Abstract
This paper presents a complete methodology that allows selecting optimized solutions for the extension of service-life of concrete structures exposed to aggressive environments. The methodology combines the use of field data and advanced modeling in a comprehensive approach. The first step of the method consists in collecting data on the concrete structures using a combination of techniques such as half-cell potential and linear polarization. The field activities also include extracting cores from selected concrete elements. Specimens from cores are tested to measure the physical and chemical properties of the material. The data generated from these previous steps are used as input parameters in an advanced mechanistic chloride transport model to predict future performances of the structure. Depending on the results, different remediation scenarios can be modeled such as concrete repairs, sealer applications, and cathodic protection, and compared to the simulations where no actions are taken. The cost of each remediation scenario can be compared to its benefit, which allows identification of optimized solutions. The paper provides a detailed description of each step. Case studies are then presented to illustrate the use of the methodology for different concrete structural elements.
