Browsing by Author "Conte, Enrico"

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Analisi sismica non lineare di edifici con struttura in C.A. base fissa ed isolata in presenza di fenomeni di martellamento interno ed esterno
(Università della Calabria, 2021-06-09) Labernarda, Rodolfo; Conte, Enrico; Mazza, Fabio
Analisi teorica/sperimentale di travi in calcestruzzo armato rinforzate con sistemi Steel-FRCM: caratterizzazione dei materiali/comportamento strutturale sotto carico monotono e ciclico/valutazione della deformazione di distacco intermedia
(Università della Calabria, 2021-06-25) Nisticò, Mattia; Conte, Enrico; Bencardino, Francesco
Il presente lavoro di tesi si propone di studiare il comportamento strutturale di travi di calcestruzzo armato (c.a.) in scala reale sottoposte a caricamento monotono e ciclico, rinforzate esternamente con sistema Steel-Fabric Reiforced Cementitious Matrix (S-FRCM). Le travi testate a flessione sono rinforzate con una tecnica tradizionale Externally Bonded (EB) e con una tecnica innovativa chiamata Inhibiting-Repairing-Strengthening (IRS) che prevede l’applicazione del sistema di rinforzo all’interno del ricoprimento di calcestruzzo con una opportuna matrice inorganica a base di polimeri di natura minerale, avente proprietà di inibizione dalla corrosione delle armature interne. I risultati sperimentali hanno evidenziato l’efficacia della tecnica IRS che, rispetto alla tecnica tradizionale EB, ha fatto registrare maggiori incrementi di carico ultimo e di fattore di duttilità. Inoltre, l’uso di una fibra di acciaio con scarsa capacità di impregnazione favorisce la modalità di collasso per debonding che ne riduce la capacità di rinforzo. Sono state, inoltre, condotte prove di adesione su provini di calcestruzzo e muratura allo scopo di indagare e comprendere il comportamento di interfaccia dei sistemi S-FRCM al variare della tipologia di fibra di acciaio e matrice di applicazione. Il distacco all'interfaccia fibra-matrice e fibra-supporto (senza asportazione della superficie di applicazione) sono le principali modalità di rottura osservate, oltre alla rottura per trazione della fibra. Dai risultati ottenuti sono state calibrate leggi coesive di interfaccia per le applicazioni dei sistemi di rinforzo su elementi di calcestruzzo da utilizzare nelle analisi teoriche. I risultati sperimentali delle travi sono stati confrontati con i risultati ottenuti da un modello numerico agli elementi finiti utile per validare le leggi di interfaccia e prevedere il comportamento strutturale delle travi rinforzate con sistema EB-IRS/S-FRCM. Infine, sono state effettuate considerazioni sulla valutazione della deformazione di distacco intermedia (intermediate debonding) di strisce di acciaio applicate su elementi di c.a. secondo le indicazioni riportate nel documento CNR-DT/215. I confronti sono stati eseguiti utilizzando i dati sperimentali ottenuti nello sviluppo della tesi ed un database di risultati collezionati dalla letteratura scientifica. Il confronto è effettuato anche con semplici formule predittive proposte da diversi autori. Da questi confronti si evince come le indicazioni del documento CNR-DT/215 forniscano risultati affidabili per le fibre con bassa densità ed al contrario errori non trascurabili XII nel caso di fibre di acciaio ad alta densità. Le formule predittive, caratterizzate dalla facilità d’uso, indicano valori accurati in combinazione con opportuni coefficienti parziali di sicurezza.
