Structural Damage Detection Based on BP Neural Network Technique

Abstract

The method based on frequency measurement to localize structure damage is applied to structure healthy monitor. In this paper, the structural damage detection is divided into three courses. Which are structural damage identification, structural damage localization and structural damage severity determination course. Damage detection course are named by modal parameters and inputted to neural network as parameters for structural health monitoring. Damages of different locations and severity on a box beam are simulated with BP neural network.