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 ecaade2021_257
id ecaade2021_257
authors Cichocka, Judyta Maria, Loj, Szymon and Wloczyk, Marta Magdalena
year 2021
title A Method for Generating Regular Grid Configurations on Free-From Surfaces for Structurally Sound Geodesic Gridshells
doi https://doi.org/10.52842/conf.ecaade.2021.2.493
source Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 493-502
summary Gridshells are highly efficient, lightweight structures which can span long distances with minimal use of material (Vassallo & Malek 2017). One of the most promising and novel categories of gridshells are bending-active (elastic) systems (Lienhard & Gengnagel 2018), which are composed of flexible members (Kuijenhoven & Hoogenboom 2012). Timber elastic gridshells can be site-sprung or sequentially erected (geodesic). While a lot of research focus is on the site-sprung ones, the methods for design of sequentially-erected geodesic gridshells remained underdeveloped (Cichocka 2020). The main objective of the paper is to introduce a method of generating regular geodesic grid patterns on free-form surfaces and to examine its applicability to design structurally feasible geodesic gridshells. We adopted differential geometry methods of generating regular bidirectional geodesic grids on free-form surfaces. Then, we compared the structural performance of the regular and the irregular grids of the same density on three free-form surfaces. The proposed method successfully produces the regular geodesic grid patterns on the free-form surfaces with varying curvature-richness. Our analysis shows that gridshells with regular grid configurations perform structurally better than those with irregular patterns. We conclude that the presented method can be readily used and can expand possibilities of application of geodesic gridshells.
keywords elastic timber gridshell; bending-active structure; grid configuration optimization; computational differential geometry; material-based design methodology; free-form surface; pattern; geodesic
series eCAADe
email
last changed 2022/06/07 07:56

_id acadia20_66
id acadia20_66
authors Aviv, Dorit; Wang, Zherui; Meggers, Forrest; Ida, Aletheia
year 2020
title Surface Generation of Radiatively-Cooled Building Skin for Desert Climate
doi https://doi.org/10.52842/conf.acadia.2020.1.066
source ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 66-73.
summary A radiatively cooled translucent building skin is developed for desert climates, constructed out of pockets of high heat-capacity liquids. The liquids are contained by a wavelength-selective membrane enclosure, which is transmissive in the infrared range of electromagnetic radiation but reflective in the shortwave range, and therefore prevents overheating from solar radiation and at the same time allows for passive cooling through exposure of its thermal mass to the desert sky. To assess the relationship between the form and performance of this envelope design, we develop a feedback loop between computational simulations, analytical models, and physical tests. We conduct a series of simulations and bench-scale experiments to determine the thermal behavior of the proposed skin and its cooling potential. Several materials are considered for their thermal storage capacity. Hydrogel cast into membrane enclosures is tested in real climate conditions. Slurry phase change materials (PCM) are also considered for their additional heat storage capacity. Challenges of membrane welding patterns and nonuniform expansion of the membrane due to the weight of the enclosed liquid are examined in both digital simulations and physical experiments. A workflow is proposed between the radiation analysis based on climate data, the formfinding simulations of the elastic membrane under the liquid weight, and the thermal storage capacity of the overall skin.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

_id acadia20_536
id acadia20_536
authors Bruscia, Nicholas
year 2020
title Structural Papercuts
doi https://doi.org/10.52842/conf.acadia.2020.1.536
source ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 536-545.
summary This paper reviews and explores the topological properties of surface disclinations applied to elastic sheets and suggests how these properties may be reproduced at an architectural scale. A variety of surface disclinations and their translation from digital and physical formfinding processes to thin plywood prototypes are discussed. Initial phases of this research have been focused on the bending behavior of various sheet disclination types and have studied a variety of computational form-finding techniques that demonstrate this behavior in an architectural workflow. Several large-scale prototypes of architectural disclinations were produced to test the scalability of topologically induced surface curvature, discussed within the context of bending-active plate structures.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

