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	ijac202119302
id	ijac202119302
authors	BuHamdan, Samer; Alwisy, Aladdin; Bouferguene, Ahmed
year	2021
title	Generative systems in the architecture, engineering and construction industry: A systematic review and analysis
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 3, 226–249
summary	Researchers have been extensively exploring the employment of generative systems to support design practices in the architecture, engineering and construction industry since the 1970s. More than half a century passed since the first architecture, engineering and construction industry’s generative systems were developed; researchers have achieved remarkable leaps backed by advances in computing power and algorithms’ capacity. In this article, we present a systematic analysis of the literature published between 2009 and 2019 on the utilization of generative systems in the design practices of the architecture, engineering and construction industry. The present research studies present trends, collaborations and applications of generative systems in the architecture, engineering and construction industry in order to identify existing shortcomings and potential advancements that balance the need for theory development and practical application. It provides insightful observations that are translated into meaningful recommendations for future research necessary to progress the incorporation of generative systems into the design practices of the architecture, engineering and construction industry.
keywords	Generative systems, architecture, engineering and construction industry, performative design, generative design, systematic literature review, future directions
series	journal
email
last changed	2024/04/17 14:29

_id	acadia19_208
id	acadia19_208
authors	Baghi, Ali; Baghi, Aryan; Kalantari, Saleh
year	2019
title	FLEXI-NODE
doi	https://doi.org/10.52842/conf.acadia.2019.207
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 207-218
summary	This paper is part of an ongoing research project on flexible molds for use in concrete fabrication. It continues and advances the concept of adjustable molds by creating a flexible system to produce a variety of concrete grid-joints. This reusable and adaptive mold streamlines the process of fabricating inherently diverse nodal joints without the need for cost-intensive mass-customization methods. The paper also proposes a novel way to cope with some of the significant drawbacks of similar mold techniques that have been explored and found wanting in similar projects. The technique used for the mold in the current research is inspired by a flexible mechanism that has been implemented in other manufacturing contexts, such as expansion joints and bendable straws. The outcomes of the project are a platform called “Flexi-node” and relevant software components that allow users to computationally design and fabricate a great variety of concrete joints for grid structures, using just one mold, with minimum material waste and no distortion from hydrostatic pressure.
keywords	flexible molds, nodal joints, computational design, concrete fabrication, mass customization, grid structures
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_407
id	ecaadesigradi2019_407
authors	Capone, Mara, Lanzara, Emanuela, Marsillo, Laura and Nome Silva, Carlos Alejandro
year	2019
title	Responsive complex surfaces manufacturing using origami
doi	https://doi.org/10.52842/conf.ecaade.2019.2.715
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 715-724
summary	Contemporary architecture is considered a dynamic system, capable of adapting to different needs, from environmental to functional ones. The term 'Adaptable Architecture' describes an architecture from which specific components can be changed in relation to external stimuli. This change could be executed by the building system itself, transformed manually or it could be any other ability to be transformed by external forces (Leliveld et al.2017). Adaptability concept is therefore linked to motion and to recent advances in kinetic architecture. In our research we are studying the rules that we can use to design a kinetic architecture using origami. Parametric design allows us to digitally simulate the movement of origami structures, we are testing algorithmic modeling to generate doubly curvature surfaces starting from a designed surface and not from the process. Our main goal is to study the relationship between geometry, motion and shape. We are interested, in particular, in complex surface manufacture using origami technique to design a kinetic and reactive ceiling.
keywords	Origami; complex surface manufacture; responsive architecture; Applied Geometry
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	acadia19_90
id	acadia19_90
authors	Forward, Kristen; Taron, Joshua
year	2019
title	Waste Ornament
doi	https://doi.org/10.52842/conf.acadia.2019.090
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 90-99
summary	The emergence of computational design and fabrication tools has escalated the potentials of architectural ornamentation to become innovative, beautiful, and highly sustainable. Historically, ornament has been known to express character and reveal relationships between materiality, technological advances, and societal evolution. But ornament rapidly declined in the late 1800s in large part due to mechanization and modernist ideals of uniform, unadorned façade components. However, ornamentation in architecture has recently reappeared—a development that can be linked closely to advancements in computational design and digital fabrication. While these advancements offer the ability to create expressive architecture, their potential contribution to the improvement of sustainable architecture has largely been overlooked (Augusti-Juan and Habert 2017). This paper provides a brief revisitation to the history of ornament and investigates the impact of computation and automation on the production of contemporary ornament. The paper also attempts to catalog examples of how designers have used computational technologies to address the growing criticality of environmental concerns. Moreover, the paper presents the Waste Ornament project, a research platform that critically examines how we can leverage technology to augment the visual and sustainable performance of facade ornamentation to reduce energy use in buildings. Three sub-projects are identified as territories for further research into sustainable ornamentation, ranging from material sourcing, to high-performance buildings, to the development of a systematic upcycling process that transforms old facades into new ones. While the examples are not exhaustive, they attempt to interlace the general ideas of waste and ornament by addressing particular issues that converge at building envelopes.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:51

