Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/33018
Title: Links of aesthetic value of multi-curvature artifacts, with their structural behavior, utilizing machine learning algorithms
Authors: Bakas, Nikolaos P. 
Christofi, Neofytos 
Bellos, John 
Antoniou, Dimitris 
Markou, George 
Major Field of Science: Engineering and Technology
Field Category: Computer and Information Sciences;ENGINEERING AND TECHNOLOGY;Civil Engineering;Other Engineering and Technologies
Keywords: Building Aesthetics;Structural Behaviour;Structural Analysis;Machine Learning;Regression Analysis
Issue Date: 1-Jan-2021
Source: 8 th ECCOMAS Thematic Conference on Computational Methods in Structural Dynamics and Earthquake Engineering
Volume: 2021
Conference: International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering 
Abstract: In this work, quantitative evidence on whether the aesthetic value of architectural design is associated with its structural response is investigated. The procedure for this study was based on 170 parametric projects, as well as their structural analysis results. The aesthetic value of an architectural project is an ambiguous concept, as it is based on each individual's perception of beauty. This is highlighted in the corresponding literature on parametric design, form-finding, and aesthetics, as well as in an extensive bibliometric analysis of several hundreds of research papers with respect to aesthetics and structures. Henceforth, a questionnaire was developed and given for vote to 23 persons from a variety of disciplines such as architects, engineers, as well as people with profession irrelevant to structures and/or aesthetics. The mean value of the votes of the questionnaire was considered as the dependent variable of the mathematical model, while the structural response parameters, internal forces and nodal displacements, were set as the Independent variables of the model. The obtained data were analyzed with regression analysis, utilizing linear and machine learning models, revealing a significant link between structural response and aesthetics.
URI: https://hdl.handle.net/20.500.14279/33018
ISSN: 26233347
Type: Conference Papers
Affiliation : University of Pretoria 
The Cyprus Institute 
Neapolis University Pafos 
University of Patras 
Publication Type: Peer Reviewed
Appears in Collections:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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