00714810

Component

http://onlinepubs.trb.org...trr/1995/1490/1490-003.pdf

https://scholar.google.co...Hawk&publication_year=1995

Accurate prediction of the future condition of bridge elements is one of the cornerstones of any bridge management system's (BMS's) optimization model. The BRIDGIT BMS software uses condition state quantities to represent the conditions of the various elements that make up a bridge. The use of condition states does not allow for an easy application of classical deterministic deterioration curves. It is necessary to model the transition of element quantities through their various condition states. Predicting the deterioration of an element through time is essential for estimating the timing of future repair and improvement actions and calculating their associated costs. Deterioration of a bridge element can be represented by a Markov chain process. By this approach transitional rates are calculated to project the quantities of a bridge element that will move to lower condition states in a defined time interval. BRIDGIT uses derivatives of Markov chain processes to model unprotected elements, protection systems (such as paint systems or deck overlays), and protected elements in which the protection system modulates the deterioration of the base element. In addition, BRIDGIT considers the effects of environment, traffic volumes, and previous repairs that may accelerate the deterioration of decks, slabs, and overlays.

This paper appears in Transportation Research Record No. 1490, Management and Maintenance of Bridge Structures. 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

01399803

English

p. 19-22

1995

Transportation Research Record

0309061547

Figures (1) ; References (3) ; Tables (1)

Bridge management systems; Bridge members; Deterioration; Environmental impacts; Forecasting; Markov processes; Optimization; Physical condition; Protection; Repairing; Software; Traffic volume

Repairs

Bridges and other structures; Design; Environment; Highways; Maintenance and Preservation; Safety and Human Factors; Security and Emergencies; I24: Design of Bridges and Retaining Walls; I60: Maintenance

TRIS, TRB

Nov 30 1995 12:00AM

• BRIDGE ELEMENT DETERIORATION RATES
• BRIDGE REPLACEMENT COST ANALYSIS PROCEDURES
• COST RELATIONSHIPS FOR CONCRETE BRIDGE PROTECTION, REPAIR, AND REHABILITATION
• DETERMINATION OF END OF FUNCTIONAL SERVICE LIFE FOR CONCRETE BRIDGE DECKS
• GRAVITY-FILL POLYMER CRACK SEALERS
• MECHANISM OF ACTION OF CORROSION-INHIBITED HIGHWAY DEICERS
• SERVICE LIFE EVALUATION OF CONCRETE SURFACE COATINGS
• SERVICE LIVES OF CONCRETE SEALERS
• USE OF HYDRODEMOLITION TO REMOVE DETERIORATED CONCRETE FROM BRIDGE DECKS
• USE OF NEURAL NETWORKS IN BRIDGE MANAGEMENT SYSTEMS