Modellazione Numerica per l’ottimizzazione multi-obiettivo di sistemi in assetto co- e tri-generativo
(Università della Calabria, 2022-07-08) Lucarelli, Giuseppe; Conte, Enrico; Fragiacomo, Petronilla
Probabilistic assessment of the seismic performance of two earth dams in Southern Italy using simplified and advanced constitutive models
(Università della Calabria, 2021-06-16) Regina, Gianluca; Conte, Enrico; Cairo, Roberto; Zimmaro, Paolo; Ziotopoulou, Katerina
The large majority of existing earth dams were designed with old standards, which often accounted for the effects of earthquakes in a simplified manner. Nowadays, safety assessment of these structures is becoming of great importance, particularly for dams suffering the effects of ageing. This study presents a fully probabilistic approach to evaluate the seismic performance of two critical earth dams in the Calabria region, a seismically active area in Southern Italy. One of them (the Farneto del Principe dam) is not susceptible to liquefaction, whereas the other dam (the Angitola dam) is founded on potentially liquefiable soils. Seismic input motions are derived from site-specific probabilistic approaches. Non-ergodic ground response is implemented within a probabilistic seismic hazard analysis (PSHA) framework for one of the two dam sites. This non-ergodic PSHA is derived from numerical amplification functions based on one-dimensional simulations. Such well-documented early application of non-ergodic PSHA for earth dams in Italy may encourage a transformational shift from years of past practices based on deterministic amplification functions merged with PSHA results by means of hybrid approaches. Simplified (i.e., using the Mohr–Coulomb failure criterion coupled with a simplified hysteretic procedure) and advanced (i.e., PM4Sand and PM4Silt) constitutive models are used to perform a comprehensive numerical simulation program for both dams. Field and laboratory geotechnical characterization data are used to calibrate these models. This calibration process is fully documented and potential issues discussed. Such fully-documented calibration process will enable future studies on similar infrastructure systems when advanced constitutive models are necessary. Shear strain and deformation patterns are analyzed and discussed, showing that for the Farneto del Principe dam (comprising non-liquefiable materials) both constitutive models provide similar results. However, when potentially liquefiable soils are involved, advanced constitutive models are necessary to capture the complexity and nuances of such materials. This effect is evident for the Angitola dam. For both dams, seismic vulnerability is analyzed by means of analytical fragility functions for various damage mechanisms and intensity measures. Such fragility functions are based on nonlinear deformation analyses within the multiple stripe analysis framework. All fragility functions derived in this study are shown and main outcomes are illustrated by summary tables reporting mean and standard deviation values of these curves. Finally, the efficiency and predictability of various ground motion intensity measures to predict different damage levels and mechanisms are calculated for both dams. Predictability of recent semi-empirical ground motion models is also calculated for all analyzed intensity measures. Overall, results from this analysis indicate that velocity-based ground motion properties, such as Peak Ground Velocity, Arias Intensity, Cumulative Absolute Velocity, and Cumulative Absolute Velocity after application of a 0.05 𝑚𝑠2 threshold acceleration provide good efficiencies in predicting damage. These intensity measures are the best in predicting damage states for both dams and all damage mechanisms. However, some of them are more predictable than others. After merging efficiency and predictability information, the best intensity measure to predict damage is the Cumulative Absolute Velocity, followed by the Arias intensity.
The quality of air transport service
(Università della Calabria, 2021-03-25) Bellizzi, Maria Grazia; Conte, Enrico; Eboli, Laura
The socioeconomic development of a country necessarily relies on the improvement of all transport services. With the introduction of new technologies, transport industry has developed considerably in recent years, and as a consequence people habits and travel choices changed as well. In this context, air transport has a significant role, and it could be considered one of the most significant contributors to the advancement of modern society. Evaluating air transport service quality is important as it is for the other public transport systems. Airport facilities and services are the first experiences that a passenger receives upon arrival. For this reason, providing airport services characterized by high levels of quality is very important to make the travel more pleasant for the passengers, with the final objective to attract more users. Therefore, measuring the levels of airport services by evaluating passengers’ satisfaction with them is essential to understand the needs of customers. In the same way, with the airlines’ deregulation the number of airlines entered into the air transport industry significantly increased, causing a stronger competition. In this context, it is evident that provided service quality, as well as passengers’ satisfaction, play an important role also in the airlines marketing strategies. While literature regarding the evaluation of road and rail public transport service quality is well established from many years, literature concerning air transport service quality is relatively recent. A first substantial issue that emerges from the air transport related literature concerns the complexity of the various characteristics of the services, which can relate to the airport managing companies and to the airlines. For this reason, the major part of the studies treats separately these two groups of service. Specifically, the researchers analysed air transport services by distinguishing the concerning the services offered in the airports from the ones provided by the airlines. The aim of this thesis work is to give a contribution to the existing literature, by applying various techniques and models for analysing both airport and airlines’ service quality. As suggested by the literature, also in this work the airport services have been treated separately by the airlines’ services. In fact, two different data samples were analysed. Specifically, the International airport of Lamezia Terme (Italy) has been considered as case study for the airport services. Otherwise, data collected by an online survey conducted at the University of Calabria (Italy) became object of study for the airlines’ services analyses. Several tools have been tested and proposed. The obtained results could be considered not only as a research contribution, but also as starting point to help air transport managers and providers in choosing the effective strategy for providing services characterized by adequate levels of quality.
