The highly irregular crack pattern of reinforced concrete has been studied primarily at the surface. The ability to extend image correlation into the interior of structures by using X-ray computed tomography (CT) opens up new possibilities for analyzing the internal mechanics of concrete. In order to enable a complete material characterization, it is necessary to study the crack geometry at the micro level in 3D images over time, i.e., 4D data. This paper presents the results of in situ CT tests that were carried out on carbon-reinforced concrete (CRC) beams subjected to bending load. The main objective of the tests was the experimental analysis of the evolution of individual cracks at different stages of their formation by applying digital volume correlation (DVC) to the 4D image data from the computed tomography. The results obtained from the CT were compared with other measurement techniques, such as distributed fiber optic sensing, clip gauges, and digital image correlation (DIC).

Ziel dieser Arbeit ist es eine Toolbox zur Charakterisierung der anomalen Diffusion von Tracerpartikeln in dicht gepackten Systemen mit Fluoreszenz-Korrelationsspektroskopie (FCS) zur Verfügung zu stellen. Es wird gezeigt, dass die robusten Informationen über die Wahrscheinlichkeitsdichtefunktion (PDF) der Verschiebung des Tracers im asymptotischen Verhalten der FCS-Kurven auf langen, sowie auf kurzen Zeitskalen enthalten sind. So liefert die Analyse des Kurzzeitverhaltens zuverlässige Aussagen über die Werte des Exponenten der anomalen Diffusion, des Diffusionskoeffizienten und der niedrigeren Momente der PDF. Dies erlaubt es eine Gaußverteilung zu bestätigen oder zu widerlegen. Der Test auf Gaußverteilung könnte als Index verwendet werden, um die richtige Form der PDF aus einer Reihe von konkurrierenden Ergebnissen zu erraten. Darüber hinaus untersuchen wir die Konsequenz der nicht skalierenden PDF auf Ergebnis der FCS-Kurven. Wir berechnen die FCS für ein Continuous Time Random Walk Modell mit Wartezeiten gemäß einer Lévy-stabilen Verteilung mit exponentiellem cut-off. Die Ergebnisse zeigen, dass obwohl die Abweichungen vom Gauß’schen Verhalten bei der asymptotischen Analyse erkannt werden können, ihre Körper immer an Formen für die normale Diffusion perfekt angepasst werden können. Schließlich schlagen wir einen alternativen Ansatz für die Durchführung von Spot Variation FCS mit dem gewöhnlichen FCS-Setup vor. Wir führen eine nicht-lineare Transformation ein, die auf das mit Binning oder Kernel smoothing method geglättete Intensitätsprofil der detektierten Fluoreszenzphotonen angewendet wird. Ihre Autokorrelation imitiert die FCS-Kurven für die Größen des Laserspots, die im Experiment effektiv kleiner als die anfängliche Größe sind. Die erhaltenen FCS-Kurven werden verwendet, um künstliche dicht gepackte Systeme sowie lebende Zellen auf Nano-Domänen oder Barrieren hin zu untersuchen. / The objective of this thesis is to provide a toolbox for characterization of anomalous diffusion of tracer particle in crowded systems using fluorescence correlation spectroscopy (FCS). We discuss that the robust information about the probability density function (PDF) of the particle’s displacement is contained in the asymptotic behaviour of the FCS curves at long and short times. Thus, analysis of the short-time behaviour provides reliable values of exponent of anomalous, diffusion coefficient and lower moments of the PDF. This allows one to to confirm or reject its Gaussian nature. The Gaussianity test could be then used to guess the correct form of the PDF from a set of competing models. We show the applicability of the proposed analysis protocol in artificially crowded systems and in living cell experiments. Furthermore, we investigate the consequence of non-scaling PDF on the possible results of the FCS data. As an example of such processes, we calculate the FCS curve for a continues time random walk model with waiting times delivered from Lévy-stable distribution with an exponential cut-off in equilibrium. The results indicate that, although the deviations from Gaussian behaviour may be detected when analyzing the short- and long-time asymptotic of the corresponding curves, their bodies are still perfectly fitted by the fit form used for normal diffusion. Finally, we propose an alternative approach for performing spot variation FCS using an ordinary FCS set-up. We introduce a non-linear transformation which applies on the smoothed intensity profile of the detected fluorescence photons with binning or smoothing kernel method. Autocorrelation of the generated intensity profiles mimic the FCS curves for the sizes of laser spots which are effectively smaller than the initial one in the experiment. The obtained FCS curves are used to investigate the presence of nano-domains or barriers in artificially crowded systems and in living cells.

