@inproceedings{0777e0de9e4942978defcd9dbdfed5b7,
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",
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",
note = "Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2014 ; Conference date: 10-03-2014 Through 13-03-2014",
}