_id caadria2020_347
id caadria2020_347
authors Budig, Michael, Heckmann, Oliver, Ng Qi Boon, Amanda, Hudert, Markus, Lork, Clement and Cheah, Lynette
year 2020
title Data-driven Embodied Carbon Evaluation of Early Building Design Iterations
doi https://doi.org/10.52842/conf.caadria.2020.2.303
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. 303-312
summary In the early design phases, Life Cycle Assessment can assist project stakeholders in making informed decisions on choosing structural systems and materials with an awareness of environmental sustainability through their embodied carbon content; yet embodied carbon is difficult to quantify without detailed design information in the early design stages. In response, this paper proposes a novel data-driven tool, prior to the definition of floor plan layouts to perform embodied carbon evaluation of existing building designs based on a Bayesian Neural Network (BNN) regression. The BNN is built from data drawn from existing floor plans of residential buildings, and predicts material volume and embodied carbon from generic design parameters typical in the early design stage. Users will be able to interact with the tool in Grasshopper or as an online resource, input generic design parameters, and obtain comparative visualizations based on the choice of a construction system and its environmental sustainability in a 'shoebox' interface - a simplified three-dimensional representation of a building's primary spatial units generated with the tool.
keywords Regression; Bayesian Neural Network; High-Rise Residential Buildings
series CAADRIA
email
last changed 2022/06/07 07:54

_id sigradi2020_203
id sigradi2020_203
authors Chiarella, Mauro; Gronda, Ma. Luciana; Veizaga, Martín W.
year 2020
title FLEXO.IN-FORM. Laminary envelopes to active flexion through geometric-material optimization processes
source SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 203-208
summary Flexo.In-Form. is a prototype derived from an experimental exercise to verify the structural effort of active flexion. Bending behavior is used as a design tool applied to structures that base their geometry on the elastic deformation of flat elements. Through "Integrative Processes" and a "Performance-Oriented Design Approach", the operational relationship between active mechanical mechanisms, material performance and geometric design has been enhanced. The proposed geometric and material optimization process extends the experiences with physical models of complex shapes through computational numerical calculation and its possibilities of simulation and digital evaluation.
keywords Performance, Form-finding, Parametric Design, Physical Simulation, Digital Manufacturing
series SIGraDi
email
last changed 2021/07/16 11:48

_id acadia20_564
id acadia20_564
authors Cutajar, Sacha; Costalonga Martins, Vanessa; van der Hoven, Christo; Baszyñski, Piotr; Dahy, Hanaa
year 2020
title Towards Modular Natural Fiber-Reinforced Polymer Architecture
doi https://doi.org/10.52842/conf.acadia.2020.1.564
source ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 564-573.
summary Driven by the ecological crisis looming over the 21st century, the construction sector must urgently seek alternative design solutions to current building practices. In the wake of emergent digital technologies and novel material strategies, this research proposes a lightweight architectural solution using natural fiber-reinforced polymers (NFRP), which elicit interest for their inherent renewability as compared to high-performance yarns. Two associated fabrication techniques are deployed: tailored fiber placement (TFP) and coreless filament winding (CFW), both favored for their additive efficiencies granted by strategic material placement. A hypothesis is formed, postulating that their combination can leverage the standalone complexities of molds and frames by integrating them as active structural elements. Consequently, the TFP enables the creation of a 2D stiffness-controlled preform to be bent into a permanent scaffold for winding rigid 3D fiber bodies via CFW. A proof of concept is generated via the small-scale prototyping and testing of a stool, with results yielding a design of 1 kg capable of carrying 100 times its weight. Laying the groundwork for a scaled-up architectural proposal, the prototype instigates alterations to the process, most notably the favoring of a modular global design and lapped preform technique. The research concludes with a discussion on the resulting techno-implications for automation, deployment, material life cycle, and aesthetics, rekindling optimism towards future sustainable practices.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

