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	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	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	cf2019_014
id	cf2019_014
authors	Ferrando, Cecilia; Niccolo Dalmasso, Jiawei Mai, Daniel Cardoso Llach
year	2019
title	Architectural Distant Reading Using Machine Learning to Identify Typological Traits Across Multiple Buildings
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 114-127
summary	This paper introduces an approach to architectural “distant reading”: the use of computational methods to analyze architectural data in order to derive spatial insights from—and explore new questions concerning—large collections of architectural work. Through a case study comprising a dataset of religious buildings, we show how we may use machine learning techniques to identify typological and functional traits from building plans. We find that spatial structure, rather than local features, is particularly effective in supporting this type of analysis. Further, we speculate on the potential of this computational method to enrich architectural design, research, and criticism by, for example, enabling new ways of thinking about architectural concepts such as typology in ways that reflect gradual variations, rather than sharp distinctions.
keywords	Architectural Analytics, Machine Learning, Classification, Religious buildings, Space Syntax
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	acadia19_50
id	acadia19_50
authors	Ibrahim, Nazim; Joyce, Sam Conrad
year	2019
title	User Directed Parametric Design for Option Exploration
doi	https://doi.org/10.52842/conf.acadia.2019.050
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. 50-59
summary	The potential of parametric associative models to explore large ranges of different designs is limited by our ability to manually create and modify them. While computation has been successfully used to generate variations by optimizing input parameters, adding or changing ‘components’ and ‘links’ of these models has typically been manual and human driven. The intellectual overhead and challenges of manually creating and maintaining complex parametric models has limited their usefulness in early stages of design exploration, where a quicker and wider design search is preferred. Recent methods called Meta Parametric Design using Cartesian Genetic Programming (CGP) specifically tailored to operate on parametric models, allows computational generation and topological modification for parametric models. This paper proposes the refinement of Meta Parametric techniques to quickly generate and manipulate models with a higher level of control than existing; enabling a more natural human centric user-directed design exploration process. Opening new possibilities for the computer to act as a co-creator: able to generate its own novel solutions, steered at a high-level by user(s) and able to develop convergent or divergent solutions over an extended interaction session, replicating in a faster way a human design assistant.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:50

_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	ecaadesigradi2019_191
id	ecaadesigradi2019_191
authors	Engel, Pedro
year	2019
title	CONTROLING DESIGN VARIATIONS - DESIGNING A SEMANTIC CONTROLER FOR A GENERATIVE SYSTEM
doi	https://doi.org/10.52842/conf.ecaade.2019.2.369
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. 369-376
summary	This article will describe the recent steps in the development of a computational generative system based on the selection and combination of ordinary architectural elements. Built as a Grasshopper definition, the system was conceived to generate designs of architectural façades and to produce models, physical and digital, for didactic use. More specifically, The paper will address the conception of controlling devices, that is, the parts of the computational system that govern design variations. This process involved two complementary actions: first, the definition of a clear organizational logic, where elements can be represented as a data structure that encompasses classes, sub-classes, sets, libraries and attributes; secondly, the establishment of means to operate the variations through the use of filters and heuristics based on visual patterns, allowing varying degrees of automation and user control. It will be argued that such organizational model paves the way to increase the number of design possibilities in the future and to and provide means to integrate of architectural criteria into the generation process. This research has received the support of CNPq.
keywords	Algorithm; Parametric Design; Architectural Design; Teaching ; Physical Model
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	ecaadesigradi2019_176
id	ecaadesigradi2019_176
authors	Giantini, Guilherme, Negris de Souza, Larissa, Turczyn, Daniel and Celani, Gabriela
year	2019
title	Environmental Ceramics - Merging the digital and the physical in the design of a performance -based facade system
doi	https://doi.org/10.52842/conf.ecaade.2019.2.749
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. 749-758
summary	Environmental comfort and space occupancy are essential considerations in architectural design process. Façade systems deeply impact both aspects but are usually standardized. However, performance-based facade systems tackle these issues through computational design to devise non-homogeneous elements. This work proposes a ceramic facade system designed according to a performance-based process grounded on environmental analysis and parametric design to allow adaptation and geometric variation according to specific building demands on environmental comfort and functionality. In this process, the Design Science Research method guided the exploration of both design and evaluation, bridging the gap between theory and practice. Positive facade environmental performance were found from digital and physical models assessment in terms of radiation, illuminance, dampness (with ventilation) and temperature. Computational processes minimized radiation inside the building while maximized illuminance. Their association influenced on operative temperature, which dropped according to local dampness and material absorption. Accordingly, this design process associates not only environmental comfort and functionality concepts but also adaptability, flexibility, mass customization, personal fabrication, additive manufacturing concepts, being an example architectural design changes in the 4th Industrial Revolution.
keywords	sustainable design; facade system; computational design; environmental analysis; evolutionary algorithm
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

