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	acadia16_460
id	acadia16_460
authors	Dade-Robertson, Martyn; Corral, Javier Rodriguez; Mitrana, Helen; Zhang, Meng; Wipat, Anil; Ramirez-Figueroa, Carolina; Hernan, Luis
year	2016
title	Thinking Soils: A synthetic biology approach to material-based design computation
doi	https://doi.org/10.52842/conf.acadia.2016.460
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. 460-469
summary	The paper details the computational modelling work to define a new type of responsive material system based on genetically engineered bacteria cells. We introduce the discipline of synthetic biology and show how it may be possible to program a cell to respond genetically to inputs from its environment. We propose a system of synthetic biocementing, where engineered cells, living within a soil matrix, respond to pore pressure changes in their environment when the soil is loaded by synthesising new material and strengthening the soil. We develop a prototype CAD system which maps genetic responses of individual bacteria cells to geotechnical models of stress and pore pressure. We show different gene promoter sensitivities may make substantial changes to patterns of consolidation. We conclude by indicating future research in this area which combines both in vivo and in silico work.
keywords	intelligent materials, material based design computation, synthetic biology, embedded responsiveness
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

_id	caadria2016_229
id	caadria2016_229
authors	Liu, Yuezhong; Rudi Stouffs, Abel Tablada, Nyuk Hien Wong and Ji Zhang
year	2016
title	Micro-scale weather data for energy performance assessment in Singapore
doi	https://doi.org/10.52842/conf.caadria.2016.229
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. 229-238
summary	Weather data plays an important role for energy perfor- mance assessment in the design of buildings and urban environments. Many researches have been carried out to generate and analyse vari- ous weather files for different simulation platforms. However, investi- gations have been lacking in the development of weather files that ac- count for urban heat island (UHI) problems. As a result of global warming and the complexity of the urban environment, the weather file for a modern city cannot be simply based on climate information from 20 years ago. The objective of this research is to demonstrate a method for creating different micro-scale typical meteorological year (TMY) weather files based on different urban texture values. This re- search includes three steps: 1) Recent years weather data is obtained. 2) Considering the UHI impact, a series of new TMY weather files are generated for different micro-scale areas in Singapore based on rele- vant urban texture variables. 3) A comparison of the results shows that there is a big difference between the new and the old TMY. The tem- perature of the new TMY is 1-2°C higher, while the solar radiation is lower than the original TMY data. Hence the new weather files will be more credible than the original TMY for energy performance simula- tion in the design process.
keywords	TMY; UHI; Sandia method; energy performance
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	acadia16_140
id	acadia16_140
authors	Nejur, Andrei; Steinfeld, Kyle
year	2016
title	Ivy: Bringing a Weighted-Mesh Representations to Bear on Generative Architectural Design Applications
doi	https://doi.org/10.52842/conf.acadia.2016.140
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. 140-151
summary	Mesh segmentation has become an important and well-researched topic in computational geometry in recent years (Agathos et al. 2008). As a result, a number of new approaches have been developed that have led to innovations in a diverse set of problems in computer graphics (CG) (Sharmir 2008). Specifically, a range of effective methods for the division of a mesh have recently been proposed, including by K-means (Shlafman et al. 2002), graph cuts (Golovinskiy and Funkhouser 2008; Katz and Tal 2003), hierarchical clustering (Garland et al. 2001; Gelfand and Guibas 2004; Golovinskiy and Funkhouser 2008), primitive fitting (Athene et al. 2004), random walks (Lai et al.), core extraction (Katz et al.) tubular multi-scale analysis (Mortara et al. 2004), spectral clustering (Liu and Zhang 2004), and critical point analysis (Lin et al. 20070, all of which depend upon a weighted graph representation, typically the dual of a given mesh (Sharmir 2008). While these approaches have been proven effective within the narrowly defined domains of application for which they have been developed (Chen 2009), they have not been brought to bear on wider classes of problems in fields outside of CG, specifically on problems relevant to generative architectural design. Given the widespread use of meshes and the utility of segmentation in GAD, by surveying the relevant and recently matured approaches to mesh segmentation in CG that share a common representation of the mesh dual, this paper identifies and takes steps to address a heretofore unrealized transfer of technology that would resolve a missed opportunity for both subject areas. Meshes are often employed by architectural designers for purposes that are distinct from and present a unique set of requirements in relation to similar applications that have enjoyed more focused study in computer science. This paper presents a survey of similar applications, including thin-sheet fabrication (Mitani and Suzuki 2004), rendering optimization (Garland et al. 2001), 3D mesh compression (Taubin et al. 1998), morphin (Shapira et al. 2008) and mesh simplification (Kalvin and Taylor 1996), and distinguish the requirements of these applications from those presented by GAD, including non-refinement in advance of the constraining of mesh geometry to planar-quad faces, and the ability to address a diversity of mesh features that may or may not be preserved. Following this survey of existing approaches and unmet needs, the authors assert that if a generalized framework for working with graph representations of meshes is developed, allowing for the interactive adjustment of edge weights, then the recent developments in mesh segmentation may be better brought to bear on GAD problems. This paper presents work toward the development of just such a framework, implemented as a plug-in for the visual programming environment Grasshopper.
keywords	tool-building, design simulation, fabrication, computation, megalith
series	ACADIA
type	paper
email
last changed	2022/06/07 07:58

