Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	caadria2018_332
id	caadria2018_332
authors	van Ameijde, Jeroen and Song, Yutao
year	2018
title	Data-Driven Urban Porosity - Incorporating Parameters of Public Space into a Generative Urban Design Process
doi	https://doi.org/10.52842/conf.caadria.2018.1.173
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 173-182
summary	This paper presents an urban design project for a new city district, using generative design processes in architecture and urbanism developed over several years within academic research and practice work. The paper discusses the opportunities and challenges found when using a data-driven urban design methodology in relation to the complex logistical, social and economical networks of new urban centers.
keywords	Design Methods and Information Processing; Generative System; Simulation & Optimization; Urban Planning and Design; Public Space Design
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2021_089
id	caadria2021_089
authors	Cristie, Verina, Ibrahim, Nazim and Joyce, Sam Conrad
year	2021
title	Capturing and Evaluating Parametric Design Exploration in a Collaborative Environment - A study case of versioning for parametric design
doi	https://doi.org/10.52842/conf.caadria.2021.2.131
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 131-140
summary	Although parametric modelling and digital design tools have become ubiquitous in digital design, there is a limited understanding of how designers apply them in their design processes (Yu et al., 2014). This paper looks at the use of GHShot versioning tool developed by the authors (Cristie & Joyce, 2018; 2019) used to capture and track changes and progression of parametric models to understand early-stage design exploration and collaboration empirically. We introduce both development history graph-based metrics (macro-process) and parametric model and geometry change metric (micro-process) as frameworks to explore and understand the captured progression data. These metrics, applied to data collected from three cohorts of classroom collaborative design exercises, exhibited students' distinct modification patterns such as major and complex creation processes or minor parameter explorations. Finally, with the metrics' applicability as an objective language to describe the (collaborative) design process, we recommend using versioning for more data-driven insight into parametric design exploration processes.
keywords	Design exploration; parametric design; history recording; version control; collaborative design
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2021_262
id	caadria2021_262
authors	Olthof, Owen, Globa, Anastasia and Stracchi, Paolo
year	2021
title	SISTEMA NERVI - Sustainable Production of Optimised Floor Slabs Through Digital Fabrication
doi	https://doi.org/10.52842/conf.caadria.2021.1.723
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 723-732
summary	'Sistema Nervi' (the Nervi System) invented by Pier Luigi Nervi greatly economised the production of complex concrete forms optimised in both material usage and structurally. However it did not translate well into other contexts due to labour and material considerations (Leslie, 2018). This paper explores novel methodologies of producing optimised floor slabs and concrete structures, using digital fabrication techniques, focusing on both labour economisation and sustainability principles. A module from the Australia Square lobby slab has been used as the set geometry and was reproduced using differing techniques of fabrication for a comparative study. The study was conducted at scale (1:20). The viability for production at full scale (1:1) for manufacturing is discussed. The assessment criteria for the tests are divided into four categories: Cost, Time, Performance, and Sustainability. 3D printing of PLA plastic and ceramic clay extrusion printing has been used to produce removable or degradable formworks. These technologies have been selected due to their current market availability and associated costs. This study hopes to introduce improved methodologies for producing optimized concrete forms, as well as the sustainability potentials of a degradable formwork such as ceramic clay. Both systems were ultimately able to produce workable formworks for optimised shapes and showed promise for reducing labour involved as well as presenting with material sustainability for discussion.
keywords	Concrete formwork; Sustainability; Degradable formwork; Optimised concrete; Advanced fabrication
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	caadria2022_278
id	caadria2022_278
authors	Ortner, F. Peter and Tay, Jing Zhi
year	2022
title	Optimizing Design Circularity: Managing Complexity in Design for Circular Economy Through Single and Multi-Objective Optimisation
doi	https://doi.org/10.52842/conf.caadria.2022.1.191
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 191-200
summary	This paper advances the application of computational optimization to design for circular economy (CE) by comparing results of scalarized single-objective optimization (SOO) and multi-objective optimization (MOO) to a furniture design case study. A framework integrating both methods is put forward based on results of the case study. Existing design frameworks for CE emphasize optimization through an iterative process of manual assessment and redesign (Ellen MacArthur Foundation, 2015). Identifying good design solutions for CE, however, is a complex and time-consuming process. Most prominent CE design frameworks list at least nine objectives, several of which may conflict (Reike et al., 2018). Computational optimization responds to these challenges by automating search for best solutions and assisting the designer to identify and manage conflicting objectives. Given the many objectives outlined in circular design frameworks, computational optimisation would appear a priori to be an appropriate method. While results presented in this paper show that scalarized SOO is ultimately more time-efficient for evaluating CE design problems, we suggest that given the presence of conflicting circular design objectives, pareto-set visualization via MOO can initially better support designers to identify preferences.
keywords	Design for Circular Economy, Computational Optimisation, Sustainability, Design Optimisation, SDG 11, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

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