The Research About Technical Condition Assessment Of Small And Medium Span RC Beam Bridge

As the existing bridge in China for more than 30 around the concrete bridge, design, construction and long-term use of the flaws in the process of injury, aging or disaster gradually exposed: the cracking concrete structure, corrosion, inadequate capacity, and many other serious problems affecting the the structure of the existing road network life cycle and structural safety, strengthening technical inputs, implementation of the existing structure of the safety evaluation and monitoring, the use of modern means of the structure of the bridge structure in operation for effective detection, evaluation and investment decision-making structure Management appears to be particularly necessary. At the same time, China's Bridge Management System of a late start, and management experience and historical data relatively small, a single bridge assessment methodologies, subjective assumptions and empirical findings of the assessment of the degree of influence was too great. Based on this, this paper RC bridge study conducted for state assessment system. Completion of the following main aspects:Based on the existing bridge defects and shortcomings of the outcome of the analysis, in this paper in accordance with operable, representativeness, sensitivity, and other indicators to establish principles built a hierarchical structure of the state RC bridge technology evaluation index system, considered the "bridge age," " environment "existing norms can not be considered external factors. And the corresponding evaluation indicators are given the value of reference standards, identified in the assessment system in the form of knowledge representation and the fuzzy membership function of the form.With fuzzy theory and neural network methods, establishing a state of RC bridge assessment system CBCSAS the overall framework of the system by modular approach to the design, including database management module, module testing, structural evaluation modules, and the main cause of disease identification module priority evaluation module .As a method of transplantation, the paper bridge in the state assessment system, organic neural network and fuzzy Theory, and in accordance with the actual conduct of the network structure to expand and improve the algorithm, so that it can meet the application requirements bridge engineering. Application of the final Visual C++ programming language has RC bridge CBCSAS state assessment system.By extracting specific real bridge samples for study training and testing system, have been feasible RC bridge condition assessment system CBCSAS verified fuzzy theory and neural network technology and artificial intelligence technology in the field of bridge structure state assessment of the feasibility and reliability.Finally, further work on the paper briefly in the direction of the discussions.