_id	acadia16_326
id	acadia16_326
authors	Wit, Andrew; Ng, Rashida; Zhang, Cheng; Kim Simon
year	2016
title	Composite Systems for Lightweight Architectures: Case studies in large-scale CFRP winding
doi	https://doi.org/10.52842/conf.acadia.2016.326
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. 326-331
summary	The introduction of lightweight Carbon Fiber Reinforced Polymer (CFRP) based systems into the discipline of architecture and design has created new opportunities for form, fabrication methodologies and material efficiencies that were previously difficult if not impossible to achieve through the utilization of traditional standardized building materials. No longer constrained by predefined material shapes, nominal dimensions, and conventional construction techniques, individual building components or entire structures can now be fabricated from a single continuous material through a means that best accomplishes the desired formal and structural objectives while creating minimal amounts of construction waste and disposable formwork. This paper investigates the design, fabrication and structural potentials of wound, pre-impregnated CFRP composites in architectural-scale applications through the lens of numeric and craft based composite winding implemented in two unique research projects (rolyPOLY + Cloud Magnet). Fitting into the larger research agenda for the CFRP-based robotic housing prototype currently underway in the “One Day House” initiative, these two projects also function as a proof of concept for CFRP monocoque and gridshell based structural systems. Through a rigorous investigation of these case studies, this paper strives to answer several questions about the integration of pre-impregnated CFRP in future full-scale interventions: What form-finding methodologies lend themselves to working with CFRP? What are the advantages and disadvantages of working with pre-impregnated CFRP tow in large-scale applications? What are efficient methods for the placement of CFRP fiber on-site? As well as how scalable is CFRP?
keywords	form finding, winding, cfrp, embedded responsiveness
series	ACADIA
type	paper
email
last changed	2022/06/07 07:57

_id	acadia20_238
id	acadia20_238
authors	Zhang, Hang
year	2020
title	Text-to-Form
doi	https://doi.org/10.52842/conf.acadia.2020.1.238
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. 238-247.
summary	Traditionally, architects express their thoughts on the design of 3D architectural forms via perspective renderings and standardized 2D drawings. However, as architectural design is always multidimensional and intricate, it is difficult to make others understand the design intention, concrete form, and even spatial layout through simple language descriptions. Benefiting from the fast development of machine learning, especially natural language processing and convolutional neural networks, this paper proposes a Linguistics-based Architectural Form Generative Model (LAFGM) that could be trained to make 3D architectural form predictions based simply on language input. Several related works exist that focus on learning text-to-image generation, while others have taken a further step by generating simple shapes from the descriptions. However, the text parsing and output of these works still remain either at the 2D stage or confined to a single geometry. On the basis of these works, this paper used both Stanford Scene Graph Parser (Sebastian et al. 2015) and graph convolutional networks (Kipf and Welling 2016) to compile the analytic semantic structure for the input texts, then generated the 3D architectural form expressed by the language descriptions, which is also aided by several optimization algorithms. To a certain extent, the training results approached the 3D form intended in the textual description, not only indicating the tremendous potential of LAFGM from linguistic input to 3D architectural form, but also innovating design expression and communication regarding 3D spatial information.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2016_033
id	caadria2016_033
authors	Zhang, Yingyi and Marc Aurel Schnabel
year	2016
title	Form-Based Code in Parametric Modelling for Continuous Urban Design
doi	https://doi.org/10.52842/conf.caadria.2016.033
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. 33-42
summary	This paper analyses parametric modelling in connection with the Form-based Code (FBC) methodology to support continuous design in an urban scale. FBC is an approach to optimize conventional zoning regulations and has been implemented by a number of cities. Akin to a utopian urban design solution, we argue that the FBC is cru- cial to develop main objectives, characteristics, trends and impacts in a design process systematically and logically. Zoning emphasizes ex- cessively on land use and intensity control, however, FBC promotes to (re-)create and predict urban-rural environments through controlling forms. FBC is developing and offers opportunities for flexible coding processes, adjustment of density and seamless public participation. Parametric modelling, being rule based, is a significant step towards a continuous urban design creating a mechanism for FBC. This paper presents a framework to connect parametric modelling with FBC pro- cesses, and how parametric modelling methodologies allow the form- based coding processes to be more impeccable hence being more ap- propriate in the process of continuous design flow.
keywords	Form-based code; continuous urban design; parametric modelling; utopian design solution
series	CAADRIA
email
last changed	2022/06/07 07:57

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