Quantitative approaches for the integrated management of agri-food supply chains
(Università della Calabria, 2021-06-10) Solina, Vittorio; Conte, Enrico; Mirabelli, Giovanni
In recent years, the development of global markets and higher expectations from end customers have forced the supply chain players to better coordinate and integrate their plans, in order to maintain high levels of performance and be competitive on the market. Today, in fact, companies compete not only on product price or quality, but also on the reliability and timeliness of deliveries. Managing a supply chain in an integrated and coordinated manner is even more complicated and challenging, with reference to the agri-food context, where the constraints about quality and safety of goods, that are usually perishable, are much more stringent than in other sectors. By coordinating the various activities, it is possible to make supply chains more efficient and sustainable, as products can be made and distributed in the right quantity, at the right time and to the right customer. In support of integrated planning, new technologies are recently spreading, with the aim of making the sharing of data and information between the various actors safe and efficient. In this regard, the blockchain is among those technologies, whose interest has grown the most in recent months, both from the academic and business world. The present dissertation mainly aims to develop, test and validate novel quantitative approaches for the integrated management of agri-food chains. • In Chapter 2, a review of the main scientific works published in the last 15 years is proposed, referring to the integration of production, storage and distribution activities, via optimization strategies, within perishable supply chains. In this context, in order to identify effectively the different research gaps and to suggest possible future challenges, a five-dimension classification framework is proposed. This review is the starting point for the following 3 chapters, which address as many case studies. • In Chapter 3, an optimization model is designed for the simultaneous management of the storage and distribution of agricultural products. It is used to maximize the profits of a real company, which deals with the planting, growing, harvesting, storage and distribution of cauliflowers to a main customer and to spot customers. A hybrid fresh-/old-first inventory management policy is modeled to balance the quality of the delivered product and limit the amount wasted. The model improves the current practices of the firm and supports effectively the day-to-day decisionmaking regarding the quantities of product, for each age, to be stored and distributed to each customer. • In Chapter 4, a model is instead developed and tested to integrate the activities of production (i.e., harvesting), storage, distribution and routing of perishable agri-products. The case study refers to two companies, located in Southern Italy. At the tactical level, the proposed model determines the optimal value of two important operating parameters: the frequency of the harvesting activities and the service level to be guaranteed to customers. At the operational level, instead, the model is a valid tool to suggest to the company, day-to-day, the optimal quantities to harvest, store, distribute, and the routes to travel to reach customers, in order to maximize profits and contain waste. In this context, considering that the companies of the case study share some customers and are not in competition, as they are heterogeneous in terms of marketed products, the possibility of horizontal collaboration is also explored. The collaboration, as intended in this Chapter, implies that one of the two actors makes its own fleet of vehicles available, in exchange for a fee. In this context, a heuristic framework is proposed and validated. It suggests collaborating day by day, only if collaboration is economically convenient for both the companies. Computational tests, carried out on randomly generated instances, reveal that the collaboration can guarantee significant savings in terms of CO2 emissions and therefore make the supply chain more sustainable. • Chapter 5 deals with the integration of the production, storage and distribution activities of a company in the vegetable sector. In the production field, a scheduling problem is solved, which takes into account the set-up times of the production line, the hourly fluctuations