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Control and data acquisition of automated multi-sensor systems - two examples from civil engineering
(2010)
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.
The combination of RFID tags and energy efficient sensors offers promising potential for identification, diagnosis, and monitoring applications - particularly when it comes to objacts, which require continuous observation and which are difficult to access with conventional tools. This paper presents two examples as an outlook for RFID sensor systems in embedded structures and in mobile applications.
A new approach is presented to evaluate corrosion of steel bars in concrete by 1.5- and 2.6-GHz ground-penetrating radar (GPR) and a modified half-cell potential method. Changes in time-lapsed travel times, amplitudes, and peak frequencies that are associated with short-time Fourier transform spectrograms of the bar reflections were continuously measured. The year-long corrosion process of the reinforcement bar rapidly accelerated within a few days by impressing direct current across a pair of embedded reinforcement bars, which served as the anode and cathode. When corrosion started, the travel times, amplitudes, and frequency spectra of the bar reflection changed. The results were analyzed by dividing the material's response into three phases (NaCl contamination, depassivation, and corrosion). The writers attribute the phenomena of the first two phases to the ionic conduction and interfacial polarization effect, described in the low-frequency regime of complex dielectric permittivity outlined in the Maxwell-Wagner effect. The remaining phase corresponds with the appearance of large and multiple interfaces among steel, concrete, corrosion product, and cracks, in addition to the upward movement of the corrosion product to the concrete surface that intercepts wider radar footprints. The findings, based on time lapse measurements, provide a basis to further apply the GPR technique to spatial measurements in laboratory and field studies.
Eine Vielzahl zerstörungsfreier Prüfverfahren hat in den letzten Jahren Einzug in die Bauwerksuntersuchung gehalten. Um die Aussagekraft der Einzelverfahren zu erhöhen und den wirtschaftlichen Einsatz weiter voranzubringen, lag es nahe, die Verfahren kombiniert auf einer automatisierten Plattform zu montieren. Zu diesem Zweck wurde das BetoScan-System entwickelt. Um weitere Erfahrungen mit dem BetoScan-System zu erhalten, wurde ein langjährig genutztes Parkhaus aus Stahlbeton mit Gussasphaltfahrbahn als Untersuchungsobjekt ausgewählt. Bei der experimentellen Bauwerksuntersuchung wurden die Verfahren Wirbelstrom, Radar, Ultraschall und Mikrowelle zum Einsatz gebracht. Von der Anwendung des Systems und der Auswertung der Ergebnisse wird in diesem Beitrag berichtet.-----------------------------------------------------------------------------------------
In recent years a variety of non-destructive evaluation methods are more and more used for the inspection of constructions. Increasing the information value of inspections and the economic aspects of applications leads to a combination of methods on an automated system. Therefore, the BetoScan robot was developed. Gaining more experience in applications was realized with the inspection of a car park which was unused for several years. The building was made of reinforced concrete with melted asphalt as floor coating. Within the frame of the inspections eddy current, radar, ultrasound and microwaves were used. The application of the BetoScan system and the results are presented in this article.
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.