_id	ijac201917204
id	ijac201917204
authors	Karaoglan Füsun Cemre and Sema Alaçam
year	2019
title	Design of a post-disaster shelter through soft computing
source	International Journal of Architectural Computing vol. 17 - no. 2, 185-205
summary	Temporary shelters become a more critical subject of architectural design as the increasing number of natural disasters taking place each year result in a larger number of people in need of urgent sheltering. Therefore, this project focuses on designing a temporary living space that can respond to the needs of different post-disaster scenarios and form a modular system through differentiation of units. When designing temporary shelters, it is a necessity to deal with the provision of materials, low-cost production and the time limit in the emergency as well as the needs of the users and the experiential quality of the space. Although computational approaches might lead to much more efficient and resilient design solutions, they have been utilized in very few examples. For that reason and due to their suitability to work with architectural design problems, soft computing methods shape the core of the methodology of the study. Initially, a digital model is generated through a set of rules that define a growth algorithm. Then, Multi-Objective Genetic Algorithms alter this growth algorithm while evaluating different configurations through the objective functions constructed within a Fuzzy Neural Tree. The struggle to represent design goals in the form of Fuzzy Neural Tree holds potential for the further use of it for architectural design problems centred on resilience. Resilience in this context is defined as a measure of how agile a design is when dealing with a major sheltering need in a post-disaster environment. Different from the previous studies, this article aims to focus on the design of a temporary shelter that can respond to different user types and disaster scenarios through mass customization, using Fuzzy Neural Tree as a novel approach. While serving as a temporary space, the design outcomes are expected to create a more neighbourhood-like pattern with a stronger sense of community for the users compared to the previous examples.
keywords	Humanitarian design, emergency architecture, computational design, Fuzzy Neural Tree, Multi-Objective Genetic Algorithms
series	journal
email
last changed	2019/08/07 14:04

_id	ecaadesigradi2019_138
id	ecaadesigradi2019_138
authors	Kim, Yujin
year	2019
title	Bioinspired Modularity in Evolutionary Computation and a Rule-Based Logic - Design Solutions for Shared Office Space
doi	https://doi.org/10.52842/conf.ecaade.2019.2.341
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. 341-348
summary	Evolutionary computation is a population-based problem solver that is characterized by a stochastic optimization in order to solve both a single objective and multiple objectives. Previous evolutionary computational researches provided various design options and improved optimization through being evolved with fitness criteria, especially when multiple design objectives conflict with one another. In this paper, a rule-based algorithm was combined with the evolutionary computational process to propose an assembly logic of the modules and to improve an architectural building design in order to adapt to environmental changes. Two algorithms - a rule based and generative algorithm- proceeded simultaneously and provided various options as well as optimization in real time. For the experiment set-up, existing buildings were divided into each module; the modules were reinterpreted and reassembled with the logic driven by Evolutionary Developmental Biology. The conclusion is that when a rule based logic is combined with a developmental algorithm with a modular system, it is more efficient for the design process to be analyzed, evaluated, and optimized. The ultimate outcome provides various options in a short amount of time.
keywords	Evolutionary computation; rule-based algorithm; modularity; reassembly
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

