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

PDF papers
References

Hits 1 to 20 of 622

Reformat results as: short short into frame detailed detailed into frame

_id	acadia19_380
id	acadia19_380
authors	Özel, Güvenç; Ennemoser, Benjamin
year	2019
title	Interdisciplinary AI
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. 380- 391
doi	https://doi.org/10.52842/conf.acadia.2019.380
summary	Architecture does not exist in a vacuum. Its cultural, conceptual, and aesthetic agendas are constantly influenced by other visual and artistic disciplines ranging from film, photography, painting and sculpture to fashion, graphic and industrial design. The formal qualities of the cultural zeitgeist are perpetually influencing contemporary architectural aesthetics. In this paper, we aim to introduce a radical yet methodical approach toward regulating the relationship between human agency and computational form-making by using Machine Learning (ML) as a conceptual design tool for interdisciplinary collaboration and engagement. Through the use of a highly calibrated and customized ML systems that can classify and iterate stylistic approaches that exist outside the disciplinary boundaries of architecture, the technique allows for machine intelligence to design, coordinate, randomize, and iterate external formal and aesthetic qualities as they relate to pattern, color, proportion, hierarchy, and formal language. The human engagement in this design process is limited to the initial curation of input data in the form of image repositories of non-architectural disciplines that the Machine Learning system can extrapolate from, and consequently in regulating and choosing from the iterations of images the Artificial Neural Networks are capable of producing. In this process the architect becomes a curator that samples and streamlines external cultural influences while regulating their significance and weight in the final design. By questioning the notion of human agency in the design process and providing creative license to Artificial Intelligence in the conceptual design phase, we aim to develop a novel approach toward human-machine collaboration that rejects traditional notions of disciplinary autonomy and streamlines the influence of external aesthetic disciplines on contemporary architectural production.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:57

_id	caadria2020_093
id	caadria2020_093
authors	Cerovsek, Tomo and Martens, Bob
year	2020
title	The Evolution of CAADRIA Conferences - A Bibliometric Approach
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
doi	https://doi.org/10.52842/conf.caadria.2020.1.325
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	sigradi2023_416
id	sigradi2023_416
authors	Machado Fagundes, Cristian Vinicius, Miotto Bruscato, Léia, Paiva Ponzio, Angelica and Chornobai, Sara Regiane
year	2023
title	Parametric environment for internalization and classification of models generated by the Shap-E tool
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1689–1698
summary	Computing has been increasingly employed in design environments, primarily to perform calculations and logical decisions faster than humans could, enabling tasks that would be impossible or too time-consuming to execute manually. Various studies highlight the use of digital tools and technologies in diverse methods, such as parametric modeling and evolutionary algorithms, for exploring and optimizing alternatives in architecture, design, and engineering (Martino, 2015; Fagundes, 2019). Currently, there is a growing emergence of intelligent models that increasingly integrate computers into the design process. Demonstrating great potential for initial ideation, artificial intelligence (AI) models like Shap-E (Nichol et al., 2023) by OpenAI stand out. Although this model falls short of state-of-the-art sample quality, it is among the most efficient orders of magnitude for generating three-dimensional models through AI interfaces, offering practical balance for certain use cases. Thus, aiming to explore this gap, the presented study proposes an innovative design agency framework by employing Shap-E connected with parametric modeling in the design process. The generation tool has shown promising results; through generations of synthetic views conditioned by text captions, its final output is a mesh. However, due to the lack of topological information in models generated by Shap-E, we propose to fill this gap by transferring data to a parametric three-dimensional surface modeling environment. Consequently, this interaction's use aims to enable the transformation of the mesh into quantifiable surfaces, subject to collection and optimization of dimensional data of objects. Moreover, this work seeks to enable the creation of artificial databases through formal categorization of parameterized outputs using the K-means algorithm. For this purpose, the study methodologically orients itself in a four-step exploratory experimental process: (1) creation of models generated by Shap-E in a pressing manner; (2) use of parametric modeling to internalize models into the Grasshopper environment; (3) generation of optimized alternatives using the evolutionary algorithm (Biomorpher); (4) and classification of models using the K-means algorithm. Thus, the presented study proposes, through an environment of internalization and classification of models generated by the Shap-E tool, to contribute to the construction of a new design agency methodology in the decision-making process of design. So far, this research has resulted in the generation and classification of a diverse set of three-dimensional shapes. These shapes are grouped for potential applications in machine learning, in addition to providing insights for the refinement and detailed exploration of forms.
keywords	Shap-E, Parametric Design, Evolutionary Algorithm, Synthetic Database, Artificial Intelligence
series	SIGraDi
email
last changed	2024/03/08 14:09

