Evoluzione del progetto casa: un modello di rappresentazione

Il tema della casa, e più in generale dell’abitare, è argomento tornato al centro del dibattito sociale più di quanto non sia avvenuto in campo tecnico‐architettonico. Sono infatti abbastanza evidenti i limiti delle proposte che nel recente passato sono state, di norma, elaborate nelle nostre città, proposte molto spesso incapaci di tener conto delle molteplici dimensioni che l’evoluzione dei costumi e della struttura urbana e sociale ha indotto anche nella sfera della residenza e che sono legate a mutate condizioni lavorative, alla diversità di cultura e di religione di nuovi gruppi etnici insediati, alla struttura dei nuclei familiari (ove ancora esistano) ed a molti altri fattori; cambiate le esigenze, un tempo composte nella struttura della famiglia, sono cambiati desideri e richieste mentre l’apparato normativo è rimasto strutturato su modelli sociali ed economici superati. Il tema dunque assume, oggi più che mai, connotazioni con forti relazioni fra problematiche funzionali, tecnologiche e simboliche. Stimolata da queste osservazioni generali, la ricerca si è mossa partendo da un’analisi di casi realizzati nel periodo storico in cui si è esaurita, in Italia, l’emergenza abitativa post‐bellica, nell’intento di riconsiderare l’approccio vitale che era stato messo in campo in quella drammatica circostanza, ma già consapevole che lo sviluppo che avrebbe poi avuto sarebbe stato molto più circoscritto. La tesi infatti, dopo aver osservato rapidamente la consistenza tipologica ed architettonica di quegli interventi, per trarne suggestioni capaci di suggerire un credibile e nuovo prototipo da indagare, attraverso un’analisi comparativa sugli strumenti oggi disponibili per la comunicazione e gestione del progetto, si è soffermata sulla potenzialità delle nuove tecnologie dell'informazione (IT). Non si può infatti non osservare che esse hanno modificato non solo il modo di vivere, di lavorare, di produrre documenti e di scambiare informazioni, ma anche quello di controllare il processo di progetto. Il fenomeno è tuttora in corso ma è del tutto evidente che anche l'attività progettuale, seppure in un settore quale è quello dell'industria edilizia, caratterizzato da una notevole inerzia al cambiamento e restio all'innovazione, grazie alle nuove tecnologie ha conosciuto profonde trasformazioni (già iniziate con l’avvento del CAD) che hanno accelerato il progressivo mutamento delle procedure di rappresentazione e documentazione digitale del progetto. Su questo tema quindi si è concentrata la ricerca e la sperimentazione, valutando che l'”archivio di progetto integrato”, (ovvero IPDB ‐ Integrated Project Database) è, probabilmente, destinato a sostituire il concetto di CAD (utilizzato fino ad ora per il settore edilizio ed inteso quale strumento di elaborazione digitale, principalmente grafica ma non solo). Si è esplorata quindi, in una prima esperienza di progetto, la potenzialità e le caratteristiche del BIM (Building Information Model) per verificare se esso si dimostra realmente capace di formulare un archivio informativo, di sostegno al progetto per tutto il ciclo di vita del fabbricato, ed in grado di definirne il modello tridimensionale virtuale a partire dai suoi componenti ed a collezionare informazioni delle geometrie, delle caratteristiche fisiche dei materiali, della stima dei costi di costruzione, delle valutazioni sulle performance di materiali e componenti, delle scadenze manutentive, delle informazioni relative a contratti e procedure di appalto. La ricerca analizza la strutturazione del progetto di un edificio residenziale e presenta una costruzione teorica di modello finalizzata alla comunicazione e gestione della pianificazione, aperta a tutti i soggetti coinvolti nel processo edilizio e basata sulle potenzialità dell’approccio parametrico.

Modelli Digitali e Archivi di Progetto. Sistemi integrati di documentazione per l'architettura.

