a random field based technique for the efficiency enhancement of bridge network life-cycle analysis under uncertainty

the proposed technique consists in the joint use of random field theory and probabilistic reliability models for the simulation of the individual bridge service states over the life-cycle of the infrastructure. this random field based approach is extremely efficient and takes simultaneously into account the deterioration in time of the bridge reliability and the correlation in space of the service states of bridges belonging to the same transportation network. compared to other techniques previously used to perform the same task, the proposed methodology is theoretically more solid and improves the computational efficiency by more than two orders of magnitude.

a numerical example is provided to validate the proposed technique. moreover, a second example involving the life-cycle performance analysis of a complex bridge network in santa barbara, ca, is presented.