_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
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
doi	https://doi.org/10.52842/conf.caadria.2019.2.815
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	ecaadesigradi2019_201
id	ecaadesigradi2019_201
authors	Torreblanca-Díaz, David A., Pati?o, Ever, Valencia-Escobar, Andrés and Urdinola, Diana
year	2019
title	Form-finding methodology as strategy for formative research in industrial design education - Experimental techniques for the early creative phases of the product design process
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. 45-54
doi	https://doi.org/10.52842/conf.ecaade.2019.1.045
summary	The experimental work of Antoni Gaudí and Frei Otto have been the precedents of what is currently called form-finding, a methodology based on rules and physical forces of nature that promotes principles of transformation as a result of the relationship between form, material and structure. This text shows the first results of the research titled as Form-finding methodology as strategy for formative research in industrial design education, with an empirical-analytical approach through action-research based method and using collaborative-participatory tools. As a result of the analysis of different cases in the first stage of the research, a basic methodological proposal is made, this methodological proposal is aimed to find new research possibilities for the identification of morphological characteristics to be used in design projects in the early creative phases (ideation and experimentation); the methodological proposal stages are the following: selection of technique, design of the experimentation, experimentation, analysis and discussion.
keywords	Form-finding; Experimental morphology; Industrial design education; Formative research; Action-research
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:58

_id	cf2019_052
id	cf2019_052
authors	Abdelmohsen, Sherif ;Passaint Massoud, Rana El-Dabaa, Aly Ibrahim and Tasbeh Mokbel
year	2019
title	The Effect of Hygroscopic Design Parameters on the Programmability of Laminated Wood Composites for Adaptive Façades
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 435
summary	Typical adaptive façades respond to external conditions to enhance indoor spaces based on complex mechanical actuators and programmable functions. Hygroscopic embedded properties of wood, as low-cost low-tech programmable material, have been utilized to induce passive motion mechanisms. Wood as anisotropic material allows for different passive programmable motion configurations that relies on several hygroscopic design parameters. This paper explores the effect of these parameters on programmability of laminated wood composites through physical experiments in controlled humidity environment. The paper studies variety of laminated configurations involving different grain orientations, and their effect on maximum angle of deflection and its durability. Angle of deflection is measured using image analysis software that is used for continuous tracking of deflection in relation to time. Durability is studied as the number of complete programmable cycles that wood could withstand before reaching point of failure. Results revealed that samples with highest deflection angle have least programmability durability.
keywords	Wood, hygroscopic design, lamination, deflection, durability, adaptive façades
series	CAAD Futures
email
last changed	2019/07/29 14:18

