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Title:

PERFORMANCE EVALUATION SYSTEM FOR MAIN REINFORCED CONCRETE GIRDERS OF EXISTING BRIDGES

Accession Number:

00978428

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States
Order URL: http://www.trb.org/Main/Public/Blurbs/155183.aspx

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Order URL: http://worldcat.org/isbn/0309094607

Abstract:

A novel performance evaluation system for main reinforced concrete girders of existing bridges evaluates durability and load-carrying capability by using technical specifications and results of simple visual inspections. Three features of the system are described. The first feature is the application of an expert system. Because the purpose of this study is to develop a novel system to evaluate the performance of a bridge element with limited information provided from simple visual inspections, it is necessary to embed into the system the knowledge of bridge experts. The second feature is a neuro-fuzzy hybrid inference. The system performs a fuzzy inference to simulate the inference mechanism used by experts for evaluating bridges. This process is integrated into a computer as a neural network; therefore, the system improves the knowledge base by using the back-propagation method. The third feature is the visualization of the inference process. The system must clearly explain how the outputs are calculated because the road networks, including bridges, represent important investments that must be carefully monitored. The learning capability of the system is demonstrated on an existing bridge in Japan. The effectiveness is verified by comparing the diagnostic results provided by a bridge expert and those proposed by the system.

Supplemental Notes:

This paper appears in Transportation Research Record No. 1866, Maintenance and Management of Pavement and Structures.

Monograph Accession #:

00978419

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Kawamura, K
Frangopol, D M
Miyamoto, A
Abe, M

Pagination:

p. 67-78

Publication Date:

2004

Serial:

Transportation Research Record

Issue Number: 1866
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

0309094607

Features:

Figures (11) ; References (9) ; Tables (4)

Uncontrolled Terms:

Neuro-fuzzy hybrid inference

Geographic Terms:

Japan

Subject Areas:

Bridges and other structures; Design; Highways; Maintenance and Preservation; I24: Design of Bridges and Retaining Walls; I60: Maintenance

Files:

TRIS, TRB, ATRI

Created Date:

Sep 9 2004 12:00AM

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