Visualization of automated multi sensor NDT assessment of concrete structures
- This talk demonstrates the results of the IGSTC-project entitled "NDT-Data Fusion". Project approach: Nondestructive testing (NDT) of concrete buildings allows to coordinate efficient repair measures. Multi-sensor platforms collect large data sets. Nevertheless, data analysis is typically performed manually. Data Fusion uses the full potential of a multi-sensory data set in order to: improve information quality (reliability, robustness, accuracy, clarity, completeness) and enables automated algorithm based data analysis. We present the project achievements, namely: - Development of building scanner system for multisensory NDT - Laboratory multi sensor investigations - Development of data fusion concept for honeycombing and pitting corrosion - Field testing
Autor*innen: | Christoph VölkerORCiD |
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Koautor*innen: | P. Srinivasan |
Dokumenttyp: | Vortrag |
Veröffentlichungsform: | Präsentation |
Sprache: | Englisch |
Jahr der Erstveröffentlichung: | 2017 |
DDC-Klassifikation: | Naturwissenschaften und Mathematik / Chemie / Analytische Chemie |
Freie Schlagwörter: | Concrete; Corrosion; Data fusion; Honeycombs; Machine learning; NDT |
Veranstaltung: | IGSTC-Partners Meeting 2017 |
Veranstaltungsort: | Jodhpur, India |
Beginndatum der Veranstaltung: | 22.10.2017 |
Enddatum der Veranstaltung: | 23.10.2017 |
Verfügbarkeit des Dokuments: | Datei im Netzwerk der BAM verfügbar ("Closed Access") |
Datum der Freischaltung: | 12.02.2018 |
Referierte Publikation: | Nein |
Eingeladener Vortrag: | Nein |