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 ijac201917105
id ijac201917105
authors Agkathidis, Asterios; Yorgos Berdos and André Brown
year 2019
title Active membranes: 3D printing of elastic fibre patterns on pre-stretched textiles
source International Journal of Architectural Computing vol. 17 - no. 1, 74-87
summary There has been a steady growth, over several decades, in the deployment of fabrics in architectural applications; both in terms of quantity and variety of application. More recently, three-dimensional printing and additive manufacturing have added to the palette of technologies that designers in architecture and related disciplines can call upon. Here, we report on research that brings those two technologies together – the development of active membrane elements and structures. We show how these active membranes have been achieved by laminating three-dimensional printed elasto-plastic fibres onto pre-stretched textile membranes. We report on a set of experimentations involving one-, two- and multi-directional geometric arrangements that take TPU 95 and polypropylene filaments and apply them to Lycra textile sheets, to form active composite panels. The process involves a parameterised design, actualised through a fabrication process including stress-line simulation, fibre pattern three-dimensional printing and the lamination of embossed patterns onto a pre-stretched membrane; followed by the release of tension afterwards in order to allow controlled, self-generation of the final geometry. Our findings document the investigation into mapping between the initial two-dimensional geometries and their resulting three-dimensional doubly curved forms. We also reflect on the products of the resulting, partly serendipitous, design process.
keywords Digital fabrication, three-dimensional printing, parametric design, material computation, fabrics
series journal
email
last changed 2019/08/07 14:04

_id caadria2019_388
id caadria2019_388
authors Beattie, Hamish, Brown, Daniel and Kindon, Sara
year 2019
title Functional Fiction to Collective Action - Values-Based Participatory Urban Design Gaming
doi https://doi.org/10.52842/conf.caadria.2019.1.737
source M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 737-746
summary This paper discusses the methodology and results of the Maslow's Palace workshops project, which engages with current debates surrounding the democratisation of digital urban design technology and stakeholder decision making, through the implementation of a speculative oriented approach to serious gaming. The research explores how serious games might be used to help marginalised communities consider past, future and present community experiences, reconcile dissimilar assumptions, generate social capital building and design responses and prime participants for further long term design engagement processes. Empirical material for this research was gathered from a range of case study workshops prepared with three landfill-based communities and external partners throughout 2017. Results show the approach helped participants develop shared norms, values and understandings of sensitive topics and develop ideas for future action through "collective tinkering".
keywords Participatory design; urban design; social capital; serious games; slum upgrading
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2019_459
id caadria2019_459
authors Behmanesh, Hossein and Brown, André G.P.
year 2019
title Classification and Review of Software Applications in the Context of Urban Design Processes
doi https://doi.org/10.52842/conf.caadria.2019.2.211
source M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 211-220
summary We have seen increasing expectations from our cities: as we aim to enable them to become smarter, more efficient and more sustainable. Having these goals makes the urban designing process increasingly complex. Undertaking contemporary urban design and analysis requires a rounded and inclusive approach. In the discussion relating to the smart city there has been attention to infrastructure technology solutions. But ways of estimating the success of more comprehensive urban design interventions is also extremely important. In response to these needs, digital urban design simulation and analysis software packages have been developed to help urban designers model and evaluate their designs before they take shape in the real world. We analyse, and reflect on the current aids available, classifying the urban design software packages which were used in the body of knowledge. In addition, more influential urban design software packages have been reviewed to figure out in which stages of the urban design process, they have applied. This review also helpful for software developer to understand which software packages more useful and which ones need to be developed in future.
keywords Smart city; Urban Design Process; software application; classification
series CAADRIA
email
last changed 2022/06/07 07:54

_id ijac201917106
id ijac201917106
authors Brown, Nathan C. and Caitlin T. Mueller
year 2019
title Design variable analysis and generation for performance-based parametric modeling in architecture
source International Journal of Architectural Computing vol. 17 - no. 1, 36-52
summary Many architectural designers recognize the potential of parametric models as a worthwhile approach to performance- driven design. A variety of performance simulations are now possible within computational design environments, and the framework of design space exploration allows users to generate and navigate various possibilities while considering both qualitative and quantitative feedback. At the same time, it can be difficult to formulate a parametric design space in a way that leads to compelling solutions and does not limit flexibility. This article proposes and tests the extension of machine learning and data analysis techniques to early problem setup in order to interrogate, modify, relate, transform, and automatically generate design variables for architectural investigations. Through analysis of two case studies involving structure and daylight, this article demonstrates initial workflows for determining variable importance, finding overall control sliders that relate directly to performance and automatically generating meaningful variables for specific typologies.
keywords Parametric design, design space formulation, data analysis, design variables, dimensionality reduction
series journal
email
last changed 2019/08/07 14:04

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