PARAMETER IDENTIFICATION VIA GPCE-BASED STOCHASTIC INVERSE METHODS FOR RELIABILITY ASSESSMENT OF EXISTING STRUCTURES

This paper focuses on updating the probability distribution function of the parameters that govern the reliability of existing buildings using measurements of observable responses of the structure. Herein efficient stochastic approaches are presented using functional approximation for the probabilistic description of the observable structural response. It is shown through a toy example, that such update may be used for the reliability assessment of structures, for which no destructive tests are allowed. In this article different approaches are discussed, and the implementation of a method, namely a general polynomial chaos based ensemble Kalman filter is considered. The main goal of this paper is to draw attention to the perspective, that the given methods may be applied for a smart, on-line monitoring of critical structures.