TY - CONF A1 - Taffe, Alexander A1 - Stoppel, Markus A1 - Wiggenhauser, Herbert T1 - Zerstörungsfreie Prüfverfahren im Bauwesen (ZfPBau) T2 - Betoninstandsetzung im Ingenieur- und Wohnungsbau CY - Filderstadt/Stuttgart, Deutschland DA - 2010-03-04 KW - Zerstörungsfreie Prüfung im Bauwesen KW - ZfPBau KW - Radar KW - Ultraschallecho KW - Automatisierung KW - Radiographie KW - OSSCAR KW - BetoScan PY - 2010 SP - 35 EP - 58 AN - OPUS4-20984 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Cotic, P. A1 - Niederleithinger, Ernst A1 - Stoppel, Markus T1 - Unsupervised fusion of scattered data collected by a multi-sensor robot on concrete N2 - At BAM a multi-sensor robot system BetoScan is used for the investigation of reinforced concrete floors affected by corrosion in parking garages. Potential maps, as well as the distribution of concrete cover and moisture can be assessed simultaneously and data can be collected contactlessly. In order to evaluate the extent of degradation adequately and to divide the investigated structure into zones with defined damage classes, large data sets have to be collected and interpreted manually. Thus, to promote an efficient data evaluation framework, which could speed up and simplify the evaluation of large data sets, an unsupervised data fusion is of major interest. However, taking into account that collected data do not certainly coincide in space, a scattered data interpolation method should be applied prior data fusion. In the paper, a case study involving a BetoScan data set acquired from a reinforced concrete floor of a parking garage in Germany is presented. The data set includes potential mapping, covermeter based on eddy current, as well as microwave moisture measurements. Among the examined methods for interpolation of scattered data, kriging shows to yield smooth interpolated data plots even in the case of very sparse data. In the post-processing step, the investigated structure is efficiently segmented into zones using clustering based data fusion methods, which prove to be robust enough also for handling noisy data. Based on the minimization of the XB validity index, an unsupervised selection of optimal segmentation into damage classes is derived. T2 - DGZfP-Jahrestagung 2014 CY - Potsdam, Germany DA - 26.05.2014 KW - Robot KW - Data fusion KW - Ultrasonics KW - Radar KW - Potential method PY - 2014 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:b43-337943 UR - http://www.ndt.net/article/dgzfp2014/papers/di2c1.pdf SN - 978-3-940283-61-0 IS - DGZfP-BB 148 SP - Di.2.C.1, 1 EP - 8 PB - Deutsche Gesellschaft für Zerstörungsfreie Prüfung (DGZfP) AN - OPUS4-33794 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bartholmai, Matthias A1 - Stoppel, Markus A1 - Petrov, Sergej A1 - Hohendorf, Stefan A1 - Goedecke, Thomas T1 - Two application examples of RFID sensor systems - Identification and diagnosis of concrete components and monitoring of dangerous goods transports N2 - The combination of radio-frequency identification (RFID) tags with different types of sensors offers excellent potential for applications with regard to identification, diagnosis, and monitoring. This should be demonstrated by means of two examples of actual developments carried out by the Federal Institute for Materials Research and Testing (BAM). The Identification and diagnosis of concrete components is a major task in the maintenance of critical infrastructure, for instance concrete bridges with heavy traffic volume. A feasibility study investigates the application of RFID sensor systems for this task. The second example reviews the transportation of dangerous goods. Using modern technologies enables promising possibilities to reduce accidents and to avoid non-conformity with transportation regulations. Project results demonstrate an innovative technical solution for monitoring of dangerous goods transports with RFID sensor systems. T2 - 13th IMEKO TC10 Workshop on technical diagnostics CY - Warsaw, Poland DA - 26.04.2014 KW - RFID Sensor systems KW - Monitoring KW - Bridge components KW - Dangerous goods PY - 2014 SN - 978-92-990073-3-4 SP - ID 0019, 111 EP - 115 AN - OPUS4-30990 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Stoppel, Markus A1 - Fakhouri, A. ED - Grantham, M. ED - Basheer, P. A. M. ED - Magee, B. ED - Soutsos, M. T1 - Suitability of embedded RFID-sensors for concrete bridge structures T2 - Concrete Solutions 2014 CY - Belfast, UK DA - 2014-09-01 KW - NDT KW - Embedded sensors KW - RFID KW - Moisture measurement KW - Corrosion PY - 2014 SN - 978-1-138-02708-4 SP - 1 EP - 6(?) PB - CRC Press AN - OPUS4-31723 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Stoppel, Markus A1 - Kurz, J.H. A1 - Taffe, Alexander A1 - Boller, C. ED - Chang, F.