Title

Evaluation Of Time-Variant Bridge Reliability Using Structural Health Monitoring

Abstract

The engineering community demands critical effects of bridge deterioration over long-term to be investigated and monitored closely, especially after the recent bridge collapses in the US. Combined with reliability techniques, structural health monitoring (SHM) can provide objective and accurate assessment of existing condition and prediction of future trends based on collected data. Also, current SHM applications generate tremendous amounts of data, especially for long-term monitoring. It is crucial to develop innovative approaches for data management and timely assessment, in order to improve the benefit of future SHM applications. The authors propose generating structural reliability indices based on monitoring data. Reliability methods provide a crucial tool for SHM to add probabilistic structural evaluation function. This paper investigates a generic but comprehensive health monitoring approach for long-term data collection and assessment using reliability concepts. A simulation is used to generate sensor data for a typical highway bridge continuously, which is processed to produce reliability parameters. Deterioration effects are introduced on this bridge in order to demonstrate how degradation can be assessed and tracked. This demonstration will establish a guideline for applying reliability assessment based on monitoring data.

Publication Date

12-1-2008

Publication Title

Conference Proceedings of the Society for Experimental Mechanics Series

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84861534891 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84861534891

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