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Establishment of Regional Bridge Degradation Model for Shandong Province

 Establishment of Regional Bridge Degradation Model for Shandong Province
Autor(en): , , ,
Beitrag für IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022, veröffentlicht in , S. 1575-1581
DOI: 10.2749/nanjing.2022.1575
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In this paper, a neural network-based regional bridge condition degradation model establishment method is proposed for the problem of regional bridge network level assessment and management and mai...
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Bibliografische Angaben

Autor(en): (Shandong Hi-speed Group Co. LTD, Jinan, Shandong, 250014, China)
(Department of Bridge Engineering, College of Civil Engineering, Tongji University, Shanghai 200092, China)
(Shandong Hi-speed Group Co. LTD Innovation Research Institute, Jinan, Shandong, 250014, China)
(Shandong High-speed Engineering Inspection Co., Ltd, Jinan, Shandong, 250014, China)
Medium: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022
Veröffentlicht in:
Seite(n): 1575-1581 Anzahl der Seiten (im PDF): 7
Seite(n): 1575-1581
Anzahl der Seiten (im PDF): 7
DOI: 10.2749/nanjing.2022.1575
Abstrakt:

In this paper, a neural network-based regional bridge condition degradation model establishment method is proposed for the problem of regional bridge network level assessment and management and maintenance strategy optimization. First, a subset of features for bridge condition prediction is extracted from the road network database, and a suitable secondary transcoding technique is selected to accommodate the training of artificial neural networks; then, a cost-sensitive training error is introduced to obtain the optimal bridge degradation model through model selection. To verify the feasibility of the method, a case study of a small road network in the main highway section of Shandong Province was selected to obtain the degradation model of the bridge group in the region, which provides a basis for the future maintenance strategy of the regional road network.

Copyright: © 2022 International Association for Bridge and Structural Engineering (IABSE)
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