Artificial Intelligence Aided Prediction of Building Structure Anti-seismic

The application of artificial intelligence in the traditional industry has a broad prospect, in recent years, has made many achievements. The combination of artificial intelligence technology and various specialties in the construction industry to make corresponding expert system, decision support system and intelligent aided design will surely bring technological progress and comprehensive economic and social benefits. Because of the strong abruptness, high destructive power and high degree of casualties of earthquake disasters, it will not only damage the urban buildings and infrastructure construction, but also pose a huge threat to the personal safety of the audience. Therefore, in the process of modern construction, it is necessary for construction enterprises to pay attention to the seismic performance design of the overall structure. In this paper, a new method of structural reliability evaluation is proposed, which uses artificial intelligence technology to reduce the subjectivity of evaluation. Due to the fuzziness of the understanding of the structural reliability, the multi-level fuzzy comprehensive evaluation is used to evaluate the reliability. According to the current appraisal regulations, the structural system is divided into three levels: component, sub unit and appraisal unit. Firstly, the membership degrees of components for different reliability levels are obtained by trained neural network, and then the membership degrees of sub units and appraisal units for different reliability levels are obtained by multi-level fuzzy comprehensive evaluation.