Bridge Structural Damage Identification Technique Based on BPNN and Vehicle-bridge Interaction Analysis
During the use of bridges, the traditional method of detecting the bridge condition cannot be continuously monitored and maintained. To address this problem, the study proposed a damage identification method based on the interaction of back propagation neural network and vehicle-bridge interaction....
Saved in:
| Main Authors: | Lingling Li, Yibo Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Electronic Journals for Science and Engineering - International
2025-07-01
|
| Series: | Electronic Journal of Structural Engineering |
| Subjects: | |
| Online Access: | http://10.0.0.97/EJSE/article/view/774 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Bridge Structural Damage Identification Technique Based on BPNN and Vehicle-bridge Interaction Analysis
by: Lingling Li, et al.
Published: (2025-07-01) -
Dynamic interaction between the two-axle vehicle and continuous girder bridge with considering vehicle braking force
by: Nguyen Xuan Toan
Published: (2014-02-01) -
Quasi-Static Influence Line Identification and Damage Identification of Equal-Span Bridges Based on Measured Vehicle-Induced Deflection
by: Kang Yang, et al.
Published: (2022-06-01) -
Identification of Moving Train Axle Loads for Simply Supported Composite Beam Bridges in Urban Rail Transit
by: Huahuai Sun, et al.
Published: (2024-09-01) -
Analysis of Rail Vehicle Axle Strength and Fatigue Crack Propagation Life
by: LI Rui-xia, et al.
Published: (2013-01-01)