2. The basic theory of system identification of the beam segment flexural rigidity basedon the result of Static-state load test is demonstrated, the realization program is worked out and the academic example is analyzed. The method of bridge structure disease examination and structure damage evaluation based on this theory is carried out.
4. Based on the Static-state load test result of two practical projects, the application of the reinforced concrete beam system bridge structure disease examination and structure damage evaluation method is stated, and satisfaction result is gained.
1. Based on the method of bridge structure ability examination and structure damage evaluation, the basic theory of genetic optimization neural networks algorithms is particularly expatiated. Genetic optimization neural networks algorithm is discussed in bridge structure parameter identification.