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 |
Files in This Item:
File | Size | Format | |
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Links of Aesthetic Value.pdf | 1.48 MB | Adobe PDF | View/Open |
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