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

_id	ecaade2020_146
id	ecaade2020_146
authors	Andriasyan, Mesrop, Zanelli, Alessandra, Yeghikyan, Gevorg, Asher, Rob and Haeusler, Hank
year	2020
title	Algorithmic Planning and Assessment of Emergency Settlements and Refugee Camps
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. 115-124
doi	https://doi.org/10.52842/conf.ecaade.2020.2.115
summary	The planning quality of refugee camps profoundly affects the people living there. Because of the short time span allotted to planners due to the state of emergency, camps are often poorly planned or not planned at all. This paper proposes tools and methods developed through computational modelling algorithms that can enhance the design procedure and provide instant feedback about the plan performance to the planner. The developed planning framework allows defining the planning guidelines which will be tested for compliance. The paper also shows case studies of analysing an existing refugee camp.
keywords	Refugee camp; shelter; generative design; UNHCR; humanitarian architecture
series	eCAADe
email
last changed	2022/06/07 07:54

_id	cdrf2019_245
id	cdrf2019_245
authors	Dan Liang
year	2020
title	A Generative Material System of Clay Components-The Porosity Language
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_23
summary	Compared with the pre-determined architecture design based on standard elements, the underlying structure of nature is more like a complex system. Porosity language, for example, which is inspired by nature, has been widely applied in the architecture context. Through the analysis of the underlying methodologies of topology in each case, the strategy is to illustrate how clay components can achieve this natural porosity language. With the help of parametric topology, the report will clearly show how the innovative language of clay components is inspired, optimized and applied. As the background of the literature, natural porosity and examples of existing cavity wall made by clay components will be compared and analyzed in Sect. 1. In Sect. 2, Steven Hall’s porous methodology will be considered as the primary topological reference. The parametric iteration topology will be stated explicitly in Sect. 3, which will direct the randomness of porosity form to the balance between structural stability and the aesthetic value. In the last chapter, different architecture applications will be studied through the supporting of micro-climate simulation.
series	cdrf
email
last changed	2022/09/29 07:51

_id	ecaade2020_284
id	ecaade2020_284
authors	Tan, Rachel, Patt, Trevor, Koh, Seow Jin and Chen, Edmund
year	2020
title	Exploration & Validation - Making sense of generated data in large option sets
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. 653-662
doi	https://doi.org/10.52842/conf.ecaade.2020.1.653
summary	The project is a real-world case study where we advised our client in the selection of a viable and well-performing design from a set of computationally generated options. This process was undertaken while validating the algorithmic generative process and user-defined evaluation criteria through scrutinizing the other alternative options to ensure ample variability was considered. Optimisation algorithms were not ideal as low performing options were not visible to validate variability. We established variability by extracting the different groups of options, proving to the client that various operational behaviours were present and accounted for. In order to sieve through the noise and derive meaningful results, we employed methods to filter through thousands of options, including: k-means clustering, archetypal labelling and analysis, pareto front analysis and visualisation overlays. We present a sense-making and decision-making process that utilizes principles of genetic algorithms and analysis of multi-dimensional user-derived evaluation scores. To enable the client's confidence in the computational model, we proved the effectiveness of the generative model through communicating and visualizing the impact of different criterias. This ensured that operational needs were considered. The visualization methods we employed, including pareto front extraction and analysis eventually helped our clients to arrive at a decision.
keywords	generative design; validation; multi-objective optimisation; k-means; pareto front; decision-making
series	eCAADe
email
last changed	2022/06/07 07:56

_id	cdrf2019_144
id	cdrf2019_144
authors	Xuexin Duan
year	2020
title	The Development of ‘Agent-Based Parametric Semiology’ as Design Research Program
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_14
summary	A new framework, agenda and practice is called for to address the challenges and opportunities architecture must confront in the age of our computationally empowered Post-Fordist network society. This paper introduces the research agenda of ‘agent-based parametric semiology’, and explains the necessity of introducing a new tool, agent-based life-process modelling, as part of the design process, in order to cope with the new complexity and dynamism of architecture’s social functionality. The paper reviews the development of this design research program over the last 10 years. Finally, the paper describes current efforts to move from the illustrative use of life-process modelling to a scientifically grounded quantitative analysis and generative design optimization.
series	cdrf
email
last changed	2022/09/29 07:51

