| It' s a very complicated process to adapt self-erection system to build P. C. continuous rigid frame bridge. In this process, the construction will be affected by many certain and uncertain factors, which will cause the actual state of bridge structural deviate from perfect condition. Therefore, adopting the appropriate structure analysis theories and computation method make sure every stage of reasonable deformation and inner force, which occur in process of bridge structure construction. And the control of bridge construction is based on structural analysis theories, identifying and analyzing deviations which occur in the process of construction, finding problem and rectifying them in time. At the same time, predicting for the structure in the follow-up stage make the construction system under control all the time.The structural analysis method of the continuous rigid frame bridge and the theories of adaptive control system and method of control were discussed in this paper. With regard to parameter that can remarkably affect the result of counting bridge structure, the way of parameter identification according to the data of construction survey by applying neural network technology and feed back to conduct the construction was proposed in this paper. Controlling Meiao' bridge in Wenzhou by integrating the theory of adaptive control system and technology of neural network lead to good result.Both theoretical and experimental study results show that the methods presented in this thesis would be useful to bridge construction control. |