Caratterizzazione meccanica di calcestruzzi fibrorinforzati con fibre d'acciaio

L’utilizzo di materiali compositi come i calcestruzzi fibrorinforzati sta diventando sempre più frequente e diffuso. Tuttavia la scelta di nuovi materiali richiede una approfondita analisi delle loro caratteristiche e dei loro comportamenti. I vantaggi forniti dall’aggiunta di fibre d’acciaio ad un materiale fragile, quale il calcestruzzo, sono legati al miglioramento della duttilità e all'aumento di assorbimento di energia. L’aggiunta di fibre permette quindi di migliorare il comportamento strutturale del composito, dando vita ad un nuovo materiale capace di lavorare non solo a compressione ma anche in piccola parte a trazione, ma soprattutto caratterizzato da una discreta duttilità ed una buona capacità plastica. Questa tesi ha avuto come fine l’analisi delle caratteristiche di questi compositi cementizi fibrorinforzati. Partendo da prove sperimentali classiche quali prove di trazione e compressione, si è arrivati alla caratterizzazione di questi materiali avvalendosi di una campagna sperimentale basata sull’applicazione della norma UNI 11039/2003. L’obiettivo principale di questo lavoro consiste nell’analizzare e nel confrontare calcestruzzi rinforzati con fibre di due diverse lunghezze e in diversi dosaggi. Studiando questi calcestruzzi si è cercato di comprendere meglio questi materiali e trovare un riscontro pratico ai comportamenti descritti in teorie ormai diffuse e consolidate. La comparazione dei risultati dei test condotti ha permesso di mettere in luce differenze tra i materiali rinforzati con l’aggiunta di fibre corte rispetto a quelli con fibre lunghe, ma ha anche permesso di mostrare e sottolineare le analogie che caratterizzano questi materiali fibrorinforzati. Sono stati affrontati inoltre gli aspetti legati alle fasi della costituzione di questi materiali sia da un punto di vista teorico sia da un punto di vista pratico. Infine è stato sviluppato un modello analitico basato sulla definizione di specifici diagrammi tensione-deformazione; i risultati di questo modello sono quindi stati confrontati con i dati sperimentali ottenuti in laboratorio.

Design and optimization of turbo-expanders for organic rankine cycles

In a world focused on the need to produce energy for a growing population, while reducing atmospheric emissions of carbon dioxide, organic Rankine cycles represent a solution to fulfil this goal. This study focuses on the design and optimization of axial-flow turbines for organic Rankine cycles. From the turbine designer point of view, most of this fluids exhibit some peculiar characteristics, such as small enthalpy drop, low speed of sound, large expansion ratio. A computational model for the prediction of axial-flow turbine performance is developed and validated against experimental data. The model allows to calculate turbine performance within a range of accuracy of ±3%. The design procedure is coupled with an optimization process, performed using a genetic algorithm where the turbine total-to-static efficiency represents the objective function. The computational model is integrated in a wider analysis of thermodynamic cycle units, by providing the turbine optimal design. First, the calculation routine is applied in the context of the Draugen offshore platform, where three heat recovery systems are compared. The turbine performance is investigated for three competing bottoming cycles: organic Rankine cycle (operating cyclopentane), steam Rankine cycle and air bottoming cycle. Findings indicate the air turbine as the most efficient solution (total-to-static efficiency = 0.89), while the cyclopentane turbine results as the most flexible and compact technology (2.45 ton/MW and 0.63 m3/MW). Furthermore, the study shows that, for organic and steam Rankine cycles, the optimal design configurations for the expanders do not coincide with those of the thermodynamic cycles. This suggests the possibility to obtain a more accurate analysis by including the computational model in the simulations of the thermodynamic cycles. Afterwards, the performance analysis is carried out by comparing three organic fluids: cyclopentane, MDM and R245fa. Results suggest MDM as the most effective fluid from the turbine performance viewpoint (total-to-total efficiency = 0.89). On the other hand, cyclopentane guarantees a greater net power output of the organic Rankine cycle (P = 5.35 MW), while R245fa represents the most compact solution (1.63 ton/MW and 0.20 m3/MW). Finally, the influence of the composition of an isopentane/isobutane mixture on both the thermodynamic cycle performance and the expander isentropic efficiency is investigated. Findings show how the mixture composition affects the turbine efficiency and so the cycle performance. Moreover, the analysis demonstrates that the use of binary mixtures leads to an enhancement of the thermodynamic cycle performance.

Design and implementation of a testbed for data distribution management

Data Distribution Management (DDM) is a core part of High Level Architecture standard, as its goal is to optimize the resources used by simulation environments to exchange data. It has to filter and match the set of information generated during a simulation, so that each federate, that is a simulation entity, only receives the information it needs. It is important that this is done quickly and to the best in order to get better performances and avoiding the transmission of irrelevant data, otherwise network resources may saturate quickly. The main topic of this thesis is the implementation of a super partes DDM testbed. It evaluates the goodness of DDM approaches, of all kinds. In fact it supports both region and grid based approaches, and it may support other different methods still unknown too. It uses three factors to rank them: execution time, memory and distance from the optimal solution. A prearranged set of instances is already available, but we also allow the creation of instances with user-provided parameters. This is how this thesis is structured. We start introducing what DDM and HLA are and what do they do in details. Then in the first chapter we describe the state of the art, providing an overview of the most well known resolution approaches and the pseudocode of the most interesting ones. The third chapter describes how the testbed we implemented is structured. In the fourth chapter we expose and compare the results we got from the execution of four approaches we have implemented. The result of the work described in this thesis can be downloaded on sourceforge using the following link: https://sourceforge.net/projects/ddmtestbed/. It is licensed under the GNU General Public License version 3.0 (GPLv3).

Geometrical optimization of a short-stem hip implant for the reduction of proximal stress shielding (ottimizzazione geometrica di uno stelo corto di protesi d?anca per la riduzione della schermatura del carico prossimale)

Nowadays the number of hip joints arthroplasty operations continues to increase because the elderly population is growing. Moreover, the global life expectancy is increasing and people adopt a more active way of life. For this reasons, the demand of implant revision operations is becoming more frequent. The operation procedure includes the surgical removal of the old implant and its substitution with a new one. Every time a new implant is inserted, it generates an alteration in the internal femur strain distribution, jeopardizing the remodeling process with the possibility of bone tissue loss. This is of major concern, particularly in the proximal Gruen zones, which are considered critical for implant stability and longevity. Today, different implant designs exist in the market; however there is not a clear understanding of which are the best implant design parameters to achieve mechanical optimal conditions. The aim of the study is to investigate the stress shielding effect generated by different implant design parameters on proximal femur, evaluating which ranges of those parameters lead to the most physiological conditions.