Research on safety evaluation of long-span suspension bridge based on fuzzy neural network

bridge engineering;  safety evaluation;  fuzzy neural networks;  suspension bridges;  Evaluation metrics

Combining fuzzy theory with neural network technology, a fuzzy neural network for safety evaluation of long-span suspension bridges is established. Seven evaluation indicators of long-span suspension bridges were determined, and the network was trained through sample learning, so that the network could acquire the empirical knowledge and intuitive thinking of bridge experts. The trained network was used for the safety assessment of Yichang Yangtze River Bridge and compared with the evaluation results of the Code for Maintenance of Highway Bridges and Culverts. The results show that the evaluation of long-span suspension bridges by fuzzy neural network is an objective and feasible evaluation method.