Le tecniche dell'informazione e i metodi della comunicazione hanno modificato il modo di redigere documenti destinati a trasmettere la conoscenza, in un processo che è a tutt'oggi in corso di evoluzione. Anche l'attività progettuale in ingegneria ed architettura, pure in un settore caratterizzato da una notevole inerzia metodologica e restio all'innovazione quale è quello dell'industria edilizia, ha conosciuto profonde trasformazioni in ragione delle nuove espressioni tecnologiche. Da tempo l'informazione necessaria per realizzare un edificio, dai disegni che lo rappresentano sino ai documenti che ne indicano le modalità costruttive, può essere gestita in maniera centralizzata mediante un unico archivio di progetto denominato IPDB (Integrated Project DataBase) pur essendone stata recentemente introdotta sul mercato una variante più operativa chiamata BIM (Building Information Modelling). Tuttavia l'industrializzazione del progetto che questi strumenti esplicano non rende conto appieno di tutti gli aspetti che vedono la realizzazione dell'opera architettonica come collettore di conoscenze proprie di una cultura progettuale che, particolarmente in Italia, è radicata nel tempo. La semantica della rappresentazione digitale è volta alla perequazione degli elementi costitutivi del progetto con l'obiettivo di catalogarne le sole caratteristiche fabbricative. L'analisi della letteratura scientifica pertinente alla materia mostra come non sia possibile attribuire ai metodi ed ai software presenti sul mercato la valenza di raccoglitori omnicomprensivi di informazione: questo approccio olistico costituisce invece il fondamento della modellazione integrata intesa come originale processo di rappresentazione della conoscenza, ordinata secondo il paradigma delle "scatole cinesi", modello evolvente che unifica linguaggi appartenenti ai differenti attori compartecipanti nei settori impiantistici, strutturali e della visualizzazione avanzata. Evidenziando criticamente i pregi e i limiti operativi derivanti dalla modellazione integrata, la componente sperimentale della ricerca è stata articolata con l'approfondimento di esperienze condotte in contesti accademici e professionali. Il risultato conseguito ha coniugato le tecniche di rilevamento alle potenzialità di "modelli tridimensionali intelligenti", dotati cioè di criteri discriminanti per la valutazione del relazionamento topologico dei componenti con l'insieme globale.

3D Surveying and Data Management towards the Realization of a Knowledge System for Cultural Heritage

The research activities involved the application of the Geomatic techniques in the Cultural Heritage field, following the development of two themes: Firstly, the application of high precision surveying techniques for the restoration and interpretation of relevant monuments and archaeological finds. The main case regards the activities for the generation of a high-fidelity 3D model of the Fountain of Neptune in Bologna. In this work, aimed to the restoration of the manufacture, both the geometrical and radiometrical aspects were crucial. The final product was the base of a 3D information system representing a shared tool where the different figures involved in the restoration activities shared their contribution in a multidisciplinary approach. Secondly, the arrangement of 3D databases for a Building Information Modeling (BIM) approach, in a process which involves the generation and management of digital representations of physical and functional characteristics of historical buildings, towards a so-called Historical Building Information Model (HBIM). A first application was conducted for the San Michele in Acerboli’s church in Santarcangelo di Romagna. The survey was performed by the integration of the classical and modern Geomatic techniques and the point cloud representing the church was used for the development of a HBIM model, where the relevant information connected to the building could be stored and georeferenced. A second application regards the domus of Obellio Firmo in Pompeii, surveyed by the integration of the classical and modern Geomatic techniques. An historical analysis permitted the definitions of phases and the organization of a database of materials and constructive elements. The goal is the obtaining of a federate model able to manage the different aspects: documental, analytic and reconstructive ones.

