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	acadia20_48
id	acadia20_48
authors	Schofield, Alex
year	2020
title	Coral Carbonate
doi	https://doi.org/10.52842/conf.acadia.2020.1.048
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. 48-57.
summary	This work-in-progress paper describes a body of research that utilizes the invention and application of a novel method to 3D-print calcium carbonate (CaCO3). The resultant 3D-printed objects can be computationally optimized and used as a scaffold for the growth of various aquatic life that exists at the interface of soft edges and the built, specifically (but not limited to) coral polyps. Rather than utilizing materials designed for anthropocentric terrestrial environments, we can harness materials and forms native to aquatic ecosystems in combination with advanced computation and fabrication techniques to help foster applied research in service to healthier ecosystems and cohabitation. This paper introduces the novel application of a 3D-printed calcium carbonate, mimicking a similar material composition to that of coral, and describes the additive manufactured medium with regard to 3D powder-printing methodologies. Hypothesis and proposal of morphogenesis in surface and volume are identified as key factors for interface with aquatic organisms. Current and future applications are additionally exhibited through a combination of material composition, surface, and form as targeted intervention and artificial restoration for aquatic ecosystems. While our planet requires anthropocentric mitigation strategies for reduction of greenhouse gases that contribute to aquatic life’s greatest threats, we must simultaneously develop strategies for adaptation that immediately respond to the current realities of a changing climate.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ijac202018403
id	ijac202018403
authors	Dagmar Reinhardt, Matthias Hank Haeusler, Kerry London, Lian Loke, Yingbin Feng, Eduardo De Oliveira Barata, Charlotte Firth, Kate Dunn, Nariddh Khean, Alessandra Fabbri, Dylan Wozniak-O’Connor and Rin Masuda
year	2020
title	CoBuilt 4.0: Investigating the potential of collaborative robotics for subject matter experts
source	International Journal of Architectural Computing vol. 18 - no. 4, 353–370
summary	Human-robot interactions can offer alternatives and new pathways for construction industries, industrial growth and skilled labour, particularly in a context of industry 4.0. This research investigates the potential of collaborative robots (CoBots) for the construction industry and subject matter experts; by surveying industry requirements and assessments of CoBot acceptance; by investing processes and sequences of work protocols for standard architecture robots; and by exploring motion capture and tracking systems for a collaborative framework between human and robot co-workers. The research investigates CoBots as a labour and collaborative resource for construction processes that require precision, adaptability and variability.Thus, this paper reports on a joint industry, government and academic research investigation in an Australian construction context. In section 1, we introduce background data to architecture robotics in the context of construction industries and reports on three sections. Section 2 reports on current industry applications and survey results from industry and trade feedback for the adoption of robots specifically to task complexity, perceived safety, and risk awareness. Section 3, as a result of research conducted in Section 2, introduces a pilot study for carpentry task sequences with capture of computable actions. Section 4 provides a discussion of results and preliminary findings. Section 5 concludes with an outlook on how the capture of computable actions provide the foundation to future research for capturing motion and machine learning.
keywords	Industry 4.0, collaborative robotics, on-site robotic fabrication, industry research, machine learning
series	journal
email
last changed	2021/06/03 23:29

_id	acadia20_708
id	acadia20_708
authors	Charbel, Hadin; López Lobato, Déborah
year	2020
title	Between Signal and Noise
doi	https://doi.org/10.52842/conf.acadia.2020.1.708
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. 708-718.
