In 1998, the Rome Statute established the International Criminal Court (ICC) to end impunity for violators of international human rights law. As the ICC is opening criminal investigations for the first time in its existence, it is important to determine the legitimacy of the young institution in order to understand its importance in international politics and international legal precedence. These first cases can be used to illustrate that while some fears might be misplaced, others are sadly realized. Especially through the criminal investigation processes in Darfur, the ICC has acted responsibly and has not violated its founding principles or Sudan's sovereignty. Conversely, ICC intervention in Uganda has created a political situation that pits the prospect of peace against the pursuit of justice. If the ICC is able to prove that it is responsible in its judicial processes, it will likely become a legitimized institution. An increased role by the international community in ICC affairs would also bring a level of comfort and transparency that has not yet been realized. Furthermore, as individual states begin to use diplomatic means to enforce the norms of international human rights, the court might be used infrequently, and only when it is critical in the pursuit of justice. Despite the difficulties. faced by the ICC, it has the potential to gain legitimacy and become a recognizable player on the international political scene.

<p>This thesis addresses the development and implementation of an experimental methodology for turbine rotors which enables experiments to be performed in the stationary frame. This method enables measurements with increased spatial resolution and reduced probe blockage effects while also reducing the cost and complexity of the experimental apparatus. Adding this experimental method to the turbine designer’s toolbox will enable more rapid design evaluation and iteration, resulting in faster and less expensive development cycles for new turbine designs. To demonstrate the viability of this new methodology it has been used to evaluate a family of high-lift, high-diffusion turbine geometries in a rainbow ring in the Big Rig for Aerothermal Stationary Turbine Analysis (BRASTA) facility at Purdue University.</p>

<p> Efficiency is an essential metric for assessing turbine performance. Modern turbines rely heavily on numerical computational fluid dynamic (CFD) tools for design improvement. With more compact turbines leading to lower aspect ratio airfoils, the influence of secondary flows is significant on performance. Secondary flows and detached flows, in general, remain a challenge for commercial CFD solvers; hence, there is a need for high fidelity experimental data to tune these solvers used by turbine designers. Efficiency measurements in engine-representative test rigs are challenging for multiple reasons; an inherent problem to any experiment is to remove the effects specific to the turbine rig. This problem is compounded by the narrow uncertainty band required, ideally less than 0.5% uncertainty, to detect the incremental improvements achieved by turbine designers.  Efficiency measurements carried out in engine-representative turbine rigs have traditionally relied upon strong assumptions, such as neglecting heat transfer effects. Furthermore, prior to this research there was no framework to compute uncertainty propagation that combines both inputs from experiments and computational tools. </p> <p>This dissertation presents a comprehensive methodology to obtain high-fidelity adiabatic efficiency data in engine-representative turbine facilities. This dissertation presents probabilistic sampling techniques to allow for uncertainty propagation. The effect of rig-specific effects such as heat transfer and gas properties, on efficiency is demonstrated. Sources of uncertainty are identified, and a framework is presented which divides the sources into bias and stochastic. The framework allows the combination of experimental and numerical uncertainty. The accuracy of temperature and aerodynamic pressure probes, used for efficiency determination, is quantified. Corrections for those effects are presented that rely on hybrid numerical and experimental methods. Uncertainty is propagated through these methods using numerical sampling. </p> <p>Finally, two test cases are presented, a stator vane in an annular cascade and a two-stage turbine in a rotating rig. The performance is analyzed using the methods and corrections developed. The uncertainty on the measured efficiency is similar to literature but the uncertainty framework allows an uncertainty estimate on the adiabatic efficiency. </p>