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 ecaadesigradi2019_204
id ecaadesigradi2019_204
authors Castro, Rúben and Beir?o, José Nuno
year 2019
title Shape Grammars as a support instrument for heritage safeguard planning - From a vernacular language to a contemporary materialization
doi https://doi.org/10.52842/conf.ecaade.2019.2.377
source Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 377-384
summary In this project we used the concept of shape grammars as a tool for understanding the vernacular heritage in the Moorish village of Aljezur in the South of Portugal, and subsequently use it to guide the planning rehabilitation and growth of the village. First, we inferred a grammar for describing the existent vernacular heritage, and based on it developed two other grammars suitable for the rehabilitation of pre-existences and the construction of new houses involving features that can harmoniously mingle with the heritage surroundings. This paper supports the use of shape grammars for the development of heritage safeguard strategies in historical urban agglomerates.
keywords Shape Grammars; parametric; architectural heritage; safeguard; planning
series eCAADeSIGraDi
email
last changed 2022/06/07 07:55

_id ecaade2023_227
id ecaade2023_227
authors Moorhouse, Jon and Freeman, Tim
year 2023
title Towards a Genome for Zero Carbon Retrofit of UK Housing
doi https://doi.org/10.52842/conf.ecaade.2023.2.197
source Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 197–206
summary The United Kingdom has some of the worst insulated housing stock in Northern Europe. This is in part due to the age of housing in the UK, with over 90% being built before 1990 [McCrone 2017, Piddington 2020]. Moreover, 85% of current UK housing will still be in use in 2050 by which stage their Government are targeting Net Carbon Zero [Eyre 2019]. Domestic energy use accounts for around 25% of UK carbon emissions. The UK will need to retrofit 20 million dwellings in order to meet this target. If this delivery were evenly spread, it would equate to over 2,000 retrofit completions each day. Government-funded initiatives are stimulating the market, with upwards of 60,000 social housing retrofits planned for 2023, but it is clear that a system must be developed to enable the design and implementation of housing-stock improvement at a large scale.This paper charts the 20-year development of a digital approach to the design for low-carbon domestic retrofit by architects Constructive Thinking Studio Limited and thence documents the emergence of a collaborative approach to retrofit patterns on a National scale. The author has led the Research and Development stream of this practice, developing a Building Information Modelling methodology and integrated Energy Modelling techniques to optimise design for housing retrofit [Georgiadou 2019, Ben 2020], and then inform a growing palette of details and a database of validated solutions [Moorhouse 2013] that can grow and be used to predict options for future projects [D’Angelo 2022]. The data is augmented by monitoring energy and environmental performance, enabling a growing body of knowledge that can be aligned with existing big data to simulate the benefits of nationwide stock improvement. The paper outlines incremental case studies and collaborative methods pivotal in developing this work The proposed outcome of the work is a Retrofit Genome that is available at a national level.
keywords Retrofit, Housing, Zero-Carbon, BIM, Big Data, Design Genome
series eCAADe
email
last changed 2023/12/10 10:49

_id caadria2019_464
id caadria2019_464
authors Scott, Sophie, Doherty, Ben, Fabbri, Alessandra, Gardner, Nicole and Haeusler, M. Hank
year 2019
title Discoverable Desks - Finding location and orientation in a mobile workplace
doi https://doi.org/10.52842/conf.caadria.2019.2.653
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. 653-662
summary The drive towards increasing productivity through collaborative ways of working has spurred a parallel trend in flexible and adaptable workplace environments. Mobile desks are one feasible solution to this but workplaces that adopt mobile desks risk creating spatial inefficiencies. These range from overcrowding or underutilization, to potential compliance issues in terms of fire egress requirements and health and safety regulations. While there is a need to understand mobile desking configurations there are currently no well-established ways to track the location and orientation of mobile desks within workplaces. Consequently, this paper describes a research project that adopts an action research methodology as an iterative and participatory framework to investigate and develop a unique method for capturing the location and orientation of freely moveable desks in an open workplace environment. This uses an ensemble of Bluetooth location beacons and computer vision techniques to provide a finer resolution than either method alone can currently provide. The demonstration of this ensemble method is the main contribution of this work. This paper demonstrates that combining these methods can enhance the advantages of each; computer vision gives higher resolution and beacons reduce the scope of the image search task
keywords Indoor Positioning Systems; Office Space Planning; Location Data; Computer vision; activity-based working
series CAADRIA
email
last changed 2022/06/07 07:56

_id acadia19_30
id acadia19_30
authors Varshney, Ishaan; Doherty, Ben
year 2019
title A Plane of Thrones
doi https://doi.org/10.52842/conf.acadia.2019.030
source ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 30-39
summary Creating workplace seating plans is currently a laborious task carried out based on intuition with potentially suboptimal outcomes. A data informed seating plan generator could see an increase in organizational success metrics. In this paper, we present a modular framework for using a social network, a spatial network, and an organization objective to generate data-informed seating plans for a design firm. In addition, an open-source tool was created to allow individuals in an organization to evaluate prospective arrangements. This implementation gave employees more agency by informing their seating decisions as well as the ability to better inform their intuitions about seating arrangements.
series ACADIA
type normal paper
email
last changed 2022/06/07 07:58

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