_id	sigradi2020_60
id	sigradi2020_60
authors	Asmar, Karen El; Sareen, Harpreet
year	2020
title	Machinic Interpolations: A GAN Pipeline for Integrating Lateral Thinking in Computational Tools of Architecture
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. 60-66
summary	In this paper, we discuss a new tool pipeline that aims to re-integrate lateral thinking strategies in computational tools of architecture. We present a 4-step AI-driven pipeline, based on Generative Adversarial Networks (GANs), that draws from the ability to access the latent space of a machine and use this space as a digital design environment. We demonstrate examples of navigating in this space using vector arithmetic and interpolations as a method to generate a series of images that are then translated to 3D voxel structures. Through a gallery of forms, we show how this series of techniques could result in unexpected spaces and outputs beyond what could be produced by human capability alone.
keywords	Latent space, GANs, Lateral thinking, Computational tools, Artificial intelligence
series	SIGraDi
email
last changed	2021/07/16 11:48

_id	acadia20_120
id	acadia20_120
authors	Barsan-Pipu, Claudiu; Sleiman, Nathalie; Moldovan, Theodor
year	2020
title	Affective Computing for Generating Virtual Procedural Environments Using Game Technologies
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. 120-129.
doi	https://doi.org/10.52842/conf.acadia.2020.2.120
summary	Architects have long sought to create spaces that can relate to or even induce specific emotional conditions in their users, such as states of relaxation or engagement. Dynamic or calming qualities were given to these spaces by controlling form, perspective, lighting, color, and materiality. The actual impact of these complex design decisions has been challenging to assess, from both quantitative and qualitative standpoints, because neural empathic responses, defined in this paper by feature indexes (FIs) and mind indexes (MIs), are highly subjective experiences. Recent advances in the fields of virtual procedural environments (VPEs) and virtual reality (VR), supported by powerful game engine (GE) technologies, provide computational designers with a new set of design instruments that, when combined with brain-computing interfacing (BCI) and eye-tracking (E-T) hardware, can be used to assess complex empathic reactions. As the COVID-19 health crisis showed, virtual social interaction becomes increasingly relevant, and the social catalytic potential of VPEs can open new design possibilities. The research presented in this paper introduces the cyber-physical design of such an affective computing system. It focuses on how relevant empathic data can be acquired in real time by exposing subjects within a dynamic VR-based VPE and assessing their emotional responses while controlling the actual generative parameters via a live feedback loop. A combination of VR, BCI, and E-T solutions integrated within a GE is proposed and discussed. By using a VPE inside a BCI system that can be accurately correlated with E-T, this paper proposes to identify potential morphological and lighting factors that either alone or combined can have an empathic effect expressed by the relevant responses of the MIs.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	sigradi2020_112
id	sigradi2020_112
authors	Brandao, Jaqueline; Costa, Frederico Ribeiro; Silva, Geovany
year	2020
title	Morphological transformations in Brazilian peripheral areas: a case study of the Vila Cabral neighborhood at Campina Grande-PB
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. 112-119
summary	This article describes an analysis of the morphological changes between 2005 and 2020 in the Vila Cabral neighborhood, located on the outskirts of the Brazilian city of Campina Grande. The research was developed in two different analytical scenarios, adopting the algorithmic- parametric computational implementation as a methodology, and applying the following procedures: (i) formal decomposition of a sample of the urban fabric; (ii) visibility graph analysis (VGA); (iii) analysis of the diversity of uses and (iv) analysis of urban density (populational and built). The study demonstrated that the association of different urban analysis tools strengthens decision-making in the context of evidence-based urban design.
keywords	Algorithmic-parametric urban analysis, Evidence-based design, Urban morphology, Campina Grande, Brazilian peripheral sprawl
series	SIGraDi
email
last changed	2021/07/16 11:48

