Integration of damage assessment paradigms of steel bridges on a blackboard architecture

Abstract

This paper presents damage assessment paradigms integrated on blackboard platforms with special reference to steel bridge structures. The implementation of knowledge sources developed using paradigms of domain-specific algorithms, Artificial Intelligence (AI) techniques and Artificial Neural Networks (ANN) models are discussed. The components of the blackboard and the control aspects are explained in particular. The dynamics of the blackboard is discussed with simulation steps and identification of global damageability of bridge structure is demonstrated