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	acadia17_436
id	acadia17_436
authors	Nagy, Danil; Villaggi, Lorenzo; Zhao, Dale; Benjamin, David
year	2017
title	Beyond Heuristics: A Novel Design Space Model for Generative Space Planning in Architecture
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 436- 445
doi	https://doi.org/10.52842/conf.acadia.2017.436
summary	This paper proposes a novel design space model that can be used in applications of generative space planning in architecture. The model is based on a novel data structure that allows fast subdivision and merge operations on planar regions in a floor plan. It is controlled by a relatively small set of input parameters and evaluated for performance using a set of congestion metrics, which allows it to be optimized by a metaheuristic such as a genetic algorithm (GA). The paper also presents a set of guidelines and methods for analyzing and visualizing the quality of the model through low-resolution sampling of the design space. The model and analysis methods are demonstrated through an application in the design of an exhibit hall layout. The paper concludes by speculating on the potential of such models to disrupt the architectural profession by allowing designers to break free of common "heuristics" or rules of thumb and explore a wider range of design options than would be possible using traditional methods.
keywords	design methods; information processing; simulation & optimization; generative system; data visualization
series	ACADIA
email
last changed	2022/06/07 07:59

_id	ascaad2021_065
id	ascaad2021_065
authors	Fraschini, Matteo; Julian Raxworthy
year	2021
title	Territories Made by Measure: The Parametric as a Way of Teaching Urban Design Theory
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 494-506
summary	Design tools like Grasshopper are often used to either generate novel forms, to automate certain design processes or to incorporate scientific factors. However, any Grasshopper definition has certain assumptions about design and space built into it from its earliest genesis, when the initial algorithm is set out. Correspondingly, implicit theoretical positions are built into definitions, and therefore its results. Approaching parametric design as a question of architectural, landscape architectural or urban design theory allows the breaking down of traditional boundaries between the technical and the historical or theoretical, and the way parametric design, and urban design history & theory, can be conveyed in the teaching environment. Once the boundaries between software and history & theory are transgressed, Grasshopper can be a way of testing the principles embedded in historical designs and thus these two disciplines can be joined. In urban design, there is an inherent clash between an ideal model and existing urban geography or morphology, and also between formal (qualitative) and numerical (quantitative) aspects. If a model provides a necessary vision for future development, an existing topography then results from the continuous human and natural modifications of a territory. To explore this hypothesis, the “Urban Design Representation” subject in the Master of Urban Design program at the University of Cape Town taught in 2017 & 2018 was approached “parametrically” from these two opposite, albeit convergent, starting points: the conceptual/rational versus the physical/empiric representations of a territory. In this framework, Grasshopper was used to represent typical standards and parameters of modern urban planning (for example, Floor/Area Ratio, height and distance between buildings, site coverage, etc), and a typological approach was adopted to study and “decode” the relationship between public and private space, between the street, the block and topography, between solids and voids. This methodology permits a cross-comparison of different urban design models and the immediate evaluation of their formal outputs derived from parametric data.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	acadia17_630
id	acadia17_630
authors	Vasanthakumar, Saeran; Saha, Nirvik; Haymaker, John; Shelden, Dennis
year	2017
title	Bibil: A Performance-Based Framework to Determine Built Form Guidelines
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 630- 639
doi	https://doi.org/10.52842/conf.acadia.2017.630
summary	City built-form guidelines act as durable constraints on building design decisions. Such guidelines directly impact energy, comfort and other performance conditions. Existing urban design and planning methods only consider a narrow range of potential design scenarios, with rudimentary performance criteria, resulting in suboptimal urban designs. Bibil is a software plugin for the Rhinoceros3D/Grasshopper3D CAD modeler that addresses this gap through the synthesis of design space exploration methods to help design teams optimize guidelines for environmental and energy performance criteria over the life cycle of the city. Bibil consists of three generative and data management modules. The first module simulates development scenarios from street and block information through time, the second designs appropriate architectural typology, and the third abstracts the typologies into a lightweight analysis model for detailed thermal load and energy simulation. State-of-the-art performance simulation is done via the Ladybug Analysis Tools Grasshopper3D plugin, and further bespoke analysis to explore the resulting design space is achieved with custom Python scripts.This paper first introduces relevant background for automated exploration of urban design guidelines. Then the paper surveys the state-of-the-art in design and performance simulation tools in the urban domain. Next the paper describes the beta version of the tool’s three modules and its application in a built form study to assess urban canyon performance in a major North American city. Bibil enables the exploration of a broader range of potential design scenarios, for a broader range of performance criteria, over a longer period of time.
keywords	design methods; information processing; simulation & optimization; form finding; generative system
series	ACADIA
email
last changed	2022/06/07 07:58