summary	Climate change continues to have noticeable and accelerated impacts on various territories. Previously predictable and recognizable patterns used by humans and nonhumans alike are perpetually being altered, turning localized signals into noise and effectively disrupting indigenous modes of life. While the use of certain technologies such as data collection, machine learning, and automation can render these otherwise patternless information streams into intelligible content, they are generally associated as being “territorializing,” as an increase in resolution generally lends itself to control, exploitation, and colonization. Contrarily, indigenous groups with long-lasting relationships that have evolved over time have distinct ways of reading and engaging with their contexts, developing sustainable practices that, while effective, are often overlooked as being compatible with contemporary tools. This paper examines how the use of traditionally territorializing technologies can be paired with indigenous knowledge and protocols in order to operate between signal and noise, rendering perverse changes in the landscape comprehensible while also presenting their applications as a facet for sociopolitical, cultural, and ecological adaptation. A methodology defined as “decoding” and “recoding” presents four distinct case studies in the Arctic, addressing various scales and targets with the aim of disrupting current trends in order to grant and/or retain autonomy through what can be read as a form of preservation via augmented adaptation.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2020_009
id	ecaade2020_009
authors	Reaver, Kai
year	2020
title	After Imagery - Evaluating the use of mixed reality (MR) in urban planning
doi	https://doi.org/10.52842/conf.ecaade.2020.1.187
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. 187-196
summary	While many researchers have developed interesting use cases for Mixed Reality (MR) in urban environments, the paper argues that determining the long-term viability of such applications as planning tools will likely require evaluating whether such applications are compatible with the democratically mandated procedures in Urban Planning. The paper compares this claim to current debates regarding the legality of the use of digital imagery in Urban Planning today. The paper elaborates these arguments through case studies done in Oslo, Norway in the context of developing the "Nordic Digital City". The case studies involve the use of MR in 1) a public competition, 2) a regulation plan, and 3) a building permit. The study thus presents some of the benefits and challenges of using these technologies in such a manner, particularly regarding accuracy, user feedback, and robustness as a common interface. The paper concludes that MR offers several benefits to Urban Planning, but will likely require a highly digitized competent public sector in order to function, in addition to requiring negotiation between the required user data and user privacy rights, suggesting that MR development may migrate from a primarily technical domain to a matter of public policy.
keywords	Mixed Reality; Urban Planning; Urbanism; Augmented Reality
series	eCAADe
email
last changed	2022/06/07 08:00

_id	acadia20_38
id	acadia20_38
authors	Mueller, Stephen
year	2020
title	Irradiated Shade
doi	https://doi.org/10.52842/conf.acadia.2020.1.038
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. 38-46.
summary	The paper details computational mapping and modeling techniques from an ongoing design research project titled Irradiated Shade, which endeavors to develop and calibrate a computational toolset to uncover, represent, and design for the unseen dangers of ultraviolet radiation, a growing yet underexplored threat to cities, buildings, and the bodies that inhabit them. While increased shade in public spaces has been advocated as a strategy for “mitigation [of] climate change” (Kapelos and Patterson 2014), it is not a panacea to the threat. Even in apparent shade, the body is still exposed to harmful, ambient, or “scattered” UVB radiation. The study region is a binational metroplex, a territory in which significant atmospheric pollution and the effects of climate change (reduced cloud cover and more “still days” of stagnant air) amplify the “scatter” of ultraviolet wavelengths and UV exposure within shade, which exacerbates urban conditions of shade as an “index of inequality” (Bloch 2019) and threatens public health. Exposure to indirect radiation correlates to the amount of sky visible from the position of an observer (Gies and Mackay 2004). The overall size of a shade structure, as well as the design of openings along its sides, can greatly impact the UV protection factor (UPF) (Turnbull and Parisi 2005). Shade, therefore, is more complex than ubiquitous urban and architectural “sun” and “shadow studies” are capable of representing, as such analyses flatten the three-dimensional nature of radiation exposure and are “blind” to the ultraviolet spectrum. “Safe shade” is contingent on the nuances of the surrounding built environment, and designers must be empowered to observe and respond to a wider context than current representational tools allow.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2021_318
id	caadria2021_318
authors	Schnabel, Marc Aurel, Kobayashi, Yoshihiro, Pencreach, Yoann, Bennadji, Amar, Choi, Dongsoo, Fiamma, Paolo, Fukuda, Tomohiro, Lo, Tian Tian, Narahara, Taro, Novak, Marcos, Ron, Ruth, Swarts, Matthew, Terzidis, Kostas, Tucker, Thomas and Vital, Rebeka
year	2021
title	Virtual World16 - Virtual Design Collaboration for the Intersection of Academia and Industry
doi	https://doi.org/10.52842/conf.caadria.2021.2.203
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 203-212
summary	Over the past 13 years, the 'World16'-group has collaborated face-to-face on various challenges that architectural design faces within VR, architecture, urban design, and its delivery to the professional industries. The focus of the collaboration is to foster pathways of academic research and developments to industries and professions. In 2020, due to the restrictions of the pandemic, the group had to rethink and redevelop how to collaborate meaningfully and become resilient: the World16 collaborated akin to the Virtual Design Studios (VDS) of the Nineties for the first time exclusively virtually becoming the 'Virtual World16'. The paper presents the group's various projects that are transformative to the praxis in VR architecture, design and urban design, and critically reflects on the lessons learned from VDS-paradigm.
