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Long-Term Monitoring Strategy for Concrete-Based Structures Using Nonlinear Kalman Filtering

Published

Author(s)

Kenneth A. Snyder, Z Q. Lu, J Philip

Abstract

Kalman filtering is introduced as a rational means for developing a monitoring strategy for concrete structures. The mathematics and utility of linear Kalman filters are presented briefly, and the use of linear filters is demonstrated for Fickian diffusion. The nonlinear extended Kalman filter is introduced and its utility in estimating a transport parameter is demonstrated. The concrete service life computer program 4SIGHT is introduced briefly and combined with nonlinear filtering to refined the transport coefficient from a laboratory diffusion experiment. A fictitious monitoring strategy is presented that uses Kalman filtering to both refine estimates and extend the time between monitoring intervals. The advantages to using Kalman filtering, along with the remaining technical difficulties, are discussed.
Proceedings Title
NUCPERF 2006 Corrosion and Long Term Performance of Concrete in NPP and Waste Facilities | | | CEA
Conference Dates
March 27-30, 2006
Conference Location
Cadarache, FR
Conference Title
NUCPERF Conference Proceedings

Keywords

concrete, Kalman filter, monitoring, performance assessment, service life

Citation

Snyder, K. , Lu, Z. and Philip, J. (2006), Long-Term Monitoring Strategy for Concrete-Based Structures Using Nonlinear Kalman Filtering, NUCPERF 2006 Corrosion and Long Term Performance of Concrete in NPP and Waste Facilities | | | CEA, Cadarache, FR (Accessed May 18, 2024)

Issues

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Created November 1, 2006, Updated February 19, 2017