_id	acadia19_438
id	acadia19_438
authors	Jahn, Gwyllim; Wit, Andrew John; Pazzi, James
year	2019
title	[BENT]
doi	https://doi.org/10.52842/conf.acadia.2019.438
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 438-447
summary	Over the past two decades, advances in computation, digital fabrication, and robotics have opened up new avenues for the design and production of complex forms, emergent processes, as well as new levels of efficiency. Many of these methods, however, tend to focus on a specific tool, such as the industrial robotic arm. Due to their initial costs and space/power/safety requirements, difficulties associated in creating automated workflows and custom tooling, as well as the need for reliable/repeatable procedures, these tools are often out of reach for the average designer or design institution. Additionally, these tools are typically treated as methods of production rather than collaborators, leaving outcomes that can feel void of craft, with the appearance of a typical CNC-machined object. Rather than focusing on a specific production tool for manufacturing, this paper investigates a novel method for holographic handcraft-based production. This holographic augmentation—of simple and easily attainable analog tool sets—allows for the creation of extremely complex forms with high levels of precision in extremely short time frames. Through the lens of the recently completed steam-bent timber installation [BENT] produced at the Tyler School of Art, this paper discusses how Microsoft HoloLens in conjunction with the Fologram software plug-in can be integrated into the entirety of design and production processes as a means of producing a new typology of digital craft.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:52

_id	acadia19_510
id	acadia19_510
authors	Leder, Samuel; Weber, Ramon; Wood, Dylan; Bucklin, Oliver; Menges, Achim
year	2019
title	Distributed Robotic Timber Construction
doi	https://doi.org/10.52842/conf.acadia.2019.510
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 510-519
summary	Advances in computational design and robotic building methods have the potential to enable architects to author more sustainable, efficient, and geometrically varied systems that shape our built environment. To fully harness this potential, the inherent relationship of design and building processes requires a fundamental shift in the way we design and how we build. High degree of customization in architectural projects and constantly changing conditions of construction environments pose significant challenges for the implementation of automated construction machines. Beyond traditional, human-inspired, industrial robotic building methods, we present a distributed robotic system where the robotic builders are designed in direct relationship with the material and architecture they assemble. Modular, collaborative, single axis robots are designed to utilize standardized timber struts as a basic building material, and as a part of their locomotion system, to create large-scale timber structures with high degrees of differentiation. The decentralized, multi-robot system uses a larger number of simple machines that collaborate in teams to work in parallel on varying tasks such as material transport, placement, and fixing. The research explores related architectural and robotic typologies to create timber structures with novel aesthetics and performances.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:52

