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Title: Phase Space Dissimilarity Measures for Structural Health Monitoring

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:
 [1];  [1];  [1];  [1];  [1];  [1];  [1]
  1. ORNL
Publication Date:
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.
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
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.
@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}
}