DETERIORATION MODEL FOR CORROSION IN CONCRETE USING MONTE CARLO SIMULATION

There has been much work performed on the development of deterioration models for concrete bridges. Yet none of the models have been widely accepted by major specifications or design guidelines. All of the models reported can be devided into two groups: deterministic and probabilistic. Deterministic models are based on empirical relationships, while probabilistic models are based on the stochastic behavior of bridge populations. Both groups of models have been successfully used to predict deterioration in bridges. However, they both have inherent flaws, which make their use unwieldy. Probabilistic models are used to develop relationships when there are a large number of contributing factors, and the contribution of each is not easily or accurately understood. The probabilistic model can include both deterministic events, such as the infiltration of chloride ions into concrete, and probabilistic events, such as the distribution of concrete strengths for a given mixture design, age and curing environment. One solution to combining both model types is to incorporate the best of both while limiting the drawbacks of both. The use of a statistical simulation can provide the tool for such a solution. A Monte Carlo simulation is a method for generating values for an equation whose variables have a specified distribution.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/0784404216
• Corporate Authors:

  American Society of Civil Engineers

  1801 Alexander Bell Drive
  Reston, VA  United States  20191-4400
• Authors:
  • Gannon, E J
  • Tikalsky, P J
• Conference:
  • 1999 New Orleans Structures Congress
  • Location: New Orleans, Louisiana
  • Date: 1999-4-18 to 1999-4-21
• Publication Date: 1999

Language

• English

Media Info

• Features: References;
• Pagination: p. 476-479

Subject/Index Terms

• TRT Terms: Concrete; Concrete bridges; Corrosion; Deterioration; Determinants (Mathematics); Monte Carlo method; Probability; Simulation
• Subject Areas: Bridges and other structures; Data and Information Technology; Design; Highways; I24: Design of Bridges and Retaining Walls;

Filing Info

• Accession Number: 00778270
• Record Type: Publication
• ISBN: 0784404216
• Files: TRIS
• Created Date: Nov 2 1999 12:00AM