_id	caadria2019_403
id	caadria2019_403
authors	Lin, Xuhui and Muslimin, Rizal
year	2019
title	RESHAPE - Rapid forming and simulation system using unmanned aerial vehicles for architectural representation
doi	https://doi.org/10.52842/conf.caadria.2019.1.413
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 413-422
summary	As digital technology advances, multiple ways of repre-senting objects interactively in space, architects and designers begin to use Virtual Reality (VR) and Immersive Digital Environ-ments (IDE) to communicate their ideas. However, these technolo-gies are bounded with their spatial limitations. In responding to this issue, our paper introduces ReShape, a digital-physical spatial representation system supported by Unmanned Aerial Vehicle (UAV) swarm technology that allows a user to project their unbuilt design and interact with them in real space, unattached by headset, fixed cameras or screen. ReShape can be controlled by user orien-tation and gesture as an input, where the real-time feedback is provided by UAV spatial arrangement in space, augmented by computational simulation. Spatial data is transmitted between the UAV agents for the user to experience the digital model, creating a versatile and computationally efficient platform to edit and en-hance the design in real-space. This paper outlines four systems in ReShape, i.e., (1) detection system to identify and locate the user position and orientation; (2) task-arrangement system to provide spatial information to the UAV agents; (3) UAV's communicating system to control the UAV position and task in space; and (4) Physical-Digital forming system, to project digital simulation by the UAV agents.
keywords	UAV system; Spatial representation; a detecting sys-tem; human-computation interaction
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ecaadesigradi2019_541
id	ecaadesigradi2019_541
authors	Mesa, Olga, Mhatre, Saurabh, Singh, Malika and Aukes, Dan
year	2019
title	CREASE - Synchronized Gait Through Folded Geometry.
doi	https://doi.org/10.52842/conf.ecaade.2019.3.197
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 197-206
summary	Robotics have expanded exponentially in the last decade. Within the vast examples of ambulatory robots, traditional legged robots necessitate engineering expertise and the use of specialized fabrication technologies. Micro electromechanical (MEM) robots are useful for a wide range of applications yet in most cases, difficult to fabricate and excessively intricate. Advances in pop-up laminate construction have generated a model shift in the development of robot morphologies due to their ease of fabrication and scalability from the millimeter to centimeter scale. This research continues to investigate the link between kinematics and pop-up origami structures in robotics. The objective was to design a robot that exhibited efficient and controlled locomotion minimizing number of motors. "Crease", an origami robot that emerges from a two-dimensional sheet into its three-dimensional configuration was developed. By amplifying a simple rotational motion through the geometry of folds in the robot, a complex gait was achieved with minimal motorized actuation. Variations in gait, control, and steering were studied through physical and computational models. Untethered Creases that sense their environment and steer accordingly were developed. This research contributes not only to the field of robotics but also to design where efficiency, adjustability and ease of fabrication are critical.
keywords	Digital Fabrication and Robotics, Smart Geometry, Origami Robotics, Laminate Construction.
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:58

_id	caadria2019_650
id	caadria2019_650
authors	Papasotiriou, Tania
year	2019
title	Identifying the Landscape of Machine Learning-Aided Architectural Design - A Term Clustering and Scientometrics Study
doi	https://doi.org/10.52842/conf.caadria.2019.2.815
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 815-824
summary	Recent advances in Machine Learning and Deep Learning revolutionise many industry disciplines and underpin new ways of problem-solving. This paradigm shift hasn't left Architecture unaffected. To investigate the impact on architectural design, this study utilises two approaches. First, a text mining method for content analysis is employed, to perform a robust review of the field's literature. This allows identifying and discussing current trends and possible future directions of this research domain in a systematic manner. Second, a Scientometrics study based on bibliometric reviews is employed to obtain quantitative measures of the global research activity in the described domain. Insights on research trends and identification of the most influential networks in this dataset were acquired by analysing terms co-occurrence, scientific collaborations, geographic distribution, and co-citation analysis. The paper concludes with a discussion on the limitations, opportunities and future research directions in the field of Machine Learning-aided architectural design.
keywords	Machine Learning; Text mining; Scientometrics
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	ecaade2023_259
id	ecaade2023_259
authors	Sonne-Frederiksen, Povl Filip, Larsen, Niels Martin and Buthke, Jan
year	2023
title	Point Cloud Segmentation for Building Reuse - Construction of digital twins in early phase building reuse projects
doi	https://doi.org/10.52842/conf.ecaade.2023.2.327
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 327–336
summary	Point cloud processing has come a long way in the past years. Advances in computer vision (CV) and machine learning (ML) have enabled its automated recognition and processing. However, few of those developments have made it through to the Architecture, Engineering and Construction (AEC) industry. Here, optimizing those workflows can reduce time spent on early-phase projects, which otherwise could be spent on developing innovative design solutions. Simplifying the processing of building point cloud scans makes it more accessible and therefore, usable for design, planning and decision-making. Furthermore, automated processing can also ensure that point clouds are processed consistently and accurately, reducing the potential for human error. This work is part of a larger effort to optimize early-phase design processes to promote the reuse of vacant buildings. It focuses on technical solutions to automate the reconstruction of point clouds into a digital twin as a simplified solid 3D element model. In this paper, various ML approaches, among others KPConv Thomas et al. (2019), ShapeConv Cao et al. (2021) and Mask-RCNN He et al. (2017), are compared in their ability to apply semantic as well as instance segmentation to point clouds. Further it relies on the S3DIS Armeni et al. (2017), NYU v2 Silberman et al. (2012) and Matterport Ramakrishnan et al. (2021) data sets for training. Here, the authors aim to establish a workflow that reduces the effort for users to process their point clouds and obtain object-based models. The findings of this research show that although pure point cloud-based ML models enable a greater degree of flexibility, they incur a high computational cost. We found, that using RGB-D images for classifications and segmentation simplifies the complexity of the ML model but leads to additional requirements for the data set. These can be mitigated in the initial process of capturing the building or by extracting the depth data from the point cloud.
keywords	Point Clouds, Machine Learning, Segmentation, Reuse, Digital Twins
series	eCAADe
email
last changed	2023/12/10 10:49