_id	acadia19_100
id	acadia19_100
authors	Meibodi, Mania Aghae; Kladeftira, Marirena; Kyttas, Thodoris; Dillenburger, Benjamin
year	2019
title	Bespoke Cast Facade
doi	https://doi.org/10.52842/conf.acadia.2019.100
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. 100-109
summary	This paper presents a computational design approach and a digital fabrication method for a freeform aluminum facade made of prefabricated bespoke elements. The fabrication of customized metal elements for construction remains a challenge to this day. Traditional fabrication methods, such as sand casting, are labor intensive, while direct metal 3D printing has limitations for architecture where large-scale elements are needed. Our research investigates the use of Binder Jetting technology to 3D print sand molds for casting bespoke facade elements in aluminum. Using this approach, custom facade elements can be economically fabricated in a short time. By automating the generation of mold design for each element, an efficient digital process chain from design to fabrication was established. In search of a computational method to integrate casting constraints into the form generation and the design process, a differential growth algorithm was used. The application of this fabrication method (3D printed sand molds and casting) in architecture is demonstrated via the design and fabrication of a freeform facade-screen. The paper articulates the relationship between the fabrication process and the differential growth algorithm with a parallel process of adaptive design tools and fabrication tests to exhibit future potential of the method for architectural practice.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:58

_id	ecaadesigradi2019_453
id	ecaadesigradi2019_453
authors	Nisztuk, Maciej and Myszkowski, Pawe³
year	2019
title	Tool for evolutionary aided architectural design. Hybrid Evolutionary Algorithm applied to Multi-Objective Automated Floor Plan Generation
doi	https://doi.org/10.52842/conf.ecaade.2019.1.061
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. 61-70
summary	The paper presents the ELISi multi-criteria optimisation application for AFPG based on Hybrid Evolutionary Algorithm (HEA). The research aims to create functional computational design tool for architects, mimicking the workflow of architectural design process. The article includes explanation of the proposed approach: problem representation, genetic algorithm operators, fitness functions definitions, post processing operations, software functionalities and workflow as well as achieved architectural results and outline of future research.
keywords	MOO in CAAD; automated floor plan generation; HEA
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:58

_id	acadia19_72
id	acadia19_72
authors	Pertigkiozoglou, Eliza
year	2019
title	Pattern Mapping
doi	https://doi.org/10.52842/conf.acadia.2019.072
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. 72-80
summary	Current computer-aided-design tools tend to focus on technical descriptions of objects and processes, while disregarding the agency of the designer in the creative process. This research shifts the focus to explore how computational tools could embrace the designer’s perception and trigger design exploration. In this direction, Pattern Mapping is presented as a prototypical software for the designing, making, and learning of a geometric material system: free-form surfaces created by the deformation of thin aluminum with auxetic-pattern slits. Along with the development of the software, the paper reports on a new methodology towards visual exploration in computational tools. Texture mapping—a computer-graphics algorithm—is utilized to bridge intuitive visualizations of form and materiality with geometric analysis. Informed by recent studies on design creativity, visual perception, and a precedent of an artist’s workflow, the proposed software facilitates learning through multiple modes of representations and drawing-like operations. Ultimately, Pattern Mapping is a provocation for the fusion of computational analysis with perception, drawing, and making.
keywords
series	ACADIA
type	normal paper
email
last changed	2022/06/07 08:00

_id	ecaadesigradi2019_150
id	ecaadesigradi2019_150
authors	Thomsen, Mette, Nicholas, Paul, Tamke, Martin, Gatz, Sebastian and Sinke, Yuliya
year	2019
title	Predicting and steering performance in architectural materials
doi	https://doi.org/10.52842/conf.ecaade.2019.2.485
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. 485-494
summary	This paper presents the prototyping of new methods by which functionally graded materials can be specified and produced. The paper presents a case study exploring how machine learning can be used to train a model in order to predict fabrication files from formalised design requirements. By using knit as a model for material fabrication, the paper outlines the making of new cyclical design methods employing machine learning in which simpler prototypical materials acts as input for more complex graded materials. A case study - Ombre - showcases the implementation of this workflow and results and perspectives are discussed.
keywords	computational design; material specification; machine learning; convolution algorithm; knit
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	ijac201917106
id	ijac201917106
authors	Brown, Nathan C. and Caitlin T. Mueller
year	2019
title	Design variable analysis and generation for performance-based parametric modeling in architecture
source	International Journal of Architectural Computing vol. 17 - no. 1, 36-52
summary	Many architectural designers recognize the potential of parametric models as a worthwhile approach to performance- driven design. A variety of performance simulations are now possible within computational design environments, and the framework of design space exploration allows users to generate and navigate various possibilities while considering both qualitative and quantitative feedback. At the same time, it can be difficult to formulate a parametric design space in a way that leads to compelling solutions and does not limit flexibility. This article proposes and tests the extension of machine learning and data analysis techniques to early problem setup in order to interrogate, modify, relate, transform, and automatically generate design variables for architectural investigations. Through analysis of two case studies involving structure and daylight, this article demonstrates initial workflows for determining variable importance, finding overall control sliders that relate directly to performance and automatically generating meaningful variables for specific typologies.
keywords	Parametric design, design space formulation, data analysis, design variables, dimensionality reduction
series	journal
email
last changed	2019/08/07 14:04

_id	caadria2019_000
id	caadria2019_000
authors	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.)
year	2019
title	CAADRIA 2019: Intelligent & Informed, Volume 1
doi	https://doi.org/10.52842/conf.caadria.2019.1
source	Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, 830 p.
summary	The territories of computational design are ever-changing and represent a substantial region that remains uncharted; one with expanding and permeable boundaries that continue to be fully breached. This ocean of opportunity implores researchers to embark on ambitious journeys of exploration. Undulating and temporal, computational design needs research that engages explicitly with the innovative, intelligent and informed exploitation of computational design, and with the array of computational technologies that the discipline may engage with. Human intelligence and creativity deliver the hegemonic direction for the field of computer-mediated architectural design research; an area where the computational component is a core aspect of the investigation. The actors in this are both witness to, and instigators of, the exciting, consequent, well-founded research that continues to deliver new knowledge, insights and information. This, then, explains the specific overarching theme of the conference: ‘Intelligent and Informed’. The scope of this theme is driven by the intention to take in aspects of machine intelligence, and a wide range of potential research that engages with the intelligent exploitation of computer-mediated techniques in Architecture.
series	CAADRIA
last changed	2022/06/07 07:49

_id	caadria2019_001
id	caadria2019_001
authors	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.)
year	2019
title	CAADRIA 2019: Intelligent & Informed, Volume 2
doi	https://doi.org/10.52842/conf.caadria.2019.2
source	Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, 830 p.
summary	The territories of computational design are ever-changing and represent a substantial region that remains uncharted; one with expanding and permeable boundaries that continue to be fully breached. This ocean of opportunity implores researchers to embark on ambitious journeys of exploration. Undulating and temporal, computational design needs research that engages explicitly with the innovative, intelligent and informed exploitation of computational design, and with the array of computational technologies that the discipline may engage with. Human intelligence and creativity deliver the hegemonic direction for the field of computer-mediated architectural design research; an area where the computational component is a core aspect of the investigation. The actors in this are both witness to, and instigators of, the exciting, consequent, well-founded research that continues to deliver new knowledge, insights and information. This, then, explains the specific overarching theme of the conference: ‘Intelligent and Informed’. The scope of this theme is driven by the intention to take in aspects of machine intelligence, and a wide range of potential research that engages with the intelligent exploitation of computer-mediated techniques in Architecture.
series	CAADRIA
last changed	2022/06/07 07:49

