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Organisationseinheit der BAM
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In this study, nanoscopic particles of magnesium Fluoride (MgF2) and calcium fluoride (CaF2) also known as nano metal fluorides (NMFs), were evaluated for their potential to improve wood durability. Even though these fluorides are sparingly soluble, their synthesis in the form of nano-sized particles turns them into promising candidates for wood preservation. Their distinct property of low-water solubility is proposed to maintain long-lasting protection of treated wood by reducing the leaching of fluoride. Analytical methods were used to characterize the synthesized NMFs and their distribution in treated wood specimens. Transmission electron microscopy images showed that these fluoride particles are smaller than 10 nm. In nano metal fluoride (NMF) treated specimens, aggregates of these particles are uniformly distributed in the wood matrix as confirmed with scanning electron microscopy images and their corresponding energy-dispersive X-ray spectroscopy maps. The fluoride aggregates form a protective layer around the tracheid walls and block the bordered pits, thus reducing the possible flow path for water absorption into wood. This is reflected in the reduced swelling and increased hydrophobicity of wood treated with NMFs. The biocidal efficacy of NMFs was tested against brown-rot fungi (Coniophora puteanaand Rhodonia placenta), white-rot fungus (Trametes versicolor), and termites (Coptotermes formosanus). The fungal and termite tests were performed in accordance with the EN 113 (1996) and EN 117 (2012) standards, respectively. Prior to fungal tests, the NMF treated wood specimens were leached according to the EN 84 (1997)standard. Compared to untreated specimens, the NMF treated wood specimens have a higher resistance to decay caused by brown-rot fungi, white-rot fungus, and termites. Although all NMF treatments in wood reduce the mass loss caused by fungal decay, only the combined treatment of MgF2 and CaF2 has efficacy against both brown-rot fungi and white-rot fungus. Similarly, wood treated with the combined NMF formulation is the least susceptible to attack by C. formosanus.It is proposed that combining MgF2 and CaF2changes their overall solubility to promote the release of fluoride ions at the optimal concentration needed for biocidal efficacy against fungi and termites. In this thesis, it was proven that even after leaching, sufficient fluoride was present to protect NMF treated wood from fungal decay. This shows that NMFs are robust enough for above ground contact outdoor applications of wood, where permanent wetness cannot be avoided according to Use Class 3.2, as per the EN 335 (2013) standard. Also, they pose a low risk to human health and the environment because they are sparingly soluble. Since NMFs significantly reduce the decay of wood, the CO2 fixed in it will be retained for longer than in unpreserved wood. Overall, the novel results of this study show the potential of NMFs to increase the service life of building materials made from non-durable wood.
This thesis addresses the development of a methodological approach for the non-invasive identification of colourants and for the classification of binding media in reverse glass paintings from the early 20th century. For this purpose, mobile and miniaturized devices were used to measure the paintings in situ. The methodology includes X-ray fluorescence (XRF), VIS spectroscopy (VIS), Raman spectroscopy and diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS). In a first step the capabilities of DRIFTS for binding media classification and pigment identification were tested.
DRIFTS enables, besides Raman spectroscopy, the collection of molecular information of a substance that can be used as characteristic fingerprint spectrum. However, the simultaneous collection of both specular (surface) and diffuse (volume) reflection leads to complicated mixed DRIFT spectra, that can vary strongly for one substance depending on the dominant fraction of reflected light. Specular reflection causes several spectral distortions like inverted bands, band shifts and derivative-like features whereas pure diffuse reflections leads to an intensity enhancement of combination bands and overtones. Both specular and diffuse reflection cannot be optically separated, and their proportion depends on material properties like the absorption coefficient and the refractive index as well as on Parameters like surface roughness, porosity, grain size and angle of incidence and detection. A direct comparison of DRIFT spectra with IR spectra of other methods (e.g. transmission, ATR) is not possible, hence the creation of DRIFTS databases was needed. The next step was the complimentary utilization of Raman spectroscopy and DRIFTS for the dentification of synthetic organic colourants. Such colourants are in the further chapters called synthetic organic pigments (SOP) even when it’s not always entirely clear if they are soluble dyes or pigments that are practically insoluble in the medium in which they are incorporated. Raman spectroscopy is generally the method of choice when dealing with SOP, but fluorescence can hamper the Raman spectrum severely, inhibiting the proper identification of the pigment.
