英文摘要 |
For old bridges or those with unique structural systems, the field load test can effectively and accurately assess and verify bridge structure safety. This study presents an experimental study of the evaluation methods for bridges using loading tests. A series of flatcar loading tests are conducted to evaluate the structural safety of bridges. Improving bridge evaluation technologies can effectively assist bridge authorities in implementing bridge maintenance and management operations, as well as extend the service life of bridges to perform service functions. With increasing use of artificial intelligence analysis and the demand for practical applications, transforming a large amount of bridge inspection and monitoring data into useable information that assists in evaluation processes is needed. Therefore, this study applied data science methods to analyze experimental data. Intelligent data promotes effective decision-making for bridge disaster prevention, as well as management and maintenance actions to maintain safety during the bridge life cycle, improve bridge disaster prevention technology, and implement business applications. |