Techno Press
Techno Press

Structural Engineering and Mechanics   Volume 13, Number 2, February 2002, pages 117-134
Confidence region of identified parameters and optimal sensor locations based on sensitivity analysis
Tetsushi Kurita and Kunihito Matsui (Japan)

Abstract     [Full Text]
    This paper presents a computational method for a confidence region of identified parameters
which are affected by measurement noise and error contained in prescribed parameters. The method is
based on sensitivities of the identified parameters with respect to model parameter error and measurement
noise along with the law of error propagation. By conducting numerical experiments on simple models, it
is confirmed that the confidence region coincides well with the results of numerical experiments.
Furthermore, the optimum arrangement of sensor locations is evaluated when uncertainty exists in
prescribed parameters, based on the concept that square sum of coefficients of variations of identified
results attains minimum. Good agreement of the theoretical results with those of numerical simulation
confirmed validity of the theory.
Key Words
    parameter identification; sensitivity analysis; confidence region; optimal sensor location.
Tetsushi Kurita, Seismic Engineering Department, Tokyo Electric Power Services Co. Ltd., Higashi-Ueno 3-3-3, Taito-ku, Tokyo 110-0015, Japan
Kunihito Matsui, Department of Civil Engineering, Tokyo Denki University, Hatoyama, Hiki, Saitama 350-0394, Japan

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