DRIFTS was successfully applied and several SOP like synthetic alizarin (PR83), the yellow azo pigments (e.g. PY1) or the red and orange β-naphthol pigments (e.g. PR3) could be identified in the paintings solely by means of DRIFTS. The holistic methodological sequence was defined after the successful establishment of DRIFTS as serious analytical alternative. As the time is always the most limiting factor for in situ measurement campaigns in museums, the 9
sequence needs to be time saving but also efficient. The methodology starts with quick measurements by XRF and VIS to get a first idea of the pigment composition, followed by the validation of the results with the vibrational spectroscopies for selected points.
Measurements of reverse glass paintings by Carlo Mense and Wassily Kandinsky were conducted to test the entire procedure. A high number of pigments could be identified, including several rare ones like strontium white (SrSO4), PR60 and PB52. The binding media were classified using the previously recorded references. The results were set in the art historian context and were discussed in a multidisciplinary way. The influence of Asian art, especially of Chinese reverse glass paintings as source of inspiration for artists of the “Blauer Reiter” collective (e.g. Wassily Kandinsky, Gabriele Münter, Franz Marc und Heinrich Campendonk) is shown. Non-invasive measurements of two Chinese reverse glass paintings from the late 19th and early 20th century were conducted, enabling a comparison of the palettes of Chinese and European painters. The Chinese palette includes heavy use of red lead and orpiment, pigments that were hardly sed in Europe anymore. More modern pigments like zinc white, cadmium yellow, viridian, chromates, cobalt blues or SOP were not found at all in the Chinese paintings.
For almost 150 years it is known that hydrogen has a deleterious effect on the mechanical properties of metallic components. Nowadays, the problem of hydrogen assisted degradation is highly relevant in energy related fields due to the massive use of steel as a structural component in these applications and its sensitivity to hydrogen. Since the discovery of hydrogen assisted cracking (HAC), researchers studied intensively and suggested possible explanations and mechanisms in order to define how hydrogen is affecting the material. In general, it is considered that hydrogen changes the mechanical properties more in terms of ductility (deformation capacities) than in strength (load capacities). Hydrogen concentration is one of three crucial factors in the degradation process, together with the microstructure of the material and the internal/external mechanical load. The relatively high concentration of hydrogen resulting in this loss of ductility can originate during production or before service (e.g. welding processes) and during service (i.e. catholically protected systems to eliminate corrosion processes in sour environments).
In parallel to the theoretical work, tremendous efforts were, and are still, invested in searching for a proper method to elucidate, map and quantify the hydrogen in the microstructure, which is the basis for this work. For steels, the focus is mainly on the observations of diffusion processes and the interaction of hydrogen with the microstructure
in regions with high local stresses/strains (for example around evolving cracks). The challenge for reaching this goal arises from the fact that accurate indication of hydrogen by means of position, unlike heavier atoms, can be made only by mass spectrometry or by interaction with another element (e.g. silver decoration, special coating and resonant nuclear reaction by nitrogen). In addition to this, the difficulty recording the hydrogen behavior while it rapidly diffuses through the material, leaving only the unpredicted failure, should be taken into account.
Although using powerful characterization methods, models and computational simulations, the key to defining the mechanisms behind HAC is still under debate and not fully understood. The relationship between material and hydrogen is determined by three factors, i.e., the material structure and microstructure – determining the physical properties, the mechanical load applied on the material and the hydrogen concentration. It is well known that in order to have a complete definition of HAC these three factors must be examined locally with the minimal scale and the maximal resolution reachable. The major gap is the lack in such a characterization method or a technique by which one has the ability to detect and observe the hydrogen in the metallic microstructure. The commonly used techniques nowadays are capable of characterization of the microstructure without the ability to observe the hydrogen distribution. Global hydrogen concentration and localized hydrogen observation are possible by some techniques which are incapable of indicating a change in the structure or microstructure therefore a comprehensive overview can be gained only by combining several methods.
