Introduction
Structural health monitoring (SHM) refers to the process of developing and implementing a damage identification strategy for structural applications in civil, aerospace, and mechanical domains (Farrar and Worden 2007). Structural health monitoring techniques play a vital role in earthquake engineering, because they can be used to monitor the performance of structures that have been subjected to earthquakes. This is established through the use of a combination of strategically placed array of sensors and a variety of mathematical methods and techniques, all of which constitute the overall structural health monitoring system.
An ideal SHM system allows rapid assessment of structure, which is particularly relevant in the aftermath of an earthquake, and supports decisions regarding repairs and replacements that are necessary for maintenance, rehabilitation, and...
References
Achenbach JD (2000) Quantitative nondestructive evaluation. Int J Solids Struct 37(1):13–27
Arulampalam MS, Maskell S, Gordon N, Clapp T (2002) A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking. IEEE Trans Signal Process 50(2):174–188
Beck, James L (1989) Statistical System Identification of Structures. In: Proceedings of ICOSSAR ’89, the 5th International Conference on Structural Safety and Reliability, San Francisco, August 7–11, 1989. ASCE, New York, pp. 1395–1402
Calvetti D, Somersalo E (2007) An introduction to Bayesian scientific computing: ten lectures on subjective computing, vol 2. Springer, New York
Ching J, Beck JL, Porter KA (2006) Bayesian state and parameter estimation of uncertain dynamical systems. Probab Eng Mech 21(1):81–96
Dalai M, Weyer E, Campi MC (2005) Parametric Identification of Nonlinear Systems: Guaranteed Confidence Regions. In: Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC ’05. 44th IEEE Conference on, Seville, 12–15 Dec 2005 pp 6418–6423
Farrar CR, Worden K (2007) An introduction to structural health monitoring. Philos Trans R Soc A Math Phys Eng Sci 365(1851):303–315
Fisher RA (1930) Statistical methods for research workers 3rd edn. Oliver and Boyd, London
Gamerman D, Migon HS (1999) Statistical inference: an integrated approach
Jeffreys H (1998) The theory of probability. Oxford University Press, Oxford, UK
Jiang X, Mahadevan S (2008) Bayesian wavelet methodology for structural damage detection. Struct Control Health Monit 15(7):974–991
Kalman RE, Bucy RS (1961) New results in linear filtering and prediction theory. J Basic Eng 83(3):95–108
Leonard T, Hsu JSJ (1999) Bayesian methods: an analysis for statisticians and interdisciplinary researchers, vol 5. Cambridge University Press, Cambridge
McKeeman WM (1962) Algorithm 145: adaptive numerical integration by Simpson’s rule. Commun ACM 5(12):604
Mosterman PJ, Biswas G (1999) Diagnosis of continuous valued systems in transient operating regions. IEEE Trans Syst Man Cybern Part A 29(6):554–565
Moustafa A, Mahadevan S, Daigle M, Biswas G (2010) Structural and sensor damage identification using the bond graph approach. Struct Control Health Monit 17(2):178–197
Pawitan Y (2001) In all likelihood: statistical modelling and inference using likelihood. Oxford University Press, Oxford
Peterka V (1981) Bayesian approach to system identification. Trends and progress in system identification, vol 1. Pergamon Press, Oxford, pp 239–304
Romano JP (2005) Testing statistical hypotheses. Springer, New York
Sankararaman S, Mahadevan S (2011) Uncertainty quantification in structural damage diagnosis. Struct Control Health Monit 18(8):807–824
Sankararaman S, Mahadevan S (2013) Bayesian methodology for diagnosis uncertainty quantification and health monitoring. Struct Control Health Monit 20(1):88–106
Seber GAF, Wild CJ (1989) Nonlinear regression. Wiley, New York
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer-Verlag Berlin Heidelberg
About this entry
Cite this entry
Sankararaman, S., Mahadevan, S. (2014). Uncertainty Quantification in Structural Health Monitoring. In: Beer, M., Kougioumtzoglou, I., Patelli, E., Au, IK. (eds) Encyclopedia of Earthquake Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36197-5_281-1
Download citation
DOI: https://doi.org/10.1007/978-3-642-36197-5_281-1
Received:
Accepted:
Published:
Publisher Name: Springer, Berlin, Heidelberg
Online ISBN: 978-3-642-36197-5
eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering