Ensemble-Learning-Based Prediction of Steel Bridge Deck Defect Condition
This study developed an ensemble-learning-based bridge deck defect condition prediction model to help bridge managers make more rational and informed steel bridge deck maintenance decisions. Using the latest data from the NBI database for 2021, this study first used ADASYN to solve imbalance problem...
Main Authors: | Qingfu Li, Zongming Song |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-05-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/11/5442 |
Similar Items
-
Mechanical Performance Prediction Model of Steel Bridge Deck Pavement System Based on XGBoost
by: Yazhou Wei, et al.
Published: (2023-11-01) -
The performance of steel bridge deck with additional steel plate at the bottom flange /
by: Wahid Omar, Prof. Dato', 1962-, et al.
Published: (2002) -
Fatigue classification of welded joints in orthotropic steel bridge decks /
by: 247818 Cuningham, J. R.
Published: (1990) -
Steel bridge decks : fatigue performance of joints between longitudinal stiffeners/
by: 209392 Cuninghame, J. R., et al.
Published: (1982) -
The corrosion of weathering steel under real simulated bridge decks/
by: McKenzie, M
Published: (1990)