Title

System Reliability-Based Structural Health Monitoring With Fem Simulation

Abstract

Development of a completely new methodology to evaluate structural health monitoring is presented. Structural reliability techniques will be employed to determine component and system reliability of constructed facilities using monitoring data. Reliability methods provide a very powerful tool for SHM to add probabilistic structural evaluation function that current SHM applications do not have. This methodology will be demonstrated analytically on a finite element model of a movable bridge. A standard truck traveling along the span will be simulated on the model, obtaining the response values as a function of time. Resulting stresses/strains from the model will be evaluated as monitoring data and component reliabilities will be calculated according to assumed limit states of each component using random variables for material properties. System reliability of the bridge will be obtained from a series and parallel modeling of individual failure models of each component. Procedures for integrating reliability from sensor data, inspection reports and finite element results will be investigated using Bayesian updating. This demonstration will establish a guideline for applying reliability assessment based on monitoring data and selecting the components and locations for the sensor systems.

Publication Date

12-1-2007

Publication Title

Conference Proceedings of the Society for Experimental Mechanics Series

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

84861557422 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84861557422

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