In the presented research, secondary ion mass spectrometry (SIMS) was adopted as the main tool to detect and locally map the hydrogen distribution in two types of duplex stainless steel grades: EN 1.4462 (standard 2205 duplex stainless steel) and EN 1.4162 (2101 lean duplex stainless steel). The term duplex stainless steel (DSS) refers to the austenitic-ferritic microstructure of the steel where the combination of physical and mechanical properties of the two phases is achieved. The DSS was selected as a case study for this work due to the wide use of this grade in many energy and the lack of knowledge on hydrogen behavior in two-phase containing microstructures. ToFSIMS was exploited in-situ and ex-situ in three experimental approaches during or following
an electrochemical charging procedure. This type of hydrogen charging was selected as it simulated a procedure of cathodic protection of most sub-water oil and gas extraction and delivery systems. The experimental procedures were:
1. Ex-situ charging followed by ToF-SIMS imaging for basic understanding of hydrogen distribution.
2. Ex-situ charging followed by in-situ mechanical loading to obtain information on hydrogen behavior around a propagating crack.
3. In-situ permeation of hydrogen through a steel membrane inside the ToF-SIMS to obtain information on diffusion behavior of hydrogen in a two-phase microstructure.
The comprehensive view of the effect of hydrogen on steel was gained by using supplementary methods, such as high resolution scanning electron microscopy (HR-SEM), focused ion beam (FIB) and electron back-scattered diffraction (EBSD). The state of the art in this work lies in applying both: in-situ experimental approaches and data treatment of the ToF-SIMS raw data. The data treatment includes the combination of data from several sources (data fusion).
The results for the ex-situ charging followed by static sample imaging and data fusion showed that when the analyzed surface is directly exposed to the electrolyte the degradation is pronounced differently in the ferrite, austenite and interface. The degradation mechanisms in the ferrite and austenite were reflected by the formation of cracks on the surface of both, where a high concentration of hydrogen was obtained. This result supports the assumption that hydrogen is attracted to highly deformed regions. The advantage of using in-situ charging/permeation in comparison to ex-situ charging is that the effect of hydrogen on the ferrite and austenite phases when the hydrogen is evolving from within the microstructure is realized, in comparison to when the analyzed surface is initially exposed directly to the electrolyte. In both experiments the ferrite was observed as a fast diffusion path for the hydrogen. The faster diffusion of hydrogen through the ferrite is expected due to the higher diffusion coefficient, however, a direct proof for the diffusion sequence in this scale was never shown. Most significant results were achieved by the ‘core’ experiments of this research. These experiments included the design of a novel dynamic mechanical loading device to apply an external load during SIMS imaging of a hydrogen precharged-notched sample. For the first time it was shown that plastic deformation induced by applying a mechanical load is resulting in a redistribution of hydrogen locally around the notch.
Gegenwärtig ist das Interesse und der Bedarf von Proteinbindern insbesondere in der Biotechnik und Pharmaforschung sehr groß. Kombinatorische, Partikel-basierte (One-Bead-One-Compound) Peptidbibliotheken sind eine Technik, um selektiv bindende Proteine zu identifizieren. Allerdings beinhaltet das Screening dieser Peptidbibliotheken aufwendige Schritte, wie die Separation, Sequenzierung und Charakterisierung von identifizierten Bindern. In dieser Arbeit wurde ein Chip-System entwickelt, auf dem alle Schritte eines Screenings durchgeführt werden können. Dafür wurde ein Glasobjektträger mit einem magnetisch leitenden, doppelseitigen Klebeband versehen. Die Partikel der Bibliothek wurden durch ein Sieb aufgetragen. Dies führte zu einer geordneten Immobilisierung der Partikel auf dem Chip. Über 30.000 Partikel konnten so auf einem Chip immobilisiert werden. Für die Identifizierung von selektiven Protein-bindenden Peptiden wird die immobilisierte Peptidbibliothek mit einem Fluorophor-markierten Protein inkubiert, bindende Partikel mittels Fluoreszenzscan identifiziert und die Peptidsequenz direkt auf dem Chip mittels Matrix-Assisted-Laser-Desorption/Ionization-(MALDI)-Flugzeit-(TOF)-Massenspektroskopie (MS) bestimmt. Die Durchführung einer Abbruchsequenz-Methode erlaubt die eindeutige Bestimmung der Peptidsequenzen mit einer nahezu 100 % Genauigkeit. Die entwickelte Technologie wurde in einem FLAG-Peptid-Modell validiert. Bei dem Screening wurden neue anti-FLAG-Antikörper-bindende Peptide identifiziert. Anschließend wurden in einem Screening von ca. 30.000 Partikeln IgG-bindende Peptide mit mittleren mikromolaren Dissoziationskonstanten identifiziert. Für die Identifizierung stärkerer Binder wurde eine magnetische Anreicherung entwickelt, die dem Chip-Screening vorgeschaltet werden kann. Hiermit wurden aus ca. 1 Million gescreenter Partikel, Peptide mit Dissoziationskonstanten im niedrigen mikromolaren Bereich identifiziert.
