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

This paper presents damage assessment paradigms integrated on blackboard pl atforms with special reference to steel bridge structures. The implementati on of knowledge sources developed using paradigms of domain-specific algori thms, Artificial Intelligence (AI) techniques and Artificial Neural Network s (ANN) models are discussed. The components of the blackboard and the cont rol 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. (C) 2000 Elsevier Science Ltd. All rig hts reserved.