_id	acadia19_370
id	acadia19_370
authors	Mohammad, Ali; Beorkrem, Christopher; Ellinger, Jefferson
year	2019
title	Hybrid Elevations using GAN Networks
doi	https://doi.org/10.52842/conf.acadia.2019.370
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. 370-379
summary	This project is an attempt to develop and test a method for generating one-sided hybrid exterior building elevations using designer’s base criteria and design rule sets as inputs in an advanced artificial intelligence network. Architects are using computational design to expedite the iteration process in an efficient manner. Optimization techniques utilizing genetic solvers allow designers to explore broad sets of iterations within a predefined subset. However, with the application of artificial intelligence networks these fields of exploration can be expanded upon to develop ranges of exploration which can explore iterations outside of typical ranges. This paper explores the use of Generative Adversarial Networks (GAN) to explore and demonstrate their possible capabilities to typical design problems. In this instance we are exploring their application in the development of architectural elevations.
series	ACADIA
type	normal paper
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
doi	https://doi.org/10.52842/conf.ecaade.2019.1.719
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
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

_id	ecaade2024_4
id	ecaade2024_4
authors	Irodotou, Louiza; Gkatzogiannis, Stefanos; Phocas, Marios C.; Tryfonos, George; Christoforou, Eftychios G.
year	2024
title	Application of a Vertical Effective Crank–Slider Approach in Reconfigurable Buildings through Computer-Aided Algorithmic Modelling
doi	https://doi.org/10.52842/conf.ecaade.2024.1.421
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 421–430
summary	Elementary robotics mechanisms based on the effective crank–slider and four–bar kinematics methods have been applied in the past to develop architectural concepts of reconfigurable structures of planar rigid-bar linkages (Phocas et al., 2020; Phocas et al., 2019). The applications referred to planar structural systems interconnected in parallel to provide reconfigurable buildings with rectangular plan section. In enabling structural reconfigurability attributes within the spatial circular section buildings domain, a vertical setup of the basic crank–slider mechanism is proposed in the current paper. The kinematics mechanism is integrated on a column placed at the middle of an axisymmetric circular shaped spatial linkage structure. The definition of target case shapes of the structure is based on a series of numerical geometric analyses that consider certain architectural and construction criteria (i.e., number of structural members, length, system height, span, erectability etc.), as well as structural objectives (i.e., structural behavior improvement against predominant environmental actions) aiming to meet diverse operational requirements and lightweight construction. Computer-aided algorithmic modelling is used to analyze the system's kinematics, in order to provide a solid foundation and enable rapid adaptation for mechanisms that exhibit controlled reconfigurations. The analysis demonstrates the implementation of digital parametric design tools for the investigation of the kinematics of the system at a preliminary design stage, in avoiding thus time-demanding numerical analysis processes. The design process may further provide enhanced interdisciplinary performance-based design outcomes.
keywords	Reconfigurable Structures, Spatial Linkage Structures, Kinematics, Parametric Associative Design
series	eCAADe
email
last changed	2024/11/17 22:05

_id	acadia19_188
id	acadia19_188
authors	Leschok, Matthias; Dillenburger, Benjamin
year	2019
title	Dissolvable 3DP Formwork
doi	https://doi.org/10.52842/conf.acadia.2019.188
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. 188-197
summary	Additive manufacturing technology frees the designer and manufacturer from the constraints for creating formwork for castable materials. However, the removal of formwork remains a challenging task for specific geometric features such as undercuts and hollow parts. The entire formwork needs to be reachable by humans or machines to be broken, which poses a great risk of damaging the final concrete surface or destroying intricate details. This paper focuses on the development of a sustainable FDM 3D printed formwork system, enabling the casting of components at an architectural scale, without creating material waste. It does so by combining a minimal 3D printed shell with additional geometrical formwork features. Furthermore it proposes the usage of an alternative formwork material, Poly Vinyl Alcohol (PVA). PVA is water dissolvable, non-toxic, and biodegradable. Introducing water dissolvable 3D printed formwork allows designers to exploit in full the advantages of additive manufacturing technologies and the formability of castable materials. Concrete can be cast to fabricate one of a kind, full-scale, structural components without compromising the complexity of form, while at the same time, reducing the amount of material waste drastically.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:52

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