Abstract: Based on the theory of structural dynamics, the damageidentification and diagnosis of existing steel truss bridges isstudied. With the natural frequency as the characteristic parameter andusing method of BP neural network and the MATLAB, the damage identification and diagnosis is analysed and a complete flow chart for the bridge damage identification and diagnose is proposed. With the method, the damageprocess of a steel truss bridge is numerically stimulated.