in the energy price and the perishable nature of raw materials. In the distribution field, instead, it is necessary to schedule deliveries in terms of quantity of shipped products and days. The proposed model allows to schedule both production and distribution in an integrated way. Two rescheduling strategies are tested, to adequately react to customer demand, which occurs on a weekly basis. The first reproduces the current behavior of the company, while the second allows to improve current practices and jointly minimize the costs of energy, storage and distribution. • In Chapter 6, considering the recent proliferation of scientific works on the theoretical or practical use of blockchain technology in the agri-food sector, a literature review on this topic is proposed. This tool, since it allows the real-time sharing of information between the various players in the supply chain in a safe and efficient way, can facilitate the coordination of production and distribution plans, which is the main subject of the previous chapters of this thesis work. The aim is to identify current research trends and inform the reader about the degree
The Role of Physics Based Modeling of Macro/Micro Machining Operations in the Era of Electric Vehicles Revolution
(Università della Calabria, 2021-05-28) Rinaldi, Sergio; Conte, Enrico; Umbrello, Domenico
Studio delle tecnologie di localizzazione acustica subacquea e sviluppo di tecniche per la riduzione dell'errore di posizione
(Università della Calabria, 2023-02-08) Aiello, Rosario; Conte, Enrico; Bruno, Fabio
Towards the Clean Energy Building Community: multi-objective optimization of photovoltaic-wind-battery assisted heat pump systems in the presence of electric vehicle charging stations
(Università della Calabria, 2021-06-10) Matera, Nicoletta; Conte, Enrico; Oliveti, Giuseppe; Mazzeo, Domenico
La tesi di dottorato si propone di analizzare l'abbinamento di sistemi ibridi rinnovabili con sistemi di accumulo al fine di mitigare l’incertezza e l’intermittenza di tali risorse e, quindi, di raggiungere una maggiore affidabilità nel soddisfare il carico richiesto e ridurre l'energia in eccesso. La ricerca si è focalizzata sullo studio di una “Comunità a Energia Pulita” in cui sistemi ibridi tri-generativi composti da sistemi eolici, fotovoltaici, di accumulo e pompe di calore sono impiegati per la produzione di energia elettrica ed energia termica “calda” e “fredda” per la climatizzazione degli edifici, per fornire elettricità a distretti di edifici residenziali o di uffici e per alimentare stazioni di ricarica dei veicoli elettrici. Viene fornite una panoramica e un database matriciale aggiornabile dei 550 articoli scientifici più rilevanti nella letteratura scientifica pubblicati nel periodo 1995-2020, propone diversi strumenti di dimensionamento e previsione delle performance della comunità a servizio dei progettisti e dei legislatori. Sonpo state considerate, tenendo conto degli aspetti energetici, economici e ambientali: • diverse applicazioni; • varie configurazioni di impianto stand-alone e grid-connected (con e senza batterie di accumulo, con e senza sistemi eolici, con e senza sistemi fotovoltaici, con e senza pompe di calore e con e senza stazioni di ricarica di veicoli elettrici); • differenti condizioni di carico e località nel mondo. Le procedure proposte si basano su analisi dinamiche e sul confronto sistematico e l’ottimizzazione di opportuni indicatori di performance, per individuare le migliori condizioni climatiche nel mondo e profili di carico e per determinare l'affidabilità energetica del sistema, oltre che la massima convenienza economica e il massimo abbattimento di emissioni inquinanti. Infine, il consistente database creato è stato impiegato per creare un tool per il dimensionamento e per la previsione delle performance della comunità ad energia pulita impiegando tecniche di intelligenza artificiale basate sulle reti neurali artificiali. Il tool previsionale è applicabile ad una qualsiasi comunità ad energia pulita, con una qualsiasi potenza nominale installata, senza limitazioni geografiche, da implementare potenzialmente in qualsiasi località del mondo, e abbinabile a qualsiasi andamento di carico. Lo strumento, inoltre, con pochi dati annuali in input è in grado di determinare direttamente le prestazioni annuali della comunità senza eseguire alcuna simulazione dinamica ottenendo risultati molto accurati quanto quelli derivanti da simulazioni orarie.