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Title:

BRIDGE PERFORMANCE PREDICTION MODEL USING THE MARKOV CHAIN

Accession Number:

00485572

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/isbn/030904720X

Abstract:

As part of a study to develop a comprehensive bridge management system for the Indiana Department of Highways (IDOH), a bridge performance prediction model using the Markov chain was developed. The model can be used to predict the percentages of bridges with different condition ratings as well as to develop performance curves of bridges. The Markov chain, a probability-based method, was used in the model to reflect the stochastic nature of bridge conditions. The study exhibited the power of the Markov chain approach in prediction or estimation of future bridge conditions. The procedure, although simple, was found to provide a high level of accuracy in predicting bridge conditions.

Supplemental Notes:

This paper appears in Transportation Research Record No. 1180, Bridge Design and Testing. Distribution, posting, or copying of this PDF is strictly prohibited without written permission of the Transportation Research Board of the National Academy of Sciences. Unless otherwise indicated, all materials in this PDF are copyrighted by the National Academy of Sciences. Copyright © National Academy of Sciences. All rights reserved

Monograph Title:

Bridge design and testing

Monograph Accession #:

01416537

Authors:

Jiang, Yi
Saito, Mitsuru
Sinha, Kumares C

Pagination:

p. 25-32

Publication Date:

1988

Serial:

Transportation Research Record

Issue Number: 1180
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

030904720X

Features:

Figures (3) ; References (8) ; Tables (6)

Uncontrolled Terms:

Subject Areas:

Bridges and other structures; Design; Highways; I24: Design of Bridges and Retaining Walls

Files:

TRIS, TRB, ATRI

Created Date:

Jul 31 1989 12:00AM

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