Semantic Service Architectures for Smart Environments

Many industries and academic institutions share the vision that an appropriate use of information originated from the environment may add value to services in multiple domains and may help humans in dealing with the growing information overload which often seems to jeopardize our life. It is also clear that information sharing and mutual understanding between software agents may impact complex processes where many actors (humans and machines) are involved, leading to relevant socioeconomic benefits. Starting from these two input, architectural and technological solutions to enable “environment-related cooperative digital services” are here explored. The proposed analysis starts from the consideration that our environment is physical space and here diversity is a major value. On the other side diversity is detrimental to common technological solutions, and it is an obstacle to mutual understanding. An appropriate environment abstraction and a shared information model are needed to provide the required levels of interoperability in our heterogeneous habitat. This thesis reviews several approaches to support environment related applications and intends to demonstrate that smart-space-based, ontology-driven, information-sharing platforms may become a flexible and powerful solution to support interoperable services in virtually any domain and even in cross-domain scenarios. It also shows that semantic technologies can be fruitfully applied not only to represent application domain knowledge. For example semantic modeling of Human-Computer Interaction may support interaction interoperability and transformation of interaction primitives into actions, and the thesis shows how smart-space-based platforms driven by an interaction ontology may enable natural ad flexible ways of accessing resources and services, e.g, with gestures. An ontology for computational flow execution has also been built to represent abstract computation, with the goal of exploring new ways of scheduling computation flows with smart-space-based semantic platforms.

Maternal Smoking Impact on the Delivery Cost: a population-based study in the Emilia-Romagna region

This doctoral thesis is devoted to the study of the causal effects of the maternal smoking on the delivery cost. The interest of economic consequences of smoking in pregnancy have been studied fairly extensively in the USA, and very little is known in European context. To identify the causal relation between different maternal smoking status and the delivery cost in the Emilia-Romagna region two distinct methods were used. The first - geometric multidimensional - is mainly based on the multivariate approach and involves computing and testing the global imbalance, classifying cases in order to generate well-matched comparison groups, and then computing treatment effects. The second - structural modelling - refers to a general methodological account of model-building and model-testing. The main idea of this approach is to decompose the global mechanism into sub-mechanisms though a recursive decomposition of a multivariate distribution.

The assessment of change in rural landscape and the analysis of the driving forces. Proposal of a spatial model for the rural built environment