Diese Arbeit beschäftigt sich mit den Eigenschaften der photonenzählenden und spektralauflösenden Detektortechnik und möglichen Anwendungsgebieten in der zerstörungsfreien Prüfung. Dabei wurden konventionelle und photonenzählende Detektortechniken hinsichtlich der Bildqualität und Anwendbarkeit bei unterschiedlichen Prüfaufgaben verglichen und untersucht, inwiefern sich die Energieschwellwertsetzung auf die erreichbare Bildqualität und eine Materialdiskriminierbarkeit bei verschiedenen radiographischen Verfahren auswirkt.
Anhand von Anwendungsbeispielen wurden diese Eigenschaften und deren Auswirkung auf das Messergebnis analysiert. Neben der Radiographie wurden auch dreidimensionale Verfahren wie CT und Laminographie berücksichtigt.
Als eine der wichtigsten Eigenschaften der photonenzählenden Detektortechnik wurden zunächst die Energieauflösung des photonenzählenden Detektors und die Homogenität der Energieantwort über größere Detektorbereiche bestimmt. Dabei stellte sich heraus, dass die Energieauflösung eines abgegrenzten Detektorbereichs ca. 32 % bei 60 keV beträgt und die Streuung in der Energieantwort der einzelnen Detektorbereiche ca. 12 % ausmacht, woraus sich eine Gesamtunsicherheit in der spektralen Detektorantwort von ca. 44 % ergibt. Die geringe Energieauflösung und das stark heterogene Verhalten der Detektorbereiche ergeben sich vor allem aus der Detektorelektronik, welche nur eine globale Energieschwellwertsetzung zulässt.
Trotz dieser Einschränkungen konnte demonstriert werden, dass auch konventionelle radiographische Verfahren, wie Radiographie oder CT, vom Einsatz der photonenzählenden Technik profitieren. So ist es mit dieser Technik möglich, bei sehr geringen Dosisleistungen (z.B. aufgrund der Durchstrahlung großer Wandstärken von dichten Materialien) noch sehr gute Bildqualitäten zu erreichen. Die hohe Dynamik und Kontrastempfindlichkeit dieser Technik begünstigen die Inspektion von Leichtbauwerkstoffen wie Faserverbunde, was anhand von Vergleichen mit herkömmlicher Detektortechnik und anderen ZfP-Verfahren gezeigt werden konnte. Daneben konnte durch den Einsatz der Energieschwellwertsetzung der Einfluss von nicht bildzeichnender Streustrahlung im Röntgenbild um bis zu 20 % reduziert werden. Die Auswirkungen von Aufhärtungseffekten in der CT konnten sogar um bis zu Faktor 1 000 (in der mittleren quadratischen Abweichung), im Vergleich zu herkömmlicher Detektortechnik, reduziert werden.
Der Einsatz von photonenzählender Detektortechnik mit Röntgenblitzröhren ist hingegen nicht sinnvoll, da aufgrund der hohen Photonendichte pro Puls und einer endlichen Totzeit des Detektors in der Größenordnung der Pulsbreite eines Blitzes nur ein geringes Signal detektiert werden kann.
Im Hinblick auf eine Materialdiskriminierbarkeit konnte demonstriert werden, dass im Fall einer Radiographie anhand der Energieschwellwertsetzung im Detektor eine materialstärkenunabhängige Diskriminierung zwischen zwei Materialien (hier: Al und Fe) erzielt werden kann. Unter Einsatz mehrerer Energiefenster und eines Verfahrens der explorativen und multivariaten Datenanalyse konnte eine materialaufgelöste CT eines Multi-Material-Phantoms erreicht werden, wobei die Schwächungskoeffizienten der enthaltenen Materialien im relevanten Energieberiech teilweise sehr dicht beieinander lagen.
