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We concentrate on appropriate algorithmic processing of microwave Ground Penetrating Radar (GPR) data obtained from concrete specimens containing tendon ducts below steel reinforcement bars either via simulations or via experiments. The goal is to understand the physical phenomena of electromagnetic wave propagation and scattering in detail in order to optimize imaging algorithms like SAFT (Synthetic Aperture Focusing Technique as the NDT version of SAR) in its 3D diffraction tomographic FT-SAFT formulation (Fourier-Transform-SAFT). Therefore we start with the simulation of a "simple" specimen and switch to a more realistic one in order to check whether simulation and experiment can give comparable results. Basically, this could be confirmed, but, nevertheless, various parametric studies will still have to be performed in the future.
Non-destructive testing (NDT) of concrete structures is performed using pulse-echo methods. According to the type of the applied waves it can be classified as acoustic (Impact-Echo, Ultrasonics) and electromagnetic methods (Radar). The results are visualised through different imaging processes. This work is performed in the frame of a research project promoted by Deutsche Forschungsgemeinschaft (FOR384).The objective of data fusion is to use the complementary information of the different methods. Radar can detect metallic reflectors in concrete (metallic ducts and concrete reinforcement) very well. This method is not able to locate defects behind these reflectors (injecting defects, defects behind close concrete reinforcement), because the electromagnetic waves are completely reflected at metals. The acoustic methods are able to compensate this deficit i.e. acoustic waves can penetrate through metal. But acoustic waves in the ultrasonic range are completely reflected by air layers. Air layers have smaller influence on radar propagation, so that both methods complement each other.In order to be able to combine the NDT-data from several methods records at the same volume, the different data setsmodes of signals must be adapted. The ultrasonic and radar data have to be reconstructed with programs based on the Synthetic Aperture Focusing Technique (SAFT) before data fusion. Subsequently, a conversion of the data into a uniform format has to be carried out. This is a prerequisite in order to keep the data exchange between the project partners as simple as possible. After the data sets are imported and transferred into a common reference system, they can be processed with operations according to the purpose of the investigation. Results, which have been achieved in concrete test specimen with radar and ultrasonics, will be presented and will show the feasibility of the data fusion method.
Stable isotope dilution assay for the accurate determination of mycotoxins in maize by UHPLC-MS/MS
(2012)
A fast, easy-to-handle and cost-effective analytical
method for 11 mycotoxins currently regulated in maize and
other cereal-based food products in Europe was developed
and validated for maize. The method is based on two extraction
steps using different acidified acetonitrilewater mixtures.
Separation is achieved using ultrahigh-performance
liquid chromatography (UHPLC) by a linear watermethanol
gradient. After electrospray ionisation, tandem mass spectrometric
detection is performed in dynamic multiple reaction
monitoring mode. Since accurate mass spectrometric quantification
is hampered by matrix effects, uniformly [13C]-
labelled mycotoxins for each of the 11 compounds were added
to the sample extracts prior to UHPLC-MS/MS analysis.
Method performance parameters were obtained by spiking
blank maize samples with mycotoxins before as well as after
extraction on six levels in triplicates. The twofold extraction
led to total recoveries of the extraction steps between 97%and
111% for all target analytes, including fumonisins. The [13C]-
labelled internal standards efficiently compensated all matrix
effects in electrospray ionisation, leading to apparent recoveries
between 88% and 105% with reasonable additional costs.
The relative standard deviations of the whole method were
between 4% and 11% for all analytes. The trueness of the
method was verified by the measurement of several maize test
materials with well-characterized concentrations. In conclusion,
the developed method is capable of determining all
regulated mycotoxins in maize and presuming similar
matrix effects and extraction recovery also in other cerealbased
foods.
Characterization of reflector types by phase-sensitive ultrasonic data processing and imaging
(2008)
Ultrasonic and radar imaging techniques are limited in resolution by the wavelength in the material, yet information beyond those limits is hidden in complex frequency dependent reflection coefficients. The analysis of the phase of complex reflection coefficients together with the properties of imaging algorithms can help to characterize and to classify indications of defects in concrete buildings. This paper describes a method to extract phase information from measurements and SAFT reconstructed images. The influencing factors like material properties, transducer characteristics, and imaging algorithms based on Born or Physical Optics approximations are elaborated. Simulated and experimental results are briefly discussed.