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	caadria2016_209
id	caadria2016_209
authors	Wang, Likai; Zilong Tan and Guohua Ji
year	2016
title	Toward the wind-related building performative design
doi	https://doi.org/10.52842/conf.caadria.2016.109
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 109-218
summary	The integration of optimization algorithms and building performance simulation tools make it possible to carry out performa- tive design or performance-driven design, which aims to guide the de- sign synthesis process of the simulation results to continuously im- prove the design. However, the associated research work of wind- related building performance is still deficient, resulting from lack of applicable interface and the time consumption. Meanwhile, in the in- dustrial design realm, the aero-dynamics or fluid-dynamics behaviour of the production under development has been vastly analysed and op- timized based on the multi-discipline optimization (MDO) techniques. Owing to offering numerous built-in interface and integrated optimi- zation algorithm, MDO application software has begun to be used in building optimization design with the complex relationship between various objectives. With the advantage of MDO tools and aimed to provide an efficient optimization approach from the perspective of ar- chitect, this paper proposes a wind-related building performance op- timization design system integrating Rhinoceros and Fluent based on iSIGHT - a MDO application software. In addition, the lighting per- formance is considered in this research as well for implementing the multi-objective optimization. Two case studies of tall building optimi- zation design based on varied generative approaches are introduced to investigate the effect and efficiency of this system.
keywords	Performative design; wind-related building performance; MDO; parametric generating design
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	acadia23_v3_39
id	acadia23_v3_39
authors	Goti, Kyriaki; A. Scelsa, Jonathan; Rossi, Natalia; Wang, Wei; Palaci, Arthur
year	2023
title	Bric(k)olage: Spoliated Masonry C+D Waste
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 3: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-1-0]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 24-32.
summary	The 2016 US Environmental Protection Agency reported that 23.1 million tons of broken pieces of concrete waste are annually discarded from new construction sites (EPA -2) and in example states in the north american context only 6.6% of C&D concrete is recycled; the rest is thrown out in landfills as it is labeled “contaminated or too hard to process on a large scale.” (CT DOE 25) Relatively little investigation has occurred in how this material could reappear in the architectural project that might honor its intrinsic broken quality as a part of its materiality within a life-cycle of continual usage. This project speaks towards a problematic Habit of the Anthropocene in how we construct buildings placing intrinsic cultural value on new parts over the broken and old due to economic efficiencies.
series	ACADIA
type	field note
email
last changed	2024/04/17 13:59

_id	caadria2024_186
id	caadria2024_186
authors	Huang, Jingfei and Tu, Han
year	2024
title	Inconsistent Affective Reaction: Sentiment of Perception and Opinion in Urban Environments
doi	https://doi.org/10.52842/conf.caadria.2024.2.395
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 395–404
summary	The ascension of social media platforms has transformed our understanding of urban environments, giving rise to nuanced variations in sentiment reaction embedded within human perception and opinion, and challenging existing multidimensional sentiment analysis approaches in urban studies. This study presents novel methodologies for identifying and elucidating sentiment inconsistency, constructing a dataset encompassing 140,750 Baidu and Tencent Street view images to measure perceptions, and 984,024 Weibo social media text posts to measure opinions. A reaction index is developed, integrating object detection and natural language processing techniques to classify sentiment in Beijing Second Ring for 2016 and 2022. Classified sentiment reaction is analysed and visualized using regression analysis, image segmentation, and word frequency based on land-use distribution to discern underlying factors. The perception affective reaction trend map reveals a shift toward more evenly distributed positive sentiment, while the opinion affective reaction trend map shows more extreme changes. Our mismatch map indicates significant disparities between the sentiments of human perception and opinion of urban areas over the years. Changes in sentiment reactions have significant relationships with elements such as dense buildings and pedestrian presence. Our inconsistent maps present perception and opinion sentiments before and after the pandemic and offer potential explanations and directions for environmental management, in formulating strategies for urban renewal.
keywords	Urban Sentiment, Affective Reaction, Social Media, Machine Learning, Urban Data, Image Segmentation.
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	acadia16_290
id	acadia16_290
authors	Wang, Adam; Ahlquist, Sean
year	2016
title	Pneumatic Textile System
doi	https://doi.org/10.52842/conf.acadia.2016.290
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 290-297
summary	This paper attempts to demonstrate a seamless transformable material system through an interdependent designed assembly of two materials with different material properties (anisotropic knit textile and isotropic silicone) but similar behaviors (stretch). The transformable system is achieved by balancing the volumetric expansion through a silicone tube, under inflation, with the controlled resistance to stretch by a custom knit fabric. The use of a CNC knitting machine allows not only an opportunity to program the stretch behavior of a knit fabric, by controlling the amount of yarn material to be deposited, but also an ability to knit multiple layers of fabric simultaneously, in order to create a space capable of accommodating an external element seamlessly. The paper will showcase a series of experiments ranging from the initial search for compatible material combinations to the varied structures of the tube sleeve and its relationship with surrounding region. The final prototype attempts to utilize the various behavioral properties of the material system learned from the experiments to create a transformable three-dimensional structure.
keywords	fabric, knit, cnc knitting, pneumatic textile, embedded responsiveness
series	ACADIA
type	paper
email
last changed	2022/06/07 07:58

_id	acadia16_298
id	acadia16_298
authors	Yu, Lei; Huang, Yijiang; Zhongyuan, Liu; Xiao, Sai; Liu, Ligang; Song, Guoxian; Wang, Yanxin
year	2016
title	Highly Informed Robotic 3D Printed Polygon Mesh: A Nobel Strategy of 3D Spatial Printing
doi	https://doi.org/10.52842/conf.acadia.2016.298
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 298-307
summary	Though robotic 3D printing technology is currently undergoing rapid development, most of the research and experiments are still based on a bottom up layering process. This paper addresses long term research into a robotic 3D printed polygon mesh whose struts are directly built up and joined together as rapidly generated physical wireframes. This paper presents a novel “multi-threaded” robotic extruder, as well as a technical strategy to create a “printable” polygon mesh that is collision-free during robotic operation. Compared to standard 3D printing, architectural applications demand much larger dimensions at human scale, geometrically lower resolution and faster production speed. Taking these features into consideration, 3D printed frameworks have huge potential in the building industry by combining robot arm technology together with FDM 3D printing technology. Currently, this methodology of rapid prototyping could potentially be applied on pre-fabricated building components, especially ones with uniform parabolic features. Owing to the mechanical features of the robot arm, the most crucial challenge of this research is the consistency of non-stop automated control. Here, an algorithm is employed not only to predict and solve problems, but also to optimize for a highly efficient construction process in coordination of the robotic 3D printing system. Since every stroke of the wireframe contains many parameters and calculations in order to reflect its native organization and structure, this robotic 3D printing process requires processing an intensive amount of data in the back stage.
keywords	interdisciplinary design, craft in design computation, digital fabrication
series	ACADIA
type	paper
email
last changed	2022/06/07 07:57

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