X-ray and neutron imaging for steel corrosion in concrete: addressing challenges and revealing opportunities
Paper in proceeding, 2025
X-ray attenuation generally increases with the atomic number (density) of the material, making XCT particularly effective for identifying voids in the specimen. In contrast, neutrons interact with the atomic nuclei and are sensitive to light elements, such as hydrogen, making NCT advantageous for identifying moisture and corrosion products in the sample. Effective implementation requires meticulously experimental planning to ensure high-quality data and efficient post-processing.
Sophisticated image analysis methods, such as a multimodal approach that exploits the statistics of both the X-ray and neutron attenuation fields, facilitate phase segmentation of the sample, thereby enabling detailed insights into factors such as the corrosion morphology and the influence of interfacial voids on pitting corrosion. Additionally, time-resolved imaging combined with digital volume correlation enable for monitoring the evolution of steel corrosion and damage within the sample.
This paper aims to provide insights into the effective application of XCT and NCT for investigating steel corrosion in reinforced concrete, focusing on the challenges and opportunities these techniques present for continuous, non-destructive monitoring. Through illustrative examples, this paper demonstrates how these imaging techniques can improve the understanding of steel corrosion in reinforced concrete.
Reinforced Concrete
Steel Corrosion
X-ray and Neutron Computed Tomography
Author
Andreas Alhede
Chalmers, Architecture and Civil Engineering, Structural Engineering
Jelke Dijkstra
Chalmers, Architecture and Civil Engineering, Geology and Geotechnics
Karin Lundgren
Chalmers, Architecture and Civil Engineering, Structural Engineering
12th International Conference on Fracture Mechanics for Concrete and Concrete Structures
Vienna, Austria,
Structural safety of corroded reinforced concrete structures from visual inspection
Formas (2022-01175), 2023-01-01 -- 2025-12-31.
Subject Categories (SSIF 2025)
Structural Engineering
DOI
10.21012/FC12.1364