Neben Radiographie und CT wurde auch die Möglichkeit einer materialaufgelösten Laminographie am Beispiel eines glasfaserverstärkten Rotorblatts untersucht. Anhand der Energieschwellwertsetzung war nicht nur eine eindeutige Trennung der Glasfasern von der Epoxidharzmatrix möglich, sondern auch eine signifikante Reduzierung der durch die Laminographie entstandenen Artefakte. Der damit verbundene Gewinn an Information führt zu einer verbesserten Aussagefähigkeit des Untersuchungsergebnisses, was letztendlich eine gesteigerte Betriebssicherheit zur Folge hat.
Even though we often do not knowingly recognize them, nanoparticles are present these days in most areas of our daily life, including food and its packaging, medicine, pharmaceuticals, cosmetics, pigments as well as electronic products, such as computer screens. The majority of these particles exhibits a core-shell morphology either intendedly or unintendedly. For the purpose of practicability, this core-shell nanoparticle (CSNP) morphology is often assumed to be ideal, namely a spherical core fully encapsulated by a shell of homogeneous thickness with a sharp interface between core and shell material. It is furthermore widely presumed that all nanoparticles in the sample possess the same shell thickness. As a matter of fact, most real CSNPs deviate in several ways from this ideal model with quite often severe impact on how efficiently they perform in a specific application.
The topic of this cumulative PhD thesis is the accurate characterization of the actual morphology of CSNPs by advanced X-ray analytical techniques, namely X-ray photoelectron spectroscopy (XPS) and scanning transmission X-ray microscopy (STXM). A special focus is on CSNPs which deviate from an ideal core-shell morphology. In the paper from 2019 nanoparticle shell thicknesses are extracted from the elastic-peak intensities in an XPS spectrum based on an ideal particle morphology. This happens for a series of CSNP samples comprising a poly(tetrafluoroethylene) (PTFE) core and either a poly(methyl methacrylate) (PMMA) or polystyrene (PS) shell. The same paper as well as the paper from 2020 demonstrate for the first time, that the analysis of the inelastic background in an XPS spectrum of CSNPs can identify and quantify the heterogeneity of the shell and the incomplete encapsulation of the core.
The result from an XPS experiment is always an average across a large nanoparticle ensemble. Deviations from an ideal morphology within a single particle of the sample cannot be assessed separately. As opposed to that, a spatial resolution of 35 nm enables STXM to visualize the interior of single CSNPs which exhibit a sufficient X-ray absorption contrast between core and shell material. In the paper from 2018 a STXM analysis is demonstrated based on the example of the PTFE-PS CSNP samples already mentioned in the previous paragraph.
In the publication from 2021 (Ca/Sr)F₂ core-shell like nanoparticle ensembles for the practical use in, among others, antireflective coatings are investigated. These nanoparticles do not possess a sharp interface between core and shell material, which is why a shell thickness determination as described in the second paragraph is inappropriate. Instead, in-depth profiles of the chemical composition are obtained by XPS experiments based on synchrotron radiation with variable X-ray photon energy to elucidate the internal morphology of the particles. Additionally, theoretical in-depth profiles of Ca and Sr XPS peak intensities are simulated, in order to facilitate the interpretation of the experiments. Thus, an enrichment of CaF₂ at the particle surface was determined, which could hardly have been assessed by any other analytical technique. Because this kind of non-destructive depth profiling by XPS is very demanding, more than usual effort is spent on gapless documentation of the experiments to ensure full reproducibility.
Due to the vast diversity of nanoparticles differing in material, composition and shape, a measurement procedure cannot unalteredly be transferred from one sample to another. Nevertheless, because the papers in this thesis present a greater depth of reporting on the experiments than comparable publications, they constitute an important guidance for other scientists on how to obtain meaningful information about CSNPs from surface analysis.