_id acadia20_688
id acadia20_688
authors del Campo, Matias; Carlson, Alexandra; Manninger, Sandra
year 2020
title 3D Graph Convolutional Neural Networks in Architecture Design
doi https://doi.org/10.52842/conf.acadia.2020.1.688
source ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 688-696.
summary The nature of the architectural design process can be described along the lines of the following representational devices: the plan and the model. Plans can be considered one of the oldest methods to represent spatial and aesthetic information in an abstract, 2D space. However, to be used in the design process of 3D architectural solutions, these representations are inherently limited by the loss of rich information that occurs when compressing the three-dimensional world into a two-dimensional representation. During the first Digital Turn (Carpo 2013), the sheer amount and availability of models increased dramatically, as it became viable to create vast amounts of model variations to explore project alternatives among a much larger range of different physical and creative dimensions. 3D models show how the design object appears in real life, and can include a wider array of object information that is more easily understandable by nonexperts, as exemplified in techniques such as building information modeling and parametric modeling. Therefore, the ground condition of this paper considers that the inherent nature of architectural design and sensibility lies in the negotiation of 3D space coupled with the organization of voids and spatial components resulting in spatial sequences based on programmatic relationships, resulting in an assemblage (DeLanda 2016). These conditions constitute objects representing a material culture (the built environment) embedded in a symbolic and aesthetic culture (DeLanda 2016) that is created by the designer and captures their sensibilities.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

_id caadria2020_402
id caadria2020_402
authors Ezzat, Mohammed
year 2020
title A Framework for a Comprehensive Conceptualization of Urban Constructs - SpatialNet and SpatialFeaturesNet for computer-aided creative urban design
doi https://doi.org/10.52842/conf.caadria.2020.2.111
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. 111-120
summary Analogy is thought to be foundational for designing and for design creativity. Nonetheless, practicing analogical reasoning needs a knowledge-base. The paper proposes a framework for constructing a knowledge-base of urban constructs that builds on an ontology of urbanism. The framework is composed of two modules that are responsible for representing either the concepts or the features of any urban constructs' materialization. The concepts are represented as a knowledge graph (KG) named SpatialNet, while the physical features are represented by a deep neural network (DNN) called SpatialFeaturesNet. For structuring SpatialNet, as a KG that comprehensively conceptualizes spatial qualities, deep learning applied to natural language processing (NLP) is employed. The comprehensive concepts of SpatialNet are firstly discovered using semantic analyses of nine English lingual corpora and then structured using the urban ontology. The goal of the framework is to map the spatial features to the plethora of their matching concepts. The granularity ànd the coherence of the proposed framework is expected to sustain or substitute other known analogical, knowledge-based, inspirational design approaches such as case-based reasoning (CBR) and its analogical application on architectural design (CBD).
keywords Domain-specific knowledge graph of urban qualities; Deep neural network for structuring KG; Natural language processing and comprehensive understanding of urban constructs; Urban cognition and design creativity; Case-based reasoning (CBR) and case-based design (CBD)
series CAADRIA
email
last changed 2022/06/07 07:55

_id ecaade2020_456
id ecaade2020_456
authors Farinea, Chiara, Awad, Lana, Dubor, Alex and El Atab, Mohamad
year 2020
title Integrating biophotovoltaic and cyber-physical technologies into a 3D printed wall
doi https://doi.org/10.52842/conf.ecaade.2020.2.463
source Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 463-472
summary The research presented in this paper investigates the development of "3D printed ceramic green wall", a technological Nature Based Solution (NBS) aimed at regenerating urban areas by improving spatial quality and sustainability through clean and autonomous energy production. Building upon previous research, the challenge of this system is to adapt additive manufacturing processes of ceramic 3D printing with biophotovoltaic systems while simultaneously developing digital and cyber-physical frameworks to generate site and user responsive design and autonomous solutions that optimize system performance and energy generation. The paper explores the complex design negotiations between these drivers, focusing particularly on their performance optimization, and finally highlights the system potential as exemplified through a successful implementation of a 1:1 site responsive wall prototype.
keywords Nature based solutions; biophotovoltaic systems; additive manufacturing; responsive design; cyber-physical networks; augmented reality
series eCAADe
email
last changed 2022/06/07 07:55