_id	caadria2020_093
id	caadria2020_093
authors	Cerovsek, Tomo and Martens, Bob
year	2020
title	The Evolution of CAADRIA Conferences - A Bibliometric Approach
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 325-334
doi	https://doi.org/10.52842/conf.caadria.2020.1.325
summary	This paper presents an analysis of the output, impact, use and content of 1,860 papers that were published in the CAADRIA conference proceedings over the last 20+ years (from 1996 to 2019). The applied methodology is a blend of bibliometrics, webometrics and clustering with text mining. The bibliometric analysis leads to quantitative and qualitative results on three levels: (1) author, (2) article and (3) association. The most productive authors authored over 50 papers, and the top 20% authors have over 80 % of all citations generated by CAADRIA proceedings. The overall impact of CAADRIA may be characterised by nearly 2,000 known citations and by the h-index that is 17. The webometrics based on CumInCAD.org reveals that the CAADRIA papers served over 200 k users, which is a considerable visibility for scientific CAAD output. The keywords most frequently used by authors were digital fabrication, BIM and parametric, generative, computational design. Notably, 90% of the papers' descriptors are 2-grams. This study may be useful to researchers, educators and publishers interested in CAAD.
keywords	bibliometrics; open source; text clustering; n-gram
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2020_082
id	caadria2020_082
authors	Cheng, Celine and Pelosi, Antony
year	2020
title	Connecting Timber Sheet Materials to Create a Self-Supporting Structure using Robotic Fabrication and Computational Tools
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. 85-94
doi	https://doi.org/10.52842/conf.caadria.2020.1.085
summary	The research developed in this paper is the workflow to create a self-supporting structure from sheet materials using robotic fabrication and computational tools. This research focuses on timber sheet materials, as timber is a material that can be altered in a variety of ways. Japanese timber connections were a strong influence for this research, due to its prolonged lifespan and sustainable advantages. In the past, timber fabrication techniques have been limited due to design limitations. This research explored how current technology, specifically parametric software combined with robotic fabrication, can create timber connections to connect sheet materials at different angles. This method was utilised to repurpose the concept of sheet materials towards a complex structure, which adopted the idea of mass customisation over mass production. This can help reshape the future of architecture through the use of advancing technology and sustainable assembly techniques using timber to timber joints.
keywords	Architecture; Robotic Fabrication; Timber; Parametric Design
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	cdrf2019_189
id	cdrf2019_189
authors	Dasong Wang and Roland Snooks
year	2020
title	Artificial Intuitions of Generative Design: An Approach Based on Reinforcement Learning
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_18
summary	This paper proposes a Reinforcement Learning (RL) based design approach that augments existing algorithmic generative processes through the emergence of a form of artificial design intuition. The research presented in the paper is embedded within a highly speculative research project, Artificial Agency, exploring the operation of Machine Learning (ML) in generative design and digital fabrication. After describing the inherent limitations of contemporary generative design processes, the paper compares the three fundamental types of machine learning frameworks in terms of their characteristics and potential impact on generative design. A theoretical framework is defined to demonstrate the methodology of integrating RL with existing generative design procedures, which is further explained with a Random Walk based experimental design example. The paper includes detailed RL definitions as well as critical reflections on its impact and the effects of its implementation. The proposed artificial intuition within this generative approach is currently being further developed through a series of ongoing and proposed research trajectories noted in the conclusion. The ambition of this research is to deepen the integration of intention with machine learning in generative design.
series	cdrf
email
last changed	2022/09/29 07:51