keywords	Virtual Design Studio (VDS); Human-Computer Interaction (HCI); VR,AR,XR; Collaboration; 3D City Modelling
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ijac202018303
id	ijac202018303
authors	Pedersen, Jens; Narendrakrishnan Neythalath, Jay Hesslink, Asbjørn Søndergaard and Dagmar Reinhardt
year	2020
title	Augmented drawn construction symbols: A method for ad hoc robotic fabrication
source	International Journal of Architectural Computing vol. 18 - no. 3, 254-269
summary	The global construction industry is one the least productive sectors over a 30-year period, which arguably could be related to virtually no implementation of digital and automation technologies within the construction industry. Construction processes arguably consist of expensive manual labor or manual operation of mechanized processes, where hand-drawn markings on work-objects or partly build structures are used to inform and steer the construction process or allows for ad hoc adjustments of elements. As such, the use of on-object, hand-drawn information is considered integral to the modus operandi of a plurality of construction trades, where timber construction and carpentry are of special interest. In contrast, emerging methods of digital production in timber construction implicitly or explicitly seek to eliminate the interpretive component to the construction work, imposing a top-down paradigm of file-to-factory execution. While such systems offer a performance increase compared to manual labor, it is notoriously sensitive to construction tolerances and requires a high level of specialism to be operated, which could alienate craft-educated workers. This research argues that developing methods for digital production compatible with on- site human interpretation and adaptation can help overcome these challenges. In addition, these methods offer the opportunity to increase the robustness and versatility of digital fabrication in the context of the construction site. The article reports on a new method titled “augmented drawn construction symbols” that through a visual communication system converts on-object hand-drawn markings to CAD drawings and sends them to a robotic system. The process is demonstrated on a full-scale prototypical robot setup.
keywords	Augmented reality, augmented robotics, computational craft, human machine interface
series	other
type	normal paper
email
last changed	2020/11/02 13:40

_id	caadria2020_281
id	caadria2020_281
authors	Abdelmohsen, Sherif and Hassab, Ahmed
year	2020
title	A Computational Approach for the Mass Customization of Materially Informed Double Curved A Computational Approach for the Mass Customization of Materially Informed Double Curved Façade Panels
doi	https://doi.org/10.52842/conf.caadria.2020.1.163
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 163-172
summary	Despite recent approaches to enable the mass customization of double curved faÃ§ade panels, there still exist challenges including waste reduction, accuracy, surface continuity, economic feasibility, and workflow disintegration. This paper proposes a computational approach for the design and fabrication of materially informed double curved faÃ§ade panels with complex geometry. This approach proposes an optimized workflow to generate customizable double curved panels with complex geometry and different material properties, and optimize fabrication workflow for waste reduction. This workflow is applied to four different fabrication techniques: (1) vacuum forming, (2) clay extrusion, (3) sectioning, and (4) tessellation. Four experiments are introduced to apply surface rationalization and optimization using Rhino and Grasshopper scripting. Upon simulating each of the four design-to-fabrication techniques through different iterations, the experiment results demonstrated how the proposed workflows produced optimized surfaces with higher levels of accuracy and reduced waste material, customized per type of material and surface complexity.
