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	acadia17_52
id	acadia17_52
authors	Ajlouni, Rima
year	2017
title	Simulation of Sound Diffusion Patterns of Fractal-Based Surface Profiles
doi	https://doi.org/10.52842/conf.acadia.2017.052
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 52-61
summary	Acoustical design is one of the most challenging aspects of architecture. A complex system of competing influences (e.g., space geometry, size, proportion, material properties, surface detail, etc.) contribute to shaping the quality of the auditory experience. In particular, architectural surfaces affect the way that sound reflections propagate through space. By diffusing the reflected sound energy, surface designs can promote a more homogeneous auditory atmosphere by mitigating sharp and focused reflections. One of the challenges with designing an effective diffuser is the need to respond to a wide band of sound wavelengths, which requires the surface profile to precisely encode a range of detail sizes, depths and angles. Most of the available sound diffusers are designed to respond to a narrow band of frequencies. In this context, fractal-based surface designs can provide a unique opportunity for mitigating such limitations. A key principle of fractal geometry is its multilevel hierarchical order, which enables the same pattern to occur at different scales. This characteristic makes it a potential candidate for diffusing a wider band of sound wavelengths. However, predicting the reflection patterns of complicated fractal-based surface designs can be challenging using available acoustical software. These tools are often costly, complicated and are not designed for predicting early sound propagation paths. This research argues that writing customized algorithms provides a valuable, free and efficient alternative for addressing targeted acoustical design problems. The paper presents a methodology for designing and testing a customized algorithm for predicting sound diffusion patterns of fractal-based surfaces. Both quantitative and qualitative approaches were used to develop the code and evaluate the results.
keywords	design methods; information processing; simulation & optimization; data visualization
series	ACADIA
email
last changed	2022/06/07 07:54

_id	acadia17_284
id	acadia17_284
authors	Hu, Zhengrong; Park, Ju Hong
year	2017
title	HalO [Indoor Positioning Mobile Platform]: A Data-Driven, Indoor-Positioning System With Bluetooth Low Energy Technology To Datafy Indoor Circulation And Classify Social Gathering Patterns For Assisting Post Occupancy Evaluation
doi	https://doi.org/10.52842/conf.acadia.2017.284
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 284-291
summary	Post-Occupancy Evaluation (POE) as an integrated field between architecture and sociology has created practical guidelines for evaluating indoor human behavior within a built environment. This research builds on recent attempts to integrate datafication and machine learning into POE practices that may one day assist Building Information Modeling (BIM) and multi-agent modeling. This research is based on two premises: 1) that the proliferation of Bluetooth Low Energy (BLE) technology allows us to collect a building user’s data cost-effectively and 2) that the growing application of machine learning algorithms allows us to process, analyze and synthesize data efficiently. This study illustrates that the mobile platform HalO can serve as a generic tool for datafication and automation of data analysis of the movement of a building user. In this research, the iOS mobile application HalO, combined with BLE beacons enable building providers (architects, developers, engineers and facility managers etc.) to collect the user’s indoor location data. Triangulation was used to pinpoint the user’s indoor positions, and k-means clustering was applied to classify users into different gathering groups. Through four research procedures—Design Intention Analysis, Data Collection, Data Storage and Data Analysis—the visualized and classified data helps building providers to better evaluate building performance, optimize building operations and improve the accuracy of simulations.
keywords	design methods; information processing; data mining; IoT; AI; machine learning
series	ACADIA
email
last changed	2022/06/07 07:49

