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Bayesian Probabilistic Framework for Damage Identification of Steel Truss Bridges under Joint Uncertainties
Joint Authors
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-09-26
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
The vibration-based structural health monitoring has been traditionally implemented through the deterministic approach that relies on a single model to identify model parameters that represent damages.
When such approach is applied for truss bridges, truss joints are usually modeled as either simple hinges or rigid connections.
The former could lead to model uncertainties due to the discrepancy between physical configurations and their mathematical models, while the latter could induce model parameter uncertainties due to difficulty in obtaining accurate model parameters of complex joint details.
This paper is to present a new perspective for addressing uncertainties associated with truss joint configurations in damage identification based on Bayesian probabilistic model updating and model class selection.
A new sampling method of the transitional Markov chain Monte Carlo is incorporated with the structure’s finite element model for implementing the approach to damage identification of truss structures.
This method can not only draw samples which approximate the updated probability distributions of uncertain model parameters but also provide model evidence that quantify probabilities of uncertain model classes.
The proposed probabilistic framework and its applicability for addressing joint uncertainties are illustrated and examined with an application example.
Future research directions in this field are discussed.
American Psychological Association (APA)
Zheng, Wei& Yu, Yi. 2013. Bayesian Probabilistic Framework for Damage Identification of Steel Truss Bridges under Joint Uncertainties. Advances in Civil Engineering،Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-462130
Modern Language Association (MLA)
Zheng, Wei& Yu, Yi. Bayesian Probabilistic Framework for Damage Identification of Steel Truss Bridges under Joint Uncertainties. Advances in Civil Engineering No. 2013 (2013), pp.1-13.
https://search.emarefa.net/detail/BIM-462130
American Medical Association (AMA)
Zheng, Wei& Yu, Yi. Bayesian Probabilistic Framework for Damage Identification of Steel Truss Bridges under Joint Uncertainties. Advances in Civil Engineering. 2013. Vol. 2013, no. 2013, pp.1-13.
https://search.emarefa.net/detail/BIM-462130
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-462130