| 引用本文: | 夏烨,雷晓鸣,王鹏,刘国明,孙利民.针对网级评估的区域桥梁信息集成与数据挖掘[J].哈尔滨工业大学学报,2021,53(3):66.DOI:10.11918/201908024 |
| XIA Ye,LEI Xiaoming,WANG Peng,LIU Guoming,SUN Limin.Regional bridge information integration and data mining for network-level assessment[J].Journal of Harbin Institute of Technology,2021,53(3):66.DOI:10.11918/201908024 |
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| 针对网级评估的区域桥梁信息集成与数据挖掘 |
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夏烨1,雷晓鸣1,王鹏2,刘国明3,孙利民4
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(1. 同济大学 土木工程学院,上海 200092;2. 上海临港经济发展(集团)有限公司,上海 201306; 3. 河北省交通规划设计院,石家庄 050011;4. 土木工程防灾国家重点实验室(同济大学),上海 200092)
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| 摘要: |
| 针对区域桥梁分布范围广、数量大、难以进行综合评估的问题,首先分析单体桥梁状态评估的信息源,进而由单体拓展至区域桥梁群评估,制订区域内检测、监测、交通量、图纸等多源信息的集成规则,按“路线—桥梁—构件”的逻辑形式进行存储和表达,数据清洗后建立路网数据库,对集成后的数据进行特征挖掘,进而对区域桥梁群进行综合网级评估. 以河北省高速公路为背景,依据气候特征划分3个子区域,评估路网总体和分区特征；分析桥梁类型、桥龄、交通量等关键变量与总体技术状态评分的相关性,开展数据挖掘,演绎退化规律,为网级评估提供数据基础和分析条件. 结果表明:所提出的信息集成与数据挖掘方法及应用模式,有效地揭示了路网内桥梁群的共性特征和退化规律,可用于区域桥梁网级评估. |
| 关键词: 区域桥梁 网级评估 多源信息集成 数据挖掘 相关性分析 中小跨径桥梁 |
| DOI：10.11918/201908024 |
| 分类号:TU464 |
| 文献标识码:A |
| 基金项目:国家重点研发计划(2017YFC1500605)； 国家自然科学基金(51978508)； 国家留学基金委资助项目(201906260157) |
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| Regional bridge information integration and data mining for network-level assessment |
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XIA Ye1,LEI Xiaoming1,WANG Peng2,LIU Guoming3,SUN Limin4
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(1.College of Civil Engineering, Tongji University, Shanghai 200092, China; 2. Shanghai Lingang Economic Development (Group) Co., Ltd., Shanghai 201306, China; 3. Hebei Provincial Communications Planning and Design Institute, Shijiazhuang 050011, China; 4.State Key Laboratory of Disaster Reduction in Civil Engineering (Tongji University), Shanghai 200092, China)
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| Abstract: |
| 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. |
| Key words: regional bridge network-level assessment multi-source information integration data mining correlation analysis short- and medium-span bridges |
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