Master of Science / Department of Statistics / Juan Du / Space and time are often vital components of research data sets. Accounting for and utilizing the space and time information in statistical models become beneficial when the response variable in question is proved to have a space and time dependence. This work focuses on the modeling and analysis of crop yield over space and time. Specifically, two different yield data sets were used. The first yield and environmental data set was collected across selected counties in Kansas from yield performance tests conducted for multiple years. The second yield data set was a survey data set collected by USDA across the US from 1900-2009. The objectives of our study were to investigate crop yield trends in space and time, quantify the variability in yield explained by genetics and space-time (environment) factors, and study how spatio-temporal information could be incorporated and also utilized in modeling and forecasting yield. Based on the format of these data sets, trend of irrigated and dryland crops was analyzed by employing time series statistical techniques. Some traditional linear regressions and smoothing techniques are first used to obtain the yield function. These models were then improved by incorporating time and space information either as explanatory variables or as auto- or cross- correlations adjusted in the residual covariance structures. In addition, a multivariate time series modeling approach was conducted to demonstrate how the space and time correlation information can be utilized to model and forecast yield and related variables. The conclusion from this research clearly emphasizes the importance of space and time components of data sets in research analysis. That is partly because they can often adjust (make up) for those underlying variables and factor effects that are not measured or not well understood.

Call number: LD2668 .T4 1952 P35 / Master of Science

Call number: LD2668 .T4 1986 B57 / Master of Science / Geology

Doctor of Philosophy / Department of Chemistry / Daniel A. Higgins / The preparation of mesoporous/macroporous silica materials and polarity gradient thin film are introduced in this thesis. These porous silica materials and gradient materials have the potential applications as stationary phases for chemical separations, as materials for combinatorial catalysis and as absorbent/adsorbent layers for use in chemical or biological sensors. Single molecule spectroscopy is used to probe the chemical interaction between single dye molecule and porous silica matrix. Bulk fluorescence spectroscopy is used to investigate the properties of gradient film. In Chapter one, the applications of single molecule spectroscopic methods to sol-gel silica materials are reviewed, which covers a subset of the recent literature in this area and provided salient examples of the new information that can be obtained by single molecule studies. In Chapter two, both the sample preparation and experiment setup are covered. In Chapter three, the preparation of mesoporous silica film is presented. Single molecule spectroscopy is used to probe the mass transport and molecule-matrix interactions in mesoporous thin-film systems. Three different dyes of varying size, charge, and hydrophilicity are used. Silica films with/without surfactant or containing different kind surfactant are studied. The results provide new information on mass transport through the films, evidence of reversible surface adsorption, and quantitative information on variations in these phenomena with film hydration. In Chapter four, a new model describing how to explore the actual dye concentration in single molecule experiment with considering the molecule orientation is presented, which is verified to be correct by both experimental and simulated data. In Chapter five, the growth process of Methylsilsesquioxane (MSQ) particle is studied by single molecule spectroscopy, in which, the MSQ particle is treated as “native” dye molecule. In Chapter six, silica films incorporating polarity gradients are produced by using “infusion-withdrawal dip-coating” method. The gradient film is characterized by bulk fluorescence spectroscopy, water contact angle and FTIR. In Chapter seven, a brief conclusion is drawn and future directions are presented.