In X-ray computed tomography (XCT), an X-ray beam of intensity I0 is transmitted through an object and its attenuated intensity I is measured when it exits the object. The attenuation of the beam depends on the attenuation coefficients along its path. The attenuation coefficients provide information about the structure and composition of the object and can be determined through mathematical operations that are referred to as reconstruction. The standard reconstruction algorithms are based on the filtered backprojection (FBP) of the measured data. While these algorithms are fast and relatively simple, they do not always succeed in computing a precise reconstruction, especially from under-sampled data. Alternatively, an image or volume can be reconstructed by solving a system of linear equations. Typically, the system of equations is too large to be solved but its solution can be approximated by iterative methods, such as the Simultaneous Iterative Reconstruction Technique (SIRT) and the Conjugate Gradient Least Squares (CGLS). This dissertation focuses on the development of a novel iterative algorithm, the Direct Iterative Reconstruction of Computed Tomography Trajectories (DIRECTT). After its reconstruction principle is explained, its performance is assessed for real parallel- and cone-beam CT (including under-sampled) data and compared to that of other established algorithms. Finally, it is demonstrated how the shape of the measured object can be modelled into DIRECTT to achieve even better reconstruction results.
This thesis investigates ultrasonic guided waves (GW) in multi-layered plates with the focus on higher order modes. The aim is to develop techniques for hybrid structures such as of adhesive bonds and composite pressure vessels (COPV) which are widely used in automotive and aerospace industries and are still challenging to inspect non-destructively. To be able to analyse GW, numerical methods and precise material properties are required. For this purpose, an efficient semi-analytical approach, the Scaled Boundary Finite Element Method, is used. The material properties are inferred by a GW-based optimisation procedure and a sensitivity study is performed to demonstrate the influence of properties on GW. Then, an interesting feature, called mode repulsion, is investigated with respect to weak and strong adhesive bonds. The results show that the coupling between two layers influences the distance between coupled modes in a mode repulsion region, thus allowing for the characterisation of adhesive bonds. At next, wave-damage interaction is studied in the hybrid structure as of the COPV. Results show that the wave energy can be concentrated in a certain layer enabling damage localisation within different layers. Further investigations are carried out on the hybrid plate with an impact-induced damage. Two well-known wavenumber mapping techniques, which allow to quantify the damage in three dimensions, are implemented and their comparison is done for the first time.
Laser-based active thermography is a contactless non-destructive testing method to detect material defects by heating the object and measuring its temperature increase with an infrared camera. Systematic deviations from predicted behavior provide insight into the inner structure of the object. However, its resolution in resolving internal structures is limited due to the diffusive nature of heat diffusion. Thermographic super resolution (SR) methods aim to overcome this limitation by combining multiple thermographic measurements and mathematical optimization algorithms to improve the defect reconstruction.
Thermographic SR reconstruction methods involve measuring the temperature change in an object under test (OuT) heated with multiple different spatially structured illuminations. Subsequently, these measurements are inputted into a severely ill-posed and heavily regularized inverse problem, producing a sparse map of the OuT’s internal defect structure. Solving this inverse problem relies on limited priors, such as defect-sparsity, and iterative numerical minimization techniques. Previously mostly experimentally limited to one-dimensional regions of interest (ROIs), this thesis aims to extend the method to the reconstruction of two-dimensionalROIs with arbitrary defect distributions while maintaining reasonable experimental complexity. Ultimately, the goal of this thesis is to make the method suitable for a technology transfer to industrial applications by advancing its technology readiness level (TRL).
In order to achieve the aforementioned goal, this thesis discusses the numerical expansion of a thermographic SR reconstruction method and introduces two novel algorithms to invert the underlying inverse problem. Furthermore, a forward solution to the inverse problem in terms of the applied SR reconstruction model is set up. In conjunction with an additionally proposed algorithm for the automated determination of a set of (optimal) regularization parameters, both create the possibility to conduct analytical simulations to characterize the influence of the experimental parameters on the achievable reconstruction quality. On the experimental side, the method is upgraded to deal with two-dimensional ROIs, and multiple measurement campaigns are performed to validate the proposed inversion algorithms, forward solution and two exemplary analytical studies. For the experimental implementation of the method, the use of a laser-coupled DLP-projector is introduced, which allows projecting binary pixel
patterns that cover the whole ROI, reducing the number of necessary measurements per ROI significantly (up to 20x).
