seismic design
Seismic engineering
Stability diagrams
Stabilization
Structural damage
Structural health monitoring
System identification
Vibration monitoring
System identification
OPTICS
Stability diagrams
Clustering
ISSN:0141-0296, 1873-7323
Online Access:Get full text
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Summary:•A density-based algorithm for manual and automatic identification is proposed.•The proposed methodology is based on OPTICS clustering algorithm.•A new parameter to estimate the reliability of an identified mode is presented. The estimation of modal parameters is a critical requirement in structural health monitoring, damage detection, design validation, among other topics. The most prevalent methodology for manual identification is via an interpretation of a stabilization diagram. A density-based algorithm for automatically interpreting this type of diagram is proposed. The method employs three stages of interpretation. First, hard criteria are used to discard distinct spurious modes. Second, a density-based algorithm, Ordering Points to Identify the Clustering Structure (OPTICS), is used to cluster data. Finally, the modal parameters are selected taking into account the density distribution of the clustered values. Automation on the procedure is proposed, tested and applied to the vibration measurements of a building structure that has been continuously monitored since 2009. The results indicate a satisfactory interpretation, despite the low signal-to-noise ratios, the effect of induced electric noise, the low density of the sensors, different ambient conditions, and the occurrence of earthquake events.
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ISSN:0141-0296
1873-7323
DOI:10.1016/j.engstruct.2018.09.091