keywords	Digital fabrication; Double curved facades; Mass customization; Design-to-fabrication
series	CAADRIA
type	normal paper
email
last changed	2022/06/07 07:54

_id	caadria2020_443
id	caadria2020_443
authors	Abuzuraiq, Ahmed M. and Erhan, Halil
year	2020
title	The Many Faces of Similarity - A Visual Analytics Approach for Design Space Simplification
doi	https://doi.org/10.52842/conf.caadria.2020.1.485
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 485-494
summary	Generative design methods may involve a complex design space with an overwhelming number of alternatives with their form and design performance data. Existing research addresses this complexity by introducing various techniques for simplification through clustering and dimensionality reduction. In this study, we further analyze the relevant literature on design space simplification and exploration to identify their potentials and gaps. We find that the potentials include: alleviating the choice overload problem, opening up new venues for interrelating design forms and data, creating visual overviews of the design space and introducing ways of creating form-driven queries. Building on that, we present the first prototype of a design analytics dashboard that combines coordinated and interactive visualizations of design forms and performance data along with the result of simplifying the design space through hierarchical clustering.
keywords	Visual Analytics; Design Exploration; Dimensionality Reduction; Clustering; Similarity-based Exploration
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	acadia20_516
id	acadia20_516
authors	Aghaei Meibodi, Mania; Voltl, Christopher; Craney, Ryan
year	2020
title	Additive Thermoplastic Formwork for Freeform Concrete Columns
doi	https://doi.org/10.52842/conf.acadia.2020.1.516
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. 516-525.
summary	The degree of geometric complexity a concrete element can assume is directly linked to our ability to fabricate its formwork. Additive manufacturing allows fabrication of freeform formwork and expands the design possibilities for concrete elements. In particular, fused deposition modeling (FDM) 3D printing of thermoplastic is a useful method of formwork fabrication due to the lightweight properties of the resulting formwork and the accessibility of FDM 3D printing technology. The research in this area is in early stages of development, including several existing efforts examining the 3D printing of a single material for formwork— including two medium-scale projects using PLA and PVA. However, the performance of 3D printed formwork and its geometric complexity varies, depending on the material used for 3D printing the formwork. To expand the existing research, this paper reviews the opportunities and challenges of using 3D printed thermoplastic formwork for fabricating custom concrete elements using multiple thermoplastic materials. This research cross-references and investigates PLA, PVA, PETG, and the combination of PLA-PVA as formwork material, through the design and fabrication of nonstandard structural concrete columns. The formwork was produced using robotic pellet extrusion and filament-based 3D printing. A series of case studies showcase the increased geometric freedom achievable in formwork when 3D printing with multiple materials. They investigate the potential variations in fabrication methods and their print characteristics when using different 3D printing technologies and printing materials. Additionally, the research compares speed, cost, geometric freedom, and surface resolution.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2020_064
id	ecaade2020_064
authors	Agirbas, Asli
year	2020
title	Building Energy Performance of Complex Forms - Test simulation of minimal surface-based form optimization
doi	https://doi.org/10.52842/conf.ecaade.2020.1.259
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. 259-268
summary	Many optimization tools are developed in line with the form-energy relationship to ensure energy efficiency in buildings. However, such studies with complex forms are very limited. Therefore, the MSO-2 model was developed. In this model, on the roof of the conceptual form, minimal surface is used, thus complex forms can be created. In this model, the conceptual form can be optimized (for one day) according to these objectives: increasing daylight in the space with maximum value limitation, reducing radiation on the roof, and enlarging floor surface area of the conceptual form with minimum value limitation. A test simulation was performed with this model. Thus, in order to find the most optimized form in multi-objective optimization, more generations could be produced in a short time and optimized conceptual forms, which were produced, could be tested for energy efficiency.