_id	acadia17_154
id	acadia17_154
authors	Brown, Nathan; Mueller, Caitlin
year	2017
title	Designing With Data: Moving Beyond The Design Space Catalog
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 154-163
doi	https://doi.org/10.52842/conf.acadia.2017.154
summary	Design space catalogs, which present a collection of different options for selection by human designers, have become commonplace in architecture. Increasingly, these catalogs are rapidly generated using parametric models and informed by simulations that describe energy usage, structural efficiency, daylight availability, views, acoustic properties, and other aspects of building performance. However, by conceiving of computational methods as a means for fostering interactive, collaborative, guided, expert-dependent design processes, many opportunities remain to improve upon the originally static archetype of the design space catalog. This paper presents developments in the areas of interaction, automation, simplification, and visualization that seek to improve on the current catalog model while also describing a vision for effective computer-aided, performance-based design processes in the future.
keywords	design methods; information processing; simulation & optimization; data visualization
series	ACADIA
email
last changed	2022/06/07 07:54

_id	ecaade2023_44
id	ecaade2023_44
authors	Mayrhofer-Hufnagl, Ingrid and Ennemoser, Benjamin
year	2023
title	From Linear to Manifold Interpolation: Exemplifying the paradigm shift through interpolation
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 419–429
doi	https://doi.org/10.52842/conf.ecaade.2023.2.419
summary	The advent of artificial intelligence, specifically neural networks, has marked a significant turning point in the field of computation. During such transformative times, we are often faced with a dearth of appropriate vocabulary, which forces us to rely on existing terms, regardless of their inadequacy. This paper argues that the term “interpolation,” typically used in deep learning (DL), is a prime example of this phenomenon. It is not uncommon for beginners to misunderstand its meaning, as DL pioneer Francois Chollet (2017) has noted. This misreading is especially true in the discipline of architecture, and this study aims to demonstrate how the meaning of “interpolation” has evolved in the second digital turn. We begin by illustrating, using 2D data, the difference between linear interpolation in the context of topological figures and its use in DL algorithms. We then demonstrate how 3DGANs can be employed to interpolate across different topologies in complex 3D space, highlighting the distinction between linear and manifold interpolation. In both 2D and 3D examples, our results indicate that the process does not involve continuous morphing but instead resembles the piecing together of a jigsaw puzzle to form many parts of a larger ambient space. Our study reveals how previous architectural research on DL has employed the term “interpolation” without clarifying the crucial differences from its use in the first digital turn. We demonstrate the new possibilities that manifold interpolation offers for architecture, which extend well beyond parametric variations of the same topology.
keywords	Interpolation, 3D Generative Adversarial Networks, Deep Learning, Hybrid Space
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2017_105
id	ecaade2017_105
authors	Miodragovic Vella, Irina and Kotnik, Toni
year	2017
title	Stereotomy, an Early Example of a Material System
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 251-258
doi	https://doi.org/10.52842/conf.ecaade.2017.2.251
summary	Stereotomy originated as a technique that accumulated theoretical and practical knowledge on stone material properties and construction. At its peak in the nineteenth century, by pushing the structure and construction limits, it gained the ability of using "the weight of the stone against itself by making it hover in space through the very weight that should make it fall down" (Perrault 1964, cited Etelin, 2012). The modern architectural tectonics, based on structural comprehension in architecture, found no value in stereotomy beyond its early, Gothic period. Similarly, digital architectural theory recognized in Gothic the early examples of a material systems. This paper reassesses stereotomy at its fundamental levels, as a material system based on generative processes that assimilate structure and construction through parameterization. In this way, a theoretical framework is established that exposes stereotomy's intrinsic potentials: the continuity of historic and contemporary examples, overlaps between current research endeavours, and its genuine relevance for contemporary digital architecture.
keywords	stereotomy, material system, Abeille vault, parametric design
series	eCAADe
email
last changed	2022/06/07 07:58