_id caadria2020_066
id caadria2020_066
authors Gaudilliere, Nadja
year 2020
title Computational Tools in Architecture and Their Genesis: The Development of Agent-based Models in Spatial Design
doi https://doi.org/10.52842/conf.caadria.2020.2.497
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. 497-506
summary Based on the assumption that socio-technical networks of computation in architecture exist and must be analyzed deeper in order to understand the impact of algorithmic tools on the design process, the present paper offers a foray into it, drawing on science studies methodologies. The research explores in what regard multi-agent systems (MAS) are representative as much from the existence of these socio-technical networks as of how their development influences the tension between tacit and explicit knowledge at play in procedural design processes and of the strategies architectural designers develop to resolve this tension. A methodology of analysis of these phenomena is provided as well as results of the application of this method to MAS, leading to a better understanding of their development and impact in CAAD in the past two decades. Tactics of resolution shaped by early MAS users enable, through a double appropriation, a skillful implementation of architectural practice. Furthermore, their approach partially circumvents the establishment of technical biases tied to this algorithmic typology, at the cost of a lesser massive democratization of the algorithmic tools developed in relation to it.
keywords Computational tools; multi-agent system; architectural practice; tacit knowledge; digital heritage
series CAADRIA
email
last changed 2022/06/07 07:51

_id acadia20_416
id acadia20_416
authors Genadt, Ariel
year 2020
title Discrete Continuity in the Urban Architectures of H. Hara & K. Kuma
doi https://doi.org/10.52842/conf.acadia.2020.1.416
source ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 416-424.
summary The 2020 pandemic has laid bare the ambiguous value of the virtual proximity that distributed computing enables. The remote interaction it ushered in at an unprecedented scale also spawned social isolation, which is symbolically underscored by the reliance of this form of connectivity on individuals’ discrete digital identification. This cyber-spatial dualism may be called ‘discrete continuity,’ and it already appeared in architectural thought in the 1960s with the advent of cybernetics and the first computers. The duality resurfaced in the 1990s in virtual projects, when architectural software was first widely commercialized, and it reappeared in built form in the past decade. This paper sheds light on the architectural aspects of this conceptual duality by identifying the use of discreteness and continuity in the theories of two Japanese architects, Hiroshi Hara (b.1936) and his former student, Kengo Kuma (b.1954), in their attempts to combine the two topological conditions as metaphors of societal structures. They demonstrate that the onset of the current condition, while new in its pervasiveness, has been latent in architectural thinking for several decades. This paper examines Hara’s and Kuma’s theories in light of the author’s interviews with the architects, their writings, and specific projects that illustrate metaphoric translations of topological terms into social structures, reflected in turn in the organization of urban schemes and building parts. While Hara’s and Kuma’s respective implementations are poles apart visually and materially, they share the idea that the discrete continuity of contemporary urban experience ought to be reflected in architecture. This link between their ideas has previously been overlooked.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

_id acadia20_658
id acadia20_658
authors Ho, Brian
year 2020
title Making a New City Image
doi https://doi.org/10.52842/conf.acadia.2020.1.658
source ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 658-667.
summary This paper explores the application of computer vision and machine learning to streetlevel imagery of cities, reevaluating past theory linking urban form to human perception. This paper further proposes a new method for design based on the resulting model, where a designer can identify areas of a city tied to certain perceptual qualities and generate speculative street scenes optimized for their predicted saliency on labels of human experience. This work extends Kevin Lynch’s Image of the City with deep learning: training an image classification model to recognize Lynch’s five elements of the city image, using Lynch’s original photographs and diagrams of Boston to construct labeled training data alongside new imagery of the same locations. This new city image revitalizes past attempts to quantify the human perception of urban form and improve urban design. A designer can search and map the data set to understand spatial opportunities and predict the quality of imagined designs through a dynamic process of collage, model inference, and adaptation. Within a larger practice of design, this work suggests that the curation of archival records, computer science techniques, and theoretical principles of urbanism might be integrated into a single craft. With a new city image, designers might “see” at the scale of the city, as well as focus on the texture, color, and details of urban life.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

_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 ecaade2020_246
id ecaade2020_246
authors Kozikoglu, Nilüfer, Çebi, Pelin Dursun, Yazar, Tugrul, Balaban, Büºra, Üneºi, Ogulcan and Erden, Melike Sena
year 2020
title Dynamic Architectural Canvas - Designing a relational mapping based architectural design tool
doi https://doi.org/10.52842/conf.ecaade.2020.1.229
source Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 229-238
summary Configuration of spatial set-up is a major act in the architectural design process. Configuration implies a set of relationships among the spatial elements that can be represented as a network pattern. This kind of spatial network is significant for architectural design as it reveals social implications by mapping interactions between users, indicating functional and latent routes and spatial proximities. This paper concentrates on network thinking in architecture and presents the development of a new software plugin and compares the plugin to similar software studies that allow coding spatial networks and exploring their potentials. The experimental study is also tested by student workshops, explains the motives for the plug-in currently prototyped as a Grasshopper definition and how-it-works.
keywords Space syntax; Network thinking; Scenario based Design; Evidence based architectural design
series eCAADe
email
last changed 2022/06/07 07:51

