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Title: Methods for forewarning of critical condition changes in monitoring civil structures

Abstract

Sensor modules (12) including accelerometers (20) are placed on a physical structure (10) and tri-axial accelerometer data is converted to mechanical power (P) data (41) which then processed to provide a forewarning (57) of a critical event concerning the physical structure (10). The forewarning is based on a number of occurrences of a composite measure of dissimilarity (C.sub.i) exceeding a forewarning threshold over a defined sampling time; and a forewarning signal (58) is provided to a human observer through a visual, audible or tangible signal. A forewarning of a structural failure can also be provided based on a number of occurrences of (C.sub.i) above a failure value threshold.

Inventors:
;
Publication Date:
Research Org.:
ORO (Oak Ridge Office, Oak Ridge, TN (United States))
Sponsoring Org.:
USDOE
OSTI Identifier:
1083901
Patent Number(s):
8,410,952
Application Number:
12/962,787
Assignee:
UT-Battelle, LLC (Oak Ridge, TN)
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Patent
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION

Citation Formats

Abercrombie, Robert K., and Hively, Lee M. Methods for forewarning of critical condition changes in monitoring civil structures. United States: N. p., 2013. Web.
Abercrombie, Robert K., & Hively, Lee M. Methods for forewarning of critical condition changes in monitoring civil structures. United States.
Abercrombie, Robert K., and Hively, Lee M. 2013. "Methods for forewarning of critical condition changes in monitoring civil structures". United States. https://www.osti.gov/servlets/purl/1083901.
@article{osti_1083901,
title = {Methods for forewarning of critical condition changes in monitoring civil structures},
author = {Abercrombie, Robert K. and Hively, Lee M.},
abstractNote = {Sensor modules (12) including accelerometers (20) are placed on a physical structure (10) and tri-axial accelerometer data is converted to mechanical power (P) data (41) which then processed to provide a forewarning (57) of a critical event concerning the physical structure (10). The forewarning is based on a number of occurrences of a composite measure of dissimilarity (C.sub.i) exceeding a forewarning threshold over a defined sampling time; and a forewarning signal (58) is provided to a human observer through a visual, audible or tangible signal. A forewarning of a structural failure can also be provided based on a number of occurrences of (C.sub.i) above a failure value threshold.},
doi = {},
url = {https://www.osti.gov/biblio/1083901}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2013},
month = {4}
}

Works referenced in this record:

A Wireless Sensor Network Compatible Triaxial Accelerometer: Application for Detection of Falls in the Elderly
journal, April 2008


Design, fabrication and testing of a component HIC tester for aircraft applications
journal, May 2005


A triaxial accelerometer and portable data processing unit for the assessment of daily physical activity
journal, March 1997


A shell model for tyre belt vibrations
journal, May 2010