NDLI: Combining Signal Features of Ground-Penetrating Radar to Classify Moisture Damage in Layered Building Floors

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Combining Signal Features of Ground-Penetrating Radar to Classify Moisture Damage in Layered Building Floors

Content Provider	MDPI
Author	Klewe, Tim Strangfeld, Christoph Ritzer, Tobias Kruschwitz, Sabine
Copyright Year	2021
Description	To date, the destructive extraction and analysis of drilling cores is the main possibility to obtain depth information about damaging water ingress in building floors. The time- and cost-intensive procedure constitutes an additional burden for building insurances that already list piped water damage as their largest item. With its high sensitivity for water, a ground-penetrating radar (GPR) could provide important support to approach this problem in a non-destructive way. In this research, we study the influence of moisture damage on GPR signals at different floor constructions. For this purpose, a modular specimen with interchangeable layers is developed to vary the screed and insulation material, as well as the respective layer thickness. The obtained data set is then used to investigate suitable signal features to classify three scenarios: dry, damaged insulation, and damaged screed. It was found that analyzing statistical distributions of A-scan features inside one B-scan allows for accurate classification on unknown floor constructions. Combining the features with multivariate data analysis and machine learning was the key to achieve satisfying results. The developed method provides a basis for upcoming validations on real damage cases.
Starting Page	8820
e-ISSN	20763417
DOI	10.3390/app11198820
Journal	Applied Sciences
Issue Number	19
Volume Number	11
Language	English
Publisher	MDPI
Publisher Date	2021-09-23
Access Restriction	Open
Subject Keyword	Applied Sciences Non-destructive Testing Ground-penetrating Radar Signal Features Material Moisture Classification Machine Learning Moisture Measurements Building Floors Civil Engineering
Content Type	Text
Resource Type	Article

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