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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	caadria2022_44
id	caadria2022_44
authors	Shao, Tong, Wang, Likai and Ji, Guohua
year	2022
title	Climate-Driven Architectural Design Optimization and Exploration, A Reverse Passive Building Design Approach
doi	https://doi.org/10.52842/conf.caadria.2022.2.699
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 699-708
summary	This paper presents a reverse passive building design approach for sustainable architectural design based on the use of performance-based design optimization. The approach considers building massing and orientation, both of which are of great importance in passive building design, and combines the two factors in a design generation and optimization workflow in Rhino-Grasshopper. A case study based on SDE4 building in Singapore is conducted to demonstrate its capability of providing solutions and information about the trade-offs and interrelation between building massing and orientation with respect to the consideration of passive cooling and natural daylighting. The result shows that the approach can systematically explore a variety of building massing designs with different orientations and identify high-performing designs that outperform the existing one regarding the two performance objectives. The paper concludes by discussing its relevance in connecting performance-based design optimization research and architecture professionals.
keywords	passive design, performance-based design, building massing, orientation, design optimization, EvoMass, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	cdrf2022_466
id	cdrf2022_466
authors	Yiping Meng, Yiming Sun, and Wen-Shao Chang
year	2022
title	Morphology of Free-Form Timber Structure Determination by LSTM Oriented by Robotic Fabrication
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_40
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	Robotic arms are increasingly being used as an automation tool in non-standardized fabrication and construction, while the mechanical characteristics can also impact the accomplishment or the accuracy of the components. Timber is regularly used in different scales of a non-standard free-form structure fabricated by the robotic arm. The anisotropic mechanical characteristics of timber constrain the structural morphology. Developing a method of determining the morphology that meets the technical restrictions of the robotic arm and the material properties of timber is the aim of this research. In this paper, taking Centre Pompidou-Metz as a geometric case, glue-laminated timber as the main construction material, LSTM is applied for predicting the shape of the element. The geometric data is transformed into the fabrication data to testify to the kinematic singularities. The limitation of the workspace is derived from the Monte-Carlo method based on the DH model of the robotic arm. The experimental results show that the proposed method is effective in predicting the curves that match the characteristics of timber materials and robotic fabrication constraints.
series	cdrf
email
last changed	2024/05/29 14:03

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