_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
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
doi	https://doi.org/10.52842/conf.caadria.2020.2.497
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_150
id	acadia20_150
authors	Gaudilliere-Jami, Nadja
year	2020
title	AD Magazine
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. 150-159.
doi	https://doi.org/10.52842/conf.acadia.2020.1.150
summary	This paper aims to contribute to a history of computational design and to a historiography of the field by proposing a study of the development of sociotechnical networks of computation in architecture between 1965 and 2020 as shown in AD magazine. The research focuses on two aspects: (1) a methodological approach for the constitution of a comprehensive history of the field and the application of that methodology to a corpus of items published in AD, and (2) questions the relevance of the outlook into computational design as given by the magazine in comparison to a more comprehensive history taking into account other sources. First, the paper presents the history and the editorial line of AD, as well as its pertinence as a primary source. Second, a brief account of the history emerging from this research is given, with a focus on four different periods: pioneering research of the 1960s–1970s, emergence of 3D modeling tools and the procedural winter in the 1980s–1990s, constitution of a large-scale academic and professional network in the 2000s, and democratization of algorithmic design tools in the 2010s. Third, observations are made on editorial choices of the magazine and the biases of its account of computational research, with a special focus on the period 2000–2020, during which many issues have been dedicated to computational design themes, therefore making potential biases more visible. Despite the preponderance of specific topics, editors, and contributors, AD magazine provides an outlook into key concerns of the community at given times. The main biases identified, including a strong focus on the themes of biodesign and rationalization of practices, mirror the biases of the computational field itself, demonstrating the value of AD as an archive for the history of the field.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	cdrf2019_297
id	cdrf2019_297
authors	H. Mohamed, D. W. Bao, and R. Snooks
year	2020
title	Super Composite: Carbon Fibre Infused 3D Printed Tectonics
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_28
summary	This research posits an innovative process of embedding carbon fibre as the primary structure within large-scale polymer 3D printed intricate architectural forms. The design and technical implications of this research are explored and demonstrated through two proto-architectural projects, Cloud Affects and Unclear Cloud, developed by the RMIT Architecture Snooks Research Lab. These projects are designed through a tectonic approach that we describe as a super composite – an approach that creates a compression of tectonics through algorithmic selforganisation and advanced manufacturing. Framed within a critical view of the lineage of polymer 3D printing and high tech fibres in the field of architectural design, the research outlines the limitations of existing robotic processes employed in contemporary carbon fibre fabrication. In response, the paper proposes an approach we describe asInfused Fibre Reinforced Plastic (IFRP) as a novel fabrication method for intricate geometries. This method involves 3D printing of sacrificial formwork conduits within the skin of complex architectural forms that are infused with continuous carbon fibre structural elements. Through detailed observation and critical review of Cloud Affects and Unclear Cloud (Fig. 2), the paper assesses innovations and challenges of this research in areas including printing, detailing, structural analysis and FEA modelling. The paper notes how these techniques have been refined through the iterative design of the two projects, including the development of fibre distribution mapping to optimise the structural performance.
series	cdrf
email
last changed	2022/09/29 07:51

_id	sigradi2020_52
id	sigradi2020_52
authors	Hadi, Khatereh; Gomez, Paula; Swarts, Matthew; Marshall, Tyrone; Bernal, Marcelo
year	2020
title	Healthcare Design Metrics for Human-Centric Building Analytics
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. 52-59
summary	Healthcare design practice has shown increasing interest in the assessment of design alternatives from a human-centered approach, focusing on organizational performance, patient health, and wellness outcomes, in addition to building performance. The goal of this research is to advance building analytics by identifying, defining and implementing computational human-centered design metrics. The knowledge is extracted from an exhaustive literature review in the field of evidence-based design (EBD), which has studied the associations between building features and the occupants’ outcomes but has not yet consolidated the findings into metrics and implications for design practice in a systematic manner. In consultation with industry experts, we have prioritized the evaluation aspects and developed a weighted evaluation framework for assessment of various design options. The developed metrics that input building parameters and output potential health and performance outcomes are implemented in a a parametric environment utilizing add-ons accordingly, and using an ambulatory clinic designed by Perkins&Will as a case study.
keywords	Building analytics, Healthcare design, Design metrics, Human-centered analytics
series	SIGraDi
email
last changed	2021/07/16 11:48