The presented study carried out an analysis on rural landscape changes. In particular the study focuses on the understanding of driving forces acting on the rural built environment using a statistical spatial model implemented through GIS techniques. It is well known that the study of landscape changes is essential for a conscious decision making in land planning. From a bibliography review results a general lack of studies dealing with the modeling of rural built environment and hence a theoretical modelling approach for such purpose is needed. The advancement in technology and modernity in building construction and agriculture have gradually changed the rural built environment. In addition, the phenomenon of urbanization of a determined the construction of new volumes that occurred beside abandoned or derelict rural buildings. Consequently there are two types of transformation dynamics affecting mainly the rural built environment that can be observed: the conversion of rural buildings and the increasing of building numbers. It is the specific aim of the presented study to propose a methodology for the development of a spatial model that allows the identification of driving forces that acted on the behaviours of the building allocation. In fact one of the most concerning dynamic nowadays is related to an irrational expansion of buildings sprawl across landscape. The proposed methodology is composed by some conceptual steps that cover different aspects related to the development of a spatial model: the selection of a response variable that better describe the phenomenon under study, the identification of possible driving forces, the sampling methodology concerning the collection of data, the most suitable algorithm to be adopted in relation to statistical theory and method used, the calibration process and evaluation of the model. A different combination of factors in various parts of the territory generated favourable or less favourable conditions for the building allocation and the existence of buildings represents the evidence of such optimum. Conversely the absence of buildings expresses a combination of agents which is not suitable for building allocation. Presence or absence of buildings can be adopted as indicators of such driving conditions, since they represent the expression of the action of driving forces in the land suitability sorting process. The existence of correlation between site selection and hypothetical driving forces, evaluated by means of modeling techniques, provides an evidence of which driving forces are involved in the allocation dynamic and an insight on their level of influence into the process. GIS software by means of spatial analysis tools allows to associate the concept of presence and absence with point futures generating a point process. Presence or absence of buildings at some site locations represent the expression of these driving factors interaction. In case of presences, points represent locations of real existing buildings, conversely absences represent locations were buildings are not existent and so they are generated by a stochastic mechanism. Possible driving forces are selected and the existence of a causal relationship with building allocations is assessed through a spatial model. The adoption of empirical statistical models provides a mechanism for the explanatory variable analysis and for the identification of key driving variables behind the site selection process for new building allocation. The model developed by following the methodology is applied to a case study to test the validity of the methodology. In particular the study area for the testing of the methodology is represented by the New District of Imola characterized by a prevailing agricultural production vocation and were transformation dynamic intensively occurred. The development of the model involved the identification of predictive variables (related to geomorphologic, socio-economic, structural and infrastructural systems of landscape) capable of representing the driving forces responsible for landscape changes.. The calibration of the model is carried out referring to spatial data regarding the periurban and rural area of the study area within the 1975-2005 time period by means of Generalised linear model. The resulting output from the model fit is continuous grid surface where cells assume values ranged from 0 to 1 of probability of building occurrences along the rural and periurban area of the study area. Hence the response variable assesses the changes in the rural built environment occurred in such time interval and is correlated to the selected explanatory variables by means of a generalized linear model using logistic regression. Comparing the probability map obtained from the model to the actual rural building distribution in 2005, the interpretation capability of the model can be evaluated. The proposed model can be also applied to the interpretation of trends which occurred in other study areas, and also referring to different time intervals, depending on the availability of data. The use of suitable data in terms of time, information, and spatial resolution and the costs related to data acquisition, pre-processing, and survey are among the most critical aspects of model implementation. Future in-depth studies can focus on using the proposed model to predict short/medium-range future scenarios for the rural built environment distribution in the study area. In order to predict future scenarios it is necessary to assume that the driving forces do not change and that their levels of influence within the model are not far from those assessed for the time interval used for the calibration.

Model selection and the vectorial misspecification-resistant information criterion in multivariate time series

The thesis deals with the problem of Model Selection (MS) motivated by information and prediction theory, focusing on parametric time series (TS) models. The main contribution of the thesis is the extension to the multivariate case of the Misspecification-Resistant Information Criterion (MRIC), a criterion introduced recently that solves Akaike’s original research problem posed 50 years ago, which led to the definition of the AIC. The importance of MS is witnessed by the huge amount of literature devoted to it and published in scientific journals of many different disciplines. Despite such a widespread treatment, the contributions that adopt a mathematically rigorous approach are not so numerous and one of the aims of this project is to review and assess them. Chapter 2 discusses methodological aspects of MS from information theory. Information criteria (IC) for the i.i.d. setting are surveyed along with their asymptotic properties; and the cases of small samples, misspecification, further estimators. Chapter 3 surveys criteria for TS. IC and prediction criteria are considered for: univariate models (AR, ARMA) in the time and frequency domain, parametric multivariate (VARMA, VAR); nonparametric nonlinear (NAR); and high-dimensional models. The MRIC answers Akaike’s original question on efficient criteria, for possibly-misspecified (PM) univariate TS models in multi-step prediction with high-dimensional data and nonlinear models. Chapter 4 extends the MRIC to PM multivariate TS models for multi-step prediction introducing the Vectorial MRIC (VMRIC). We show that the VMRIC is asymptotically efficient by proving the decomposition of the MSPE matrix and the consistency of its Method-of-Moments Estimator (MoME), for Least Squares multi-step prediction with univariate regressor. Chapter 5 extends the VMRIC to the general multiple regressor case, by showing that the MSPE matrix decomposition holds, obtaining consistency for its MoME, and proving its efficiency. The chapter concludes with a digression on the conditions for PM VARX models.