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Title: BRIDGE INSPECTION DECISION MAKING BASED ON SEQUENTIAL HYPOTHESIS TESTING METHODS
Accession Number: 00795300
Record Type: Component
Record URL: Availability: Transportation Research Board Business Office 500 Fifth Street, NW Find a library where document is available Abstract: A bridge management system (BMS) is a decision support system used by a highway agency in selecting appropriate maintenance and rehabilitation (M&R) activities and in allocating available resources effectively among facilities. BMS decision making is based on the condition of bridge components, their predicted deterioration, and the cost and effectiveness of M&R activities. Traditionally, bridge condition assessments have relied mainly on human inspectors; their results have generally been qualitative and subjective. More detailed inspections requiring some degree of destruction of the bridge, like drilling the deck to inspect for chloride contamination, have also been used. With recent technological developments, methods have been developed to evaluate the condition of bridge structures in a quantitative and objective manner. Associated with the use of these technologies are questions relating to inspection frequency, sample size, and the integration of data from the various technologies and human inspections. The application of a statistical decision-making method, sequential hypothesis testing, to these questions is presented. The mathematical formulation of the sequential hypothesis testing model, the derivation of optimal inspection policies, and the implementation of these policies in the context of bridge component inspection are discussed. A parametric analysis illustrates the sensitivity of the method to the cost structure of the problem, the precision of the technologies used, and the historical information or expert judgment regarding the condition of bridge components.
Supplemental Notes: This paper appears in Transportation Research Record No. 1697, Maintenance and Management of Bridges and Pavements.
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Madanat, SLin, D-JPagination: p. 14-18
Publication Date: 2000
Serial: ISBN: 030907150X
Features: Figures
(3)
; References
(17)
; Tables
(2)
TRT Terms: Subject Areas: Bridges and other structures; Data and Information Technology; Design; Finance; Highways; Maintenance and Preservation; Policy; Research; I24: Design of Bridges and Retaining Walls; I61: Equipment and Maintenance Methods
Files: TRIS, TRB, ATRI
Created Date: Jul 17 2000 12:00AM
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