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Title: PROBABILISTIC ASSESSMENT OF PRESTRESSED CONCRETE BRIDGE
Accession Number: 00711679
Record Type: Component
Availability: Find a library where document is available Abstract: The structure of an existing bridge cannot be assessed using the same nominal parameters and safety factors calibrated for the design of new bridges. The direct use of probabilistic methods allows a determination of the safety and serviceability of an existing structure. The uncertainties involved with load and resistance values in the assessment of concrete bridges are usually lower than in the design stage because the strength and load effects can be estimated accurately by using information from inspections, experimental tests, traffic measurements and other supplementary data. After that, a full probabilistic analysis is performed, as with design code calibration, but for each particular case of study. A practical example is presented, including the assessment of a prestressed concrete bridge, to illustrate the abilities of probabilistic methods to assess existing structures.
Supplemental Notes: 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: Monograph Accession #: 00711666
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Sobrino, J ACASAS, J RPagination: p. 110-116
Publication Date: 1995
Conference:
Fourth International Bridge Engineering Conference
Location:
San Francisco, California ISBN: 0309061091
Features: Figures
(6)
; References
(9)
; Tables
(3)
TRT Terms: Uncontrolled Terms: Subject Areas: Bridges and other structures; Data and Information Technology; Design; Highways; Safety and Human Factors; I24: Design of Bridges and Retaining Walls
Files: TRIS, TRB
Created Date: Sep 5 1995 12:00AM
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