To achieve high thermal efficiency in modern gas turbines, the turbine-inlet temperature has to be increased. In response to such requisites and to prevent thermal failure of the components exposed to hot gas streams, the use of different cooling techniques, including film cooling, is essential. Finding an optimum film cooling design has become a challenge as it is influenced by a large number of flow and geometrical parameters. This study is dedicated to some important aspects of film cooling of a turbine guide vane and consists of three parts. The first part is associated with an experimental investigation of the suction and pressure side cooling by means of a transient IR-Thermography technique under engine representative conditions. It is shown that the overall film cooling performance of the suction side can be improved by adding showerhead cooling if fan-shaped holes are used, while cylindrical holes may not necessarily benefit from a showerhead. According to the findings, investigation of an optimum cooling design for the suction side is not only a function of hole shape, blowing ratio, state of approaching flow, etc., but is also highly dependent on the presence/absence of showerhead cooling as well as the number of cooling rows. In this regard, it is also discussed that the combined effect of the adiabatic film effectiveness (AFE) and the heat transfer coefficient (HTC) should be considered in such study. As for the pressure side cooling, it is found that either the showerhead or a single row of cylindrical cooling holes can enhance the HTC substantially, whereas a combination of the two or using fan-shaped holes indicates considerably lower HTC. An important conclusion is that adding more than one cooling row will not augment the HTC and will even decrease it under certain circumstances. In the second part, computational fluid dynamics (CFD) investigations have shown that film cooling holes subjected to higher flow acceleration will maintain a higher level of AFE. Although this was found to be valid for both suction and pressure side, due to an overall lower acceleration for the pressure side, a lower AFE was achieved. Moreover, the CFD results indicate that fan-shaped holes with low area ratio (dictated by design constraints for medium-size gas turbines), suffer from cooling jet separation and hence reduction in AFE for blowing ratios above unity. Verification of these conclusions by experiments suggests that CFD can be used more extensively, e.g. for parametric studies. The last part deals with method development for deriving correlations based on experimental data to support engineers in the design stage. The proposed method and the ultimate correlation model could successfully correlate the laterally averaged AFE to the downstream distance, the blowing ratio and the local pressure coefficient representing the effect of approaching flow. The applicability of the method has been examined and the high level of predictability of the final model demonstrates its suitability to be used for design purposes in the future. / Turbo Power Program

ITC/USA 2006 Conference Proceedings / The Forty-Second Annual International Telemetering Conference and Technical Exhibition / October 23-26, 2006 / Town and Country Resort & Convention Center, San Diego, California / As the rates and numbers of serial telemetry data streams increase, the cost of timely, efficient and robust distribution of those streams increases faster. Without alternatives to traditional pointto- point serial distribution, the complexity of the infrastructure will soon overwhelm potential benefits of the increased stream counts and rates. Utilization of multiplexing algorithms in Field- Programmable Gate Arrays (FPGA), coupled with universally available Internet Protocol (IP) switching technology, provides a low-latency, time-data correlated multi-stream distribution solution. This implementation has yielded zero error IP transport and regeneration of multiple serial streams, maintaining stream to stream skew of less than 10 nsec, with end-to-end latency contribution of less than 15 msec. Adoption of this technique as a drop-in solution can greatly reduce the costs and complexities of maintaining pace with the changing serial telemetry community.

Geotechnicans in Sweden and rest of Scandinavia have a wide experience of stability calculations in cohesive soils. The two main parameters for this type of calculations are the undrained shear strength and the preconsolidation pressure. The most common methods in Sweden to determine the undrained shear strength in field is the vane shear strength test and CPT-test, in laboratories the fall cone test is well used. To determine the preconsolidation pressure CRS-analyses are well used. For more accurate measurements the odeometer tests are more suitable. However this method is both expensive and time-consuming form of analysis from a commercial aspect. Therefore is different correlation equations used as a compliment in these different stability evaluations.  This research will focus on the empirical Hansbo Correlation and its relation to results from commercial surveys. The commercial data come from Atkins Sverige’s project data base. The results after comparing Hansbo correlation with the commercial data showed on a significant divergence, which indicate a great unsureness of the Hansbo correlation. As a result of this contingency it is of importance to take cautiousness in the use of empirical correlations in stability calculations.

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