Abstract
Structural health monitoring (SHM) provides relevant information on structural health prognosis for existing structures. This information can be used to improve the accuracy associated with structural performance prediction, and lead to more rational life-cycle management of civil infrastructure systems under uncertainty. This chapter presents the statistical and probabilistic approaches for efficient prognosis and life-cycle performance assessment using SHM information. The concepts of the statistics of extremes and exceedance probability are employed to estimate availability of SHM data and structural performance prediction. In order to quantify the performance prediction error, the loss function is presented. The general concept of life-cycle evaluation, the possible effects of SHM on structural performance and service life prediction, and a practical approach to integrating SHM into life-cycle performance analysis of deteriorating civil infrastructures are investigated. Furthermore, the probabilistic optimum SHM planning is presented.
Published Version
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