_id	lasg_whitepapers_2019_089
id	lasg_whitepapers_2019_089
authors	Byrne, Daragh; and Dana Cupkova
year	2019
title	Towards Psychosomatic Architecture; Attuning Reactive Architectural Materials through Biofeedback
source	Living Architecture Systems Group White Papers 2019 [ISBN 978-1-988366-18-0] Riverside Architectural Press: Toronto, Canada 2019. pp.089 - 100
summary	The built environment is known to affect human health and wellbeing. Yet, architecture does not respond to our bodies or our minds. It tends to be static, ignoring the human occupant, their mood, behaviors, and emotions. There is evidence that this monotony of average space is harmful to human health. Additionally, differences in gender, race and cultural conditions vary the perception of and preferences for temperature and color. To improve the psychosomatic relationship with architectural spaces, there arises the necessity for it to have a greater range of spatial reactivity and better support for personalized thermoregulation and aesthetics. This paper proposes an architecture that operates like a mood-ring, one that creates rich feedback between architecture and occupant towards individualized reactivity and expression. [Sentient Concrete] ([Image 1]) is a prototype of a thermochromically treated concrete panel that is thermally actuated by embedded electromechanical systems and can dynamically produce localized thermally reactive responses. It serves as a test case for outlining further research agendas and possible design frameworks for psychosomatic architecture.
keywords	living architecture systems group, organicism, intelligent systems, design methods, engineering and art, new media art, interactive art, dissipative systems, technology, cognition, responsiveness, biomaterials, artificial natures, 4DSOUND, materials, virtual projections,
email
last changed	2019/07/29 14:02

_id	cf2019_002
id	cf2019_002
authors	De Luca, Francesco
year	2019
title	Environmental Performance-Driven Urban Design Parametric Design Method for the Integration of Daylight and Urban Comfort Analysis in Cold Climates
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 21
summary	Shape of built environment and image of cities are significantly influenced by environmental factors such as access to natural light, air temperature and wind. Adequate quantity of daylight in building interiors is important for occupant wellbeing and energy saving. In Estonia minimum quantity of daylight is required by building standards. Wind speed increased by urban environment at northern latitudes can significantly reduce pedestrian perceived temperature during winter inducing strong cold stress. This paper presents a method for the integration of parametric modeling and environmental simulations to analyze interiors and exteriors comfort of tower building cluster variations in different urban areas in Tallinn. Optimal pattern characteristics such as buildings distance and alignment favoring improvement of interiors daylight and decrease of pedestrian cold stress are presented and discussed.
keywords	Daylight, Urban Comfort, Environmental Analysis, PerformanceDriven Urban Design, Parametric Design
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	cf2019_050
id	cf2019_050
authors	Erdine, Elif ; Giulio Gianni, Angel Fernando Lara Moreira, Alvaro Lopez Rodriguez, Yutao Song and Alican Sungur
year	2019
title	Robot-Aided Fabrication of Light-Weight Structures with Sheet Metal Expansion
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 433
summary	This paper presents a novel approach for the creation of metal lightweight self-supporting structures through the employment of metal kerfing and robotic sheet panel expansion. Research objectives focus on the synthesis of material behavior on a local scale and the structural performance on a global scale via advanced computational and robotic methods. There are inherent structural properties to expanded metal sheets which can be employed to achieve an integrated building system without the need for a secondary supporting structure. A computational workflow that integrates Finite Element Analysis, geometrical optimization, and robotic toolpath planning has been developed. This workflow is informed by the parameters of material experimentation on sheet metal kerfing and robotic sheet metal expansion on the local panel scale. The proposed methodology is applied on a range of panels with a custom-built robotic fabrication setup for the design, fabrication, and assembly of a one-to-one scale working prototype.
keywords	Robotic fabrication, Robotic sheet metal expansion, Light-weight structure, Metal kerfing, Metal expansion
series	CAAD Futures
email
last changed	2019/07/29 14:18

_id	lasg_whitepapers_2019_111
id	lasg_whitepapers_2019_111
authors	Gruber, Petra
year	2019
title	Living Wall System (LIWAS)
source	Living Architecture Systems Group White Papers 2019 [ISBN 978-1-988366-18-0] Riverside Architectural Press: Toronto, Canada 2019. pp.111 - 122
summary	This proposal is about the design and prototyping of a Living Wall System (LIWAS) as a test bed for integrating concepts from biology into architectural design. The "Living Wall” is a new way of interpreting a wall system that we use in architecture and building. We try to integrate characteristics of living organisms into the wall design to harness some of the intriguing qualities of life into our built surroundings. Living Walls may include flows of water; they may move, adapt geometry and change appearance; they may be inhabited by algae, plants and other organisms and in general be “alive.” The framework of the proposal is the overlap between architectural design and biological research, using biomimicry as a methodology for information transfer between the fields (Image 1).
keywords	living architecture systems group, organicism, intelligent systems, design methods, engineering and art, new media art, interactive art, dissipative systems, technology, cognition, responsiveness, biomaterials, artificial natures, 4DSOUND, materials, virtual projections,
email
last changed	2019/07/29 14:02