_id	acadia17_266
id	acadia17_266
authors	Gonzalez Rojas,Paloma
year	2017
title	Space and Motion: Data-Driven Model of 4D Pedestrian Behavior
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 266-273
doi	https://doi.org/10.52842/conf.acadia.2017.266
summary	The understanding of space relies on motion, as we experience space by crossing it in time, space’s fourth dimension. However, architects lack the necessary tools to incorporate people's motion into their design of space. As a consequence, architects fail to connect space with the motion of the people that inhabit their buildings, creating disorienting environments. Further, what if augmentation technology changes how we inhabit space and the static built environment does not fit people anymore? This paper explores the problem of developing a model from people's motion, to inform and augment the architecture design process in the early stages. As an outcome, I have designed a model based on data from human-space interaction obtained through field work. First, relevant behavior was identified and recorded. Second, a metric was extracted from the data and composed by speed, the 4th D dimension as time, and gestures. Third, the original behavior was rebuilt, producing a set of rules. The rules were combined to form the model of human-space interaction. This generalizable model provides a novel approach to designing space based on data from people. Moreover, this paper presents a means of incorporating inhabitants' behavior into digital design. Finally, the model contributes to the advancement of people's motion research for general applications, such as in transport engineering, robotics, and cognitive sciences.
keywords	design methods; information processing; simulation & optimization; data visualization
series	ACADIA
email
last changed	2022/06/07 07:51

_id	caadria2017_129
id	caadria2017_129
authors	Patt, Trevor Ryan
year	2017
title	Toward Temporal and Punctual Urban Redevelopment in Dynamic, Informal Contexts - An Adaptive Masterplan Driven by Architectural Interventions Using Multiagent Modeling
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 221-230
doi	https://doi.org/10.52842/conf.caadria.2017.221
summary	This paper presents design research speculating on new planning approaches for informal urban sites that enables coordinated planning to operate within the realm of spontaneous, bottom-up redevelopment. In opposition to the /tabula rasa/ Modernist development, this project reacts to the dynamic metabolism of the village and engages with the rapid turnover of the built environment of the village as a mechanism through which to implement incremental redevelopment. A radical reorientation of the object of masterplanning, this replaces the singular image or document as the guiding authority with a collection of opportunistic adaptations, temporal sequences, and localized procedures. Enabling this approach is a computational approach that analyzes the morphology of the public space network to identify opportunities to address issues in the composition of the village. A multiagent system driven by weighted random walks through the circulation network conducts local analyses of the urban fabric while changes are made and proposes potential modifications to discrete areas. The model simulates the potential for such a planning tool to be used over a long time span and updated with empirically gathered data, having the benefit of flexibility and resilience in the face of the changing and unregulated conditions in the context of informal urbanism.
keywords	generative design; responsive masterplanning; informal urbanism; network analysis; agent-based modeling
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	acadia17_620
id	acadia17_620
authors	Tsigkari, Martha; Olsson, Jens; Malm, Henrik; Psarras, Stamatios; Aish, Francis
year	2017
title	The Computational Challenges of a Mega Space Frame: Shaping the Envelope of New Mexico City Airport
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 620- 629
doi	https://doi.org/10.52842/conf.acadia.2017.620
summary	The modeling of the envelope and space frame for the new Mexico City Airport was a massive computational task, demanding the development of numerous new methods, tools and processes to deal with its complexity and scale. The shape of the envelope was created through form finding, leading to an all-encompassing lightweight shell with internal spans reaching 130 m. This paper will discuss the challenges faced and the methods used to develop a visually continuous and smooth space-frame model and envelope, while simultaneously complying with very strict spatial and programmatic constraints and structural optimisation criteria. It will further explain how dynamic relaxation was complemented with bespoke mechanisms for mesh manipulation, interfacing and mesh smoothing to fine-tune the final form.
keywords	design methods; information processing; simulation & optimization; generative system; form finding
series	ACADIA
email
last changed	2022/06/07 07:57

