Applications of AI in Health Monitoring of Structures in Potential Seismic Areas—A Review

Abstract

AbstractArtificial Intelligence (AI) can be used to solve complex problems in civil engineering which involve time-consuming and arduous tasks, such that, the hurdles that appear when these works are completed using mere human labour can be completely overcome, by employing various techniques of AI. Furthermore, where testing fails or is hardly possible, AI can suffice the required design. AI can be of its best use when applied to the field of Structural Health Monitoring (SHM), which serves to identify and detect the current state and behaviour of structures. This article outlines the applications of AI in SHM in potential seismic zones. SHM functions in seismically prone areas by evaluating on field, the resistive power of a building against earthquakes and simultaneously it's potent to carry forth the services. The paper studies certain observations from research conducted during past few decades on development of artificial intelligence in SHM technologies in seismically intensive areas, in case of multistorey buildings, bridges, special structures and lifeline structures. The article begins with a brief introduction to artificial intelligence, further, detailing applications of AI in SHM in seismically prone areas. Subsequently, the contemporary applications of AI in the field are reviewed, alongside, the adaptability, sufficiency and potentiality of those methods to overcome the barriers of the conventional methods are discussed.KeywordsArtificial intelligenceStructural health monitoringANNPotential monitoringDamage predictionBridges