Bridge Seismic Damage Assessment Model Applying Artificial Neural Networks and the Random Forest Algorithm
Earthquakes cause significant damage to bridges, which have a very strategic location in transportation services. The destruction of a bridge will seriously hinder emergency rescue. Rapid assessment of bridge seismic damage can help relevant departments to make judgments quickly after earthquakes an...
Saved in:
Main Authors: | Hanxi Jia, Junqi Lin, Jinlong Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Advances in Civil Engineering |
Online Access: | http://dx.doi.org/10.1155/2020/6548682 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Seismic Damage Rapid Assessment of Road Networks considering Individual Road Damage State and Reliability of Road Networks in Emergency Conditions
by: Jinlong Liu, et al.
Published: (2020-01-01) -
Seismic Response Analysis and Evaluation of Laminated Rubber Bearing Supported Bridge Based on the Artificial Neural Network
by: Bingzhe Zhang, et al.
Published: (2021-01-01) -
Optimization the Initial Weights of Artificial Neural Networks via Genetic Algorithm Applied to Hip Bone Fracture Prediction
by: Yu-Tzu Chang, et al.
Published: (2012-01-01) -
Applying Randomness Effectively Based on Random Forests for Classification Task of Datasets of Insufficient Information
by: Hyontai Sug
Published: (2012-01-01) -
A Multimode Adaptive Pushover Procedure for Seismic Assessment of Integral Bridges
by: Ehsan Mohtashami, et al.
Published: (2013-01-01)