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Damage Identification of Structures through Vibration-Based Structural Monitoring Systems
Get PDFThe thesis has been carried out within the “SHAPE Project - Predicting Strength Changes in Bridges from Frequency Data Safety, Hazard, and Poly-harmonic Evaluation” (ERA-NET Plus Infravation Call 2014) which dealt with the structural assessment of existing bridges and laboratory structural reproductions through the use of vibration-based monitoring systems, for detecting changes in their natural frequencies and correlating them with the occurrence of damage.
The main purpose of this PhD dissertation has been the detection of the variation of the main natural frequencies as a consequence of a previous-established damage configuration provided on a structure.
Firstly, the effect of local damage on the modal feature has been discussed mainly concerning a steel frame and a composite steel-concrete bridge. Concerning the variation of the fundamental frequency of the small bridge, the increasing severity of two local damages has been investigated. Moreover, the comparison with a 3D FE model is even presented establishing a link between the dynamic properties and the damage features.
Then, moving towards a diffused damage pattern, four concrete beams and a small concrete deck were loaded achieving the yielding of the steel reinforcement. The stiffness deterioration in terms of frequency shifts has been reconsidered by collecting a large set of dynamic experiments on simply supported R.C. beams discussed in the literature. The comparison of the load-frequency curves suggested a significant agreement among all the experiments. Thus, in the framework of damage mechanics, the “breathing cracks” phenomenon has been discussed leading to an analytical formula able to explain the frequency decay observed experimentally.
Lastly, some dynamic investigations of two existing bridges and the corresponding FE Models are presented in Chapter 4. Moreover, concerning the bridge in Bologna, two prototypes of a network of accelerometers were installed and the data of a few months of monitoring have been discussed
Assessing the fit of unidimensional IRT models for binary data under model misspecification
Get PDFModel misspecification affects the classical test statistics used to assess the fit of the Item Response Theory (IRT) models. Robust tests have been derived under model misspecification, as the Generalized Lagrange Multiplier and Hausman tests, but their use has not been largely explored in the IRT framework. In the first part of the thesis, we introduce the Generalized Lagrange Multiplier test to detect differential item response functioning in IRT models for binary data under model misspecification. By means of a simulation study and a real data analysis, we compare its performance with the classical Lagrange Multiplier test, computed using the Hessian and the cross-product matrix, and the Generalized Jackknife Score test. The power of these tests is computed empirically and asymptotically. The misspecifications considered are local dependence among items and non-normal distribution of the latent variable. The results highlight that, under mild model misspecification, all tests have good performance while, under strong model misspecification, the performance of the tests deteriorates. None of the tests considered show an overall superior performance than the others. In the second part of the thesis, we extend the Generalized Hausman test to detect non-normality of the latent variable distribution. To build the test, we consider a seminonparametric-IRT model, that assumes a more flexible latent variable distribution. By means of a simulation study and two real applications, we compare the performance of the Generalized Hausman test with the M2 limited information goodness-of-fit test and the Likelihood-Ratio test. Additionally, the information criteria are computed. The Generalized Hausman test has a better performance than the Likelihood-Ratio test in terms of Type I error rates and the M2 test in terms of power. The performance of the Generalized Hausman test and the information criteria deteriorates when the sample size is small and with a few items
Evaluation of an intervention focusing on children to promote physical activity in the entire community: Feasibility, effectiveness and sustainability over time.