keywords	Multi-Objective Optimization; Radiation Analysis; Building energy performance; Daylighting Analysis
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2020_484
id	ecaade2020_484
authors	Aguilar, Pavel, Borunda, Luis and Pardal, Cristina
year	2020
title	Additive Manufacturing of Variable-Density Ceramics, Photocatalytic and Filtering Slats
doi	https://doi.org/10.52842/conf.ecaade.2020.1.097
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. 97-106
summary	Additive Manufacturing (AM) offers the potential development of novel architectural applications of ceramic building components that can be engineered at the level of material to the extent of designing its performance and properties by density variations. This research presents a computational method and fabrication technique emulating complex material behavior via AM of intricate geometries and presents components with photocatalytic and climatic properties. It proposes an innovative application of AM of ceramic components in architecture to explore potential bioclimatic and antipollution performative use. Lattices are defined and manufactured with density variation gradients by tracing rectilinear clay deposition toolpaths that induce porosity intended for fluid filtering and to maximize sun exposure. The design method for photocatalytic, particle filtration and evaporative cooling local characterization introduced by complex patterning elements in architectural envelope slat components processed with radiation analysis influenced design are validated by simulation and experimental testing on specimens manufactured by paste extrusion.
keywords	Ceramic 3D Printing; Paste Extrusion; Photocatalytic Filter; Performative Design
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2020_390
id	ecaade2020_390
authors	Ahmadzadeh Bazzaz, Siamak, Fioravanti, Antonio and Coraglia, Ugo Maria
year	2020
title	Depth and Distance Perceptions within Virtual Reality Environments - A Comparison between HMDs and CAVEs in Architectural Design
doi	https://doi.org/10.52842/conf.ecaade.2020.1.375
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. 375-382
summary	The Perceptions of Depth and Distance are considered as two of the most important factors in Virtual Reality Environments, as these environments inevitability impact the perception of the virtual content compared with the one of real world. Many studies on depth and distance perceptions in a virtual environment exist. Most of them were conducted using Head-Mounted Displays (HMDs) and less with large screen displays such as those of Cave Automatic Virtual Environments (CAVEs). In this paper, we make a comparison between the different aspects of perception in the architectural environment between CAVE systems and HMD. This paper clarifies the Virtual Object as an entity in a VE and also the pros and cons of using CAVEs and HMDs are explained. Eventually, just a first survey of the planned case study of the artificial port of the Trajan emperor near Fiumicino has been done as for COVID-19 an on-field experimentation could not have been performed.
keywords	Visual Perception; Depth and Distance Perception; Virtual Reality; HMD; CAVE; Trajan’s port
series	eCAADe
email
last changed	2022/06/07 07:54

_id	caadria2020_306
id	caadria2020_306
authors	Akizuki, Yuta, Bernhard, Mathias, Kakooee, Reza, Kladeftira, Marirena and Dillenburger, Benjamin
year	2020
title	Generative Modelling with Design Constraints - Reinforcement Learning for Object Generation
doi	https://doi.org/10.52842/conf.caadria.2020.1.445
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 445-454
summary	Generative design has been explored to produce unprecedented geometries, nevertheless design constraints are, in most cases, second-graded in the computational process. In this paper, reinforcement learning is deployed in order to explore the potential of generative design satisfying design objectives. The aim is to overcome the three issues identified in the state of the art: topological inconsistency, less variations in style and unpredictability in design. The goal of this paper is to develop a machine learning framework, which works as an intellectual design interpreter capable of codifying an input geometry to form a new geometry. Experiments demonstrate that the proposed method can generate a family of tables of unique aesthetics, satisfying topological consistency under given constraints.
