Abstract
Although measurement data from the civil engineering sector are an important basis for scientific analyses in the field of non-destructive testing (NDT), there is still no uniform representation of these data. An analysis of data sets across different test objects or test types is therefore associated with a high manual effort. Ontologies and the semantic web are technologies already used in numerous intelligent systems such as material cyberinfrastructures or research databases. This contribution demonstrates the application of these technologies to the case of the 1H nuclear magnetic resonance relaxometry, which is commonly used to characterize water content and porosity distribution in solids. The methodology implemented for this purpose was developed specifically to be applied to materials science (MS) tests. The aim of this paper is to analyze such a methodology from the perspective of data interoperability using ontologies. Three benefits are expected from this approach to the study of the implementation of interoperability in the NDT domain: First, expanding knowledge of how the intrinsic characteristics of the NDT domain determine the application of semantic technologies. Second, to determine which aspects of such an implementation can be improved and in what ways. Finally, the baselines of future research in the field of data integration for NDT are drawn.
Highlights
In many industrialized countries, infrastructure buildings are in increasingly poor condition [1,2]
This study discusses the application of a specific methodology—digital workflow, which can be analyzed through ontology engineering—to a specific non-destructive testing (NDT) pilot case—nuclear magnetic resonance (NMR) relaxometry
The metadata file of the NMR relaxometry device is automatically created by the commercial equipment used in the test [106]
Summary
Infrastructure buildings are in increasingly poor condition [1,2]. Given the high carbon footprint of new buildings, it is unclear how much of the infrastructure can be rebuilt [3]. Due to the high damage potential, the characterization of the microstructure-dependent moisture condition and knowledge of the distribution of damage-influencing ions are of central importance. Due to the interdisciplinary character of this paper this section contains four subsections. Every subsection establishes some basis to understand the methodology of the current article. The Use of Ontology Engineering in Materials Science. Several initiatives have emerged to build digital platforms that act as data hubs in MS and try to address the challenges of implementing interoperability. Initiatives and platforms such as Material Genome
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
