Contributing person datacite.contributor.Researcher	Bertram Richter
Countries to which the data refer datacite.geolocation.iso3166	GERMANY
Description of the data datacite.resourceType	A tsv file with associated metadata is stored for each of the individual combinations of displacement step (1-14 mm), gage pitch (0.65 mm, 1.30 mm, 2.60 mm, 5.20 mm) and DFOS type (ACR, ES, ORM, V9). This makes a total of 14 x 4 x 4 = 224 files. The files were processed using Python.
Type of the data datacite.resourceTypeGeneral	Dataset
Total size of the dataset datacite.size	107352532
Author dc.contributor.author	Herbers, Max
Upload date dc.date.accessioned	2024-03-15T14:56:33Z
Publication date dc.date.available	2024-03-15T14:56:33Z
Data of data creation dc.date.created	2023-08-29
Publication date dc.date.issued	2024-03-15
Abstract of the dataset dc.description.abstract	Based on the principle of coherent optical frequency domain reflectometery (c-OFDR), cracks in concrete structures can be precisely localized and their widths determined due to the high spatial resolution in the sub-millimeter range. However, with longer distributed fiber optic sensors (DFOS) lengths, as is common in structural health monitoring, the spatial resolution is reduced. Experimental studies were carried out to investigate the influence of the spatial resolution on the measurement quality in the area of large strain gradients. Four different DFOS, two robust and two filigree DFOS types, were subsequently installed on a 4 m long reinforced concrete beam. In a displacement controlled 4-point bending test, crack widths of up to 0.5 mm were measured with four different gage pitch (gp).
Public reference to this page dc.identifier.uri	https://opara.zih.tu-dresden.de//handle/123456789/471
Public reference to this page dc.identifier.uri	https://doi.org/10.25532/OPARA-420
Publisher dc.publisher	Technische Universität Dresden
Licence dc.rights	Attribution-NonCommercial 4.0 International	en
URI of the licence text dc.rights.uri	http://creativecommons.org/licenses/by-nc/4.0/
Specification of the discipline(s) dc.subject.classification	4
Title of the dataset dc.title	Strain curves measured with different DFOS types and varying spatial resolution by an ODiSI 6108
Research instruments opara.descriptionInstrument	ODiSI 6108
Project abstract opara.project.description	The goal of the IDA-KI research project is to develop methods for automated analysis and evaluation of monitoring data. The validation is carried out using real measurement data acquired on a 45 m long research bridge (openLAB). First, the reference condition of the bridge is measured with and without service loads over a period of one year. Subsequently, targeted load tests will be performed up to the severe damage state. At the same time, redundant sensors will be damaged or manipulated to create a real database with specific signal characteristics for metrological and structural anomalies. This will provide an important basis for the development of evaluation methods (also based on machine learning), so that measurement faults in monitoring data can be corrected in the future and differentiated from structural damage. Further information can be found in: https://onlinelibrary.wiley.com/doi/10.1002/best.202300094 Project title: IDA-KI (Automated assessment of monitoring data for infrastructure constructions using AI and IoT) Funding: Federal Ministry for Digital and Transport, Germany, within the innovation program mFUND Funding reference: 19FS2013A
Public project website(s) opara.project.publicReference	https://tu-dresden.de/bu/bauingenieurwesen/imb/forschung/ida-ki-infrastrukturdatenauswertung-mit-kuenstlicher-intelligenz?set_language=en
Project title opara.project.title	IDA-KI

Strain curves measured with different DFOS types and varying spatial resolution by an ODiSI 6108

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