_id	acadia17_340
id	acadia17_340
authors	Landim, Gabriele; Digiandomenico, Dyego; Amaro, Jean; Pratschke, Anja; Tramontano, Marcelo; Toledo, Claudio
year	2017
title	Architectural Optimization and Open Source Development: Nesting and Genetic Algorithms
doi	https://doi.org/10.52842/conf.acadia.2017.340
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 340- 349
summary	This research presents a general overview of performance-oriented architectural design and how the rise of parametric modeling and algorithm-aided design enable an integrated environment for project design, simulation and optimization. For optimization processes, one of the most used methods in architectural problem solving is genetic algorithms (GAs). However, as the use of GAs becomes more common in the architecture, it is possible to identify a lack of clarity about the methods and procedures operated by the algorithms. Thus, this research seeks to contribute to the field through the implementation of an open source optimization plugin whose method of implemented algorithms, a GA and a nesting algorithm, can be accessed for evaluation, improvement and adaptation to other architectural problems. In the same way, it discusses the relevance of the openness and clarity of the methods employed in optimization processes in architecture. The proposed plugin was tested in an experiment that verified the feasibility of the development of the open source plugin and the efficiency of the method in solving the chosen architectural problem.
keywords	algorithm-aided design; optimization; genetic algorithm; nesting; open source; computational / artistic cultures; generative system; simulation & optimization; design methods; information processing
series	ACADIA
email
last changed	2022/06/07 07:52

_id	ecaade2023_44
id	ecaade2023_44
authors	Mayrhofer-Hufnagl, Ingrid and Ennemoser, Benjamin
year	2023
title	From Linear to Manifold Interpolation: Exemplifying the paradigm shift through interpolation
doi	https://doi.org/10.52842/conf.ecaade.2023.2.419
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. 419–429
summary	The advent of artificial intelligence, specifically neural networks, has marked a significant turning point in the field of computation. During such transformative times, we are often faced with a dearth of appropriate vocabulary, which forces us to rely on existing terms, regardless of their inadequacy. This paper argues that the term “interpolation,” typically used in deep learning (DL), is a prime example of this phenomenon. It is not uncommon for beginners to misunderstand its meaning, as DL pioneer Francois Chollet (2017) has noted. This misreading is especially true in the discipline of architecture, and this study aims to demonstrate how the meaning of “interpolation” has evolved in the second digital turn. We begin by illustrating, using 2D data, the difference between linear interpolation in the context of topological figures and its use in DL algorithms. We then demonstrate how 3DGANs can be employed to interpolate across different topologies in complex 3D space, highlighting the distinction between linear and manifold interpolation. In both 2D and 3D examples, our results indicate that the process does not involve continuous morphing but instead resembles the piecing together of a jigsaw puzzle to form many parts of a larger ambient space. Our study reveals how previous architectural research on DL has employed the term “interpolation” without clarifying the crucial differences from its use in the first digital turn. We demonstrate the new possibilities that manifold interpolation offers for architecture, which extend well beyond parametric variations of the same topology.
keywords	Interpolation, 3D Generative Adversarial Networks, Deep Learning, Hybrid Space
series	eCAADe
email
last changed	2023/12/10 10:49

_id	acadia17_562
id	acadia17_562
authors	Soler, Vicente; Retsin, Gilles; Jimenez Garcia, Manuel
year	2017
title	A Generalized Approach to Non-Layered Fused Filament Fabrication
doi	https://doi.org/10.52842/conf.acadia.2017.562
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 562- 571
summary	This research attempts to generalize an approach for large-scale, non-layered spatial extrusion. The methodology consists of splitting a volume, representing any arbitrary geometry, into discrete fragments with a finite number of possible arrangements. These fragments are combined in response to a series of design criteria. A novel application of graph theory algorithms is used to generate a continuous and non-overlapping path through the discrete segments. Physical and mechanical issues related to extrusion technology are explored. The computational model takes into consideration the grade and limitations of different kinds of equipment and material properties to counteract fabrication errors with the goal of speeding up the process and eliminating any need for human intervention. This approach is implemented as a cross-platform software product and programming library that can generate robot programs compatible with multiple industrial robot manufacturers. A physical prototype was fabricated using the seminal Panton Chair as a test model. We conclude that the computational approach is sound and most of the issues encountered were due to the equipment used. This will be addressed in future work.
keywords	design methods; information processing; simulation & optimization; construction/robotics
series	ACADIA
email
last changed	2022/06/07 07:56

