Work

CORR ‐ DATA : A database of corrosion parameters measured on existing reinforced concrete structures for enhanced structural assessment

Year: 2025

Type: article

Abstract: The corrosion of reinforcing bars embedded in concrete strongly compromises structural performance over time. However, its detection and quantification remain challenging due to limited comprehensive knowledge of natural corrosion patterns in existing structures. This paper introduces CORR‐DATA, a database established to collect, categorize, and analyze consistent and comparable data from reinforcing bars extracted from naturally corroded structures. The database is intended to support the prediction of corrosion‐induced deterioration in structures exposed to similar environmental conditions and to enable a more accurate estimation of their residual properties. The paper outlines the included parameters and their associated collection methodologies, and discusses critical aspects of corrosion data evaluation, such as oxide removal procedures, elongation capacity measurements, chloride content interpretation, and the definition of the maximum‐to‐average attack ratio. In the latter aspect, the corrosion pattern on a few samples of naturally corroded bars subjected to chloride‐induced corrosion is analyzed in detail, highlighting key challenges in defining and identifying the minimum residual cross‐section.

Source: Structural Concrete

DOI: 10.1002/suco.70225

Authors: Elena Casprini, Leonardo Todisco, Severin Haefliger

Institutions: University of Bergamo, Universidad Politécnica de Madrid, ETH Zurich, Institute of Structural Engineering

Language: English

Topic: Concrete Corrosion and Durability

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

Estimated APC paid: $3,820

Funders: Università degli studi di Bergamo, European Commission, NextGenerationEU