This research aims to deal with the theme of the survey applied to the BIM methodology in cultural heritage; in particular on those buildings that, although from different periods and construction tech-nologies, require energy requalification. The study focuses on two cases in Umbria: Borgo Lizori, a characteristic historical settlement located along the Assisi–Spoleto olive grove, and the Palazzetto dello Sport in Bastia Umbra, a post–modern building designed by arch. Leoncilli Massi.
Experimental Value of Representative Models in Wooden Constructions
Drawing has always been a necessary model for directing architectural realization. The design of the shape has become a nodal condition for multiple analysis integration, which is increasingly necessary to meet the performance requirements to which the design must react holistically as a result of digital representation, which has resulted in the enrichment and sophistication of the simulation’s predictive capacity. The aim of the study is to test the theories that have been proposed and to ensure that the results are accurate. It is important to test the accuracy of the adopted solutions using the models themselves, through the use of an empirical approach that must be abstracted into a constructed representation capable of synthesizing the qualities to be detected. The current research, which has resulted in the development of some case studies in the field of wooden constructions, is set in a framework that emphasizes the relationship between simulation and realization.
New Interpretative Models for the Study of Urban Space
The research project aims to acquire data on the impact of an environment on humans. The pro-cess is based on the use of the EEG helmet synchronised to GPS: the EEG helmet is a device that non–invasively records 14 channels of the human brain through electrodes and, through an algorithm, transforms them into cognitive states in real time. Starting from this raw data, through the ‘circumplex model’, cognitive states can be transformed into emotions with the aim of showing what people on average feel in a given urban space. The data, which are linked through GPS to a position in space, are empirically recorded with statistically significant samples from which emotions are reprojected onto the mesh of the digitally reconstructed environment through a process of photomodelling.