Multi-metric model-based structural health monitoring

Hongki Jo, B. F. Spencer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The inspection and maintenance of bridges of all types is critical to the public safety and often critical to the economy of a region. Recent advanced sensor technologies provide accurate and easy-to-deploy means for structural health monitoring and, if the critical locations are known a priori, can be monitored by direct measurements. However, for today's complex civil infrastructure, the critical locations are numerous and often difficult to identify. This paper presents an innovative framework for structural monitoring at arbitrary locations on the structure combining computational models and limited physical sensor information. The use of multi-metric measurements is advocated to improve the accuracy of the approach. A numerical example is provided to illustrate the proposed hybrid monitoring framework, particularly focusing on fatigue life assessment of steel structures.

Original languageEnglish (US)
Title of host publicationSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014
PublisherSPIE
ISBN (Print)9780819499875
DOIs
StatePublished - Jan 1 2014
EventSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014 - San Diego, CA, United States
Duration: Mar 10 2014Mar 13 2014

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9061
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherSensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014
CountryUnited States
CitySan Diego, CA
Period3/10/143/13/14

Fingerprint

structural health monitoring
Structural health monitoring
Health Monitoring
Model-based
Metric
Monitoring
steel structures
Sensor
fatigue life
sensors
Sensors
Fatigue Life
economy
Steel structures
Computational Model
maintenance
Inspection
inspection
Steel
safety

Keywords

  • Kalman filter
  • Model-based monitoring
  • Multi-metric sensing
  • Structural health monitoring

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Jo, H., & Spencer, B. F. (2014). Multi-metric model-based structural health monitoring. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014 [90611F] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9061). SPIE. https://doi.org/10.1117/12.2045126

Multi-metric model-based structural health monitoring. / Jo, Hongki; Spencer, B. F.

Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014. SPIE, 2014. 90611F (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 9061).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jo, H & Spencer, BF 2014, Multi-metric model-based structural health monitoring. in Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014., 90611F, Proceedings of SPIE - The International Society for Optical Engineering, vol. 9061, SPIE, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014, San Diego, CA, United States, 3/10/14. https://doi.org/10.1117/12.2045126
Jo H, Spencer BF. Multi-metric model-based structural health monitoring. In Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014. SPIE. 2014. 90611F. (Proceedings of SPIE - The International Society for Optical Engineering). https://doi.org/10.1117/12.2045126
Jo, Hongki ; Spencer, B. F. / Multi-metric model-based structural health monitoring. Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014. SPIE, 2014. (Proceedings of SPIE - The International Society for Optical Engineering).
@inproceedings{c707c8a5bc764005a243af409b0ead8b,
title = "Multi-metric model-based structural health monitoring",
abstract = "The inspection and maintenance of bridges of all types is critical to the public safety and often critical to the economy of a region. Recent advanced sensor technologies provide accurate and easy-to-deploy means for structural health monitoring and, if the critical locations are known a priori, can be monitored by direct measurements. However, for today's complex civil infrastructure, the critical locations are numerous and often difficult to identify. This paper presents an innovative framework for structural monitoring at arbitrary locations on the structure combining computational models and limited physical sensor information. The use of multi-metric measurements is advocated to improve the accuracy of the approach. A numerical example is provided to illustrate the proposed hybrid monitoring framework, particularly focusing on fatigue life assessment of steel structures.",
keywords = "Kalman filter, Model-based monitoring, Multi-metric sensing, Structural health monitoring",
author = "Hongki Jo and Spencer, {B. F.}",
year = "2014",
month = "1",
day = "1",
doi = "10.1117/12.2045126",
language = "English (US)",
isbn = "9780819499875",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
booktitle = "Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014",

}

TY - GEN

T1 - Multi-metric model-based structural health monitoring

AU - Jo, Hongki

AU - Spencer, B. F.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - The inspection and maintenance of bridges of all types is critical to the public safety and often critical to the economy of a region. Recent advanced sensor technologies provide accurate and easy-to-deploy means for structural health monitoring and, if the critical locations are known a priori, can be monitored by direct measurements. However, for today's complex civil infrastructure, the critical locations are numerous and often difficult to identify. This paper presents an innovative framework for structural monitoring at arbitrary locations on the structure combining computational models and limited physical sensor information. The use of multi-metric measurements is advocated to improve the accuracy of the approach. A numerical example is provided to illustrate the proposed hybrid monitoring framework, particularly focusing on fatigue life assessment of steel structures.

AB - The inspection and maintenance of bridges of all types is critical to the public safety and often critical to the economy of a region. Recent advanced sensor technologies provide accurate and easy-to-deploy means for structural health monitoring and, if the critical locations are known a priori, can be monitored by direct measurements. However, for today's complex civil infrastructure, the critical locations are numerous and often difficult to identify. This paper presents an innovative framework for structural monitoring at arbitrary locations on the structure combining computational models and limited physical sensor information. The use of multi-metric measurements is advocated to improve the accuracy of the approach. A numerical example is provided to illustrate the proposed hybrid monitoring framework, particularly focusing on fatigue life assessment of steel structures.

KW - Kalman filter

KW - Model-based monitoring

KW - Multi-metric sensing

KW - Structural health monitoring

UR - http://www.scopus.com/inward/record.url?scp=84902200789&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84902200789&partnerID=8YFLogxK

U2 - 10.1117/12.2045126

DO - 10.1117/12.2045126

M3 - Conference contribution

AN - SCOPUS:84902200789

SN - 9780819499875

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014

PB - SPIE

ER -