Temperature-based anomaly diagnosis of truss structure using Markov chain-Monte Carlo method-Reference-Cited by-同舟云学术

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Temperature-based anomaly diagnosis of truss structure using Markov chain-Monte Carlo method

Published:2022-05-05 Issue:3 Volume:12 Page:705-724
ISSN:2190-5452
Container-title:Journal of Civil Structural Health Monitoring
language:en
Short-container-title:J Civil Struct Health Monit

Author:

Xu Jie,Liu Ming,Ma Qian,Han Qinghua^ORCID

Funder

National Natural Science Foundation of China

Higher Education Discipline Innovation Project

Publisher

Springer Science and Business Media LLC

Subject

Safety, Risk, Reliability and Quality,Civil and Structural Engineering

Link

https://link.springer.com/content/pdf/10.1007/s13349-022-00572-6.pdf

Reference59 articles.

1. Xue SD (2020) Recent development and engineering practice of spatial structures in China. Steel Constr (Chinese & English) 35(7):1–16. https://doi.org/10.13206/jgjgSE20041904

2. Sun H, Di S, Du Z et al (2021) Application of multisynchrosqueezing transform for structural modal parameter identification. J Civ Struct Health Monit 11:1175–1188. https://doi.org/10.1007/s13349-021-00500-0

3. Ye X, Huang P, Pan C et al (2021) Innovative stabilization diagram for automated structural modal identification based on ERA and hierarchical cluster analysis. J Civ Struct Health Monit 11:1355–1373. https://doi.org/10.1007/s13349-021-00514-8

4. Sunca F, Ergün M, Altunişik AC et al (2021) Modal identification and fatigue behavior of Eynel steel arch highway bridge with calibrated models. J Civ Struct Health Monit 11:1337–1354. https://doi.org/10.1007/s13349-021-00512-w

5. Lorenzoni F, De Conto N, da Porto F et al (2019) Ambient and free-vibration tests to improve the quantification and estimation of modal parameters in existing bridges. J Civ Struct Health Monit 9:617–637. https://doi.org/10.1007/s13349-019-00357-4

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