Get PDFRegular physical activity (PA) during childhood is associated with physical, mental, emotional and social health benefits. The constant practice of PA is considered one of the best buys available in public health. The World Health Organization (WHO) recommends to perform at least 60 minutes per day of moderate to vigorous PA for children and adolescents in order to obtain health benefits. However, globally, this level of PA is hardly achieved. Children and adolescent who do not reach the recommended levels of PA are defined as physically inactive and nowadays physical inactivity constitutes a new type of pandemic. For this reason, the WHO launched a global action plan addressing physical activity with a goal of reducing physical inactivity in children and youth. The plan also included recommendation to improve individual and community health and contribute to the social, cultural and economic development of all nations. Worldwide, children and adolescents spend a significant amount of time in school and for this reason the school represents a fundamental educational setting that can play a pivotal role increasing students’ PA. Opportunities to be physically active should not be considered purely in relation to when children attend physical education classes but also making physical activity available during the school day, such as physically active lessons, and multicomponent PA interventions. Since school-based PA interventions are quite numerous, the present thesis focused on interventions delivered during school hours and that integrate small doses of PA as part of routine instruction. This type of intervention is called “Active Breaks.” Active Breaks consists of brief 5–15 minutes sessions of PA led by teachers who introduce short bursts of PA into the academic lesson. In light of this the present thesis aims to evaluate the feasibility, efficacy and sustainability of an Active Breaks intervention targeting children to promote PA
Mitochondrial Inheritance, Mito-nuclear Coevolution, and Sex-associated Genes in Bivalve Molluscs: Transcriptomics and Molecular Evolution
Get PDFBivalvia represents an ancient taxon including around 25,000 living species that have adapted to a wide range of environmental conditions, and show a great diversity in body size, shell shapes, and anatomic structure. Bivalves are characterized by highly variable genome sizes and extremely high levels of heterozygosity, which obstacle complete and accurate genome assemblies and hinder further genomic studies. Moreover, some bivalve species presented a stable evolutionary exception to the strictly maternal inheritance of mitochondria, namely doubly uniparental inheritance (DUI), making these species a precious model to study mitochondrial biology. During my PhD, I focused on a DUI species, the Manila clam Ruditapes philippinarum, and my work was two-folded.
First, taking advantage of a newly assembled draft genome and a large RNA-seq dataset from different tissues of both sexes, I investigated 1) the role of gene expression and alternative splicing in tissue differentiation; 2) the relationship across tissue specificity, regulatory network connectivity, and sequence evolution; 3) sexual contrasting genetic markers potentially associated with sexual differentiation. The detailed information for this part is in Chapter 2. Second, using the same RNA-seq data, I investigated how nuclear oxidative phosphorylation (OXPHOS) genes coordinate with two divergent mitochondrial genomes in DUI species (mito-nuclear coordination and coevolution). To address this question, I compared transcription, polymorphism, and synonymous codon usage in the mitochondrial and nuclear OXPHOS genes of R. philippinarum in Chapter 3. To my knowledge, this thesis represents the first study exploring the role of alternative splicing in tissue differentiation, and the first study analyzing both transcriptional regulation and sequence evolution to investigate the coordination of OXPHOS genes in bivalves
Form and Critique of the Real in Siegfried Kracauer (1925-1937): Image, City, Modernity
Get PDFSiegfried Kracauer (1889-1966) fu di formazione ingegnere-architetto, giornalista. Egli fu un instancabile osservatore critico della superficie della realtà, convinto quale era che solo dall’osservazione dei fenomeni superficiali si potesse davvero intuire la realtà di un’epoca. L’obiettivo della tesi è cercare di cogliere il rapporto tra forma e critica della realtà attraverso saggi, articoli di giornale, recensioni di libri e film, biografie e autobiografie. All’interno di questo lavoro si sono isolate alcune immagini e opere che permettono, a nostro parere, di cogliere il senso della decifrazione della modernità in Kracauer. La luce come figura ambigua della fantasmagoria e della metropoli, il mito e la razionalizzazione capitalistica, la figura di Ginster, personaggio letterario chiaramente autobiografico incaricato di descrivere le tensioni nel passaggio dall’esperienza della prima guerra mondale al mondo moderno dell’improvvisazione e della perdita dei confini e, infine, Jacques Offenbach e l’operetta, incursione storica di Kracauer alla ricerca di una biografia sociale della città di Parigi come archeologia della modernità sviluppando un parallelo tra l’epoca del Secondo Impero di Napoleone III e l’avvento del nazismo. A ognuno di questi momenti è dedicato un capitolo che cerca di sviluppare continuità e discontinuità del pensiero di Kracauer nei confronti delle eredità filosofiche e metodologiche di György Lukács, Georg Simmel, Karl Marx. mL’attenzione è stata rivolta alle testimonianze dei rapporti e dei confronti, talora aspri, con i suoi colleghi e amici a partire da quelli complicati con Benjamin e Adorno che restituiscono un’immagine di un pensatore originale e complesso alla ricerca e, paradossalmente sulla soglia, di una via per pensare l’irruzione della cultura di massa e del potere assoggettante delle immagini.Siegfried Kracauer (1889-1966) was trained as an engineer-architect, a journalist, novelist, philosopher, sociologist and film historian, but above all he was a critical observer of the surface of reality, convinced as he was that only by observing superficial phenomena could one really grasp the reality of an era. The aim of the thesis is to try to grasp the relationship between form and critique of reality through essays, articles, book, biographies and autobiographies. Within this work, we have isolated certain images and works that, in our opinion, allow us to grasp the meaning of the decipherment of modernity in Kracauer. Light as an ambiguous figure of phantasmagoria and the metropolis, myth and capitalist rationalisation, the figure of Ginster, a clearly autobiographical literary character charged with describing the tensions in the transition from the experience of the First World War to the modern world of improvisation and loss of boundaries. Kracauer's historical incursion in search of a social biography of the city of Paris as an archaeology of modernity by developing a parallel between the era of Napoleon III's Second Empire and the advent of Nazism. A chapter is dedicated to each of these moments, attempting to develop continuities and discontinuities in Kracauer's thought in relation to the philosophical and methodological legacies of György Lukács, Georg Simmel and Karl Marx, showing how Kracauer was always 'out of focus', never aligned with any of these authors and always in search of that mosaic, that relationship between observation and construction of the real, which is the true stylistic hallmark of his gaze on modernity
Landslide susceptibility in the Belt and Road Initiative
Get PDFThe Belt and Road Initiative (BRI) is a project launched by the Chinese Government whose main goal is to connect more than 65 countries in Asia, Europe, Africa and Oceania developing infrastructures and facilities. To support the prevention or mitigation of landslide hazards, which may affect the mainland infrastructures of BRI, a landslide susceptibility analysis in the countries involved has been carried out.