_id sigradi2020_516
id sigradi2020_516
authors Lima, Mariana Quezado Costa; Moreira, Eugenio; Farias, Sarah; Freitas, Clarissa Figueiredo Sampaio
year 2020
title A data-driven approach to inform planning process in informal settlements
source SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 516-521
summary Official data on informal settlements are outdated, scarce, and sometimes nonexistent. Also, existing digital tools to produce spatial data on urban form are not prepared to deal with their degree of heterogeneity. We then propose a method to obtain, structure and analyze georeferenced data, aiming to support participatory planning of precarious settlements in Brazil. The results include mapping basic elements of urban form and also automatic extraction of urban parameters. The method proved relevant to allow not only the collaboration between team members but also the dialogue with community members, revealing its role in fostering a transformative design process.
keywords City Information Modeling, Parametric modeling, Informal settlements, Geographic Information System
series SIGraDi
email
last changed 2021/07/16 11:52

_id ecaade2020_511
id ecaade2020_511
authors Maierhofer, Mathias, Ulber, Marie, Mahall, Mona, Serbest, Asli and Menges, Achim
year 2020
title Designing (for) Change - Towards adaptivity-specific architectural design for situational open Environments
doi https://doi.org/10.52842/conf.ecaade.2020.2.575
source Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 575-584
summary The introduction of cybernetic principles to the architectural discourse some 50 years ago stimulated a new notion of buildings as dynamic and under-specified systems. Although their traditional conception as static and deterministic objects has remained predominant to this day, concepts for adaptive architecture capable of interacting with their surroundings and occupants have gained renewed attention in recent decades. However, investigations so far have largely concentrated on small-scale applications or individual adaptation strategies. The notion of situational open Environments, as argued in this paper, provides a framework through which adaptivity can be conceived and explored more holistically as well as on an inhabitable scale. Environments reject deterministic design and adaptation solutions and hence call for integrative and interactive design strategies that not only allow for the exploration of particularly adaptable (i.e. underspecified) architectural morphologies, but also for the communication and negotiation during their further development beyond deployment. In respect thereof, this paper discusses the potentials and implications of computational (design) strategies, meaning the agencies of buildings, designers, residents, and surroundings. The presented research originates from the author's involvement in an interdisciplinary research project centered around the development of an adaptive high-rise building that incorporates various adaptation strategies.
keywords Adaptive Architecture; Architectural Environment; Computational Design; Agent-based Modeling; Architecture Theory; Cybernetics
series eCAADe
email
last changed 2022/06/07 07:59

_id caadria2020_384
id caadria2020_384
authors Patt, Trevor Ryan
year 2020
title Spectral Clustering for Urban Networks
doi https://doi.org/10.52842/conf.caadria.2020.2.091
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. 91-100
summary As planetary urbanization accelerates, the significance of developing better methods for analyzing and making sense of complex urban networks also increases. The complexity and heterogeneity of contemporary urban space poses a challenge to conventional descriptive tools. In recent years, the emergence of urban network analysis and the widespread availability of GIS data has brought network analysis methods into the discussion of urban form. This paper describes a method for computationally identifying clusters within urban and other spatial networks using spectral analysis techniques. While spectral clustering has been employed in some limited urban studies, on large spatialized datasets (particularly in identifying land use from orthoimages), it has not yet been thoroughly studied in relation to the space of the urban network itself. We present the construction of a weighted graph Laplacian matrix representation of the network and the processing of the network by eigen decomposition and subsequent clustering of eigenvalues in 4d-space.In this implementation, the algorithm computes a cross-comparison for different numbers of clusters and recommends the best option based on either the 'elbow method,' or by "eigen gap" criteria. The results of the clustering operation are immediately visualized on the original map and can also be validated numerically according to a selection of cluster metrics. Cohesion and separation values are calculated simultaneously for all nodes. After presenting these, the paper also expands on the 'silhouette' value, which is a composite measure that seems especially suited to urban network clustering.This research is undertaken with the aim of informing the design process and so the visualization of results within the active 3d model is essential. Within the paper, we illustrate the process as applied to formal grids and also historic, vernacular urban fabric; first on small, extract urban fragments and then over an entire city networks to indicate the scalability.
keywords Urban morphology; network analysis; spectral clustering; computation
series CAADRIA
email
last changed 2022/06/07 07:59