-K. T1 - Proactive condition assessment in civil engineering using automated multi-sensor systems N2 - Infrastructure is subject to continuous ageing. This has given life cycle management of infrastructure an increasing role. Reliable inspection and monitoring tools are therefore an increasing demand. A combination of different non-destructive test methods is often necessary to receive reliable results for material characterization, flaw detection and the determination of component specific geometry parameters. Regarding concrete structures thickness measurements are combined with flaw detection and additional information about reinforcement and tendon ducts is required. Therefore, a multi-sensor measurement approach is necessary with a high degree of automation. Otherwise a time consuming succession of manual measurements has to be performed which would prevent practical applications. A modular control and data acquisition approach is described and the application of two different automated measurement devices is shown. The BetoScan system consists of a self-navigating mobile robot. The system is especially designed for the investigation of reinforced concrete floors exposed to de-icing salts. The data acquisition of the OSSCAR system a multi-sensor scanner is similar to the robot approach. These different applications are based on a similar kernel allowing the modular use of different contact and noncontact sensors. The described general concept of multi-sensor data acquisition and data analysis presented here is not limited to the field of civil engineering applications. T2 - 8th International workshop on structural health monitoring 2011 CY - Stanford, CA, USA DA - 13.09.2011 KW - Multi sensor KW - Data acquisition KW - Assessment of concrete structures KW - Scanner KW - NDT PY - 2011 SN - 978-1-60595-053-2 VL - 2 SP - 2359 EP - 2366 PB - DEStech Publications, Inc. AN - OPUS4-24692 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Taffe, Alexander A1 - Kind, Thomas A1 - Stoppel, Markus A1 - Kurz, J. H. T1 - OSSCAR-Bauwerkscanner: Automatisierte Datenaufnahme von Radar, Ultraschall und Wirbelstrom an Spannbetonbauteilen mit bildgebender Darstellung der inneren Konstruktion N2 - Bereits seit vielen Jahren stehen Anwendern der zerstörungsfreien Prüfung im Bauwesen (ZfPBau) zuverlässige Geräte für Radar-, Wirbelstrom- und Ultraschallmessungen an Betonbauteilen zur Verfügung. Doch erst die Kombination dieser drei Verfahren an einer Messfläche erlaubt den maximalen Informationsgewinn über die innere Konstruktion von Stahlbeton- und Spannbetonbauteilen. Mit dem OSSCAR-Bauwerkscanner wurden diese drei Verfahren erstmals zur kombinierten und automatisierten Datenaufnahme an einem Scannerrahmen und unter einer Software vereint. Die Ergebnisse werden bildgebend in frei wählbaren Schnitten dargestellt, was eine Rekonstruktion von Bauteilen erlaubt, für die keine Planunterlagen vorliegen. T2 - DGZfP-Jahrestagung 2011 CY - Bremen, Germany DA - 30.05.2011 KW - Zerstörungsfreie Prüfung im Bauwesen KW - Bauwerkscanner KW - Brückenprüfung KW - Ultraschall KW - Radar KW - Wirbelstrom KW - Kombination PY - 2011 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:b43-253767 SN - 978-3-940283-33-7 IS - DGZfP-BB 127 (Mi.3.B.1) SP - 1 EP - 8 PB - Deutsche Gesellschaft für Zerstörungsfreie Prüfung (DGZfP) AN - OPUS4-25376 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Taffe, Alexander A1 - Kind, Thomas A1 - Stoppel, Markus A1 - Wiggenhauser, Herbert ED - M.G. Alexander, ED - H.-D. Beushausen, ED - F. Dehn, ED - P. Moyo, T1 - OSSCAR - Development of an On-Site SCAnneR for automated non-destructive bridge testing T2 - 2nd International Conference on Concrete Repair, Rehabilitation and Retrofitting CY - Cape Town, South Africa DA - 2008-11-24 KW - NDT KW - Automated bridge testing KW - Onsite scanner KW - Ultrasonic echo KW - Radar KW - Damage assessment KW - Damage analysis KW - OSSCAR PY - 2009 SN - 978-0-415-46850-3 SP - 541 EP - 545 PB - CRC Press CY - Boca Raton AN - OPUS4-18602 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Kurz, J.H. A1 - Stoppel, Markus A1 - Taffe, Alexander A1 - Dobmann, G. ED - Thompson, D.O. ED - Chimenti, D.E. T1 - Control and data acquisition of automated multi-sensor systems - two examples from civil engineering T2 - 36th Annual Review of Progress in Quantitative Nondestructive Evaluation CY - Kingston, RI, USA DA - 2009-07-26 KW - Civil engineering KW - Multi-sensor KW - Ultrasound KW - Radar KW - Eddy current KW - Potential methods PY - 2010 SN - 978-0-7354-0748-0 SN - 0743-0760 SN - 0094-243X N1 - Serientitel: AIP conference proceedings – Series title: AIP conference proceedings SP - 1789 EP - 1794 CY - Melville, NY AN - OPUS4-22723 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Raupach, M. A1 - Reichling, K. A1 - Wiggenhauser, Herbert A1 - Stoppel, Markus A1 - Dobmann, G. A1 - Kurz, J. ED - M.G. Alexander, ED - H.-D. Beushausen, ED - F. Dehn, ED - P. Moyo, T1 - BETOSCAN - An instrumented mobile robot system for the diagnosis of reinforced concrete floors T2 - 2nd International Conference on Concrete Repair, Rehabilitation and Retrofitting CY - Cape Town, South Africa DA - 2008-11-24 KW - Corrosion KW - Diagnosis KW - Steel KW - Concrete KW - Reinforcement KW - NDT KW - Automated testing KW - Onsite scanner KW - Ultrasonic echo KW - Radar KW - Damage assessment KW - Damage analysis KW - Betoscan PY - 2009 SN - 978-0-415-46850-3 SP - 651 EP - 655 PB - CRC Press CY - Boca Raton AN - OPUS4-18668 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Reichling, K. A1 - Raupach, M. A1 - Wiggenhauser, Herbert A1 - Stoppel, Markus A1 - Dobmann, G. A1 - Kurz, J. T1 - BETOSCAN - A robotic system for simultaneous diagnoses of reinforced concrete structures T2 - NUCPERF 2009 - Long term performance of cementitious barriers and reinforced concrete in nuclear power plants and waste management CY - Cadarache, France DA - 2009-03-30 KW - Diagnosis KW - Steel KW - Reinforced concrete KW - BetoScan KW - Betonflächendiagnose KW - Scanner KW - ZfP im Bauwesen KW - Non destructive testing KW - Corrosion PY - 2009 SN - 978-2-35158-072-1 N1 - Serientitel: RILEM proceedings – Series title: RILEM proceedings IS - 64 SP - 1 EP - 7(?) PB - RILEM Publ. CY - Bagneux AN - OPUS4-22485 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -