ARLE GPS: A computational tool to aid solve the creative design of a house. Case study.

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.

ARLE GPS: A computational tool to aid architects in spatial planning of house

“…The solution obtained meets a range of requirements established for the definition and solution of a well-defined problem, instituted by apartment functionality program, useful area (AU) equal to 120 ± 5 m²; two units per floor; two connection with the external environment; required target performance of the house QQA=19.50 in relation to the target area AA=125m². This performance, established through the equation AU=0.0164*QQL^3=(19.68), represents the family of FPLs situated at the limit of the high-performance region of the explored design space, as illustrated in Figure 3 (Martins, 2022). Topological data for the assembly of the structure, modeling, and refinement of the design (FPL), such as the assembly order and connections between the rooms of the house, are made available directly by the biological model ARLEGPS, through the spreadsheet shown in Figure 4.…”

Exploration and evaluation of design quality through floor plan layout (FPLs) of an existing design space using the ARLE GPS tool. Case study

“…Which institutes a challenging and comprehensive task in several aspects (Basarir 2018), among them: capturing and quantifying the variables representative of the problem data, qualify these variables as representatives of design quality, in an analogy with the performance of the house, and evaluate this performance (Sousa-Rodrigues et al 2015), resolved by the LEQC analogy model (Martins 2022). For this, the LEQC mathematical model uses as input data the geometric variables surface area and perimeters of the FPL, which are tangible and easily quantified variables (Volker 2010).…”