keywords	generative design; computational design; data-driven design; reinforcement learning; machine learning
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaade2020_427
id	ecaade2020_427
authors	Akçay Kavakoglu, Ayºegül
year	2020
title	Beyond Material - Digital Tectonics of Fabric and Concrete
doi	https://doi.org/10.52842/conf.ecaade.2020.1.089
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. 89-96
summary	Fabric formwork, known as the casting concrete with flexible fabric molds, frees the nature of the material, which is fluidity; hence, its tectonics. This paper examines the tectonics of concrete and fabric through computational design and analog methods. During this examination, fabrigami technique is used to foresee the intuitive act of concrete within the fabric mold concerning the computational model. Fabrigami use in fabric formwork allows the emergence of a dynamic fabric mold system revealing form variations.
keywords	fabric formwork, fabrigami, folding, dynamic mold
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia20_228
id	acadia20_228
authors	Alawadhi, Mohammad; Yan, Wei
year	2020
title	BIM Hyperreality
doi	https://doi.org/10.52842/conf.acadia.2020.1.228
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. 228-236.
summary	Deep learning is expected to offer new opportunities and a new paradigm for the field of architecture. One such opportunity is teaching neural networks to visually understand architectural elements from the built environment. However, the availability of large training datasets is one of the biggest limitations of neural networks. Also, the vast majority of training data for visual recognition tasks is annotated by humans. In order to resolve this bottleneck, we present a concept of a hybrid system—using both building information modeling (BIM) and hyperrealistic (photorealistic) rendering—to synthesize datasets for training a neural network for building object recognition in photos. For generating our training dataset, BIMrAI, we used an existing BIM model and a corresponding photorealistically rendered model of the same building. We created methods for using renderings to train a deep learning model, trained a generative adversarial network (GAN) model using these methods, and tested the output model on real-world photos. For the specific case study presented in this paper, our results show that a neural network trained with synthetic data (i.e., photorealistic renderings and BIM-based semantic labels) can be used to identify building objects from photos without using photos in the training data. Future work can enhance the presented methods using available BIM models and renderings for more generalized mapping and description of photographed built environments.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia23_v1_136
id	acadia23_v1_136
authors	Alima, Natalia
year	2023
title	InterspeciesForms
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 136-143.
summary	The hybridization of architectural, biological and robotic agencies Situated in the field of architectural biodesign, InterspeciesForms explores a closer relationship between the fungus Pleurotus ostreatus and the designer in the creation of form. The intention of hybridizing mycelia’s agency of growth with architectural design intention is to generate novel, non-indexical crossbred designed outcomes that evolve preconceived notions of architectural form. Mycelium are threadlike fibrous root systems made up of hyphae, that form the vegetative part of a fungus (Jones 2020). Known as the hackers of the wood wide web (Simard 1997) mycelia form complex symbiotic relationships with other species that inhabit our earth. Michael Lim states “Fungi redefine resourcefulness, collaboration, resilience and symbiosis” (Lim 2022, p. 14). When wandering around the forest to connect with other species or searching for food, fungi form elaborate and entangled networks by spreading their hyphal tips. Shown in Figure 1, this living labyrinth results in the aesthetic formation of an intricate web. Due to the organisms ability to determine the most effective direction of growth, communicate with its surrounding ecosystem, and connect with other species, fungi are indeed an intelligent species with a unique aesthetic that must not be ignored. In drawing on these concepts, I refer to the organism’s ability to search for, tangle, and digest its surroundings as ‘mycelia agency of growth’. It is this specific behavioral characteristic that is the focus of this research, with which I, as the architect, set out to co-create and hybridize with.
