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<p>Concrete is a construction material known for its resistance to compression and its durability. There are several methods for evaluating the durability of reinforced concrete structures, falling into two categories: destructive (D) and non-destructive (ND) methods. The DC-electrical resistivity method is devoted to ND evaluation. By measuring sets of concrete apparent resistivities, that are sensitive to water content, the durability of concrete can be evaluated. However, when applying this measurement technique to reinforced concrete structures, the measured apparent resistivity may be highly influenced by the steel reinforcement. The aim of this article is to study the influence of reinforcements on resistivity measurements on concrete. The problem was first studied using numerical analysis, then two applications were considered: the first is based on an experimental campaign and the second is an application to megastructures.</p>

Concrete is a construction material that is well known for its durability. However, it is exposed to environmental attacks that lead to the penetration of aggressive agents such as water and chlorides, thus, threatening its durability and service life. Within this context and exploiting the sensitivity of the electromagnetic properties of concrete to its water content, the literature suggests determining water saturation profiles using non-destructive techniques. For instance, measuring the electrical resistivity at several points of the surface of the concrete structure can lead to an estimate of the resistivity depth profile. Then, after a calibration step, the water saturation depth profile can be obtained and the durability can be assessed. Similarly, the water depth profile can be assessed by dielectric permittivity measurements. In this paper, we propose a new inversion scheme based on the combination of both resistive and capacitive measurements: resistivity and permittivity measurements are inverted jointly to estimate the water saturation profile in concrete. Numerical experiments with simulated data show that information gathered from the two measurements enriches the inversion process, leading to the determination of more reliable water saturation profiles.