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

_id	acadia17_138
id	acadia17_138
authors	Berry, Jaclyn; Park, Kat
year	2017
title	A Passive System for Quantifying Indoor Space Utilization
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 138-145
doi	https://doi.org/10.52842/conf.acadia.2017.138
summary	This paper presents the development of a prototype for a new sensing device for anonymously evaluating space utilization, which includes usage factors such as occupancy levels, congregation and circulation patterns. This work builds on existing methods and technology for measuring building performance, human comfort and occupant experience in post-occupancy evaluations as well as pre-design strategic planning. The ability to collect data related to utilization and occupant experience has increased significantly due to the greater accessibility of sensor systems in recent years. As a result, designers are exploring new methods to empirically verify spatial properties that have traditionally been considered more qualitative in nature. With this premise, this study challenges current strategies that rely heavily on manual data collection and survey reports. The proposed sensing device is designed to supplement the traditional manual method with a new layer of automated, unbiased data that is capable of capturing environmental and social qualities of a given space. In a controlled experiment, the authors found that the data collected from the sensing device can be extrapolated to show how layout, spatial interventions or other design factors affect circulation, congregation, productivity, and occupancy in an office setting. In the future, this sensing device could provide designers with real-time feedback about how their designs influence occupants’ experiences, and thus allow the designers to base what are currently intuition-based decisions on reliable data and evidence.
keywords	design methods; information processing; smart buildings; IoT
series	ACADIA
email
last changed	2022/06/07 07:52

_id	ecaade2017_134
id	ecaade2017_134
authors	Del Signore, Marcella
year	2017
title	pneuSENSE - Transcoding social ecologies
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 537-544
doi	https://doi.org/10.52842/conf.ecaade.2017.2.537
summary	Cities are continuously produced through entropic processes that mediate between complex networked systems and the immediacy urban life. Emergent media technologies inform new relationships between information and matter, code and space to redefine new urban ecosystems. Modes of perceiving, experiencing and inhabiting cities are radically changing along with a radical transformation of the tools that we use to design. Cities as complex and systemic organisms require approaches that engage new multi-scalar strategies to connect the physical layer with the system of networked ecologies. This paper aims at investigating emerging and novel forms of reading and producing urban spaces reimagining the physical city through intelligent and mediated processes. Through data agency and responsive urban processes, the design methodology explored the materialization of a temporary pneumatic structure and membrane that tested material performance through fabrication and sensing practices through the pneuSENSE project developed in July 2016 in New York at the Brooklyn Navy Yard during the 'HyperCities' IaaC- Institute for Advanced Architecture of Catalonia - Global Summer School.
keywords	responsive urban processes; data agency ; reciprocity between micro (body) and macro (environment); dynamics of social ecologies; mapped-environment
series	eCAADe
email
last changed	2022/06/07 07:55

