XIA Ye, LEI Xiaoming, WANG Peng, et al. Regional bridge information integration and data mining for network-level assessment[J]. 2021, 53(3): 66-74.
DOI:
XIA Ye, LEI Xiaoming, WANG Peng, et al. Regional bridge information integration and data mining for network-level assessment[J]. 2021, 53(3): 66-74.DOI: 10.11918/201908024.
Regional bridge information integration and data mining for network-level assessment
Since regional bridges are widely distributed and large in quantity
it is difficult to comprehensively evaluate them. This paper establishes a condition assessment theory for regional bridges based on the integrated multi-source information of single bridge. The database of regional bridges is stored within a “route-bridge-component” formation
which is extracted from inspection reports
monitoring systems
traffic data
design drawings
and so on. Based on the integrated multi-source information of regional bridges
the performance evaluation of the regional bridges and network-level assessment can be carried out. Taking a partial highway in Hebei province as an example
three sub-regions were divided according to climate characteristics
and the overall and regional characteristics of the road network were evaluated. Data mining was carried out concerning key parameters such as bridge type
age
and traffic volume
and correlation analysis was conducted between these parameters and general technical scoring at network level. The proposed framework provided data basis and analysis conditions for network-level evaluation. Results indicate that the proposed data integration and mining methods can effectively reveal the common features and deterioration rules of regional bridges
and hence can be used for network-level assessment of regional bridges.