Establishment of Regional Bridge Degradation Model for Shandong Province
|
|
|||||||||||
Bibliographic Details
| Author(s): |
Shanshan Wang
(Shandong Hi-speed Group Co. LTD, Jinan, Shandong, 250014, China)
Lanxin Luo (Department of Bridge Engineering, College of Civil Engineering, Tongji University, Shanghai 200092, China) Zhiqiang Shang (Shandong Hi-speed Group Co. LTD Innovation Research Institute, Jinan, Shandong, 250014, China) Yangchun Wang (Shandong High-speed Engineering Inspection Co., Ltd, Jinan, Shandong, 250014, China) |
||||
|---|---|---|---|---|---|
| Medium: | conference paper | ||||
| Language(s): | English | ||||
| Conference: | IABSE Congress: Bridges and Structures: Connection, Integration and Harmonisation, Nanjing, People's Republic of China, 21-23 September 2022 | ||||
| Published in: | IABSE Congress Nanjing 2022 | ||||
|
|||||
| Page(s): | 1575-1581 | ||||
| Total no. of pages: | 7 | ||||
| DOI: | 10.2749/nanjing.2022.1575 | ||||
| Abstract: |
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. |
||||
| Keywords: |
bridge engineering neural network regional bridges network-level assessment degradation model
|
||||
| Copyright: | © 2022 International Association for Bridge and Structural Engineering (IABSE) | ||||
| License: | This creative work is copyrighted material and may not be used without explicit approval by the author and/or copyright owner. |
||||