Finally, the achieved reconstruction of the internal defect structure of a purpose-made OuT is qualitatively and qualitatively benchmarked against well-established thermographic testing methods based on homogeneous illumination of the ROI. Here, the background-noise-free two-dimensional photothermal SR reconstruction results show to outclass all defect reconstructions by the considered reference methods.
Die Alterung bestehender Brückenbauwerke fällt mit dem sich verschlechternden Zustand und zunehmenden Anforderungen an die Bausubstanz zusammen, die eine Folge von steigenden Verkehrszahlen und der Zulassung des Schwerlastverkehrs sind. Der daraus erwachsende Bedarf an Beurteilungen von bestehenden Brücken ist national und international fortwährend groß. Die Grundlage für Nachrechnungen sind die über das System verfügbaren Informationen. Sowohl die rechnerische Zuverlässigkeit eines Tragwerks als auch die Validität der Ergebnisse hängen im Wesentlichen vom Zustand, also von der Qualität und der Relevanz dieser Informationen ab. Die gezielte Messung von gütebewerteten, relevanten Informationen kann die Urteilsfähigkeit des Beurteilenden über die Zuverlässigkeit eines Tragwerks signifikant steigern. Wünschenswert ist die Erhebung derartiger Informationen ohne signifikante Eingriffe in die Bausubstanz.
Das Ziel der vorliegenden Arbeit ist die Entwicklung und Erprobung einer Vorgehensweise für die probabilistische Beurteilung von bestehenden Bauwerken mit zerstörungsfrei gemessenen Daten und einer Methodik zum objektiven Nachweis der Eignung von zerstörungsfreien Messverfahren zur Anwendung im Zuge einer Nachrechnung. Herausgestellt wird die Eignung der im Guide to the Expression of Uncertainty in Measurement (GUM) publizierten Regeln zur Bewertung der Qualität der gemessenen Informationen, die später im statischen Nachweis verwendet werden sollen. Die Anforderungen an die Basisvariablen, d. h. an die Eingangsgrößen im probabilistischen Nachweis, werden aus den Vorschriften zur Zuverlässigkeitsanalyse mit dem probabilistischen Näherungsverfahren FORM, der First Order Reliability Method, abgeleitet. Darauf basiert die Entwicklung der Schnittstelle zwischen der Messtechnik und der Nachrechnung. Im Kern werden die messdatenbasierten Basisvariablen explizit als Zufallsgrößen bei der Zuverlässigkeitsanalyse berücksichtigt. Die entwickelte Vorgehensweise wird am Beispiel von zwei Spannbetonbrücken und vier Basisvariablen erprobt. In die Nachweise der Biege- und der Querkrafttragfähigkeit sowie in einen Nachweis der Dekompression fließen geometrische Messergebnisse ein, die mithilfe von Radar- und Ultraschallmessungen generiert werden. Ein wichtiger Bestandteil ist die Bildung von Modellen zur Auswertung der Messungen und zur Berechnung der Messergebnisse.
Es wird gezeigt, dass die Einbeziehung der zerstörungsfrei generierten Messergebnisse die Unsicherheit in den Berechnungsmodellen reduzieren und den Grad der Annäherung der Modelle
an die Realität steigern kann. Die Messergebnisse sind zuverlässig und vergleichbar. Umfassende Sensitivitätsanalysen geben Aufschluss über sinnvollerweise zu messende Bauwerksparameter, die einen maßgeblichen Einfluss auf die Tragwerkszuverlässigkeit ausüben. Auf diese Weise wird die Relevanz der Informationen ermittelt. Das Potential derartiger Analysen für die gezielte Planung und Beauftragung von Messungen sowie für die bedarfsgerechte Zuschärfung von initial unzureichenden Berechnungsmodellen erscheint groß. Die messdatenbasierten Modelle können darüber hinaus die Robustheit einer Tragwerksanalyse steigern. Die Berücksichtigung von Messergebnissen ist dann besonders nützlich, wenn zur Beurteilung erforderliche Informationen fehlen oder Zweifel an den verfügbaren Informationen aufgekommen sind. Im besten Fall resultiert daraus die Verlängerung von rechnerischen Restnutzungsdauern, die Steigerung der Verfügbarkeit der Infrastruktur, die Optimierung des Ressourcenverbrauchs und insgesamt eine realitätsnahe Bauwerksbewertung.