_id	cdrf2019_217
id	cdrf2019_217
authors	Jinghua Song and Sirui Sun
year	2020
title	Research on Architectural Form Optimization Method Based on Environmental Performance-Driven Design
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_21
summary	In the context of contemporary environment and society, the architectural form optimization based on Environmental performance-driven design is a method by using environmental performance data to optimize the architectural form. Its value lies in dealing with the interaction between architecture and environment, and developing architecture with environmental sustainability. This thesis summarizes the similarities and differences between performance-driven form design and traditional bionic form design. The traditional bionic design separates the bionic object from its complex living environment, and its simple imitation tends to fall into the local rather than the global optimum. However, performancedriven design is different from bionic design. It advocates environmental factors as a driving factor rather than a confrontational factor. It is a systematic global optimal method for studying architectural form. This paper puts forward the specific architectural form optimization simulation process based on the performance-driven thought. Taking the multilayer parking building design of the riparian zone on the south bank of Chongqing as an example, the parametric design method is used to obtain architectural optimization form adapted to the environment.
series	cdrf
email
last changed	2022/09/29 07:51

_id	acadia20_154p
id	acadia20_154p
authors	Josephson, Alex; Friedman, Jonathan; Salance, Benjamin; Vasyliv, Ivan; Melnichuk, Tim
year	2020
title	Gusto: Rationalizing Computational Masonry Design
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. 154-159
summary	Gusto 501 is a multi-level Infill Building on the footprint of an old car garage. Surrounded by an overpass and former factories, the restaurant and event spaces take the form of a ‘Hyper garage’ as a nod to its urban context. The interior is punctuated with standard terracotta blocks formed to create an intricate play of shadows during the day and embedded with LEDs to provide atmospheric illumination at night. The client's vision, our narrative, and the program demanded an innovative use of the primal material: terracotta. The scale of the project required the use of 3,700 blocks. Within the array wrapped around a 50ft tall interior volume, each block needed to be formed and sequenced uniquely to maintain structural integrity and interface with building systems, and express the sculptural qualities our team had designed. Standard approaches to the masonry could not achieve the effects our team was striving for - we had to develop our ground-up process to manufacture and install mass-customized masonry. The design process involved an algorithmic approach to a series of cuts and geometric manipulations to the blocks that allowed for near-endless combinations/configurations to create a dynamic interior facade system. Partisans, partnering with a terracotta block manufacturer, a local mason, and a masonry engineer, pursued simplifying production using wire cutter systems. Digital and physical mock-ups were then used to create a robust library of parameterized design criteria that optimized corbelling, grout thickness, weight, and fabrication complexity. Working sets of drawings were automated through a fully integrated BIM model, simplifying and speeding up installation. The challenge of marrying these processes with the physical realities of installation required another level of collaboration that included the masons themselves and the electricians who would eventually combine lighting systems into the sculpted block array.
series	ACADIA
type	project
email
last changed	2021/10/26 08:03

_id	acadia20_484
id	acadia20_484
authors	Kim, Namjoo; Otitigbe, Eto; Shannon, Caroline; Smith, Brian; Seyedahmadian, Alireza; Höweler, Eric; Yoon, J. Meejin; Marshall, Durham; Durham, James
year	2020
title	Parametric Photo V-Carve for Variable Surfaces
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. 484-493.
doi	https://doi.org/10.52842/conf.acadia.2020.1.484
summary	This research project was part of the design and construction of the Memorial to Enslaved Laborers (MEL) at the University of Virginia (UVA). The MEL was dedicated to an estimated 4,000 enslaved persons who worked at UVA between 1817 and 1865. The 80-foot-diameter memorial is a tapered toroidal shape composed of 75 stone blocks. This project demonstrates how computational design tools along with robotic digital fabrication can be used to achieve unique social and experiential effects in an architectural application. The memorial’s design was informed by an extensive community engagement process that clarified the importance of including a visual representation of enslaved people on the memorial. With this input, the eyes of Isabella Gibbons were selected to be used as a symbolic representation of triumph on the outer wall of the memorial. The MEL project could not rely solely on prior methods or existing software applications to design and fabricate this portrait due to four particularities of the project: material, geometry, representation, and scale. To address these challenges, the MEL design team employed an interdisciplinary collaborative process to develop an innovative parametric design technique: parametric photo V-carve. This technique allowed the MEL design team to render a large-scale photo-realistic portrait into stone. This project demonstrates how the synthesis of artistic motivations, computational design, and robotic digital fabrication can develop unique expressions that shape personal and cultural experiences.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2020_130
id	ecaade2020_130
authors	Markusiewicz, Jacek and Gortazar Balerdi, Ander
year	2020
title	LOTI - Using Machine Learning to simulate subjective opinions in design.
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. 439-448
doi	https://doi.org/10.52842/conf.ecaade.2020.1.439
summary	The objective of the workshop described in the article was to redesign a chair called Loti. In a subjective opinion shared by the authors and the participants of the workshop, the chair seems plagiarism of a famous chair by Ray and Charles Eames. The authors centralised the workshop on the use of computational tools for assessing subjective opinions. The authors and the participants created a method for detecting plagiarism and implemented it in the process of design. They created a parametric model of the chair that allowed changing the chair's components with variables. Using this model, the participants generated multiple variations and surveyed other students to assess which of the versions seemed plagiarism. With the information obtained from the survey, we trained a neural network to relate the variables with the level of plagiarism. We linked the parametric model with the neural network to create a tool that informs the user about the probability of committing plagiarism in real-time. The participants used the tool for designing new chairs to evaluate the efficiency of the method.
keywords	parametric design; machine learning; interfaces
series	eCAADe
email
last changed	2022/06/07 07:59

