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

Author:

Shahbazi Yaser1,Ghofrani Mahsa1ORCID,Pedrammehr Siamak2ORCID

Affiliation:

1. Faculty of Architecture and Urbanism, Tabriz Islamic Art University, Tabriz 5164736931, Iran

2. Faculty of Design, Tabriz Islamic Art University, Tabriz 5164736931, Iran

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.

Publisher

MDPI AG

Subject

Building and Construction,Civil and Structural Engineering,Architecture

Reference49 articles.

1. Machine learning-based design and optimization of curved beams for multistable structures and metamaterials;Liu;Extrem. Mech. Lett.,2020

2. Comparison between human-defined and AI-generated design spaces for the optimisation of shell structures;Mirra;Structures,2021

3. Mueller, C.T. (2014). Computational Exploration of the Structural Design Space, Massachusetts Institute of Technology.

4. Machine learning assisted evaluations in structural design and construction;Zheng;Autom. Constr.,2020

5. Fuhrimann, L., Moosavi, V., Ohlbrock, P.O., and D’acunto, P. (2018). IASS Annual Symposia, International Association for Shell and Spatial Structures (IASS).

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