Predictive Analytics of In-Service Bridge Structural Performance from SHM Data Mining Perspective: A Case Study
In-service bridge structural performance analysis and prediction are usually complicated and challenging because of many unknown and uncertain factors. Contrary to the traditional structural appearance inspections and load tests, structural health monitoring (SHM) can provide a perspective for onlin...
Saved in:
Main Authors: | Qiwen Jin, Zheng Liu, Junchi Bin, Weixin Ren |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2019-01-01
|
Series: | Shock and Vibration |
Online Access: | http://dx.doi.org/10.1155/2019/6847053 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Dynamic Reliability Prediction of Bridges Based on Decoupled SHM Extreme Stress Data and Improved BDLM
by: Xueping Fan, et al.
Published: (2021-01-01) -
GPS, Accelerometer, and Smartphone Fused Smart Sensor for SHM on Real-Scale Bridges
by: G. Michel Guzman-Acevedo, et al.
Published: (2019-01-01) -
Wireless Accelerometer Architecture for Bridge SHM: From Sensor Design to System Deployment
by: Francesco Morgan Bono, et al.
Published: (2025-01-01) -
Noncontact Measurements for Vibration-Based SHM and NDE
by: Piotr Kohut, et al.
Published: (2019-01-01) -
Experimental and Analytical Studies of String Steel Structure for Bridges
by: Edmundas Beivydas, et al.
Published: (2023-12-01)