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 ecaade2020_520
id ecaade2020_520
authors Nguyen, Binh Vinh Duc (Alex), Vande Moere, Andrew and Achten, Henri
year 2020
title How to Explore the Architectural Qualities of Interactive Architecture - Virtual or physical or both?
doi https://doi.org/10.52842/conf.ecaade.2020.2.219
source Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 219-231
summary While the theoretical possibilities and implications of interactive architecture are promising, much still is unknown how these can be practically translated towards purposeful deployments. To understand the true dynamic qualities of interactive architecture, the only method is experiencing its hedonic qualities firsthand. To this end, working prototypes need to be realised and their actual impact measured. In this paper, we compare two potential experimental strategies for interactive architecture prototype evaluation, as we benchmark the conceptual, technological and methodological differences between a life-size, physical prototype and an immersive virtual reality simulation. By presenting the preliminary findings of each strategy, we discuss how their unique strengths and weaknesses could complement each other in future research endeavours.
keywords interactive architecture; physical prototyping; virtual reality prototyping; human-building interaction
series eCAADe
email
last changed 2022/06/07 07:58

_id acadia20_574
id acadia20_574
authors Nguyen, John; Peters, Brady
year 2020
title Computational Fluid Dynamics in Building Design Practice
doi https://doi.org/10.52842/conf.acadia.2020.1.574
source ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 574-583.
summary This paper provides a state-of-the-art of computational fluid dynamics (CFD) in the building industry. Two methods were used to find this new knowledge: a series of interviews with leading architecture, engineering, and software professionals; and a series of tests in which CFD software was evaluated using comparable criteria. The paper reports findings in technology, workflows, projects, current unmet needs, and future directions. In buildings, airflow is fundamental for heating and cooling, as well as occupant comfort and productivity. Despite its importance, the design of airflow systems is outside the realm of much of architectural design practice; but with advances in digital tools, it is now possible for architects to integrate air flow into their building design workflows (Peters and Peters 2018). As Chen (2009) states, “In order to regulate the indoor air parameters, it is essential to have suitable tools to predict ventilation performance in buildings.” By enabling scientific data to be conveyed in a visual process that provides useful analytical information to designers (Hartog and Koutamanis 2000), computer performance simulations have opened up new territories for design “by introducing environments in which we can manipulate and observe” (Kaijima et al. 2013). Beyond comfort and productivity, in recent months it has emerged that air flow may also be a matter of life and death. With the current global pandemic of SARS-CoV-2, it is indoor environments where infections most often happen (Qian et al. 2020). To design architecture in a post-COVID-19 environment will require an in-depth understanding of how air flows through space.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

_id cdrf2019_265
id cdrf2019_265
authors Yue Qi, Ruqing Zhong, Benjamin Kaiser, Long Nguyen,Hans Jakob Wagner, Alexander Verl, and Achim Menges
year 2020
title Working with Uncertainties: An Adaptive Fabrication Workflow for Bamboo Structures
doi https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_25
source Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary This paper presents and investigates a cyber-physical fabrication work-flow, which can respond to the deviations between built- and designed form in realtime with vision augmentation. We apply this method for large scale structures built from natural bamboo poles. Raw bamboo poles obtain evolutionarily optimized fibrous layouts ideally suitable for lightweight and sustainable building construction. Nevertheless, their intrinsically imprecise geometries pose a challenge for reliable, automated construction processes. Despite recent digital advancements, building with bamboo poles is still a labor-intensive task and restricted to building typologies where accuracy is of minor importance. The integration of structural bamboo poles with other building layers is often limited by tolerance issues at the interfaces, especially for large scale structures where deviations accumulate incrementally. To address these challenges, an adaptive fabrication process is developed, in which existing deviations can be compensated by changing the geometry of subsequent joints to iteratively correct the pose of further elements. A vision-based sensing system is employed to three-dimensionally scan the bamboo elements before and during construction. Computer vision algorithms are used to process and interpret the sensory data. The updated conditions are streamed to the computational model which computes tailor-made bending stiff joint geometries that can then be directly fabricated on-the-fly. In this paper, we contextualize our research and investigate the performance domains of the proposed workflow through initial fabrication tests. Several application scenarios are further proposed for full scale vision-augmented bamboo construction systems.
series cdrf
email
last changed 2022/09/29 07:51

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