STUDY ON UTILIZATION OF SVM IN SOUNDNESS EVALUATION OF BRIDGE SUPERSTRUCTURE

Abstract

In Japan, regional governments manage 70% of all bridges, half of which will reach their service life in the near future. However, to maintain this number of bridges, the regional governments always lack resources in finances, specialists and technologies. Therefore, it is necessary to develop a practical method of bridge integrity evaluation to assess the degree of a bridge superstructure’s structural health. This paper proposes a bridge integrity evaluation method by applying support vector machines of artificial intelligence techniques. It is proved that the proposed method helps bridge inspectors and engineers with a more reliable and efficient bridge structural health assessment.