The invention provides a bridge performance evaluation and life prediction method based on
big data analysis, and relates to the technical field of bridge
preventive maintenance in
highway engineering, and the method comprises the steps: obtaining three-dimensional scanning data of an old bridge and a new bridge under a common
service condition, and combining with complex service conditions such as dynamic load,
temperature difference,
creep shrinkage, etc. And the dynamic response of the connection part in an
actual use environment can be accurately simulated and evaluated. Especially under the condition of common service of new and old bridges, the degradation and damage of the connection part are particularly significant, and by combining with a
big data technology, the progress of material aging is tracked in real time, and possible hidden damage of the connection part is helped to be predicted. By constructing the
aging factor, the damage index and the
corrosion index and associating the
aging factor, the damage index and the
corrosion index with the connection coordination index graph, a specific rigidity
loss factor can be provided for each connection unit, the performance degradation degree of the bridge connection part is reflected, and a scientific basis is provided for subsequent reinforcement and maintenance strategies.