Analysis of Performance Evaluation Index for bridge group networking monitoring and collaborative supervision
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Détails bibliographiques
| Auteur(s): |
Liye Zhang
(Research Institute of Highway Ministry of Transport, Beijing 100088, China.)
Yong He (Research Institute of Highway Ministry of Transport, Beijing 100088, China.) Shoushan Cheng (Research Institute of Highway Ministry of Transport, Beijing 100088, China.) Guoliang Wang (Research Institute of Highway Ministry of Transport, Beijing 100088, China.) Hongwei Ren (Research Institute of Highway Ministry of Transport, Beijing 100088, China.) Lijuan Dong (Research Institute of Highway Ministry of Transport, Beijing 100088, China.) Bingjian Wang (Research Institute of Highway Ministry of Transport, Beijing 100088, China.) Ke Chen (Research Institute of Highway Ministry of Transport, Beijing 100088, China.) Hanyong Liu (Research Institute of Highway Ministry of Transport, Beijing 100088, China.) |
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| Médium: | papier de conférence | ||||
| Langue(s): | anglais | ||||
| Conférence: | IABSE Congress: Resilient technologies for sustainable infrastructure, Christchurch, New Zealand, 3-5 February 2021 | ||||
| Publié dans: | IABSE Congress Christchurch 2020 | ||||
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| Page(s): | 319-326 | ||||
| Nombre total de pages (du PDF): | 8 | ||||
| DOI: | 10.2749/christchurch.2021.0319 | ||||
| Abstrait: |
With the number of bridges increases, the bridge health monitoring (BHM) technique is developing from single bridge monitoring to collaborative supervision of bridge group. Therefore, there are many technical problems need to be solved especially the performance evaluation index for bridge group network. This paper analyses the performance evaluation index of the bridges and bridge group network, establishes the performance evaluation index for bridge group based on rating factor (RF) and technical condition evaluation index. Based on bridge field testing and monitoring data, bridge technical condition evaluation index and performance evaluation method for bridge group are proposed. A case study demonstrates that the research results provide support for bridge group networking monitoring and collaborative supervision. |
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| Mots-clé: |
pont
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