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	caadria2020_046
id	caadria2020_046
authors	Alva, Pradeep, Lee, Han Jie, Lin, Zhuoli, Mehta, Palak, Chen, Jielin and Janssen, Patrick
year	2020
title	Geo-computation for District Planning - An Agile Automated Modelling Approach
doi	https://doi.org/10.52842/conf.caadria.2020.1.793
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 793-802
summary	This paper focuses on developing a novel geo-computational methodology for automating the generation of design options for district planning. The knowledge contribution focuses on the ability of the planners and designers to interact with and override the automated process. This approach is referred to as "agile automated modelling". The approach is demonstrated through a case study in which three adjacent districts are generated with a total area of approximately 1300 hectares. An automated modelling process is implemented based on a set of core planning principles established by the planners. The automated process generates street networks, land parcels, and 3-dimensional urban models. The process is broken down into three steps and users are then able to intervene at the end of every step to override and modify the outputs. This aims to help planners and designers to iteratively generate and assess various planning outcomes.
keywords	Geo-computation; procedural modelling; GIS; planning automation; neural network
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaade2020_193
id	ecaade2020_193
authors	Alymani, Abdulrahman, Jabi, Wassim and Corcoran, Padraig
year	2020
title	Machine Learning Methods for Clustering Architectural Precedents - Classifying the relationship between building and ground
doi	https://doi.org/10.52842/conf.ecaade.2020.1.643
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. 643-652
summary	Every time an object is built, it creates a relationship with the ground. Architects have a full responsibility to design the building by taking the ground into consideration. In the field of architecture, using data mining to identify any unusual patterns or emergent architectural trends is a nascent area that has yet to be fully explored. Clustering techniques are an essential tool in this process for organising large datasets. In this paper, we propose a novel proof-of-concept workflow that enables a machine learning computer system to cluster aspects of an architect's building design style with respect to how the buildings in question relate to the ground. The experimental workflow in this paper consists of two stages. In the first stage, we use a database system to collect, organise and store several significant architectural precedents. The second stage examines the most well-known unsupervised learning algorithm clustering techniques which are: K-Means, K-Modes and Gaussian Mixture Models. Our experiments demonstrated that the K-means clustering algorithm method achieves a level of accuracy that is higher than other clustering methods. This research points to the potential of AI in helping designers identify the typological and topological characteristics of architectural solutions and place them within the most relevant architectural canons
keywords	Machine Learning; Building and Ground Relationship; Clustering Algorithms; K-means cluster Algorithms
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2020_267
id	ecaade2020_267
authors	Argin, Gorsev, Pak, Burak and Turkoglu, Handan
year	2020
title	Through the Eyes of (Post-)Flâneurs - Altering rhythm and visual attention in public space in the era of smartphones
doi	https://doi.org/10.52842/conf.ecaade.2020.1.239
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. 239-248
summary	In the last decade, rapid penetration of smartphones into our everyday life introduced a new kind of urban wanderer named as the 'post-flâneur'. By navigating through the virtual and physical space with a smartphone, and taking and sharing photographs, post-flâneur walks and experiences the city in novel ways. This paper aims to investigate the effects of smartphone use on the human-environment relationship by comparing post-flânerie with flânerie in public space with a focus on two key indicators: alteration of 1) the visual attention and 2) the walking rhythm. In this regard, ten postgraduate Architecture students are asked to perform flânerie and post-flânerie consecutively in the historical city center of Ghent with an eye-tracker and a smartphone. During the flânerie condition, they walked and experienced the city without using a smartphone. In the post-flânerie condition, they used a smartphone, took pictures and uploaded them to an application. By analyzing the eye-tracker (number and duration of fixations) and the smartphone (location data and geolocated photographs) data, altering rhythm and visual attention during the flânerie and post-flânerie were compared. Preliminary results indicate that flânerie and post-flânerie differ in terms of rhythm and visual attention. The average duration of fixations on the environment were significantly lower in the post-flânerie condition while the average walking rhythm was faster but impeded from time to time. In addition, post-flâneurs' visual attention was on the smartphone during a significant part of the stationary activities which point out to an altered state of public space appropriation. The findings are significant because they reveal the novel spatial appropriations and experiences of the (post)public space -particularly "the honeypot effect" which was more significant in the post-flânerie condition. These observations evoke questions on how designers can rethink public space as a hybrid construct integrating the virtual and the physical.
keywords	post-flâneur; rhythm; visual attention; smartphone; eye-tracking
series	eCAADe
email
last changed	2022/06/07 07:54

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