The step-by-step damage identification method for long-span cable-stayed bridge by use of different neural networks is beneficial to the improvement on both the efficiency and exactness of damage detection and the feasibility of applying the damage identification method in real structures.

Applications of neural networks in quantitative analysis of damage detection;

Challenges in applying the vibration-based damage detection to civil structures;

Application of wavelet transform for early-stage damage detection;

The damage identification method based on fuzzy clustering and support vector machine;

Study on the structural damage identification method based on interval estimation;

A structural damage identification method based on sensitivity analysis of modal parameter error function;

The application of neural net in bridge damage recognition;

Study on Application of Fiber Bragg Grating Senor in Structural Damage Recognition;

Analysis of structural damage recognition based upon BP neutral net

Based on the curvature mode and flexibility curvature,the multiple damage detection of the first step modal index to one cantilever beam and one simple beam with same damage but different location in different numerical computing cases are calculated by using the result of modal analysis.