Due to the large study area, the analysis has been carried out using a multi-scale approach which consists of mapping susceptibility firstly at continental scale, and then at national scale.
The study area selected for the continental assessment is the south-Asia, where a pixel-based landslide susceptibility map has been carried out using the Weight of Evidence method and validated by Receiving Operating Characteristic (ROC) curves. Then, we selected the regions of west Tajikistan and north-east India to be investigated at national scale.
Data scarcity is a common condition for many countries involved into the Initiative. Therefore in addition to the landslide susceptibility assessment of west Tajikistan, which has been conducted using a Generalized Additive Model and validated by ROC curves, we have examined, in the same study area, the effect of incomplete landslide dataset on the prediction capacity of statistical models.
The entire PhD research activity has been conducted using only open data and open-source software. In this context, to support the analysis of the last years an open-source plugin for QGIS has been implemented. The SZ-tool allows the user to make susceptibility assessments from the data preprocessing, susceptibility mapping, to the final classification.
All the output data of the analysis conducted are freely available and downloadable.
This text describes the research activity of the last three years. Each chapter reports the text of the articles published in international scientific journal during the PhD
Seismotectonic study on two strategic infrastructures in Southern Italy
Get PDFWith the entry into force of the latest Italian Building Code (NTC 2008, 2018), innovative criteria were provided, especially for what concerns the seismic verifications of large infrastructures. In particular, for buildings considered as strategic, such as large dams, a seismotectonic study of the site was declared necessary, which involves a re-assessment of the basic seismic hazard. This PhD project fits into this context, being part of the seismic re-evaluation process of large dams launched on a national scale following the O.P.C.M. 3274/2003, D.L. 79/2004. A full seismotectonic study in the region of two large earth dams in Southern Italy was carried out. We identified and characterized the structures that could generate earthquakes in our study area, together with the definition of the local seismic history. This information was used for the reassessment of the basic seismic hazard, using probabilistic seismic hazard assessment approaches. In recent years, fault-based models for the seismic hazard assessment have been proposed all over the world as a new emerging methodology. For this reason, we decided to test the innovative SHERIFS approach on our study area. The occasion of the seismotectonic study gave also the opportunity to focus on the characteristics of the seismic stations that provided the data for the study itself. In the context of the work presented here, we focused on the 10 stations that had been active for the longest time and we carried out a geophysical characterization, the data of which merged into a more general study on the soil-structure interaction at seismic stations and on the ways in which it could affect the SHA. Lastly, an additional experimental study on the two dams and their associated minor structures is also presented, aimed at defining their main dynamic parameters, useful for subsequent dynamic structural and geotechnical studies
Smart Farming in Italian agriculture: essays on adoption and diffusion dynamics shaping the agricultural digital transition
Get PDFSmart Farming Technologies (SFT) is a term used to define the set of digital technologies able not only to control and manage the farm system, but also to connect it to the many disruptive digital applications posed at multiple links along the value chain. The adoption of SFT has been so far limited, with significant differences at country-levels and among different types of farms and farmers. The objective of this thesis is to analyze what factors contributes to shape the agricultural digital transition and to assess its potential impacts in the Italian agri-food system. Specifically, this overall research objective is approached under three different perspectives. Firstly, we carry out a review of the literature that focuses on the determinants of adoption of farm-level Management Information Systems (MIS), namely the most adopted smart farming solutions in Italy. Secondly, we run an empirical analysis on what factors are currently shaping the adoption of SFT in Italy. In doing so, we focus on the multi-process and multi-faceted aspects of the adoption, by overcoming the one-off binary approach often used to study adoption decisions. Finally, we adopt a forward-looking perspective to investigate what the socio-ethical implications of a diffused use of SFT might be. On the one hand, our results indicate that bigger, more structured farms with higher levels of commercial integration along the agri-food supply chain are those more likely to be early adopters. On the other hand, they highlight the need for the institutional and organizational environment around farms to more effectively support farmers in the digital transition. Moreover, the role of several other actors and actions are discussed and analyzed, by highlighting the key role of specific agri-food stakeholders and ad-hoc policies, with the aim to propose a clearer path towards an efficient, fair and inclusive digitalization of the agrifood sector