_id acadia20_188p
id acadia20_188p
authors Puckett , Nick
year 2020
title Pulse V2
source ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 188-191
summary Pulse v2 is an interactive installation designed to investigate how real-time lidar data can be used to develop new spatial relationships between people and an autonomous digital agent through dynamic visual expressions. The first iteration of this research, Pulse v1, used a single point lidar with a 160o FOV in conjunction with 240 servo-actuated antennas that visualized the position and movement of visitors via their vibrations. This second iteration blends digital and physical materiality to create a synthetic organism that fully integrates sensing, computation, and response into its form. Simultaneously, the raw data feed it “sees” is projected onto the wall in real-time, allowing visitors to experience both the response and the logic. The data feed is supplied by a 360o FOV, 2d lidar scanner. This type of scanner is typically used by small autonomous robots to map and navigate their environments. However, in this installation, the relationship is inverted to allow a stationary agent to respond to a dynamically changing environment. The sensor is mounted under the displays and provides a real-time slice of the space at the height of 20cm. An algorithm filters this data stream into trackable blobs by recognizing people via their ankles. The agent analyzes this stream of data and filters it through a series of micro and macro expressions that play out on the screen in the form of a digital microorganism.
series ACADIA
type project
email
last changed 2021/10/26 08:08

_id caadria2020_048
id caadria2020_048
authors Pung, Derek, Bui, Do Phuong Tung and Janssen, Patrick
year 2020
title Automated Grading of Parametric Modelling Assignments - A Spatial Computational Thinking Course
doi https://doi.org/10.52842/conf.caadria.2020.2.323
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. 323-332
summary This paper describes the implementation and deployment of an automated grader used to facilitate the teaching of a spatial computational thinking course on the online education platform, edX. Over the period of a course on the platform, more than 3000 assignments were graded. As an evaluation of the grader, examples of assignments and statistical results are presented and discussed.
keywords Automated Assessment; Parametric Modelling; MOOC
series CAADRIA
email
last changed 2022/06/07 08:00

_id acadia20_340
id acadia20_340
authors Soana, Valentina; Stedman, Harvey; Darekar, Durgesh; M. Pawar, Vijay; Stuart-Smith, Robert
year 2020
title ELAbot
doi https://doi.org/10.52842/conf.acadia.2020.1.340
source ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 340-349.
summary This paper presents the design, control system, and elastic behavior of ELAbot: a robotic bending active textile hybrid (BATH) structure that can self-form and transform. In BATH structures, equilibrium emerges from interaction between tensile (form active) and elastically bent (bending active) elements (Ahlquist and Menges 2013; Lienhard et al. 2012). The integration of a BATH structure with a robotic actuation system that controls global deformations enables the structure to self-deploy and achieve multiple three-dimensional states. Continuous elastic material actuation is embedded within an adaptive cyber-physical network, creating a novel robotic architectural system capable of behaving autonomously. State-of-the-art BATH research demonstrates their structural efficiency, aesthetic qualities, and potential for use in innovative architectural structures (Suzuki and Knippers 2018). Due to the lack of appropriate motor-control strategies that exert dynamic loading deformations safely over time, research in this field has focused predominantly on static structures. Given the complexity of controlling the material behavior of nonlinear kinetic elastic systems at an architectural scale, this research focuses on the development of a cyber-physical design framework where physical elastic behavior is integrated into a computational design process, allowing the control of large deformations. This enables the system to respond to conditions that could be difficult to predict in advance and to adapt to multiple circumstances. Within this framework, control values are computed through continuous negotiation between exteroceptive and interoceptive information, and user/designer interaction.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

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