- Author
-
Lounis, Z.
|
Martin-Perez, B.
|
Hunaidi, O.
- Title
- Decision Support Tools for Life Prediction and Rehabilitation of Concrete Bridge Decks.
- Coporate
- National Research Council of Canada, Ottawa, Ontario
- Report
-
NRCC-45159,
- Distribution
- FOR MORE INFORMATION CONTACT: National Research Council of Canada, Institute for Research in Construction, Ottawa, Ontario, K1A 0R6, Telephone (613) 993-2607, Fax: (613) 952-7673, Email: Irc.Client-Services@nrc.ca Website: http://irc.nrc-cnrc.gc.ca/fulltext/nrcc44511/ [FULL DOCUMENT IN PDF]: http://irc.nrc-cnrc.gc.ca/fulltext/nrcc45159/
- Book or Conf
- Supersized Session on Asset Management. APWA International Public Work Congress. Proceedings. September 2001,
Philadelphia, PA,
67-77 p.,
2001
- Keywords
-
bridges (structures)
|
corrosion
|
damage
|
costs
|
simulation
|
life (durability)
|
concretes
- Identifiers
- corrosion initiation; chloride attack; corrosion-induced damage; life cycle cost; rehabilitation options; reliability; service life; concrete bridge decks
- Abstract
- The selection of the optimum rehabilitation method of corrosion-damaged concrete bridge structures requires an assessment of the total costs that will be incurred throughout their life cycles for all rehabilitation methods. A reliable estimate of the life cycle cost requires reliable information and data on the service life of different rehabilitation methods. The prediction of the service life of rehabilitated bridge structures presents considerable uncertainty associated with the analytical models of damage initiation and damage accumulation, variability of material properties, structural dimensions, and applied environmental and mechanical loads. Existing approaches and guidelines for service life prediction and rehabilitation of bridge structures are based on expert opinion or simple deterministic predictive models that are of limited reliability and utility. Therefore, a new approach for a reliable prediction of the service life of bridge structures with different rehabilitation treatments is necessary. The main objective of this paper is to provide an overview of a proposed research project related to the development of software-based decision support tools for service life prediction and rehabilitation of corrosion-damaged concrete bridge decks. The emphasis on bridge decks is due to the fact that they are the most stressed elements in highway bridges, and their maintenance accounts for about one-third to one-half of the bridge rehabilitation costs. The proposed tools consist of a reliability-based service life prediction model and a life cycle costing model that will assess the impact of alternative rehabilitation strategies on extending the life of the deck and their corresponding total costs.