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 caadria2020_032
id caadria2020_032
authors Gu, Zhuoxing and Yang, Chunxia
year 2020
title Generation of Public Space Structure Based on Digital Multi-agent System - Taking the interaction between self-consensus "Stigmergy" particles and the old city area as an example
doi https://doi.org/10.52842/conf.caadria.2020.1.285
source D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 285-294
summary In the study, the ant colony behavior was simulated to establish a parametric multi-agent system with independent consensus "Stigmergy" for interaction with the site. In the experiment, the initial points of the particles correspond to the key historical buildings, and the target points correspond to the important public space nodes. Edit and adjust the motion characteristics, search features, generation and disappearance characteristics of the simulated particles to obtain the main consensus particle swarm distribution and the distributed consensus particle swarm distribution. This form has a compliant or conflicting relationship with the existing urban environment. Using the contours of the self-consensus spatial form, the particle swarm density, and the pointing relationship between the particles and the building can provide a basis for the transformation and renewal of the existing urban environment, thus forming a spatial transformation strategy that more closely matches the user behavior in the space.
keywords Multi-agent system; Particle property construction; Stigmergy; Self-consensus particles; Public space structure
series CAADRIA
email
last changed 2022/06/07 07:51

_id ecaade2020_181
id ecaade2020_181
authors Soltani, Sahar, Dias Guimaraes, Gabriela, Liao, Pan, Calixto, Victor and Gu, Ning
year 2020
title Computational Design Sustainability: A Conceptual Framework for Built Environment Research
doi https://doi.org/10.52842/conf.ecaade.2020.1.219
source Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 219-228
summary This paper presents and demonstrates a "Computational Design Sustainability" (CDS) framework, inspired by "Computational Sustainability" (CS), which is a new area in computational research (C. Gomes & Yang, 2011). CS aims to apply techniques from computer science to address sustainability problems affecting a wide range of fields from environmental sciences to social studies. While CS has been broadly embraced in environmental science, the great potential of this concept to address grand challenges and solve complex problems seems to have not been adequately explored in the built environment domain. Therefore, this paper attempts to formally investigate the application of CS in built environment research addressing different scales of design problems with computational design through proposing the new concept of CDS . These approaches are demonstrated and evaluated through a range of projects collectively conducted by the research team. CDS proposes to advance computational deign research by creating a trade-off between pillars of sustainability in an integrated multifaceted and multidisciplinary approach. The presented conceptual framework provides a formal means to critically understand and further advance these approaches in a systematic way suitable for future development and broader application.
keywords Computational Design Sustainability; Computational Sustainability; Computational Design; Sustainable Development; Built Environment Research
series eCAADe
email
last changed 2022/06/07 07:56

_id ecaade2020_030
id ecaade2020_030
authors Song, Yang
year 2020
title BloomShell - Augmented Reality for the assembly and real-time modification of complex curved structure
doi https://doi.org/10.52842/conf.ecaade.2020.1.345
source Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 345-354
summary Augmented Reality (AR) as a new technical tool has developed rapidly in the last few years and has now the potential of bridging the gap between holographic drawings and the real world. This paper addresses whether AR can guide unskilled labour on complex structure assembly and fabrication process. It contains three experiments developed with AR. The research aims to prove that with intuitive holographic instructions, AR helps to reduce the time spent in comparing 2D drawings to the real site during the assembly process, and therefore offers possibilities to improve the construction efficiency significantly. The research also paves the way for shell structures, considering the latest technology such as AR and AI, and gives emphasis on the communication between computer and human during the fabrication process through the physical model. It is an exploration of how people might change their mind or decisions can be changed in a real-time manner harmoniously using AI through AR.
keywords Augmented Reality; complex curved structure assembly; real-time modification; holographic instruction; HoloLens; Artificial Intelligence
series eCAADe
email
last changed 2022/06/07 07:56

_id caadria2020_094
id caadria2020_094
authors Yang, Chunxia and Gu, Zhuoxing
year 2020
title Optimization of Public Space Design Based on Reconstruction of Digital Multi-Agent Behavior - --Taking the public space of the North Bund in Shanghai as an example
doi https://doi.org/10.52842/conf.caadria.2020.1.335
source D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 335-344
summary This paper uses the digital software platform to build an intelligent multi-agent system. Through the classification of site elements, the Shanghai North Bund waterfront public space elements are classified into different systems such as transportation hub facilities, catering facilities, shopping facilities and leisure venues. The main population activities in this area are classified into different activities such as youth activities, elderly activities, and family activities through user behavior classification. Finally, the intelligent multi-agent particle swarm is built by the dynamic simulation component of grasshopper, and its individual behavior rules and group interaction rules are adjusted to form the crowd moving particle flow. The particle flow interacts with the classified site elements to derive a distribution pattern of population activity in different systems. Particle flow data information and particle distribution patterns after interactive simulation can be the support for urban design evaluation and optimization.
keywords Self-organizing system; Multi-agent system; Particle property construction; Urban design elements; Waterfront public space
series CAADRIA
email
last changed 2022/06/07 07:57

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