_id	acadia17_640
id	acadia17_640
authors	Yousif, Shermeen; Yan, Dr. Wei; Culp, Dr. Charles
year	2017
title	Incorporating Form Diversity into Architectural Design Optimization
doi	https://doi.org/10.52842/conf.acadia.2017.640
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 640- 649
summary	In this study, we introduce a new approach that incorporates form diversity into architectural design optimization, which will potentially accommodate designers' aesthetic judgment into the whole building optimization process. Form diversity is defined here as the level of difference in building geometric forms. We developed a form comparison algorithm to lead to a reasonable number of optimal design solutions of highly diverse forms. This allows for a post-optimization articulation of preferred solutions, and helps satisfy the aesthetic criterion in parallel to the measurable objectives. The methodology involves experimenting and prototyping. Experiments were done at different progress levels of the optimization tasks to test the feasibility of the system’s framework. A prototype framework was developed using parametric modeling, energy simulation, daylight simulation, Pareto optimization, and Multi-Objective Genetic Algorithms. The initial results demonstrate that the system has the capability to successfully work as desired with possible improvements. Comparison of results before and after shape comparison is discussed.
keywords	design methods; information processing; simulation; optimization; form finding; generative system
series	ACADIA
email
last changed	2022/06/07 07:57

_id	acadia17_18
id	acadia17_18
authors	Abdel-Rahman, Amira; Michalatos, Panagiotis
year	2017
title	Magnetic Morphing
doi	https://doi.org/10.52842/conf.acadia.2017.018
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 18-27
summary	In an attempt to design shape-morphing multifunctional objects, this thesis uses programmable matter to design self-organizing multi-agent systems capable of morphing from one shape into another. The research looks at various precedents of self-assembly and modular robotics to design and prototype passive agents that could be cheaply mass-produced. Intelligence will be embedded into these agents on a material level, designing different local interactions to perform different global goals. The initial exploratory study looks at various examples from nature like plankton and molecules. Magnetic actuation is chosen as the external actuation force between agents. The research uses simultaneous digital and physical investigations to understand and design the interactions between agents. The project offers a systemic investigation of the effect of shape, interparticle forces, and surface friction on the packing and reconfiguration of granular systems. The ability to change the system state from a gaseous, liquid, then solid state offers new possibilities in the field of material computation, where one can design a "material" and change its properties on demand.
keywords	material and construction; construction/robotics; smart materials; smart assembly/construction; simulation & optimization
series	ACADIA
email
last changed	2022/06/07 07:52

_id	acadia21_530
id	acadia21_530
authors	Adel, Arash; Augustynowicz, Edyta; Wehrle, Thomas
year	2021
title	Robotic Timber Construction
doi	https://doi.org/10.52842/conf.acadia.2021.530
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by S. Parascho, J. Scott, and K. Dörfler. 530-537.
summary	Several research projects (Gramazio et al. 2014; Willmann et al. 2015; Helm et al. 2017; Adel et al. 2018; Adel Ahmadian 2020) have investigated the use of automated assembly technologies (e.g., industrial robotic arms) for the fabrication of nonstandard timber structures. Building on these projects, we present a novel and transferable process for the robotic fabrication of bespoke timber subassemblies made of off-the-shelf standard timber elements. A nonstandard timber structure (Figure 2), consisting of four bespoke subassemblies: three vertical supports and a Zollinger (Allen 1999) roof structure, acts as the case study for the research and validates the feasibility of the proposed process.
series	ACADIA
type	project
email
last changed	2023/10/22 12:06

_id	ecaade2017_021
id	ecaade2017_021
authors	Agirbas, Asli
year	2017
title	The Use of Simulation for Creating Folding Structures - A Teaching Model
doi	https://doi.org/10.52842/conf.ecaade.2017.1.325
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 325-332
summary	In architectural education, the demand for creating forms with a non-Euclidean geometry, which can only be achieved by using the computer-aided design tools, is increasing. The teaching of this subject is a great challenge for both students and instructors, because of the intensive nature of architecture undergraduate programs. Therefore, for the creation of those forms with a non-Euclidean geometry, experimental work was carried out in an elective course based on the learning visual programming language. The creation of folding structures with form-finding by simulation was chosen as the subject of the design production which would be done as part of the content of the course. In this particular course, it was intended that all stages should be experienced, from the modeling in the virtual environment to the digital fabrication. Hence, in their early years of architectural education, the students were able to learn versatile thinking by experiencing, simultaneously, the use of simulation in the environment of visual programming language, the forming space by using folding structures, the material-based thinking and the creation of their designs suitable to the digital fabrication.
keywords	Folding Structures; CAAD; Simulation; Form-finding; Architectural Education
series	eCAADe
email
last changed	2022/06/07 07:54

_id	cf2017_249
id	cf2017_249
authors	Agirbas, Asli
year	2017
title	Teaching Design by Coding in Architecture Undergraduate Education: A Case Study with Islamic Patterns
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 249-258.
summary	Computer-aided design has found its role in the undergraduate education of architects, and presently design by coding is also gradually finding further prominence in accord with the increasing demand by students who wish to learn more about this topic. This subject is included in an integrated manner in some studio courses on architecture design in some schools, or it is taught separately in elsewhere. In terms of the separate course on coding, the principal difficulty is that actual applications of the method can rarely be included due to time limitations and the fact that it is conducted separately from the studio course on architecture. However, within the framework of the architectural education, in order to learn about the coding it is necessary to consider it along with the design process, and this versatile thinking can only be achieved by the application of the design. In this study, an elective undergraduate course is considered in the context of design and to yield a versatile thinking strategy while learning the language of visual programming. The course progressed under the theoretical framework of shape grammar from the design stage through to the digital fabrication process, and the experimental studies were carried out on the selected topic of Islamic pattern. A method was proposed to improve the productivity of such courses, and an evaluation of the results is presented.
keywords	Islamic Patterns, Shape Grammars, Architectural Education, Parametric Design, CAAD.
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	acadia17_28
id	acadia17_28
authors	Aguiar, Rita; Cardoso, Carmo; Leit?o,António
year	2017
title	Algorithmic Design and Analysis Fusing Disciplines
doi	https://doi.org/10.52842/conf.acadia.2017.028
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 28-37
summary	In the past, there has been a rapid evolution in computational tools to represent and analyze architectural designs. Analysis tools can be used in all stages of the design process, but they are often only used in the final stages, where it might be too late to impact the design. This is due to the considerable time and effort typically needed to produce the analytical models required by the analysis tools. A possible solution would be to convert the digital architectural models into analytical ones, but unfortunately, this often results in errors and frequently the analytical models need to be built almost from scratch. These issues discourage architects from doing a performance-oriented exploration of their designs in the early stages of a project. To overcome these issues, we propose Algorithmic Design and Analysis, a method for analysis that is based on adapting and extending an algorithmic-based design representation so that the modeling operations can generate the elements of the analytical model containing solely the information required by the analysis tool. Using this method, the same algorithm that produces the digital architectural model can also automatically generate analytical models for different types of analysis. Using the proposed method, there is no information loss and architects do not need additional work to perform the analysis. This encourages architects to explore several design alternatives while taking into account the design’s performance. Moreover, when architects know the set of design variations they wish to analyze beforehand, they can easily automate the analysis process.
keywords	design methods; information processing; simulation & optimization; BIM; generative system
series	ACADIA
email
last changed	2022/06/07 07:54

