No abstract

The computational tool ARLE GPS "geometric planning solver of floor plan layout", converts the spatial planning of a house, conceptualized as a "wicked" problem, into a "well-defined" problem; and thus, helps the architect to solve it in a rational, innovative, and creative way, using a physical-biological meta-model. The physical model simulates solutions of the candidate FPL repetitively, in real time, and evaluates the geometric qualification of the FPL, representative of the quality of the solution, in an analogy with the physical functional performance of the house. The biological model makes it possible to build and explore design spaces, with the goal of retrieving information about inheritance and genetic transmission of high-performance solutions, to transcribe them into the development of innovative and creative designs. Thus, ARLE GPS evaluates creative design against the social value of the house, represented by its utility/functionality, and the quantitative innovation established by the fulfillment of the home purpose, by the user. Through geometric qualification (QQL) and optimization, in relation to the defining qualification of the house's required performance. (QQA). Associated with the evaluation of the house's performance over its useful life, represented by its usability. Computed by the ARLE GPS robust design model, through the geometric cost of losses (AN) variable, induced by the FPL design solution, as in the case of confined rooms, which persist during the house's lifetime.

No abstract

The floor plan layout (FPL) is conceptualized as an ill-defined problem, due to the identification and formulation of objectives not being fully clear in the conceptual phase of the design. A solution to this issue is to convert the ill-defined problem into a well-defined problem. That is, to make the problem explicit, already in the initial phase of the design process, so that it readily allows the architects to know the requirements and constraints, to formulate the goals, and to apply solution strategies they can manage while solving the problem. This conversion makes it possible to solve the problem by a scientific method, through mathematical modeling of the decision-making problem, rather than by a drawn method, via sketches. It allows the architect to establish a relationship between design variables and house performance attributes, and to know the limits within which the solution, or solutions, can be found, aiding him in generating optimized solutions. In order to contribute to the solution of this issue, we present the computational tool ARLE GPS (geometric planning solver). The tool acts as a physical-biological model of the FPL of house. The physical model is structured by a sophisticated mathematical model, which provides a set of metrics for objective (mathematical) analysis and evaluation, simulation, optimization, rating, and solution selection. The biological model collects, stores, transcribes, and retrieves genetic information from the FPL. The functionality of the physical-biological model allows to construct and explore physical-biological design spaces of FPL, and to establish their value spaces. Its operationalization occurred as an innovative acting tool in the housing architecture design education system.

A urbanização vem se expandindo rapidamente e muitas vezes de forma irregular, adentrando cada vez mais áreas antes rurais. Dessa maneira, o uso e ocupação do solo modifica-se, aumentando o índice de impermeabilização do solo, afetando e degradando a bacia hidrográfica local. Para tanto, este trabalho busca analisar o desenvolvimento e evolução da urbanização na bacia do Ribeirão Maringá, afluente do Rio Pirapó, bem como traçar um índice de ocupação para os próximos anos. Com o uso de softwares de tecnologia SIG e imagens dos satélites Landsat 5, 7 e 8, além de imagens da missão SRTM, foi estudada a bacia hidrográfica a fim de delimitá-la e determinar a porcentagem de ocupação urbana em vários anos entre 1984 e 2014. A partir dos dados obtidos, foi possível projetar a porcentagem de urbanização da bacia para os anos futuros. Constatou-se que, com o uso da tecnologia SIG, a visualização da situação da bacia torna-se mais fácil e assim contribui para o entendimento dos problemas de impermeabilização, uso e ocupação do solo.