Inverse analysis of masonry arch bridges for damaged condition investigation: Application on Kakodiki bridge

Abstract

In this paper a novel approach for the investigation of pathological problems in masonry arch bridges using inverse analysis procedures is proposed. A real case study located in Kakodiki village on the island of Crete (Greece) is considered for the application of the proposed computational scheme. The method uses the damaged condition of the bridge as starting point and seeks the potential load cases that led to its development. The damage identification is transformed into a parameter identification problem which is studied by comparing numerical predictions and existing damage pattern. A global optimization approach by means of a genetic algorithm is adopted within the inverse problem, aiming at adjusting the parameters of the mechanical model of the structure so that an error function that measures the differences between the real and the numerically predicted damage pattern is minimized. The outcome of the methodology might provide a valuable information regarding to the planning of maintenance actions as well as to the design of retrofitting measures.