_id	ecaade2020_468
id	ecaade2020_468
authors	Mostafavi, Sina, Kastrati, Valmir, Badr, Hossam and Mazlan, Shazwan
year	2020
title	Design Computation to Robotic Production Methods for Reciprocal Tessellation of Free-from Timber Structures - Design, production, and assembly of 100 years Bauhaus wood Pavilion
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. 413-422
doi	https://doi.org/10.52842/conf.ecaade.2020.2.413
summary	In a reciprocal frame structure, at any given joint, there are only two members connecting to each other. Therefore, the joints in a standard reciprocal structure are topologically identical. Due to these topological similarities between the joints, the parametric modeling of a reciprocal frame structure applied to a geometrically regular surface, such as domes and symmetric shells, is practical, and it has been explored in several projects previously. In this context, this paper presents an integrated computational design to robotic production process of a free form wooden pavilion with a non-uniform tessellation pattern with differentiated cell sizes. The case study, on the one hand, elaborates on the challenges of solving reciprocal tessellation on complex geometries, and on the other hand, discusses the chosen and developed robotic production approach as a feedback loop that informs the design process.
keywords	Reciprocal Structure; Wood Assembly; Design to Robotic Production; Reciprocal Tessellation; Free Form Timber Structure
series	eCAADe
email
last changed	2022/06/07 07:58

_id	acadia20_668
id	acadia20_668
authors	Pasquero, Claudia; Poletto, Marco
year	2020
title	Deep Green
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. 668-677.
doi	https://doi.org/10.52842/conf.acadia.2020.1.668
summary	Ubiquitous computing enables us to decipher the biosphere’s anthropogenic dimension, what we call the Urbansphere (Pasquero and Poletto 2020). This machinic perspective unveils a new postanthropocentric reality, where the impact of artificial systems on the natural biosphere is indeed global, but their agency is no longer entirely human. This paper explores a protocol to design the Urbansphere, or what we may call the urbanization of the nonhuman, titled DeepGreen. With the development of DeepGreen, we are testing the potential to bring the interdependence of digital and biological intelligence to the core of architectural and urban design research. This is achieved by developing a new biocomputational design workflow that enables the pairing of what is algorithmically drawn with what is biologically grown (Pasquero and Poletto 2016). In other words, and more in detail, the paper will illustrate how generative adversarial network (GAN) algorithms (Radford, Metz, and Soumith 2015) can be trained to “behave” like a Physarum polycephalum, a unicellular organism endowed with surprising computational abilities and self-organizing behaviors that have made it popular among scientist and engineers alike (Adamatzky 2010) (Fig. 1). The trained GAN_Physarum is deployed as an urban design technique to test the potential of polycephalum intelligence in solving problems of urban remetabolization and in computing scenarios of urban morphogenesis within a nonhuman conceptual framework.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

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