Multi-scale structural health monitoring technologies

Y. L. Xu, B. F. Spencer

Research output: Contribution to journalConference article

Abstract

This study presents multi-scale structural health monitoring (SHM) technologies for large civil structures. It involves four major tasks: (1) the multi-scale finite element modeling of a large civil structure that can integrate the global structural model equipped with global sensors with the local structural details installed with local sensors; (2) the development of multi-scale model updating method that uses multi-scale updating parameters and objective functions together with the Kriging method; (3) the optimal placement of multi-type sensors that can integrate global and local sensors, minimize the required number of sensors, and increase the accuracy of damage detection via best response reconstruction; and (4) the development of multi-scale damage detection method that can synthesize the measurement data from different sensors with different scales. The accuracy of the proposed technologies is validated by conducting various experimental studies.

Fingerprint

Structural health monitoring
Sensors
Damage detection

Keywords

  • Damage detection
  • Large civil structures
  • Multi-scale
  • Structural health monitoring

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

Cite this

Multi-scale structural health monitoring technologies. / Xu, Y. L.; Spencer, B. F.

In: International Conference on Advances in Experimental Structural Engineering, Vol. 2015-August, 01.01.2015.

Research output: Contribution to journalConference article

@article{798c7d937e404899967252c6440d9083,
title = "Multi-scale structural health monitoring technologies",
abstract = "This study presents multi-scale structural health monitoring (SHM) technologies for large civil structures. It involves four major tasks: (1) the multi-scale finite element modeling of a large civil structure that can integrate the global structural model equipped with global sensors with the local structural details installed with local sensors; (2) the development of multi-scale model updating method that uses multi-scale updating parameters and objective functions together with the Kriging method; (3) the optimal placement of multi-type sensors that can integrate global and local sensors, minimize the required number of sensors, and increase the accuracy of damage detection via best response reconstruction; and (4) the development of multi-scale damage detection method that can synthesize the measurement data from different sensors with different scales. The accuracy of the proposed technologies is validated by conducting various experimental studies.",
keywords = "Damage detection, Large civil structures, Multi-scale, Structural health monitoring",
author = "Xu, {Y. L.} and Spencer, {B. F.}",
year = "2015",
month = "1",
day = "1",
language = "English (US)",
volume = "2015-August",
journal = "International Conference on Advances in Experimental Structural Engineering",
issn = "2522-2503",

}

TY - JOUR

T1 - Multi-scale structural health monitoring technologies

AU - Xu, Y. L.

AU - Spencer, B. F.

PY - 2015/1/1

Y1 - 2015/1/1

N2 - This study presents multi-scale structural health monitoring (SHM) technologies for large civil structures. It involves four major tasks: (1) the multi-scale finite element modeling of a large civil structure that can integrate the global structural model equipped with global sensors with the local structural details installed with local sensors; (2) the development of multi-scale model updating method that uses multi-scale updating parameters and objective functions together with the Kriging method; (3) the optimal placement of multi-type sensors that can integrate global and local sensors, minimize the required number of sensors, and increase the accuracy of damage detection via best response reconstruction; and (4) the development of multi-scale damage detection method that can synthesize the measurement data from different sensors with different scales. The accuracy of the proposed technologies is validated by conducting various experimental studies.

AB - This study presents multi-scale structural health monitoring (SHM) technologies for large civil structures. It involves four major tasks: (1) the multi-scale finite element modeling of a large civil structure that can integrate the global structural model equipped with global sensors with the local structural details installed with local sensors; (2) the development of multi-scale model updating method that uses multi-scale updating parameters and objective functions together with the Kriging method; (3) the optimal placement of multi-type sensors that can integrate global and local sensors, minimize the required number of sensors, and increase the accuracy of damage detection via best response reconstruction; and (4) the development of multi-scale damage detection method that can synthesize the measurement data from different sensors with different scales. The accuracy of the proposed technologies is validated by conducting various experimental studies.

KW - Damage detection

KW - Large civil structures

KW - Multi-scale

KW - Structural health monitoring

UR - http://www.scopus.com/inward/record.url?scp=85061067543&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85061067543&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85061067543

VL - 2015-August

JO - International Conference on Advances in Experimental Structural Engineering

JF - International Conference on Advances in Experimental Structural Engineering

SN - 2522-2503

ER -