id |
ijac202220211 |
authors |
Mahmoud, Randa M.A.; Amr M.A. Youssef |
year |
2022 |
title |
A computational framework for supporting architectural education of spaces’ furnishing design |
source |
International Journal of Architectural Computing 2022, Vol. 20 - no. 2, pp. 346–377 |
summary |
Self-learning is receiving great attention internationally in different fields, along with the best utilization of different computational applications or methods. This paper introduces a novel computational approach for supporting Architectural Design Education (ADE) in its early stages; a computational implementation through MATLAB has been developed to conduct the proposed processes. As a scope, spaces’ furnishing design has been selected to demonstrate the proposed computational approach and implementation, while office workspaces have been selected as a representative case. However, the proposed approach provides and enhances ADE through three main concepts: (a) generating design alternatives for different cases of furnishing spaces, (b) providing accurate and flexible evaluations to students’/designers’ works with different levels, and (c) tracking students based on their defaults and relevant sensitive modifications. Different applications of the proposed approach have been generated, analyzed, and validated |
keywords |
Keywords Computational implementations, architectural design education, spaces’ furnishing, office workspaces, design framewor |
series |
journal |
references |
Content-type: text/plain
|
Acar U, Kaska O and Tokgoz N (2021)
Multi-objective optimization of building envelope components at the preliminary design stage for residential buildings in Turkey
, J Building Eng 2021; 42: 102499
|
|
|
|
Asefi M, Haghparast F and Sharifi E (2019)
Comparative study of the factors affecting the generativity of office spaces.
, Front Architectural Res 2019; 8: 106–119
|
|
|
|
Bachman Ch and Bachman L (2009)
Self-identity, rationalization and cognitive dissonance in undergraduate architectural design learning
, Architectural Res Q 2009; 132(4): 315–322
|
|
|
|
Balakrishnan B (2021)
Exploring the impact of design thinking tool among design undergraduates: a study on creative skills and motivation to think creatively
, Int J Technol Des Educ. published online: 2021, 09 January, published online: 2021, 09 January
|
|
|
|
Celani G (2002)
Beyond analysis and representation in CAD: a new computational approach to design education. Unpublished Ph.D
, thesis, Department of Architecture, MIT, USA, 2002.
|
|
|
|
Chafi MB, Harder M and Danielsson CB (2020)
Workspace preferences and non-preferences in activity-based flexible offices: two case studies
, Appl Ergon 2020; 83: 102971
|
|
|
|
Chatzikonstantinou L and Sariyildiz IS (2017)
Addressing design preferences via auto-associative connectionist models: application in sustainable architectural Façade design
, Autom Constr 2017; 83: 108–120
|
|
|
|
Dammag B (2019)
An educational model for potential utilization of synchronous 3D virtual environments for improving communication and interaction in architectural design studios
, Unpublished M.Sc thesis Egypt: Assiut University, 2019.
|
|
|
|
Das N, Wongsodihardjo H and Islam S (2016)
Modeling of multi-junction photovoltaic cell using MATLAB/Simulink to improve the conversion efficiency
, Renew Energy 2016; 74: 917–924 372 International Journal of Architectural Computing 20(2)
|
|
|
|
Dino IG (2016)
An evolutionary approach for 3D architectural space layout design exploration
, Autom Constr 2016; 69: 131–150
|
|
|
|
Guon Z and Li B (2017)
Evolutionary approach for spatial architecture layout design enhanced by an agent-based topology finding system
, Front Architectural Res 2017; 6: 53–62
|
|
|
|
Ilbeigi M, Ghomeishi M and Dehghanbanadaki A (2020)
Prediction and optimization of energy consumption in an office building using artificial neural network and a genetic algorithm
, Sustainable Cities Soc 2020; 61: 102325
|
|
|
|
Jeong SK and Ban YU (2011)
Computational algorithms to evaluate design solutions using Space Syntax
, Comp-Aided Des 2011; 43: 664–676
|
|
|
|
Khalili-Araghi S and Kolarevic B (2016)
Development of a framework for dimensional customization system: A novel method for customer participation
, J Building Eng 2016; 5: 231–238
|
|
|
|
Kherirandish S, Funk M, Wensveen S, et al (2020)
HuValue: a tool to support design students in considering human values in their design
, Int J Technol Des Educ 2020; 30: 1015–1041
|
|
|
|
Mahmoud RMA and Youssef AMA (2020)
Design framework for robotic surgery wards at hospitals: computational implementation
, Front Architectural Res 2020; 9: 514–540
|
|
|
|
Mahmoud RMA (2019)
Design Framework for Robotic Surgery Ward at Digital Hospitals
, Unpublished M.Sc., thesis. Egypt: Assiut University, 2019.
|
|
|
|
Marmaras N and Nathanael D (2006)
Workplace design
, G. Salvendy (ed) Chapter to appear in handbook of human factors & ergonomics. 3rd ed. New York: John Wiley & Sons; 2006.
|
|
|
|
Medjdouba B and Yannoub B (2000)
Separating topology and geometry in space planning
, Computer-Aided Des 2000; 32: 39–61
|
|
|
|
Mitchell WJ, Ligget RS and Kvan T (1987)
The art of computer graphics programming
, NY, USA: Van Nostrand Reinhold, 1987.
|
|
|
|
last changed |
2024/04/17 14:29 |
|