Testing the effectiveness of phytoscreening to monitor shallow groundwater contamination by chlorinated ethenes
Get PDFThe research presented herein aims to investigate the strengths and weaknesses of a relatively new technique called phytoscreening. Parallel to the well-known phytoremediation, it consists of exploiting the absorbing potential of trees to delineate groundwater contamination plumes, especially for chlorinated ethenes (i.e., PCE, TCE, 1,2-cis DCE, and VC). The latter are prevalent contaminants in groundwater but their fate and transport in surface ecosystems, such as trees, are still poorly understood and subjected to high variability. Moreover, the analytical validity of tree-coring is still limited in many countries due to a lack of knowledge of its application opportunities. Tree-cores are extracted from trunks and generally analyzed by gas chromatography/mass spectrometry. A systematic review of former literature on phytoscreening for chlorinated ethenes is presented in this PhD thesis to evaluate the factors influencing the effectiveness of the technique. Besides, we tested the technique by probing eight sites contaminated by chlorinated ethenes in Italy (Emilia-Romagna) in different hydrogeological and seasonal settings. We coupled the technique with the assessment of gaseous-phase concentrations directly on-site, inserting detector tubes or a photoionization detector in the tree-holes left by the coring tool. Finally, we applied rank order statistic analysis on field data along with literature data to assess under which conditions phytoscreening should be applied to either screen or monitor environmental contamination issues. A relatively high correlation exists between tree-core and groundwater concentrations (Spearman’s ρ > 0.6), being higher for compounds with higher sorption, for sites with shallower and thinner aquifers, and when sampling specific tree types with standardized sampling and extraction protocols. These results indicate the opportunities for assessing the occurrence, type, and concentration of solvents directly from the stem of trees. This can reduce the costs of characterization surveys, allowing rapid identification of hotspots and plume direction and thus optimizing the drilling of boreholes
Continual learning for computer vision applications
Get PDFOne of the most visionary goals of Artificial Intelligence is to create a system able to mimic and eventually surpass the intelligence observed in biological systems including, ambitiously, the one observed in humans. The main distinctive strength of humans is their ability to build a deep understanding of the world by learning continuously and drawing from their experiences. This ability, which is found in various degrees in all intelligent biological beings, allows them to adapt and properly react to changes by incrementally expanding and refining their knowledge. Arguably, achieving this ability is one of the main goals of Artificial Intelligence and a cornerstone towards the creation of intelligent artificial agents.
Modern Deep Learning approaches allowed researchers and industries to achieve great advancements towards the resolution of many long-standing problems in areas like Computer Vision and Natural Language Processing. However, while this current age of renewed interest in AI allowed for the creation of extremely useful applications, a concerningly limited effort is being directed towards the design of systems able to learn continuously.
The biggest problem that hinders an AI system from learning incrementally is the catastrophic forgetting phenomenon. This phenomenon, which was discovered in the 90s, naturally occurs in Deep Learning architectures where classic learning paradigms are applied when learning incrementally from a stream of experiences.
This dissertation revolves around the Continual Learning field, a sub-field of Machine Learning research that has recently made a comeback following the renewed interest in Deep Learning approaches. This work will focus on a comprehensive view of continual learning by considering algorithmic, benchmarking, and applicative aspects of this field. This dissertation will also touch on community aspects such as the design and creation of research tools aimed at supporting Continual Learning research, and the theoretical and practical aspects concerning public competitions in this field