TECHNICAL PAPERS
Dec 1, 2006

Reliability-Based Optimization of Fiber-Reinforced Polymer Composite Bridge Deck Panels

Publication: Journal of Structural Engineering
Volume 132, Issue 12

Abstract

A reliability-based optimization procedure is developed and applied to minimize the weight of eight fiber-reinforced polymer composite bridge deck panel configurations. The method utilizes interlinked finite element, optimization, and reliability analysis procedures to solve the weight minimization problem with a deterministic strength constraint and two probabilistic deflection constraints. Panels are composed of an upper face plate, lower face plate, and a grid of interior stiffeners. Different panel depths and stiffener layouts are considered. Sensitivity analyses are conducted to identify significant design and random variables. Optimization design variables are panel component ply thicknesses, while random variables include load and material resistance parameters. It was found that panels were deflection governed, with the optimization algorithm yielding little improvement for shallow panels, but significant weight savings for deeper panels. The best design resulted in deep panels with close stiffener spacing to minimize local upper face plate deformations under the imposed traffic (wheel) loads.

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Information & Authors

Information

Published In

Go to Journal of Structural Engineering
Journal of Structural Engineering
Volume 132Issue 12December 2006
Pages: 1898 - 1906

History

Received: Mar 7, 2005
Accepted: Apr 19, 2006
Published online: Dec 1, 2006
Published in print: Dec 2006

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Notes

Note. Associate Editor: Christopher M. Foley

Authors

Affiliations

Michel D. Thompson
Former Graduate Student, Dept. of Civil Engineering, Mississippi State Univ., Mississippi State, MS 39762.
Christopher D. Eamon [email protected]
Assistant Professor, Dept. of Civil Engineering, Mississippi State Univ., Mississippi State, MS 39762. E-mail: [email protected]
Masoud Rais-Rohani [email protected]
Professor, Dept. of Aerospace Engineering, Mississippi State Univ., Mississippi State, MS 39762. E-mail: [email protected]

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