Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Aesthetic Assessment of Free-Form Space Structures Using Machine Learning Based on the Expert's Experiences

Version 1 : Received: 11 August 2023 / Approved: 14 August 2023 / Online: 15 August 2023 (11:51:10 CEST)

A peer-reviewed article of this Preprint also exists.

Shahbazi, Y.; Ghofrani, M.; Pedrammehr, S. Aesthetic Assessment of Free-Form Space Structures Using Machine Learning Based on the Expert’s Experiences. Buildings 2023, 13, 2508. Shahbazi, Y.; Ghofrani, M.; Pedrammehr, S. Aesthetic Assessment of Free-Form Space Structures Using Machine Learning Based on the Expert’s Experiences. Buildings 2023, 13, 2508.

Abstract

Parametric form findings of free-form space structures and qualitative assessment of their aesthetics are among the concerns of architects. This study aims to evaluate the aesthetic aspect of these structures using ML algorithms based on the expert's experiences. First, various datasets of forms were produced using a parametric algorithm of free-form space structures written in Grasshopper. Then, three multilayer perceptron ANN models were adjusted in their most optimal modes using the results of the preference test based on the aesthetic criteria including simplicity, complexity, and practicality. The results indicate that the ANN models can quantitatively evaluate the aesthetic value of free-form space structures.

Keywords

Free-form Space Structure; Parametric Modelling; Artificial Neural Network; Aesthetics

Subject

Engineering, Civil Engineering

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