A Hybrid Data Interpretation Framework For Automated Performance Monitoring Of Infrastructure

Abstract

The objective of this study is to establish and propose a hybrid data interpretation framework for automated performance monitoring of infrastructures. The framework is established by integrating non-parametric and model-based approaches. In fact, these approaches are merged in such a way that they can cover the associated drawbacks. The proposed framework consists of three main steps including analytical simulation of critical damage scenarios for a given structure, advanced statistical analysis and finally damage classification. In order to verify the efficiency of the proposed framework a 4-Span Bridge, is selected and exposed to the common damage scenarios. The framework has shown promising results in terms of continuous monitoring (detection the damage and classifying the critical abnormal behaviors).

Publication Date

1-1-2015

Publication Title

Structures Congress 2015 - Proceedings of the 2015 Structures Congress

Number of Pages

426-434

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1061/9780784479117.037

Socpus ID

84929255540 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84929255540

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