Modeling and Separation of Thermal Effects from Cable-Stayed Bridge Response

Abstract This article presents a practical multivariate linear-based model for modeling and separation of thermal effects from the cable-stayed bridge response. First, the discrete typical thermal loadings, which are the variables in the linear model, are derived from the real-time recorded temperat...

Full description

Saved in:
Bibliographic Details
Published in:Journal of bridge engineering 2019-05, Vol.24 (5)
Main Authors: Xu, Xiang, Huang, Qiao, Ren, Yuan, Zhao, Dan-Yang, Yang, Juan, Zhang, De-Yi
Format: Article
Language:English
Subjects:
Anomalies
Bridge construction
Cable-stayed bridges
Case studies
Civil engineering
Coefficients
Computer simulation
Deflection
Detection
Error analysis
Mathematical models
Modelling
Real time
Rivers
Separation
Technical Papers
Temperature effects
Temperature measurement
Thermal response
Weight
Windows (intervals)
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Abstract This article presents a practical multivariate linear-based model for modeling and separation of thermal effects from the cable-stayed bridge response. First, the discrete typical thermal loadings, which are the variables in the linear model, are derived from the real-time recorded temperature measurements. Then, weight coefficients (i.e., normalized response corresponding to each type of temperature action) in the model are acquired by considering the simulation results of the numerical models. Finally, the Third Nanjing Yangtze River Bridge is employed as a case study to validate the effectiveness of the proposed methodology. The reliability of the proposed multivariate linear-based model is verified on the measurements of deflection and temperature during the bridge-closure time window. The maximum error between the predicted and measured deflection is 5.6 mm, which accounts for the resolution of the connected pipe system. This study not only helps to understand the thermal field of such large-span cable-stayed bridges but also develops an effective model that separates thermal response and can benefit real-time quasi-static-based anomaly detection for large-scale bridges.
ISSN:1084-0702
1943-5592
DOI:10.1061/(ASCE)BE.1943-5592.0001387