_id	acadia19_150
id	acadia19_150
authors	Wong, Nichol Long Hin; Crolla, Kristo
year	2019
title	Simplifying Catenary Wood Structures
doi	https://doi.org/10.52842/conf.acadia.2019.150
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 150-155
summary	This work-in-progress action research paper describes the development of a novel computation-driven design method for low-tech producible, structurally optimized, suspended wooden roofs based on near catenary-shaped glue-laminated beams. The paper positions itself in a post-digital architectural context with as goal to introduce recent technological advances into developing construction contexts characterized by limited production means. The paper starts by evaluating the pre-existing practical, procedural, and economic drivers behind the design and fabrication of curved glue-laminated beams—one of the most ecologically sustainable structural elements commonly available. A method is proposed that employs genetic algorithms to simplify the fabrication of a suspended roof structure’s range of weight-saving, catenary shaped beams. To minimize the number of costly high-strength steel pressure vise setups required for their individual production, idealized curve geometries are minimally tweaked until a single, reusable jig setup becomes possible. When combined with a wooden roof underfloor, tectonic systems that employ such beams have the potential to dramatically reduce structure material requirements while producing architecturally engaging and spatially complex nonstandard space. The method’s validity, applicability, and architectural design opportunity space is tested, evaluated, and discussed through a conceptual architectural design project proposal that operates as demonstrator. The paper concludes by addressing future research directions and architectural advantages that the proposed design and fabrication methodology brings, especially for developing construction contexts with limited access to digital fabrication technology.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:57

_id	acadia19_168
id	acadia19_168
authors	Adilenidou, Yota; Ahmed, Zeeshan Yunus; Freek, Bos; Colletti, Marjan
year	2019
title	Unprintable Forms
doi	https://doi.org/10.52842/conf.acadia.2019.168
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp.168-177
summary	This paper presents a 3D Concrete Printing (3DCP) experiment at the full scale of virtualarchitectural bodies developed through a computational technique based on the use of Cellular Automata (CA). The theoretical concept behind this technique is the decoding of errors in form generation and the invention of a process that would recreate the errors as a response to optimization (Adilenidou 2015). The generative design process established a family of structural and formal elements whose proliferation is guided through sets of differential grids (multi-grids) leading to the build-up of large span structures and edifices, for example, a cathedral. This tooling system is capable of producing, with specific inputs, a large number of outcomes in different scales. However, the resulting virtual surfaces could be considered as "unprintable" either due to their need of extra support or due to the presence of many cavities in the surface topology. The above characteristics could be categorized as errors, malfunctions, or undesired details in the geometry of a form that would need to be eliminated to prepare it for printing. This research project attempts to transform these "fabrication imprecisions" through new 3DCP techniques into factors of robustness of the resulting structure. The process includes the elimination of the detail / "errors" of the surface and their later reinsertion as structural folds that would strengthen the assembly. Through this process, the tangible outputs achieved fulfill design and functional requirements without compromising their structural integrity due to the manufacturing constraints.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:54

