Seismic performance of rooftop cooling towers in buildings

Negli ultimi anni la ricerca ha fatto grandi passi avanti riguardo ai metodi di progetto e realizzazione delle strutture portanti degli edifici, a tal punto da renderle fortemente sicure sotto tutti i punti di vista. La nuova frontiera della ricerca sta quindi virando su aspetti che non erano mai stati in primo piano finora: gli elementi non-strutturali. Considerati fino ad oggi semplicemente carico accessorio, ci si rende sempre più conto della loro capacità di influire sui comportamenti delle strutture e sulla sicurezza di chi le occupa. Da qui nasce l’esigenza di questo grande progetto chiamato BNCs (Building Non-structural Component System), ideato dall’Università della California - San Diego e sponsorizzato dalle maggiori industrie impegnate nel campo delle costruzioni. Questo progetto, a cui ho preso parte, ha effettuato test su tavola vibrante di un edificio di cinque piani in scala reale, completamente arredato ed allestito dei più svariati elementi non-strutturali. Lo scopo della tesi in questione, ovviamente, riguarda l’identificazione strutturale e la verifica della sicurezza di uno di questi elementi non-strutturali: precisamente la torre di raffreddamento posta sul tetto dell’edificio (del peso di circa 3 tonnellate). Partendo da una verifica delle regole e calcoli di progetto, si è passato ad una fase di test sismici ed ispezioni post-test della torre stessa, infine tramite l’analisi dei dati raccolti durante i test e si è arrivati alla stesura di conclusioni.

Study of the mechanisms of shear transfer in fiber-reinforced concrete elements

matlab functions for the validation of push-off tests results

Influence of advanced load simulation models on fatigue design of jackets for offshore wind turbines.

Constant developments in the field of offshore wind energy have increased the range of water depths at which wind farms are planned to be installed. Therefore, in addition to monopile support structures suitable in shallow waters (up to 30 m), different types of support structures, able to withstand severe sea conditions at the greater water depths, have been developed. For water depths above 30 m, the jacket is one of the preferred support types. Jacket represents a lightweight support structure, which, in combination with complex nature of environmental loads, is prone to highly dynamic behavior. As a consequence, high stresses with great variability in time can be observed in all structural members. The highest concentration of stresses occurs in joints due to their nature (structural discontinuities) and due to the existence of notches along the welds present in the joints. This makes them the weakest elements of the jacket in terms of fatigue. In the numerical modeling of jackets for offshore wind turbines, a reduction of local stresses at the chord-brace joints, and consequently an optimization of the model, can be achieved by implementing joint flexibility in the chord-brace joints. Therefore, in this work, the influence of joint flexibility on the fatigue damage in chord-brace joints of a numerical jacket model, subjected to advanced load simulations, is studied.

Computing primal solutions with exact arithmetics in SCIP.

The research for exact solutions of mixed integer problems is an active topic in the scientific community. State-of-the-art MIP solvers exploit a floating- point numerical representation, therefore introducing small approximations. Although such MIP solvers yield reliable results for the majority of problems, there are cases in which a higher accuracy is required. Indeed, it is known that for some applications floating-point solvers provide falsely feasible solutions, i.e. solutions marked as feasible because of approximations that would not pass a check with exact arithmetic and cannot be practically implemented. The framework of the current dissertation is SCIP, a mixed integer programs solver mainly developed at Zuse Institute Berlin. In the same site we considered a new approach for exactly solving MIPs. Specifically, we developed a constraint handler to plug into SCIP, with the aim to analyze the accuracy of provided floating-point solutions and compute exact primal solutions starting from floating-point ones. We conducted a few computational experiments to test the exact primal constraint handler through the adoption of two main settings. Analysis mode allowed to collect statistics about current SCIP solutions' reliability. Our results confirm that floating-point solutions are accurate enough with respect to many instances. However, our analysis highlighted the presence of numerical errors of variable entity. By using the enforce mode, our constraint handler is able to suggest exact solutions starting from the integer part of a floating-point solution. With the latter setting, results show a general improvement of the quality of provided final solutions, without a significant loss of performances.

Experimental characterization and modelling of a servo-pneumatic system for a knee loading apparatus

The new knee test rig developed in University of Bologna used pneumatic cylinder as actuator system. Specific characterization and modelling about the pneumatic cylinder and the related devices are needed in better controlling the test rig. In this thesis, an experimental environment for the related device is set up with data acquisition system using Real-time Windows Target, Simulink, MatLab. Based on the experimental data, a fitted model for the pneumatic cylinder friction is found.

Fault diagnosis of an automotive suspension system

With the development of the embedded application and driving assistance systems, it becomes relevant to develop parallel mechanisms in order to check and to diagnose these new systems. In this thesis we focus our research on one of this type of parallel mechanisms and analytical redundancy for fault diagnosis of an automotive suspension system. We have considered a quarter model car passive suspension model and used a parameter estimation, ARX model, method to detect the fault happening in the damper and spring of system. Moreover, afterward we have deployed a neural network classifier to isolate the faults and identifies where the fault is happening. Then in this regard, the safety measurements and redundancies can take into the effect to prevent failure in the system. It is shown that The ARX estimator could quickly detect the fault online using the vertical acceleration and displacement sensor data which are common sensors in nowadays vehicles. Hence, the clear divergence is the ARX response make it easy to deploy a threshold to give alarm to the intelligent system of vehicle and the neural classifier can quickly show the place of fault occurrence.

Characteristic pressure distribution in outlet works inlets /

"September 1969."

Mission Operations and Data Systems Directorate.

Cover title.

The Combined Release and Radiation Effects Satellite Program, CRRES : a unique series of scientific experiments.

Mode of access: Internet.