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Der Beitrag beschreibt das Konzept einer vollständig datenbasierten, weitgehend automatisierten Prozedur für die Zustandsbewertung von Oberflächenschutzsystemen von Stahlbauten am Beispiel der Turmstruktur einer Onshore-Windenergieanlage. Es werden Akquisition, Bearbeitung und Bewertung der Daten sowie ihre Implementierung in ein mathematisch-empirisches Zustandsbewertungsmodell beschrieben und diskutiert. Das Zustandsbewertungsmodell beruht auf der Bestimmung eines lokalen Abbaugrads, der für am Bauwerk jeweils eindeutig zugeordnete Referenzbereiche bestimmt wird. Die Erstellung der Referenzbereiche mittels einer In situ Virtual Twin Computation wird vorgestellt und bewertet. Die vorgeschlagene datenbasierte Bewertungsprozedur wird anhand eines Stahlturms einer Onshore-Windenergieanlage in ländlicher korrosiver Umgebung erläutert. Anwendungen auf Stahlbauwerken mit vergleichbarer Geometrie (Silos, Schornsteine, Pfähle) sowie auf Stahlbauwerken unter Offshore-Bedingungen sind möglich.

Digitalization and the use of sensor data for the condition monitoring of surface protection systems of steel towers of onshore wind power structures
The paper describes the concept of a fully data-based, mainly automated, procedure for the condition monitoring of surface protection systems on steel structures. Acquisition, processing and evaluation of relevant data as well as their implementation into a mathematical-empirical condition monitoring model are discussed. The monitoring model is based on the definition and assessment of a local deterioration degree, which is characteristic for pre-defined reference areas at the structure. The creation of the reference areas by means of In-situ Virtual Twin Computation is introduced. The data-based assessment procedure is practically exemplified on a steel tower of an onshore wind power structure in a rural corrosive environment. The procedure can be applied to steel structures with similar geometries (storage tanks, silos, chimneys) as well as to offshore conditions.
 
Source:     Stahlbau 90 (2021), No. 7
 
Page/s:     528-541
 
Language of Publication:     German



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