Title

Parameter Estimation Using Sensor Fusion And Model Updating

Abstract

With the aging of our national civil infrastructure, engineers and maintenance personnel face a challenging, if not daunting task of maintaining them. Recent trends in finite element (FE) analysis software have proven invaluable in modeling structures and their behavior. Parameter Estimation is the process by which parameters of a structure in question are determined by experimental or analytical means. Model updating is a commonly used method to determine the "as-is" condition of an existing structure. Preliminary models can be updated using methods such as manual updating and optimization. The researchers will first review classical matrix methods and formulate both stiffness and flexibility-based error functions for model optimization. Error that has significant impact on the success and reliability of FE models is generally due to the unknown-nature of the boundary conditions. A simplysupported steel beam is used as a test-bed to carry-out both analytical and experimental analysis of multiple boundary condition setups. Static measurements are used to update the spring stiffness and dynamic measurements are used to verify the updated parameters. The test beam is instrumented with an array of displacement transducers, tiltmeters and accelerometers to provide input for the optimization program. An inexpensive and easy to use spreadsheet-based optimization program is developed to update the unknown parameters of the structure by minimizing the norms of the error functions.

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

84861535985 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84861535985

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