Probabilistic approaches in civil engineering: generation of random fields and structural identification with genetic algorithms

The inherent stochastic character of most of the physical quantities involved in engineering models has led to an always increasing interest for probabilistic analysis. Many approaches to stochastic analysis have been proposed. However, it is widely acknowledged that the only universal method available to solve accurately any kind of stochastic mechanics problem is Monte Carlo Simulation. One of the key parts in the implementation of this technique is the accurate and efficient generation of samples of the random processes and fields involved in the problem at hand. In the present thesis an original method for the simulation of homogeneous, multi-dimensional, multi-variate, non-Gaussian random fields is proposed. The algorithm has proved to be very accurate in matching both the target spectrum and the marginal probability. The computational efficiency and robustness are very good too, even when dealing with strongly non-Gaussian distributions. What is more, the resulting samples posses all the relevant, welldefined and desired properties of “translation fields”, including crossing rates and distributions of extremes. The topic of the second part of the thesis lies in the field of non-destructive parametric structural identification. Its objective is to evaluate the mechanical characteristics of constituent bars in existing truss structures, using static loads and strain measurements. In the cases of missing data and of damages that interest only a small portion of the bar, Genetic Algorithm have proved to be an effective tool to solve the problem.

L'eccezione è la regola: ricerca espolorativa sul fenomeno del commissariamento nel settore culturale italiano

Di fronte al moltiplicarsi di episodi di commissariamento nella pubblica amministrazione italiana e in particolare nel settore culturale, la presente ricerca mira a comprendere gli obiettivi, le modalità di intervento ed i risultati raggiunti mediante la nomina di commissari straordinari. Si tratta di un intervento anomalo ed inusuale a livello internazionale (la stessa voce commissariamento risulta intraducibile in inglese), dove la ricerca di possibili termini di paragone, effettuata passando in rassegna la letteratura di disaster management, quella sul riaccentramento amministrativo e quella sugli interventi di turnaround nel settore pubblico, restituisce un quadro estremamente specifico del fenomeno, per lo più interno ai confini nazionali. Nello studio, caratterizzato da un forte approccio esplorativo e phenomenon driven, vengono analizzati quattro casi di commissariamento nel settore culturale italiano: due aree archeologiche (quella di Napoli e Pompei e quella di Roma e Ostia) e due Fondazioni Liriche (Teatro Carlo Felice di Genova e Arena di Verona). Dalla ricerca emerge un quadro profondamente critico delle gestioni commissariali. Gli obiettivi ambigui e l’elevata discrezionalità concessa al commissario non sono accompagnati da un’adeguata trasparenza nei processi di nomina, proroga e sostituzione dei commissari, con la prevalenza di rapporti di tipo personale o ‘feudale’. Dal punto di vista dei risultati il commissariamento non incide sulla routine dell’amministrazione ordinaria, rappresentando nel migliore dei casi una parentesi temporanea di buona gestione, o, nel peggiore, perseguendo interventi non legittimi rispetto ai valori professionali che regolano le organizzazioni analizzate. Se considerato alla luce del più generale processo di riforma in senso manageriale che ha coinvolto le istituzioni analizzate dalla fine degli anni ’90, il commissariamento esalta ed intensifica gli aspetti maggiormente critici dell’approccio italiano al New Public Management, in termini di scarsa trasparenza e accountability, elevata influenza della politica nei processi decisionali e generale incoerenza dei disegni di riforma.

Metrologia dei campi di radiazioni di bassa energia

The conversion coefficients from air kerma to ICRU operational dose equivalent quantities for ENEA’s realization of the X-radiation qualities L10-L35 of the ISO “Low Air Kerma rate” series (L), N10-N40 of the ISO “Narrow spectrum” series (N) and H10-H60 of the ISO “High Air-kerma rate” (H) series and two beams at 5 kV and 7.5 kV were determined by utilising X-ray spectrum measurements. The pulse-height spectra were measured using a planar high-purity germanium spectrometer (HPGe) and unfolded to fluence spectra using a stripping procedure then validate with using Monte Carlo generated data of the spectrometer response. HPGe portable detector has a diameter of 8.5 mm and a thickness of 5 mm. The entrance window of the crystal is collimated by a 0.5 mm thick Aluminum ring to an open diameter of 6.5 mm. The crystal is mounted at a distance of 5 mm from the Berillium window (thickness 25.4 micron). The Monte Carlo method (MCNP-4C) was used to calculate the efficiency, escape and Compton curves of a planar high-purity germanium detector (HPGe) in the 5-60 keV energy. These curves were used for the determination of photon spectra produced by the X-ray machine SEIFERT ISOVOLT 160 kV in order to allow a precise characterization of photon beams in the low energy range, according to the ISO 4037. The detector was modelled with the MCNP computer code and validated with experimental data. To verify the measuring and the stripping procedure, the first and the second half-value layers and the air kerma rate were calculated from the counts spectra and compared with the values measured using an a free-air ionization chamber. For each radiation quality, the spectrum was characterized by the parameters given in ISO 4037-1. The conversion coefficients from the air kerma to the ICRU operational quantities Hp(10), Hp(0.07), H’(0.07) and H*(10) were calculated using monoenergetic conversion coefficients. The results are discussed with respect to ISO 4037-4, and compared with published results for low-energy X-ray spectra. The main motivation for this work was the lack of a treatment of the low photon energy region (from a few keV up to about 60 keV).

Computational strategies to include protein flexibility in Ligand Docking and Virtual Screening

The dynamic character of proteins strongly influences biomolecular recognition mechanisms. With the development of the main models of ligand recognition (lock-and-key, induced fit, conformational selection theories), the role of protein plasticity has become increasingly relevant. In particular, major structural changes concerning large deviations of protein backbones, and slight movements such as side chain rotations are now carefully considered in drug discovery and development. It is of great interest to identify multiple protein conformations as preliminary step in a screening campaign. Protein flexibility has been widely investigated, in terms of both local and global motions, in two diverse biological systems. On one side, Replica Exchange Molecular Dynamics has been exploited as enhanced sampling method to collect multiple conformations of Lactate Dehydrogenase A (LDHA), an emerging anticancer target. The aim of this project was the development of an Ensemble-based Virtual Screening protocol, in order to find novel potent inhibitors. On the other side, a preliminary study concerning the local flexibility of Opioid Receptors has been carried out through ALiBERO approach, an iterative method based on Elastic Network-Normal Mode Analysis and Monte Carlo sampling. Comparison of the Virtual Screening performances by using single or multiple conformations confirmed that the inclusion of protein flexibility in screening protocols has a positive effect on the probability to early recognize novel or known active compounds.