Analysis of civil engineering infrastructure in Norway with solutions based on structural health monitoring and artificial intelligence

Abstract

Ageing civil infrastructures such as bridges and building causes many consequences from practical and economical point of view. Especially in northern Norway, the impact of extreme arctic conditions is intense on civil engineering infrastructures (see \cite{Singh:2022:hologaland_Bridge}). With the increased loading due to the prosperous seafood industry and increased cargo activity is putting additional pressure on the aged infrastructures. Research and development of new methods is needed for the damage detection in these structures. In this paper we present, discuss and analyze the situation concerning bridges in Norway with a special focus on northern Norway. Moreover, based on the research in \cite{singh:2022:phdThesis}, \cite{singh:2019OMA-Application} and \cite{singh:2021:comprehensive} we describe and emphasise the importance of structural health monitoring methods, artificial intelligence and machine learning when trying to solve these serious problems of structural damage detection especially in arctic regions. The related mathematical tools, in particular the role of equation of motion, are discussed. In a certain specific case of the equation of motion there is discussed the case where the solution may be obtained in the explicit form via the use of the so-called Calder\'on operator.