Early damage detection under massive data via innovative hybrid methods: application to a large-scale cable-stayed bridge-Reference-Cited by-同舟云学术

Early damage detection under massive data via innovative hybrid methods: application to a large-scale cable-stayed bridge

Published:2020-06-23 Issue:7 Volume:17 Page:902-920
ISSN:1573-2479
Container-title:Structure and Infrastructure Engineering
language:en
Short-container-title:Structure and Infrastructure Engineering

Author:

Daneshvar Mohammad Hassan¹^ORCID,Gharighoran Alireza²,Zareei Seyed Alireza¹^ORCID,Karamodin Abbas³

Affiliation:

1. Department of Civil Engineering, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran

2. Department of Civil Engineering, Faculty of Engineering and Transportation, University of Isfahan, Isfahan, Iran

3. Department of Civil Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Iran

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Ocean Engineering,Geotechnical Engineering and Engineering Geology,Safety, Risk, Reliability and Quality,Building and Construction,Civil and Structural Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/15732479.2020.1777572

Reference54 articles.

1. Non-contact structural health monitoring of a cable-stayed bridge: case study

2. Signal Processing Techniques for Vibration-Based Health Monitoring of Smart Structures

3. Structural health monitoring of a cable-stayed bridge with Bayesian neural networks

4. Gaussian Process Time-Series Models for Structures under Operational Variability

5. Damage detection of a cable-stayed bridge using feature extraction and selection methods

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