_id	caadria2019_054
id	caadria2019_054
authors	Hofmeyer, HÃ¨rm, Claessens, Dennis, Boonstra, Sjonnie and de Vries, Bauke
year	2019
title	Effects of 3D Zoning of Spatial Designs on the Performance of Structure Systems
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. 205-214
doi	https://doi.org/10.52842/conf.caadria.2019.1.205
summary	A particular application for informed building design concerns the intelligent synthesis of a structure system for a conceptual spatial design. As part of this synthesis, the positioning of structural elements is normally related to the surfaces of the spaces that form the spatial design. It is shown that if surfaces of zones are taken instead, with a zone being a group of complete or possibly incomplete spaces, structural performance of the space-based systems may be Pareto dominated by the zone-based systems. This indicates that zones are a useful concept to improve structural performance. Also, the variety of zoned designs for a single spatial design delivers, together with a single structural grammar, many variants for a structure system.
keywords	Zoning; Structural Grammar; Structure System
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2019_143
id	caadria2019_143
authors	Kato, Yuri and Matsukawa, Shohei
year	2019
title	Development of Generating System for Architectural Color Icons Using Google Map Platform and Tensorflow-Segmentation
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. 81-90
doi	https://doi.org/10.52842/conf.caadria.2019.2.081
summary	In this research, the goal is to develop a generating system for architectural color icons using Google Map Platform and Tensorflow-Segmentation. There has been no case of developing a system that allows users to visualize the color tendency of buildings as architectural color icons for each building element from images of various regions. It is considered meaningful to be able to create criteria for decision making in architecture and the urban design by developing a system to clarify the current state of the architectural colors. It will contribute a rise in the consciousness of landscape conservation and be essential for the design of architectures and public objects. This paper includes the explanation of development method, use experiments, and consideration of five problems among architectural color icons creation. It is assumed that the accuracy of the present system will be better as the technology improves.
keywords	Google street view; machine learning; image segmentation; color palette; color analysis
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	cf2019_015
id	cf2019_015
authors	Ladron de Guevara, Manuel; Luis Ricardo Borunda and Ramesh Krishnamurti
year	2019
title	A Multi-Resolution Design Methodology Based on Discrete Models
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 129
summary	The use of programming languages in design opens up unexplored and previously unworkable territories, mainly, in conventional architectural practice. In the 1990s, languages of continuity, smoothness and seamlessness dominated the architectural inquiry with the CNC milling machine as its manufacturing tool. Today’s computational design and fabrication technology look at languages of synthesis of fragments or particles, with the 3D printer as its fabrication archetype. Fundamental to this idea is the concept of resolution– the amount of information stored at any localized region. Construction of a shape is then based on multiple regions of resolution. This paper explores a novel design methodology that takes this concept of resolutions on discrete elements as a design driver for architectural practice. This research has been tested primarily through additive manufacturing techniques.
keywords	Multi-Resolution Design Methodology; Discrete-Based Computational Design; Resolutions; Additive Manufacturing
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	caadria2020_259
id	caadria2020_259
authors	Rhee, Jinmo, Veloso, Pedro and Krishnamurti, Ramesh
year	2020
title	Integrating building footprint prediction and building massing - an experiment in Pittsburgh
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 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 669-678
doi	https://doi.org/10.52842/conf.caadria.2020.2.669
summary	We present a novel method for generating building geometry using deep learning techniques based on contextual geometry in urban context and explore its potential to support building massing. For contextual geometry, we opted to investigate the building footprint, a main interface between urban and architectural forms. For training, we collected GIS data of building footprints and geometries of parcels from Pittsburgh and created a large dataset of Diagrammatic Image Dataset (DID). We employed a modified version of a VGG neural network to model the relationship between (c) a diagrammatic image of a building parcel and context without the footprint, and (q) a quadrilateral representing the original footprint. The option for simple geometrical output enables direct integration with custom design workflows because it obviates image processing and increases training speed. After training the neural network with a curated dataset, we explore a generative workflow for building massing that integrates contextual and programmatic data. As trained model can suggest a contextual boundary for a new site, we used Massigner (Rhee and Chung 2019) to recommend massing alternatives based on the subtraction of voids inside the contextual boundary that satisfy design constraints and programmatic requirements. This new method suggests the potential that learning-based method can be an alternative of rule-based design methods to grasp the complex relationships between design elements.
keywords	Deep Learning; Prediction; Building Footprint; Massing; Generative Design
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaadesigradi2019_630
id	ecaadesigradi2019_630
authors	Saad, Carla
year	2019
title	If Only Wood Could Speak... - Explorations in digital fabrication processes based on timber grain and patterns
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. 227-234
doi	https://doi.org/10.52842/conf.ecaade.2019.3.227
summary	This paper presents an exploration following wood patterns applied to traditional woodworking techniques such as steam bending and carving. It builds on a digital fabrication process where the patterns that are unique to each wood strip and which constitutes their structural geometry are also used within fabrication processes and applied machinery such as the zund machine. The experiments were done in two series where the earlier set focuses on routing along the wood patterns of thin wood strips and steam bending the different pieces. The second set experimented with carving thick wood strips on passes generated from the extracted patterns. An automated technique based in computer vision and specifically OpenCV was developed using different filters in order to extract the patterns and transfer the results into CAD software where the lines where further manipulated for variable exploration. The results of this study led to a better understanding of wood patterns from a geometrical perspective thus enriching the aesthetic composition of a design while being authentic to the unique nature of each piece of wood.
keywords	Timber; pattern recognition; grain; image; carving ; digital fabrication
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	cf2019_036
id	cf2019_036
authors	Schwartz, Mathew
year	2019
title	Visualization of Occupant Behavior in an Open Academic Space through Image Analysis
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 272
summary	Between agent simulation and circulation diagrams within design pedagogy, the prediction of occupant movement in space is integral to the informed design process. At the same time, trends in higher education have led to more open-ended spaces that are then studied for the unexpected ways in which students collaborate. These studies, by the unpredictable nature, must be done post-occupancy. In this paper, occupant behavior is visualized from an image dataset over a 9 day period in an open student environment. The methods for extracting behavior through this large dataset are presented. The results are then re?ected on in regard to the role of circulation diagrams for interior design and spatial planning.
keywords	occupant behavior, circulation, computation, post-occupancy evaluation, interior design
series	CAAD Futures
email
last changed	2019/07/29 14:15