_id	acadia19_596
id	acadia19_596
authors	Anton, Ana; Yoo, Angela; Bedarf, Patrick; Reiter, Lex; Wangler, Timothy; Dillenburger, Benjamin
year	2019
title	Vertical Modulations
doi	https://doi.org/10.52842/conf.acadia.2019.596
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 596-605
summary	The context of digital fabrication allows architects to reinvestigate material, process and the design decisions they entail to explore novel expression in architecture. This demands a new approach to design thinking, as well as the relevant tools to couple the form of artefacts with the process in which they are made. This paper presents a customised computational design tool developed for exploring the novel design space of Concrete Extrusion 3D Printing (CE3DP), enabling a reinterpretation of the concrete column building typology. This tool allows the designer to access generative engines such as trigonometric functions and mesh subdivision through an intuitive graphical user interface. Balancing process efficiency as understood by our industry with a strong design focus, we aim to articulate the unique architectural qualities inherent to CE3DP, energising much needed innovation in concrete technology.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:54

_id	acadia19_80
id	acadia19_80
authors	Bouayad, Ghali
year	2019
title	Three-Dimensional Translation of Japanese Katagami Patterns
doi	https://doi.org/10.52842/conf.acadia.2019.080
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 80-89
summary	The aim of this ongoing doctoral research is to rely on the incommensurable potential held in Japanese Katagami patterns in order to translate them into three-dimensional speculative architectures and architectural components that afford architects other design approaches differentiated from systemic and typical space configurations. While many designers are diving in the generative and computational design world by developing new personal methods, we would like to recycle the existing production of Katagami patterns into three-dimensional architectural elements that will perpetuate work of Katagami artists beyond time, borders, and scope of applicability. Given that the current digital shift has given us more computation power, we are broadening Katagami with new fabrication strategies and new methods to explore, produce, and stock geometry and data. In this paper, we rely on the Processing library IGeo (developed by Satoru Sugihara) to build bottom-up agent-based algorithms to study the architectural potential of Katagami patterns as a top-down clean and simple initial topology that avoids imitation of standard templates applied during the process of configuring and planning architectural space.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:54

_id	cf2019_069
id	cf2019_069
authors	Caetano, Inês ;and António Leitão
year	2019
title	Weaving Architectural Façades: Exploring algorithmic stripe-based design patterns
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 565-584
summary	With the recent technological developments, particularly, the integration of computational design approaches in architecture, the traditional art techniques became increasingly important in the field. This includes weaving techniques, which have a promising application in architectural screens and façade designs. Nevertheless, the adoption of weaving as a design strategy still has many unexplored areas, particularly those related to Algorithmic Design (AD). This paper addresses the creation of weave-based façade patterns by presenting a Generative System (GS) that aids architects that intend to use AD in the design of façades inspired on traditional weaving techniques. This GS proves to reduce the time and effort spent with the programming task, while supporting the exploration of a wider solution space. Moreover, in addition to enabling the integration of user-generated weaving patterns, the GS also provides rationalization algorithms to assess the construction feasibility of the obtained solutions.
keywords	Algorithmic Design, Façade Design, Weaving Patterns, Algorithmic Framework, Rationalization Processes
series	CAAD Futures
type	normal paper
email
last changed	2019/07/29 14:19

