Function change

PROJECT TITLE Function change
RESEARCH LINE Instruments of Aid to Design and Construction
RESUME This project aims to study the impacts in living ambiences provoked by physical changes of the simulated build environment.
State of the Art and objectives

Built a model that might react both physically and digitally, computing different data (numeric and fiscal artifacts) simulating a specific reality gaining and enhancing living ambience qualities.


 Methodology Function change research project aims to study a set of cases of design (D) and physical models (PM) implementations, evaluating the immediate impact (in real time) of changing`s in D occurred in the PM, and the changing`s in PM in the D. The final goal is to propose a relational system, as (ТD→PM) and (ТPM→D), optimization model.   The changing of functions is such as: a living room that transforms itself in a living room and a bad room; an urban square that change to a playground; a building facade that reacts to the changes occurred at its nearby urban square.
Problematic and project development Technologies in use are related with generative design (GD), digital fabrication (DF), physical computation (PC), and statistical methodologies to data analysis. GD will use rule base design processes as shape grammar, PM will be produced with different rapid prototyping tools provided at the LPR/FAUL, and PC will use actuators and capacitors controlled by Arduino. The analysis will be done with linear regression and data mining methods.
It’s the goal of this project to develop a generative system that will allowed a model to be changed both physically and digitally to gain feedback on both realms with reversed model technics, in order to achieve an algorithm that might enunciate a specific reality. This “reality” will be than changed proposing the best ambiences possible.
Evaluation and diffusion data Testing the model by different user’s through a statistical evaluation method. Results will be shared with the community by paper presented in conference and published in journals (preferentially open access editions)
COORDINATOR Filipe Coutinho Quaresma
TEAM (at LEAU) Mohammed Boubezari, Luís Cabral, António Velez
TEAM (external to LEAU) José Duarte, José Beirão (FAUL), Gonçalo C Henriques (UFRJ), Pedro Arrobas (FAUL), Katia Zolotovsky (MIT), Woong Ki (MIT)
PARTNERS Robosavvy, Microsoft, Pronum, Camara Municipal de Odivelas
RESULTS (achieved or expected) Paper in journal and conference. Parametric program
PROJECT BEGINNING (expected date)
PROJECT CONCLUSION (expected date)