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Sep 1, 2007

Development of Static-Response-Based Objective Functions for Finite-Element Modeling of Bridges

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Publication: Journal of Bridge Engineering
Volume 12, Issue 5

Abstract

The basic mechanisms and procedures of finite-element (FE) modeling and calibration are briefly presented in the context of bridge condition assessment. Different physical parameters of FE models are adjusted to simulate experimental measurements. To quantify the calibration process, static-response-based objective functions are carefully developed based on two powerful condition indices: bridge girder condition indicators and unit influence lines. Critical issues related to the indices are discussed in detail. Using an existing calibration strategy, a nominal FE bridge model is optimized by minimizing this global static-response-based objective function. The value of the objective function is reduced from 12.98 to 4.45%, which indicates convergence of the calibration process. It is shown that the automated calibration becomes practical due to the formulation of the static-response-based objective function.

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Acknowledgments

The writers gratefully acknowledge the sponsors of this research: the National Science Foundation, the Federal Highway Administration, the American Society for Nondestructive Testing, and the Ohio Department of Transportation.

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Published In

Go to Journal of Bridge Engineering
Journal of Bridge Engineering
Volume 12Issue 5September 2007
Pages: 544 - 551

History

Received: Jul 6, 2004
Accepted: Dec 20, 2005
Published online: Sep 1, 2007
Published in print: Sep 2007

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Authors

Affiliations

Xiaoyi Wang, M.ASCE
P.E.
Formerly, Ph.D. Student, Dept. of Civil and Environmental Engineering, Univ. of Cincinnati, OH 45221-0071.
James A. Swanson, A.M.ASCE
Associate Professor, Univ. of Cincinnati Infrastructure Institute, Dept. of Civil and Environmental Engineering, Univ. of Cincinnati, Cincinnati, OH 45221-0071.
Arthur J. Helmicki, M.ASCE
Professor, Univ. of Cincinnati Infrastructure Institute, Dept. of Electrical and Computer Engineering and Computer Science, Univ. of Cincinnati, Cincinnati, OH 45221-0030.
Victor J. Hunt
Assistant Research Professor, Univ. of Cincinnati Infrastructure Institute, Dept. of Electrical and Computer Engineering and Computer Science, Univ. of Cincinnati, Cincinnati, OH 45221-0030.

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