_id	caadria2019_491
id	caadria2019_491
authors	Cai, Chenyi, Tang, Peng and Li, Biao
year	2019
title	Intelligent Generation of Architectural layout inheriting spatial features of Chinese Garden Based on Prototype and Multi-agent System - A Case Study on Lotus Teahouse in Yixing
doi	https://doi.org/10.52842/conf.caadria.2019.1.291
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 291-300
summary	This study presents an approach for the intelligent generation of architectural layout, in which partial space inherits Chinese garden spatial features. The approach combines spatial prototype analysis and evolutionary optimization process. On one hand, from the perspective of shape grammar, this paper both analyzes and abstracts the spatial prototype that describes the spatial characteristics of Chinese gardens, including the organization system of architecture and landscape, with the spatial sequences along the tourism orientation. On the other hand, taking the design task of Lotus teahouse as an example, a typical spatial prototype is selected to develop the generative intelligent experiment to achieve the architectural layout, in which the spatial prototype is inherited. Through rule-making and parameter adjustment, the spatial prototype will eventually be transformed into a computational model based on the multi-agent system. Hence, the experiment of intelligent generation of architectural layout is carried out under the influence of the function, form and environmental factors; and a three-dimensional conceptual model that inherits the Chinese garden spatial prototype is obtained ultimately.
keywords	Chinese garden; Architectural layout; Spatial prototype; Multi-agent system; Intelligent generation
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2020_093
id	caadria2020_093
authors	Cerovsek, Tomo and Martens, Bob
year	2020
title	The Evolution of CAADRIA Conferences - A Bibliometric Approach
doi	https://doi.org/10.52842/conf.caadria.2020.1.325
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. 325-334
summary	This paper presents an analysis of the output, impact, use and content of 1,860 papers that were published in the CAADRIA conference proceedings over the last 20+ years (from 1996 to 2019). The applied methodology is a blend of bibliometrics, webometrics and clustering with text mining. The bibliometric analysis leads to quantitative and qualitative results on three levels: (1) author, (2) article and (3) association. The most productive authors authored over 50 papers, and the top 20% authors have over 80 % of all citations generated by CAADRIA proceedings. The overall impact of CAADRIA may be characterised by nearly 2,000 known citations and by the h-index that is 17. The webometrics based on CumInCAD.org reveals that the CAADRIA papers served over 200 k users, which is a considerable visibility for scientific CAAD output. The keywords most frequently used by authors were digital fabrication, BIM and parametric, generative, computational design. Notably, 90% of the papers' descriptors are 2-grams. This study may be useful to researchers, educators and publishers interested in CAAD.
keywords	bibliometrics; open source; text clustering; n-gram
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ecaadesigradi2019_369
id	ecaadesigradi2019_369
authors	Contreras, Camilo Hernán
year	2019
title	Surfaces Plot - A data visualization system to support design space exploration
doi	https://doi.org/10.52842/conf.ecaade.2019.2.145
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 145-152
summary	The notion of design spaces (DS) can be understood as the potential of a parametric model, it is basically the number of possible combinations for its input parameters. When combining tools that produce these alternatives automatically with different simulation softwares, the concept of parametric analysis (PA) emerges. This implies a simultaneous evaluation of the alternatives as they are constructed by the parametric model, producing large amounts of information. This article describes a sectional approach to the management of this information and a visualization technique to represent it looking for correlations between the input parameters and their performance. Correlations that are fundamental to making decisions with confidence when design problems challenge traditional methods of decision-making based on heuristics and design expertise.
keywords	Design Space ; Performance-Based Design; Parametric Analysis; Generative Design; Data Visualization
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	ijac201917102
id	ijac201917102
authors	Cutellic, Pierre
year	2019
title	Towards encoding shape features with visual event-related potential based brain–computer interface for generative design
source	International Journal of Architectural Computing vol. 17 - no. 1, 88-102
summary	This article will focus on abstracting and generalising a well-studied paradigm in visual, event-related potential based brain–computer interfaces, for the spelling of characters forming words, into the visually encoded discrimination of shape features forming design aggregates. After identifying typical technologies in neuroscience and neuropsychology of high interest for integrating fast cognitive responses into generative design and proposing the machine learning model of an ensemble of linear classifiers in order to tackle the challenging features that electroencephalography data carry, it will present experiments in encoding shape features for generative models by a mechanism of visual context updating and the computational implementation of vision as inverse graphics, to suggest that discriminative neural phenomena of event-related potentials such as P300 may be used in a visual articulation strategy for modelling in generative design.
keywords	Generative design, machine learning, brain–computer interface, design computing and cognition, integrated cognition, neurodesign, shape, form and geometry, design concepts and strategies
series	journal
email
last changed	2019/08/07 14:04

_id	ecaadesigradi2019_514
id	ecaadesigradi2019_514
authors	de Miguel, Jaime, Villafa?e, Maria Eugenia, Piškorec, Luka and Sancho-Caparrini, Fernando
year	2019
title	Deep Form Finding - Using Variational Autoencoders for deep form finding of structural typologies
doi	https://doi.org/10.52842/conf.ecaade.2019.1.071
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 71-80
summary	In this paper, we are aiming to present a methodology for generation, manipulation and form finding of structural typologies using variational autoencoders, a machine learning model based on neural networks. We are giving a detailed description of the neural network architecture used as well as the data representation based on the concept of a 3D-canvas with voxelized wireframes. In this 3D-canvas, the input geometry of the building typologies is represented through their connectivity map and subsequently augmented to increase the size of the training set. Our variational autoencoder model then learns a continuous latent distribution of the input data from which we can sample to generate new geometry instances, essentially hybrids of the initial input geometries. Finally, we present the results of these computational experiments and lay out the conclusions as well as outlook for future research in this field.
keywords	artificial intelligence; deep neural networks; variational autoencoders; generative design; form finding; structural design
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

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