Phase Space Dissimilarity Measures for Structural Health Monitoring

Bubacz, Jacob A; Chmielewski, Hana T; Pape, Alexander E; Depersio, Andrew J; Hively, Lee M; Abercrombie, Robert K; Boone, Shane

doi:10.2172/1029952

Title: Phase Space Dissimilarity Measures for Structural Health Monitoring

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Abstract

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.

Authors:

Bubacz, Jacob A ^[1]; Chmielewski, Hana T ^[1]; Pape, Alexander E ^[1]; Depersio, Andrew J ^[1]; Hively, Lee M ^[1]; Abercrombie, Robert K ^[1]; Boone, Shane ^[1]

ORNL

Publication Date:: 2011-11-01

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: Work for Others (WFO)

OSTI Identifier:: 1029952

Report Number(s):: ORNL/TM-2011/260
TRN: US201124%%410

DOE Contract Number:: DE-AC05-00OR22725

Resource Type:: Technical Report

Country of Publication:: United States

Language:: English

Subject:: 47 OTHER INSTRUMENTATION; ACCELEROMETERS; ALGORITHMS; MONITORING; PHASE SPACE; PROCESSING; SENSORS

Citation Formats


                    Bubacz, Jacob A, Chmielewski, Hana T, Pape, Alexander E, Depersio, Andrew J, Hively, Lee M, Abercrombie, Robert K, and Boone, Shane. Phase Space Dissimilarity Measures for Structural Health Monitoring.  United States: N. p., 2011. 
        Web.  doi:10.2172/1029952.

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                    Bubacz, Jacob A, Chmielewski, Hana T, Pape, Alexander E, Depersio, Andrew J, Hively, Lee M, Abercrombie, Robert K, & Boone, Shane. Phase Space Dissimilarity Measures for Structural Health Monitoring.  United States.  https://doi.org/10.2172/1029952

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                    Bubacz, Jacob A, Chmielewski, Hana T, Pape, Alexander E, Depersio, Andrew J, Hively, Lee M, Abercrombie, Robert K, and Boone, Shane. 2011.  
        "Phase Space Dissimilarity Measures for Structural Health Monitoring".  United States.  https://doi.org/10.2172/1029952.  https://www.osti.gov/servlets/purl/1029952.

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@article{osti_1029952,

  title        = {Phase Space Dissimilarity Measures for Structural Health Monitoring},

  author       = {Bubacz, Jacob A and Chmielewski, Hana T and Pape, Alexander E and Depersio, Andrew J and Hively, Lee M and Abercrombie, Robert K and Boone, Shane},

  abstractNote = {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.},

  doi          = {10.2172/1029952},

  url          = {https://www.osti.gov/biblio/1029952},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2011},

  month        = {11}

}

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