_id	acadia17_38
id	acadia17_38
authors	Ahlquist, Sean; McGee, Wes; Sharmin, Shahida
year	2017
title	PneumaKnit: Actuated Architectures Through Wale- and Course-Wise Tubular Knit-Constrained Pneumatic Systems
doi	https://doi.org/10.52842/conf.acadia.2017.038
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 38-51
summary	This research explores the development of seamless pneumatically actuated systems whose motion is controlled by the combination of differentially knitted textiles and standardized thin-walled silicone tubing. This work proposes a fundamental material strategy that addresses challenges ranging from soft robotics to pneumatic architecture. Research in soft robotics seeks to achieve complex motions through non-mechanical monolithic systems, comprised of highly articulated shapes molded with a combination of elastic and inelastic materials. Inflatables in architecture focus largely on the active structuring of static forms, as facade systems or as structured envelopes. An emerging use of pneumatic architecture proposes morphable, adaptive systems accomplished through differentiated mechanically interconnected components. In the research described in this paper, a wide array of capabilities in motion and geometric articulation are accomplished through the design of knitted sleeves that generate a series of actuated “elbows.” As opposed to molding silicone bladders, differentiation in motion is generated through the more facile ability of changing stitch structure, and shaping of the knitted textile sleeve, which constrains the standard silicone tubing. The relationship between knit differentiation, pneumatic pressure, and the resultant motion profile is studied initially with individual actuators, and ultimately in propositions for larger seamless assemblies. As opposed to a cellular study of individual components, this research proposes structures with multi-scalar articulation, from fiber and stitch to overall form, composed into seamless, massively deformable architectures.
keywords	material and construction; fabrication; construction/robotics
series	ACADIA
email
last changed	2022/06/07 07:54

_id	acadia17_62
id	acadia17_62
authors	Al-Assaf, Nancy S.; Clayton, Mark J.
year	2017
title	Representing the Aesthetics of Richard Meier’s Houses Using Building Information Modeling
doi	https://doi.org/10.52842/conf.acadia.2017.062
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 62-71
summary	Beyond its widespread use for representing technical aspects and matters of building and construction science, Building information modeling (BIM) can be used to represent architectural relationships and rules drawn from aesthetic theory. This research suggests that BIM provides not only vocabulary but also syntactical tools that can be used to capture an architectural language. In a case study using Richard Meier’s language for single-family detached houses, a BIM template has been devised to represent the aesthetic concepts and relations therein. The template employs parameterized conceptual mass objects, syntactical rules, and a library of architectonic elements, such as walls, roofs, columns, windows, doors, and railings. It constrains any design produced using the template to a grammatically consistent expression or style. The template has been used as the starting point for modeling the Smith House, the Douglas House, and others created by the authors, demonstrating that the aesthetic template is general to many variations. Designing with the template to produce a unique but conforming design further illustrates the generality and expressiveness of the language. Having made the formal language explicit, in terms of syntactical rules and vocabulary, it becomes easier to vary the formal grammar and concrete vocabulary to produce variant languages and styles. Accordingly, this approach is not limited to a specific style, such as Richard Meier's. Future research can be conducted to demonstrate how designing with BIM can support stylistic change. Adoption of this approach in practice could improve the consistency of architectural designs and their coherence to defined styles, potentially increasing the general level of aesthetic expression in our built environment.
keywords	design methods; information processing; BIM; education
series	ACADIA
email
last changed	2022/06/07 07:54

_id	ecaade2017_057
id	ecaade2017_057
authors	Al-Qattan, Emad, Yan, Wei and Galanter, Philip
year	2017
title	Tangible Computing for Establishing Generative Algorithms - A Case Study with Cellular Automata
doi	https://doi.org/10.52842/conf.ecaade.2017.1.347
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 347-354
summary	The work presented in this paper investigates the potential of tangible interaction to setup algorithmic rules for creating computational models. The research proposes a workflow that allows designers to create complex geometric patterns through their physical interaction with design objects. The method aims to address the challenges of designers implementing algorithms for computational modeling. The experiments included in this work are prototype-based, which link a digital environment with an artifact - the physical representation of a digital model that is integrated with a Physical Computing System. The digital-physical workflow is tested through enabling users to physically setup the rules of a Cellular Automata algorithm. The experiments demonstrate the possibility of utilizing tangible interaction to setup the initial cell state and the rules of a CA algorithm to generate complex geometric patterns.
keywords	Physical Computing; Tangible User-Interface; Cellular Automata
series	eCAADe
email
last changed	2022/06/07 07:54