_id	sigradi2017_093
id	sigradi2017_093
authors	Hernández, Silvia Patricia; Luciana Lanzone, Raquel Landenberg, José Manuel Ruiz, Rezk, Alejandra; Martín Viecens
year	2017
title	Estación de hidratación: Microarquitectura inmótica resiliente - Modelo de interacción [Hydration station: Inmotic Resilient Microarchitecture- Interaction Model]
source	SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.644-650
summary	This paper presents the research and development of a concrete micro-architecture proposal, based on a useful design for an interstitial urban space.The typology is a hydration station in the doors of an urban park, the park Sarmiento of the city of Córdoba where many gymnasts converge. The space with inmotic technology is resilient, able to mutate to be more comfortable, and is able to offer water with use control to ration in case of urban emergency. Working with domotics allows us to optimize the management of resources and therefore increase the efficiency of the systems of use and control.
keywords	Microarchitecture; Adaptation; Resilient; Service; Interaction.
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	acadia20_382
id	acadia20_382
authors	Hosmer, Tyson; Tigas, Panagiotis; Reeves, David; He, Ziming
year	2020
title	Spatial Assembly with Self-Play Reinforcement Learning
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. 382-393.
doi	https://doi.org/10.52842/conf.acadia.2020.1.382
summary	We present a framework to generate intelligent spatial assemblies from sets of digitally encoded spatial parts designed by the architect with embedded principles of prefabrication, assembly awareness, and reconfigurability. The methodology includes a bespoke constraint-solving algorithm for autonomously assembling 3D geometries into larger spatial compositions for the built environment. A series of graph-based analysis methods are applied to each assembly to extract performance metrics related to architectural space-making goals, including structural stability, material density, spatial segmentation, connectivity, and spatial distribution. Together with the constraint-based assembly algorithm and analysis methods, we have integrated a novel application of deep reinforcement (RL) learning for training the models to improve at matching the multiperformance goals established by the user through self-play. RL is applied to improve the selection and sequencing of parts while considering local and global objectives. The user’s design intent is embedded through the design of partial units of 3D space with embedded fabrication principles and their relational constraints over how they connect to each other and the quantifiable goals to drive the distribution of effective features. The methodology has been developed over three years through three case study projects called ArchiGo (2017–2018), NoMAS (2018–2019), and IRSILA (2019-2020). Each demonstrates the potential for buildings with reconfigurable and adaptive life cycles.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2017_021
id	caadria2017_021
authors	Hwang, Ji-Hyoun and Lee, Hyunsoo
year	2017
title	3D Visual Simulation and Numerical Measurement of Privacy in Traditional Korean Palace
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 355-363
doi	https://doi.org/10.52842/conf.caadria.2017.355
summary	Traditional Korean architecture provides privacy through a proper balance of openness and enclosure through courtyard gardens. However, it is difficult to analyse privacy quantitatively in a three-dimensional space. The analysis of visual privacy is a significant issue in resolving conflicts and enhancing comfort. This paper develops a computational algorithm for simulating and measuring privacy on the concept of prospect and refuge: a design strategy for psychological wellbeing. In order to visualize privacy, the prospect area ratio (PAR) and refuge area ratio (RAR) are used in 3D visual simulations. PAR and RAR calculate the area ratio of the hiding space or the visible space in the images collected from the 3D model. In addition, parametric algorithms are proposed to calculate PAR/RAR automatically. Finally, this research demonstrates a case study of Gyeongbokgung, one of the five palace buildings in Korea, to show methods and processes of the quantitative analysis of visual privacy. The outcome of this paper contributes to quantitative confirmation of spatial characteristics that clearly distinguish between public space and private space of Gyeongbokgung. The proposed method also shows great potentials to quickly obtain the numeric value of privacy.
keywords	3D simulation; numerical measurement; traditional Korean palace; privacy
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	acadia17_298
id	acadia17_298
authors	Johnson, Jason S.; Gardner, Guy
year	2017
title	Pareidolic Formations
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 298- 307
doi	https://doi.org/10.52842/conf.acadia.2017.298
summary	The use of ornament in public space has been contested throughout history, and attitudes towards the articulation of building surfaces have shifted over time. Antoine Picon has argued that the use of ornament to communicate meaning and identity is returning to a place of cultural prominence. Well-established digital design and fabrication technologies have given rise to projects that integrate performance and aesthetics through the exploitation of form, pattern and ornament. These techniques allow the designer to inscribe and overlay data generated through performance simulation and environmental analysis, and formal relationships and fabrication processes onto materials and spatial fields, creating novel configurations and effects. Operating at a scale between object and building, public art, sculpture and architectural ornament allow for a particular type of interdisciplinary experimentation and hybrid practice. Three recent public art proposals illustrate an approach that composites multiple datasets to generate new relationships between aesthetic, environmental and functional considerations in order to activate public space. The proposals presented here put forward a set of tactics that can be deployed towards embedding overlapping data in public spaces. These proposals use pattern to form and form to pattern workflows as a way to produce multiple potential readings through pareidolia. This paper presents an investigation into how contemporary digital design and fabrication processes can bridge between performance and perception, and how ornament and pattern might be deployed for both formal and performative purposes to help foster a more personalized relationship with the urban spaces we occupy.
keywords	education, society & culture; data mining; form finding; education
series	ACADIA
email
last changed	2022/06/07 07:52

_id	acadia17_360
id	acadia17_360
authors	L'Huillier, Nicole; Machover, Tod
year	2017
title	Spaces That Perform Themselves: Multisensory Kinetic Environment for Sonic-Spatial Composition
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 360- 365
doi	https://doi.org/10.52842/conf.acadia.2017.360
summary	Building on the understanding of music and architecture as creators of spatial experience, this paper presents a novel way of unfolding music’s spatial qualities in the physical world. Spaces That Perform Themselves arose as an innovative response to the current relationship between sound and space, where we build static spaces to contain dynamic sounds. What if we change the static parameter of spaces and start building dynamic spaces to contain dynamic sounds? This project combines architectural theories with musical mastery and computation to create an environment as kinetically undulant and emotionally varied as music itself. To achieve this, a multisensory kinetic room is built in order to augment our sonic perception through a cross-modal spatial choreography that combines sound, spatial movement, light, color and vibration. By breaking down boundaries between disciplines, the possibilities of a new type of architectural typology that morphs responsively with a musical piece can be explored. As a result, spatial and musical composition can exist as one synchronous entity. Spaces That Perform Themselves seeks to contribute a novel perspective to the discourse on leveraging today’s technology to provide a setting to enrich and augment the way we relate with the built environment. This project’s objective is to enhance our perception and challenge models of thinking by presenting a post-humanistic phenomenological encounter of the world.
keywords	design methods; information processing; education; art and technology; hybrid practices; computational / artistic cultures
series	ACADIA
email
last changed	2022/06/07 07:52

