Phase Space Dissimilarity Measures for Structural Health Monitoring

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A novel method for structural health monitoring (SHM), known as the Phase Space Dissimilarity Measures (PSDM) approach, is proposed and developed. The patented PSDM approach has already been developed and demonstrated for a variety of equipment and biomedical applications. Here, we investigate SHM of bridges via analysis of time serial accelerometer measurements. This work has four aspects. The first is algorithm scalability, which was found to scale linearly from one processing core to four cores. Second, the same data are analyzed to determine how the use of the PSDM approach affects sensor placement. We found that a relatively low-density placement ... continued below

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Bubacz, Jacob A; Chmielewski, Hana T; Pape, Alexander E; Depersio, Andrew J; Hively, Lee M; Abercrombie, Robert K et al. November 1, 2011.

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Description

A novel method for structural health monitoring (SHM), known as the Phase Space Dissimilarity Measures (PSDM) approach, is proposed and developed. The patented PSDM approach has already been developed and demonstrated for a variety of equipment and biomedical applications. Here, we investigate SHM of bridges via analysis of time serial accelerometer measurements. This work has four aspects. The first is algorithm scalability, which was found to scale linearly from one processing core to four cores. Second, the same data are analyzed to determine how the use of the PSDM approach affects sensor placement. We found that a relatively low-density placement sufficiently captures the dynamics of the structure. Third, the same data are analyzed by unique combinations of accelerometer axes (vertical, longitudinal, and lateral with respect to the bridge) to determine how the choice of axes affects the analysis. The vertical axis is found to provide satisfactory SHM data. Fourth, statistical methods were investigated to validate the PSDM approach for this application, yielding statistically significant results.

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  • Report No.: ORNL/TM-2011/260
  • Grant Number: DE-AC05-00OR22725
  • DOI: 10.2172/1029952 | External Link
  • Office of Scientific & Technical Information Report Number: 1029952
  • Archival Resource Key: ark:/67531/metadc843836

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Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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  • November 1, 2011

Added to The UNT Digital Library

  • May 19, 2016, 3:16 p.m.

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  • June 10, 2016, 3:48 p.m.

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Bubacz, Jacob A; Chmielewski, Hana T; Pape, Alexander E; Depersio, Andrew J; Hively, Lee M; Abercrombie, Robert K et al. Phase Space Dissimilarity Measures for Structural Health Monitoring, report, November 1, 2011; United States. (digital.library.unt.edu/ark:/67531/metadc843836/: accessed December 17, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.