_id	sigradi2017_016
id	sigradi2017_016
authors	Alexandre da Silva, Geovany Jessé; Carlos Alejandro Nome, Lucy Donegan
year	2017
title	Ferramentas de Projeto para análise da qualidade urbana: Relacionando forma, usos, densidade e configuração espacial na cidade de João Pessoa, Brasil. [Design tools to assess urban quality: Relating form, uses, density and spatial configuration in João Pessoa city, Brazil.]
source	SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.123-129
summary	This paper describes an experience in a Graduate course Architecture and Urbanism that used computational tools to analyze urban quality – considering form, uses, density and spatial configuration (based on visual and fields) – in different urban areas in the city of João Pessoa. Understanding that the city is a problem in organized complexity, different aspects condition the quality of use of spaces and reveal urban dynamics. Urban analysis aided by computational tools revealed successful in characterizing different problems and potentialities that can lay the foundation for interventions with more urban quality.
keywords	Design computational tools; Study of urban form, uses and density; Urban space performance; Spatial configuration.
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	acadia17_72
id	acadia17_72
authors	Alfaiate, Pedro; Caetano, In?s; Leit?o, António
year	2017
title	Luna Moth: Supporting Creativity in the Cloud
doi	https://doi.org/10.52842/conf.acadia.2017.072
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 72-81
summary	Algorithmic design allows architects to design using a programming-based approach. Current algorithmic design environments are based on existing computer-aided design applications or building information modeling applications, such as AutoCAD, Rhinoceros 3D, or Revit, which, due to their complexity, fail to give architects the immediate feedback they need to explore algorithmic design. In addition, they do not address the current trend of moving applications to the cloud to improve their availability. To address these problems, we propose a software architecture for an algorithmic design integrated development environment (IDE), based on web technologies, that is more interactive than competing algorithmic design IDEs. Besides providing an intuitive editing interface which facilitates programming tasks for architects, its performance can be an order of magnitude faster than current algorithmic design IDEs, thus supporting real-time feedback with more complex algorithmic design programs. Moreover, our solution also allows architects to export the generated model to their preferred computer-aided design applications. This results in an algorithmic design environment that is accessible from any computer, while offering an interactive editing environment that integrates into the architect’s workflow.
keywords	design methods; information processing; generative system; computational / artistic cultures
series	ACADIA
email
last changed	2022/06/07 07:54

_id	acadia17_82
id	acadia17_82
authors	Andreani, Stefano; Sayegh, Allen
year	2017
title	Augmented Urban Experiences: Technologically Enhanced Design Research Methods for Revealing Hidden Qualities of the Built Environment
doi	https://doi.org/10.52842/conf.acadia.2017.082
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 82-91
summary	The built environment is a complex juxtaposition of static matter and dynamic flows, tangible objects and human experiences, physical realities and digital spaces. This paper offers an alternative understanding of those dichotomies by applying experimental design research strategies that combine objective quantification and subjective perception of urban contexts. The assumption is that layers of measurable datasets can be afforded with personal feedback to reveal "hidden" characteristics of cities. Drawing on studies from data and cognitive sciences, the proposed method allows us to analyze, quantify and visualize the individual experience of the built environment in relation to different urban qualities. By operating in between the scientific domain and the design realm, four design research experiments are presented. Leveraging augmenting and sensing technologies, these studies investigate: (1) urban attractors and user attention, employing eye-tracking technologies during walking; (2) urban proxemics and sensory experience, applying proximity sensors and EEG scanners in varying contexts; (3) urban mood and spatial perception, using mobile applications to merge tangible qualities and subjective feelings; and (4) urban vibe and paced dynamics, combining vibration sensing and observational data for studying city beats. This work demonstrates that, by adopting a multisensory and multidisciplinary approach, it is possible to gain a more human-centered, and perhaps novel understanding of the built environment. A lexicon of experimented urban situations may become a reference for studying different typologies of environments from the user experience, and provide a framework to support creative intuition for the development of more engaging, pleasant, and responsive spaces and places.
keywords	design methods; information processing; art and technology; hybrid practices
series	ACADIA
email
last changed	2022/06/07 07:54