_id	ecaade2018_427
id	ecaade2018_427
authors	Matcha, Heike, Ljubas, Ante and Gueldemet, Harun
year	2018
title	Printing a Coffee Bar - An investigation into mid-scale 3D printing
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 59-68
doi	https://doi.org/10.52842/conf.ecaade.2018.2.059
summary	We present and discuss an exploration of the possibilities and properties of 3D printing with a printing space of 1 cubic meter, and how those can be integrated into architectural education through an experimental design and research course with students of architecture.We expand on issues presented at the eCAADe conference 2017 in Rome [Ref 6] by increasing the complexity and size of our prints, printing not a model to scale, but a full scale funtional prototype of a usable architectural object: A coffee bar.
keywords	3D Printing; Parametric Modelling; Full Scale Project
series	eCAADe
email
last changed	2022/06/07 07:59

_id	acadia17_426
id	acadia17_426
authors	Moorman, Andrew
year	2017
title	Pattern Making and Learning: Non-Routine Practices in Generative Design
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 426- 435
doi	https://doi.org/10.52842/conf.acadia.2017.426
summary	We now witness an upsurge in mainstream generative design tools fortified by simulation that speed up the concealed linear synthesis of optimized design alternatives. In pursuit of optimality, these tools saturate local machines or cloud servers with analysis and design iteration data, only to discard it once the procedure has concluded. Largely absent, however, are tools for an active, adaptive relationship with design exploration and the reuse of corresponding design data and metadata. In Pattern Making and Pattern Learning, we propose that these characteristics are mutually beneficial. This paper presents a series of revisions to the optimization framework for routine design synthesis that examine a potential symbiosis between the production of large datasets (big data) and non-routine practices of making in design. Our engagement with iterative design exercises is twofold: as a supply of computer-generated design information to foster user intuition and explore the design space on non-objective terms, and as a supply of human-generated design information to learn artifacts of user preference in the interest of design software personalization. These concepts are applied to the generation of functionally graded patterning in chair design, combining methods of physical production with programmable sheet material behavior through a custom interactive synthesis framework.
keywords	design methods; information processing; ai & machine learning; simulation & optimization; generative system
series	ACADIA
email
last changed	2022/06/07 07:58

_id	acadia17_474
id	acadia17_474
authors	Peng, Wenzhe; Zhang, Fan; Nagakura, Takehiko
year	2017
title	Machines’ Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 474- 481
doi	https://doi.org/10.52842/conf.acadia.2017.474
summary	Simple and common architectural elements can be combined to create complex spaces. Different spatial compositions of elements define different spatial boundaries, and each produces a unique local spatial experience to observers inside the space. Therefore an architectural style brings about a distinct spatial experience. While multiple representation methods are practiced in the field of architecture, there lacks a compelling way to capture and identify spatial experiences. Describing an observer’s spatial experiences quantitatively and efficiently is a challenge. In this paper, we propose a method that employs 3D isovist methods and a convolutional neural network (CNN) to achieve recognition of local spatial compositions. The case studies conducted validate that this methodology works well in capturing and identifying local spatial conditions, illustrates the pattern and frequency of their appearance in designs, and indicates peculiar spatial experiences embedded in an architectural style. The case study used small designs by Mies van der Rohe and Aldo van Eyck. The contribution of this paper is threefold. First, it introduces a sampling method based on 3D Isovist that generates a 2D image that can be used to represent a 3D space from a specific observation point. Second, it employs a CNN model to extract features from the sampled images, then classifies their corresponding space. Third, it demonstrates a few case studies where this space classification method is applied to different architectural styles.
keywords	design methods; information processing; AI; machine learning; computer vision; representation
series	ACADIA
email
last changed	2022/06/07 08:00

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