PROBABILISTIC APPROACH FOR ESTIMATING RESIDUAL STRENGTH OF CORRODED RC STRUCTURES USING LSTM NETWORK

Abstract

Corrosion crack width can provide effective information to evaluate the deterioration level of in situ corroded RC structures. However, uncertainty associated with the relationship between corrosion crack width and steel corrosion in the RC structures is quite large. In this study, a probabilistic framework for estimating residual strength of corroded RC structures using the observed corrosion crack width distribution and Long Short-Term Memory (LSTM) network was proposed. In an illustrative example, effect of corrosion crack width on probabilistic density function associated with flexural capacity of existing RC beam was investigated.