_id	acadia17_92
id	acadia17_92
authors	Anzalone, Phillip; Bayard, Stephanie; Steenblik, Ralph S.
year	2017
title	Rapidly Deployed and Assembled Tensegrity System: An Augmented Design Approach
doi	https://doi.org/10.52842/conf.acadia.2017.092
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 92-101
summary	The Rapidly Deployable and Assembled Tensegrity (RDAT) project enables the efficient automated design and deployment of differential-geometry tensegrity structures through computation-driven design-to-installation workflow. RDAT employs the integration of parametric and solid-modeling methods with production by streamlining computer numerically controlled manufacturing through novel detailing and production techniques to develop an efficient manufacturing and assembly system. The RDAT project emerges from the Authors' research in academia and professional practice focusing on computationally produced full-scale performative building systems and their innovative uses in the building and construction industry.
keywords	design methods; information processing; AI; machine learning; form finding; VR; AR; mixed reality
series	ACADIA
email
last changed	2022/06/07 07:54

_id	acadia17_102
id	acadia17_102
authors	Aparicio, German
year	2017
title	Data-Insight-Driven Project Delivery: Approach to Accelerated Project Delivery Using Data Analytics, Data Mining and Data Visualization
doi	https://doi.org/10.52842/conf.acadia.2017.102
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 102-109
summary	Today, 98% of megaprojects face cost overruns or delays. The average cost increase is 80% and the average slippage is 20 months behind schedule (McKinsey 2015). It is becoming increasingly challenging to efficiently support the scale, complexity and ambition of these projects. Simultaneously, project data is being captured at growing rates. We continue to capture more data on a project than ever before. Total data captured back in 2009 in the construction industry reached over 51 petabytes, or 51 million gigabytes (Mckinsey 2016). It is becoming increasingly necessary to develop new ways to leverage our project data to better manage the complexity on our projects and allow the many stakeholders to make better more informed decisions. This paper focuses on utilizing advances in data mining, data analytics and data visualization as means to extract project information from massive datasets in a timely fashion to assist in making key informed decisions for project delivery. As part of this paper, we present an innovative new use of these technologies as applied to a large-scale infrastructural megaproject, to deliver a set of over 4,000 construction documents in a six-month period that has the potential to dramatically transform our industry and the way we deliver projects in the future. This paper describes a framework used to measure production performance as part of any project’s set of project controls for accelerated project delivery.
keywords	design methods; information processing; data mining; big data; data visualization
series	ACADIA
email
last changed	2022/06/07 07:55

_id	acadia17_110
id	acadia17_110
authors	Arnowitz, Ethan; Morse, Christopher; Greenberg, Donald P.
year	2017
title	vSpline: Physical Design and the Perception of Scale in Virtual Reality
doi	https://doi.org/10.52842/conf.acadia.2017.110
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 110-117
summary	Virtual reality provides a heightened sense of immersion and spatial awareness that provides a unique opportunity for designers to perceive and evaluate scale and space. At the same time, traditional sketches and small-size physical models provide tactile feedback that allow designers to create, comprehend, and explore complex geometric relationships. Through the development of vSpline, a modeling application for virtual reality, we explore the potential for design within a virtual spatial environment to blur the boundaries between digital and physical stages of design, and seek to combine the best of both virtual and analog worlds. By using spline-based closed meshes created directly in three-dimensional space, our software provides the capabilities to design, modify, and save the information in the virtual world and seamlessly convert the data to evaluate the printing of 3D physical models. We identify and discuss important questions that arise regarding relationships of perception of scale, digital-to-physical domains, and new methods of input and manipulation within a 3D immersive space.
keywords	design methods; information processing; hci; vr; ar; mixed reality; digital craft; manual craft
series	ACADIA
email
last changed	2022/06/07 07:54

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