_id	acadia19_392
id	acadia19_392
authors	Steinfeld, Kyle
year	2019
title	GAN Loci
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. 392-403
doi	https://doi.org/10.52842/conf.acadia.2019.392
summary	This project applies techniques in machine learning, specifically generative adversarial networks (or GANs), to produce synthetic images intended to capture the predominant visual properties of urban places. We propose that imaging cities in this manner represents the first computational approach to documenting the Genius Loci of a city (Norberg-Schulz, 1980), which is understood to include those forms, textures, colors, and qualities of light that exemplify a particular urban location and that set it apart from similar places. Presented here are methods for the collection of urban image data, for the necessary processing and formatting of this data, and for the training of two known computational statistical models (StyleGAN (Karras et al., 2018) and Pix2Pix (Isola et al., 2016)) that identify visual patterns distinct to a given site and that reproduce these patterns to generate new images. These methods have been applied to image nine distinct urban contexts across six cities in the US and Europe, the results of which are presented here. While the product of this work is not a tool for the design of cities or building forms, but rather a method for the synthetic imaging of existing places, we nevertheless seek to situate the work in terms of computer-assisted design (CAD). In this regard, the project is demonstrative of a new approach to CAD tools. In contrast with existing tools that seek to capture the explicit intention of their user (Aish, Glynn, Sheil 2017), in applying computational statistical methods to the production of images that speak to the implicit qualities that constitute a place, this project demonstrates the unique advantages offered by such methods in capturing and expressing the tacit.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:56

