98,598 research outputs found
No álbum do Sr. F. G. Braga
No full textTexto do poema "No álbum do Sr. F. G. Braga", de Machado de Assis, editado por José Américo Miranda e Alex Sander Luiz Campos. 
No álbum do Sr. F. G. Braga
No full textTexto do poema "No álbum do Sr. F. G. Braga", de Machado de Assis, editado por José Américo Miranda e Alex Sander Luiz Campos.  
Energia, forma e significato: rappresentazione e comunicazione linguistica nell'opera di Giorgio Braga
No full textTra le funzioni della comunicazione quella mediatrice è la principale, in particolare modo per la comunicazione linguistica. Lo studioso suppone che analizzando tale funzione si possa arrivare alla scoperta delle caratteristiche fondamentali del meccanismo che collega i paradigmi e i sintagmi. La semantica vista come "operare dei segni" è quindi lo studio del processo semiotico assicurato dalla funzione mediatrice e serve in modo specifico a mediare gli spazi vitali e il campo sociale. Braga è interessato solo indirettamente ai vincoli che sorgono dal costituirsi in sistemi di segni. L'inserimento della comunicazione all'interno del sistema delle azioni, ha portato Braga a individuare che cosa distingue la comunicazione da tutte le altre azioni che non rientrano nella categoria delle comunicazioni.
Ogni uomo ha una diretta esperienza del processo del significare e degli altri processi collegati ai segni. Braga sottolinea spesso che solo l'introspezione offre una conoscenza, adeguata dei processi sociali, mediante le conoscenze parallele fornite dalla stessa procedura introspettiva, ma vi concorrono anche le osservazioni intersoggettive, convergenti su di uno stesso soggetto. La psicologia dell'età evolutiva ha rilevato la complessità dei processi attraverso cui il bambino impara a separare l'oggettivo dal soggettivo
Utilizzando la teoria del campo, Braga ha proposto al di fuori della prospettiva semiologica e linguistica un "rapporto di significanza". La strutturazione dello spazio vitale è un processo psicologico mentre la ricostruzione simbolica del campo sociale è un processo sociologico
New Φ method in EN1996 for the verification of second-order effects in load-bearing masonry walls
No full textThe Eurocode 6 (EC6) revision work carried out in recent years within the “CEN/TC 250/SC 6 – Masonry Structure” was an opportunity to reconsider verification methods for unreinforced masonry (URM) walls when subjected to combined vertical and out-of-plane loading and with significant second-order effects. The method proposed in the previous version of EC6 was based on an axial load capacity reduction factor (φm), the values of which were derived from an approximate model, fairly conservative for a wide range of wall stiffnesses. In addition, the previous version of EC6 did not require explicit verification in terms of lateral flexural capacity for URM walls subjected to significant lateral loads (e.g., seismic actions), when it would be appropriate and rational. For the latter verification, which should also take into account second-order effects, a reduction factor similar to φm can be defined for bending capacity reduction (φM). Therefore, this paper aims to show the scientific derivation of the new criteria adopted in the current version of EC6 (EN1996-1-1:2022) for the verification of second-order effects in URM walls. In particular, the numerical procedure for quantifying the φ factors is presented, which has improved the estimates previously available in the literature. Based on these numerical results, prediction models of these φ factors are proposed, which are also used to demonstrate the one-to-one correspondence between φm and φM. Then, validation comparisons are shown between the predicted values of the reduction factors and the relevant experimental and numerical values previously available in the literature. Finally, the calibration of the models proposed in the new version of EC6 is shown for both φm and φM
Seismic risk assessment using machine learning for the automatic identification of building features
No full textIn nations with a high seismic hazard and a significantly vulnerable built heritage, seismic risk assessment represents a serious challenge. In particular, when seismic risk needs to be analyzed on large scales, vulnerability and exposure evaluations can lead to time-consuming and expensive investigations. In this work, artificial intelligence techniques are leveraged to address this issue. Specifically, Convolutional Neural Networks (CNNs) are trained to automatically collect data about buildings from satellite imagery and street views. In this work, three CNNs are trained to recognize the following features: building height, material, and construction period, deemed to be the essential parameters for associating a specific seismic vulnerability level to a building. The following step of this study involves the combination of vulnerability and exposure with seismic hazard to evaluate seismic damage and risk. The latter is represented by potential losses in terms of reconstruction costs, number of unusable buildings, and displaced people. Emergency management organizations may find the results of this work useful for setting priority standards for seismic retrofit operations, as well as for allocating rescue resources after an earthquake
Un “Task and Finish Group” dell’”European Federation of Clinical Chemistry and Laboratory Medicine” (EFLM) per la creazione di un nuovo “database” elettronico per i dati di variabilità biologica
No full text
Escola de Braga – a correspondência com Delfim Santos
No full textSANTOS, F. D. & ALVES, J. A. (organizadores). Escola de Braga – a
correspondência com Delfim Santos. Braga: Publicações da Faculdade de Filosofia, Universidade Católica, 2011
Analytical model to predict the out-of-plane response of masonry infill walls
No full textThe use of brick masonry infill walls is a common practice in reinforced concrete (RC) frames. These, classified as non-structural elements and often overlooked in design models, strongly influence the seismic behaviour of RC frames by increasing the overall structural stiffness. In addition, they can lead to significant structural irregularities and be the cause of brittle failure mechanisms, such as soft-floor mechanisms.
This paper aims to present a recently developed analytical model for estimating the lateral out-of-plane (OOP) response of various masonry infill walls. This model implements vertical and horizontal arch mechanisms, including the deformability of the RC frame elements surrounding the panel (i.e., upper beam and columns), the possible presence of external strengthening solutions, and considering different failure mechanisms. The model is calibrated on the results of previous experimental campaigns for thin and thick infill walls, reinforced and unreinforced, also considering previous in-plane damage.
Finally, a parametric analysis based on this model is presented, which is useful for discussing the role of the main vulnerability parameters of infills on their OOP capacity
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