_id	cf2019_003
id	cf2019_003
authors	Steinfeld, Kyle; Katherine Park, Adam Menges and Samantha Walker
year	2019
title	Fresh Eyes A framework for the application of machine learning to generative architectural design, and a report of activities at Smartgeometry 2018
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 22
summary	This paper presents a framework for the application of Machine Learning (ML) to Generative Architectural Design (GAD), and illustrates this framework through a description of a series of projects completed at the Smart Geometry conference in May of 2018 (SG 2018) in Toronto. Proposed here is a modest modification of a 3-step process that is well-known in generative architectural design, and that proceeds as: generate, evaluate, iterate. In place of the typical approaches to the evaluation step, we propose to employ a machine learning process: a neural net trained to perform image classification. This modified process is different enough from traditional methods as to warrant an adjustment of the terms of GAD. Through the development of this framework, we seek to demonstrate that generative evaluation may be seen as a new locus of subjectivity in design.
keywords	Machine Learning, Generative Design, Design Methods
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	caadria2019_008
id	caadria2019_008
authors	WANG, Likai, Janssen, Patrick and Ji, Guohua
year	2019
title	Progressive Modelling for Parametric Design Optimization - An Example of How Parametric Design Optimization Can Support Reflection
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. 383-392
doi	https://doi.org/10.52842/conf.caadria.2019.1.383
summary	The use of parametric design optimization should not be merely a solution for design challenges, rather, a medium of reflection. The research explores how to conceive feasible design schemas and formulate appropriate parametric models capable of fully exploiting potential performance improvements through an iteratively reflective design synthesis with parametric design optimization. Taking a courtyard design as a case study, the paper describes three alternative parametric models for natural lighting optimization. A comparative analysis of the populations is presented, showing that the alternative parametric modelling approaches have a progressive positive impact on the quality of design performance.
keywords	design optimization; parametric modelling; reflective conversation; courtyard; natural lighting
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	ecaadesigradi2019_298
id	ecaadesigradi2019_298
authors	Zboinska, Malgorzata A.
year	2019
title	Artistic computational design featuring imprecision - A method supporting digital and physical explorations of esthetic features in robotic single-point incremental forming of polymer sheets
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. 719-728
doi	https://doi.org/10.52842/conf.ecaade.2019.1.719
summary	Design strategies that employ digital and material imprecision to achieve esthetic innovation exhibit high potential to transform the current precision-oriented practices of computation and digital fabrication in architecture. However, such strategies are still in their infancy. We present a design method facilitating intentionally-imprecise esthetic explorations within the framework of digital design and robotic single-point incremental forming. Our method gives access to the esthetic fine-tuning of molds from which architectural objects are cast. Semi-precise computational operations of extending, limiting, deepening and shallowing the geometrical deformations of the mold through robot toolpath fine-tuning are enabled by a digital toolkit featuring parametric modeling, surface curvature analyses, photogrammetry, digital photography and bitmap image retouching and painting. Our method demonstrates the shift of focus from geometric accuracy and control of material behaviors towards intentionally-imprecise digital explorations that yield novel esthetic features of architectural designs. By demonstrating the results of applying our method in the context of an exploration-driven design process, we argue that imprecision can be equally valid to accuracy, opening a vast, excitingly unknown territory for material-mediated esthetic explorations within digital fabrication. Such explorations can interestingly alter the esthetic canons and computational design methods of digital architecture in the nearest future.
keywords	Artistic architectural design; artistic digital crafting; creative robotics; material agency; fabrication inaccuracies; robotic single-point incremental forming of polymers
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:57

For more results click below: