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	ecaadesigradi2019_605
id	ecaadesigradi2019_605
authors	Andrade Zandavali, Bárbara and Jiménez García, Manuel
year	2019
title	Automated Brick Pattern Generator for Robotic Assembly using Machine Learning and Images
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 217-226
doi	https://doi.org/10.52842/conf.ecaade.2019.3.217
summary	Brickwork is the oldest construction method still in use. Digital technologies, in turn, enabled new methods of representation and automation for bricklaying. While automation explored different approaches, representation was limited to declarative methods, as parametric filling algorithms. Alternatively, this work proposes a framework for automated brickwork using a machine learning model based on image-to-image translation (Conditional Generative Adversarial Networks). The framework consists of creating a dataset, training a model for each bond, and converting the output images into vectorial data for robotic assembly. Criteria such as: reaching wall boundary accuracy, avoidance of unsupported bricks, and brick's position accuracy were individually evaluated for each bond. The results demonstrate that the proposed framework fulfils boundary filling and respects overall bonding structural rules. Size accuracy demonstrated inferior performance for the scale tested. The association of this method with 'self-calibrating' robots could overcome this problem and be easily implemented for on-site.
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	acadia19_392
id	acadia19_392
authors	Steinfeld, Kyle
year	2019
title	GAN Loci
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 392-403
doi	https://doi.org/10.52842/conf.acadia.2019.392
summary	This project applies techniques in machine learning, specifically generative adversarial networks (or GANs), to produce synthetic images intended to capture the predominant visual properties of urban places. We propose that imaging cities in this manner represents the first computational approach to documenting the Genius Loci of a city (Norberg-Schulz, 1980), which is understood to include those forms, textures, colors, and qualities of light that exemplify a particular urban location and that set it apart from similar places. Presented here are methods for the collection of urban image data, for the necessary processing and formatting of this data, and for the training of two known computational statistical models (StyleGAN (Karras et al., 2018) and Pix2Pix (Isola et al., 2016)) that identify visual patterns distinct to a given site and that reproduce these patterns to generate new images. These methods have been applied to image nine distinct urban contexts across six cities in the US and Europe, the results of which are presented here. While the product of this work is not a tool for the design of cities or building forms, but rather a method for the synthetic imaging of existing places, we nevertheless seek to situate the work in terms of computer-assisted design (CAD). In this regard, the project is demonstrative of a new approach to CAD tools. In contrast with existing tools that seek to capture the explicit intention of their user (Aish, Glynn, Sheil 2017), in applying computational statistical methods to the production of images that speak to the implicit qualities that constitute a place, this project demonstrates the unique advantages offered by such methods in capturing and expressing the tacit.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:56

_id	ecaade2024_222
id	ecaade2024_222
authors	Bindreiter, Stefan; Sisman, Yosun; Forster, Julia
year	2024
title	Visualise Energy Saving Potentials in Settlement Development: By linking transport and energy simulation models for municipal planning
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 79–88
doi	https://doi.org/10.52842/conf.ecaade.2024.2.079
summary	To achieve Sustainable Development Goals, in addition to the switch to sustainable energy sources and energy-efficient buildings, transport offers a major lever for reducing energy consumption and greenhouse gases. The increasing demand for emission-free mobility (e.g. through electromobility) but also heat pumps has a direct impact on the electricity consumption of buildings and settlements. It is still difficult to simulate the effects and interactions of different measures as sector coupling concepts require comprehensible tools for ex ante evaluation of planning measures at the community level and the linking of domain-specific models (energy, transport). Using the municipality of Bruck an der Leitha (Austria) as an example, a digital twin based on an open data model (Bednar et al., 2020) is created for the development of methods, which can be used to simulate measures to improve the settlement structure within the municipality. Forecast models for mobility (Schmaus, 2019; Ritz, 2019) and the building stock are developed or applied and linked via the open data model to be able to run through development scenarios and variants. The forecasting and visualisation options created in the project form the basis for the ex-ante evaluation of measures and policies on the way to a Positive-Energy-District. By identifying and collecting missing data, data gaps are filled for the simulation of precise models in the specific study area. A digital, interactive 3D model is created to examine the forecast results and the different scenarios.
keywords	visualisation, decision support, sector coupling, holistic spatial energy models for municipal planning, (energy) saving potentials in settlement development
series	eCAADe
email
last changed	2024/11/17 22:05

_id	cf2019_002
id	cf2019_002
authors	De Luca, Francesco
year	2019
title	Environmental Performance-Driven Urban Design Parametric Design Method for the Integration of Daylight and Urban Comfort Analysis in Cold Climates
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 21
summary	Shape of built environment and image of cities are significantly influenced by environmental factors such as access to natural light, air temperature and wind. Adequate quantity of daylight in building interiors is important for occupant wellbeing and energy saving. In Estonia minimum quantity of daylight is required by building standards. Wind speed increased by urban environment at northern latitudes can significantly reduce pedestrian perceived temperature during winter inducing strong cold stress. This paper presents a method for the integration of parametric modeling and environmental simulations to analyze interiors and exteriors comfort of tower building cluster variations in different urban areas in Tallinn. Optimal pattern characteristics such as buildings distance and alignment favoring improvement of interiors daylight and decrease of pedestrian cold stress are presented and discussed.
keywords	Daylight, Urban Comfort, Environmental Analysis, PerformanceDriven Urban Design, Parametric Design
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	acadia19_664
id	acadia19_664
authors	Koshelyuk, Daniil; Talaei, Ardeshir; Garivani, Soroush; Markopoulou, Areti; Chronis, Angelo; Leon, David Andres; Krenmuller, Raimund
year	2019
title	Alive
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 664-673
doi	https://doi.org/10.52842/conf.acadia.2019.664
summary	In the context of data-driven culture, built space still maintains low responsiveness and adaptability. Part of this reality lies in the low resolution of live information we have about the behavior and condition of surfaces and materials. This research addresses this issue by exploring the development of a deformation-sensing composite membrane material system following a bottom-up approach and combining various technologies toward solving related technical issues—exploring conductivity properties of graphene and maximizing utilization within an architecture-related proof-of-concept scenario and a workflow including design, fabrication, and application methodology. Introduced simulation of intended deformation helps optimize the pattern of graphene nanoplatelets (GNP) to maximize membrane sensitivity to a specific deformation type while minimizing material usage. Research explores various substrate materials and graphene incorporation methods with initial geometric exploration. Finally, research introduces data collection and machine learning techniques to train recognition of certain types of deformation (single point touch) on resistance changes. The final prototype demonstrates stable and symmetric readings of resistance in a static state and, after training, exhibits an 88% prediction accuracy of membrane shape on a labeled sample data-set through a pre-trained neural network. The proposed framework consisting of a simulation based, graphene-capturing fabrication method on stretchable surfaces, and includes initial exploration in neural network training shape detection, which combined, demonstrate an advanced approach to embedding intelligence.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:51

_id	caadria2020_395
id	caadria2020_395
authors	Loo, Stella Yi Ning, Jayashankar, Dhileep Kumar, Gupta, Sachin and Tracy, Kenneth
year	2020
title	Hygro-Compliant: Responsive Architecture with Passively Actuated Compliant Mechanisms
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. 223-232
doi	https://doi.org/10.52842/conf.caadria.2020.1.223
summary	Research investigating water-driven passive actuation demonstrates the potential to transform how buildings interact with their environment while avoiding the complications of conventionally powered actuation. Previous experiments evidence the possibilities of bi-layer materials (Reichert, Menges, and Correa 2015; Correa et al. 2015) and mechanical assemblies with discretely connected actuating members (Gupta et al. 2019). By leveraging changes in weather to power actuated building components these projects explore the use of smart biomaterials and responsive building systems. Though promising the implementation of these technologies requires deep engagement into material synthesis and fabrication. This paper presents the design and prototyping of a rain responsive faÃ§ade system using chitosan hygroscopic films as actuators counterbalanced by programmed compliant mechanisms. Building on previous work into chitosan film assemblies this research focuses on the development of compliant mechanisms as a means of controlling movement without over-complicated rotating parts.
keywords	Passive Actuation; Responsive Architecture; Bio-polymers; 4D Structures; Compliant Mechanism
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	ecaadesigradi2019_298
id	ecaadesigradi2019_298
authors	Zboinska, Malgorzata A.
year	2019
title	Artistic computational design featuring imprecision - A method supporting digital and physical explorations of esthetic features in robotic single-point incremental forming of polymer sheets
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 719-728
doi	https://doi.org/10.52842/conf.ecaade.2019.1.719
summary	Design strategies that employ digital and material imprecision to achieve esthetic innovation exhibit high potential to transform the current precision-oriented practices of computation and digital fabrication in architecture. However, such strategies are still in their infancy. We present a design method facilitating intentionally-imprecise esthetic explorations within the framework of digital design and robotic single-point incremental forming. Our method gives access to the esthetic fine-tuning of molds from which architectural objects are cast. Semi-precise computational operations of extending, limiting, deepening and shallowing the geometrical deformations of the mold through robot toolpath fine-tuning are enabled by a digital toolkit featuring parametric modeling, surface curvature analyses, photogrammetry, digital photography and bitmap image retouching and painting. Our method demonstrates the shift of focus from geometric accuracy and control of material behaviors towards intentionally-imprecise digital explorations that yield novel esthetic features of architectural designs. By demonstrating the results of applying our method in the context of an exploration-driven design process, we argue that imprecision can be equally valid to accuracy, opening a vast, excitingly unknown territory for material-mediated esthetic explorations within digital fabrication. Such explorations can interestingly alter the esthetic canons and computational design methods of digital architecture in the nearest future.
keywords	Artistic architectural design; artistic digital crafting; creative robotics; material agency; fabrication inaccuracies; robotic single-point incremental forming of polymers
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:57

_id	cf2019_050
id	cf2019_050
authors	Erdine, Elif ; Giulio Gianni, Angel Fernando Lara Moreira, Alvaro Lopez Rodriguez, Yutao Song and Alican Sungur
year	2019
title	Robot-Aided Fabrication of Light-Weight Structures with Sheet Metal Expansion
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 433
summary	This paper presents a novel approach for the creation of metal lightweight self-supporting structures through the employment of metal kerfing and robotic sheet panel expansion. Research objectives focus on the synthesis of material behavior on a local scale and the structural performance on a global scale via advanced computational and robotic methods. There are inherent structural properties to expanded metal sheets which can be employed to achieve an integrated building system without the need for a secondary supporting structure. A computational workflow that integrates Finite Element Analysis, geometrical optimization, and robotic toolpath planning has been developed. This workflow is informed by the parameters of material experimentation on sheet metal kerfing and robotic sheet metal expansion on the local panel scale. The proposed methodology is applied on a range of panels with a custom-built robotic fabrication setup for the design, fabrication, and assembly of a one-to-one scale working prototype.
keywords	Robotic fabrication, Robotic sheet metal expansion, Light-weight structure, Metal kerfing, Metal expansion
series	CAAD Futures
email
last changed	2019/07/29 14:18

_id	ecaadesigradi2019_135
id	ecaadesigradi2019_135
authors	Newton, David
year	2019
title	Deep Generative Learning for the Generation and Analysis of Architectural Plans with Small Datasets
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 21-28
doi	https://doi.org/10.52842/conf.ecaade.2019.2.021
summary	The field of generative architectural design has explored a wide range of approaches in the automation of design production, but these approaches have demonstrated limited artificial intelligence. Generative Adversarial Networks (GANs) are a leading deep generative model that use deep neural networks (DNNs) to learn from a set of training examples in order to create new design instances with a degree of flexibility and fidelity that outperform competing generative approaches. Their application to generative tasks in architecture, however, has been limited. This research contributes new knowledge on the use of GANs for architectural plan generation and analysis in relation to the work of specific architects. Specifically, GANs are trained to synthesize architectural plans from the work of the architect Le Corbusier and are used to provide analytic insight. Experiments demonstrate the efficacy of different augmentation techniques that architects can use when working with small datasets.
keywords	generative design; deep learning; artificial intelligence; generative adversarial networks
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:58

_id	caadria2020_259
id	caadria2020_259
authors	Rhee, Jinmo, Veloso, Pedro and Krishnamurti, Ramesh
year	2020
title	Integrating building footprint prediction and building massing - an experiment in Pittsburgh
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. 669-678
doi	https://doi.org/10.52842/conf.caadria.2020.2.669
summary	We present a novel method for generating building geometry using deep learning techniques based on contextual geometry in urban context and explore its potential to support building massing. For contextual geometry, we opted to investigate the building footprint, a main interface between urban and architectural forms. For training, we collected GIS data of building footprints and geometries of parcels from Pittsburgh and created a large dataset of Diagrammatic Image Dataset (DID). We employed a modified version of a VGG neural network to model the relationship between (c) a diagrammatic image of a building parcel and context without the footprint, and (q) a quadrilateral representing the original footprint. The option for simple geometrical output enables direct integration with custom design workflows because it obviates image processing and increases training speed. After training the neural network with a curated dataset, we explore a generative workflow for building massing that integrates contextual and programmatic data. As trained model can suggest a contextual boundary for a new site, we used Massigner (Rhee and Chung 2019) to recommend massing alternatives based on the subtraction of voids inside the contextual boundary that satisfy design constraints and programmatic requirements. This new method suggests the potential that learning-based method can be an alternative of rule-based design methods to grasp the complex relationships between design elements.
keywords	Deep Learning; Prediction; Building Footprint; Massing; Generative Design
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia19_630
id	acadia19_630
authors	Ahlquist, Sean
year	2019
title	Expanding the Systematic Agencyof a Material System
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 630-641
doi	https://doi.org/10.52842/conf.acadia.2019.630
summary	Computational design and fabrication have reached an accomplished level of ubiquity and proficiency in the field of architecture, in both academia and practice. Materiality driving structure, responsiveness, and spatial organization can be seen to evolve, in kind, with the capabilities to fabricate deeper material hierarchies. Such maturity of a procedural material-driven approach spurs a need to shift from the dictations of how to explorations of why material efficiencies, bespoke aesthetics, and performativity are critical to a particular architecture, requiring an examination of linkages between approach, techniques, and process. The material system defines a branch of architectural research utilizing bespoke computational techniques to generate performative material capacities that are inextricably linked to both internal and external forces and energies. This paper examines such a self-referential view to define an expanded ecological approach that integrates new modes of design agency and shift the material system from closed-loop relationship with site to open-ended reciprocation with human behavior. The critical need for this capacity is shown in applications of novel textile hybrid material systems—as sensorially-responsive environments for children with the neurological autism spectrum disorder—in ongoing research titled Social Sensory Architectures. Through engaging fabrication across all material scales, manners of elastic responsivity are shown, through a series of feasibility studies, to exhibit a capacity for children to become design agents in exploring the beneficial interrelationship of sensorimotor agency and social behavior. The paper intends to contribute a theoretical approach by which novel structural capacities of a material system can support a larger ecology of social and behavioral agency.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:54

_id	caadria2019_234
id	caadria2019_234
authors	Bamborough, Chris
year	2019
title	The Nature of Data in Early Modern Architectural Practice.
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 343-352
doi	https://doi.org/10.52842/conf.caadria.2019.2.343
summary	In contemporary data-driven society, forces of capital increasingly seek risk-averse decision making through data and digital calculation, aligned to this the discourse around design intelligence in architecture has begun to embrace the role of data and the technical non-human as much as the human. In parallel, the cultural understanding of data, in technologically mediated societies, has become tied to the digital representation of information experienced in everyday life, which in turn influences human practices. A problem exists in the dominance of scientific thought around data in architecture that exerts disciplinary bias towards quantity rather than quality. In contemporary digital practice, data is assumed to offer an objective characterisation of the world and have faithful representation through the mechanisms of the computer. From this shift, a macro question exists concerning the influence of data's conceptualisation on the physical products of architecture. To contribute to this overall question this paper considers the register of data in early modernism identified as a moment when scientific abstraction and the mapping capacity of the machine combine to afford recognisable data practices and infrastructures.
keywords	Data; Design Practice; Infrastructure; History; Theory
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_449
id	ecaadesigradi2019_449
authors	Becerra Santacruz, Axel
year	2019
title	The Architecture of ScarCity Game - The craft and the digital as an alternative design process
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 45-52
doi	https://doi.org/10.52842/conf.ecaade.2019.3.045
summary	The Architecture of ScarCity Game is a board game used as a pedagogical tool that challenges architecture students by involving them in a series of experimental design sessions to understand the design process of scarcity and the actual relation between the craft and the digital. This means "pragmatic delivery processes and material constraints, where the exchange between the artisan of handmade, representing local skills and technology of the digitally conceived is explored" (Huang 2013). The game focuses on understanding the different variables of the crafted design process of traditional communities under conditions of scarcity (Michel and Bevan 1992). This requires first analyzing the spatial environmental model of interaction, available human and natural resources, and the dynamic relationship of these variables in a digital era. In the first stage (Pre-Agency), the game set the concept of the craft by limiting students design exploration from a minimum possible perspective developing locally available resources and techniques. The key elements of the design process of traditional knowledge communities have to be identified (Preez 1984). In other words, this stage is driven by limited resources + chance + contingency. In the second stage (Post-Agency) students taking the architects´ role within this communities, have to speculate and explore the interface between the craft (local knowledge and low technological tools), and the digital represented by computation data, new technologies available and construction. This means the introduction of strategy + opportunity + chance as part of the design process. In this sense, the game has a life beyond its mechanics. This other life challenges the participants to exploit the possibilities of breaking the actual boundaries of design. The result is a tool to challenge conventional methods of teaching and leaning controlling a prescribed design process. It confronts the rules that professionals in this field take for granted. The game simulates a 'fake' reality by exploring in different ways with surveyed information. As a result, participants do not have anything 'real' to lose. Instead, they have all the freedom to innovate and be creative.
keywords	Global south, scarcity, low tech, digital-craft, design process and innovation by challenge.
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_619
id	ecaadesigradi2019_619
authors	Beyer, Bastian, Suárez, Daniel and Palz, Norbert
year	2019
title	Microbiologically Activated Knitted Composites - Reimagining a column for the 21st century
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 541-552
doi	https://doi.org/10.52842/conf.ecaade.2019.2.541
summary	A column is an archetypal constituent of architecture which historically underwent constant reiteration in accordance with the prevalent architectural style, material culture or technical and structural possibilities. The project reimagined this architectural element through harnessing the synergies of digital design, textile logic, and contemporary biotechnology. Textile materiality and aesthetic are deeply rooted in architectural history as a soft and ephemeral antipode to rigid building materials. An investigation in historic mechanical hand-knitting techniques allowed to extract their underlying structural and geometric logic to develop a structural optimisation pipeline with a graded yarn as a base material and a geometric optimization based on local distribution of knitting patterns. Bacterially driven biocalcification was applied to transform the soft textile structure into a rigid material. Hereby an active textile microbiome was established through colonizing of the yarn with the bacterium S. pasteurii which successively precipitated calcite on microscale within the textile substrate hence ultimately influencing the global structural behaviour of the column.
keywords	textile microbiome; material customization; knitting; yarn augmentation
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

_id	ijac201917106
id	ijac201917106
authors	Brown, Nathan C. and Caitlin T. Mueller
year	2019
title	Design variable analysis and generation for performance-based parametric modeling in architecture
source	International Journal of Architectural Computing vol. 17 - no. 1, 36-52
summary	Many architectural designers recognize the potential of parametric models as a worthwhile approach to performance- driven design. A variety of performance simulations are now possible within computational design environments, and the framework of design space exploration allows users to generate and navigate various possibilities while considering both qualitative and quantitative feedback. At the same time, it can be difficult to formulate a parametric design space in a way that leads to compelling solutions and does not limit flexibility. This article proposes and tests the extension of machine learning and data analysis techniques to early problem setup in order to interrogate, modify, relate, transform, and automatically generate design variables for architectural investigations. Through analysis of two case studies involving structure and daylight, this article demonstrates initial workflows for determining variable importance, finding overall control sliders that relate directly to performance and automatically generating meaningful variables for specific typologies.
keywords	Parametric design, design space formulation, data analysis, design variables, dimensionality reduction
series	journal
email
last changed	2019/08/07 14:04

_id	ecaadesigradi2019_381
id	ecaadesigradi2019_381
authors	Buš, Peter
year	2019
title	Large-scale Prototyping Utilising Technologies and Participation - On-demand and Crowd-driven Urban Scenarios
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 847-854
doi	https://doi.org/10.52842/conf.ecaade.2019.2.847
summary	The paper theorises and elaborates the idea of crowd-driven assemblies for flexible and adaptive constructions utilising automatic technologies and participatory activities within the context of twenty-first century cities. As economic and technological movements and shifts in society and cultures are present and ongoing, the building technology needs to incorporate human inputs following the aspects of customisation to build adaptive architectural and urban scenarios based on immediate decisions made according to local conditions or specific spatial demands. In particular, the paper focuses on large-scale prototyping for urban applications along with on-site interactions between humans and automatic building technologies to create on-demand spatial scenarios. It discusses the current precedents in research and practice and speculates future directions to be taken in creation, development or customisation of contemporary and future cities based on participatory and crowd-driven building activities. The main aim of this theoretical overview is to offer a more comprehensive understanding of the relations between technology and humans in the context of reactive and responsive built environments.
keywords	large-scale urban prototyping; on-site participation; human-machine interaction; intelligent cities; responsive cities; urban autopoiesis
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	caadria2021_089
id	caadria2021_089
authors	Cristie, Verina, Ibrahim, Nazim and Joyce, Sam Conrad
year	2021
title	Capturing and Evaluating Parametric Design Exploration in a Collaborative Environment - A study case of versioning for parametric design
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. 131-140
doi	https://doi.org/10.52842/conf.caadria.2021.2.131
summary	Although parametric modelling and digital design tools have become ubiquitous in digital design, there is a limited understanding of how designers apply them in their design processes (Yu et al., 2014). This paper looks at the use of GHShot versioning tool developed by the authors (Cristie & Joyce, 2018; 2019) used to capture and track changes and progression of parametric models to understand early-stage design exploration and collaboration empirically. We introduce both development history graph-based metrics (macro-process) and parametric model and geometry change metric (micro-process) as frameworks to explore and understand the captured progression data. These metrics, applied to data collected from three cohorts of classroom collaborative design exercises, exhibited students' distinct modification patterns such as major and complex creation processes or minor parameter explorations. Finally, with the metrics' applicability as an objective language to describe the (collaborative) design process, we recommend using versioning for more data-driven insight into parametric design exploration processes.
keywords	Design exploration; parametric design; history recording; version control; collaborative design
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	cf2019_051
id	cf2019_051
authors	Dickey , Rachel
year	2019
title	Soft Additive Fabrication Processes: Material Indeterminacy in 3D Printing
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 434
summary	This description of Soft Additive Fabrication Processes, documents ways in which chance and randomness might be treated as values rather than problems. The production of a series of robotically controlled extruder experiments explore integrating material volition with the rigid order of machine control. Specifically this paper outlines the development of tooling procedures that harness emergent conditions in the automation of qualitative material effects. A key question for the research asks, how might architects imagine a design and construction scenario, which is no longer confined to prescriptive material dimensions, but is instead driven by digitally calibrated stochastic material processes? What opportunities might arise from developing an automated system, which does not rely on direct translation, but instead operates and predicts outcomes within a range of potential results?
keywords	Additive manufacturing, robotics, 3D printing, indeterminacy, material volition
series	CAAD Futures
email
last changed	2019/07/29 14:18

_id	caadria2019_286
id	caadria2019_286
authors	Dobbs, Tiara
year	2019
title	Face-to-Face with People in Spaces - A method to identify face-to-face interactions using an indoor positioning system.
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 643-652
doi	https://doi.org/10.52842/conf.caadria.2019.2.643
summary	Recent developments in indoor positioning technology means gathering personal interaction data is possible however, the process of analysing this data to determine where and when interactions occur indoors is not yet standardised.This paper proposes a method to gather and examine indoor positioning data to infer face-to-face interactions indoors. The case study looks specifically at indoor office environment however the principles shown can be applied to other indoor spaces. This paper explores a high-level technological methodology that gathers indoor positioning data from users. A formula is used to calculate if, when and where interactions occur over a floor-plan, as well as visualising these interactions to highlight high and low interaction areas. The system considers the proximity between the individuals, the angle between their forward physical orientation, and any obstructions that might divide individuals from each other. The information presented in this paper can be used as a theoretical baseline to inform future post-occupancy evaluation methods. Additionally, this paper demonstrates the merit of using indoor positioning systems to test the effectiveness of design principles in encouraging face-to-face interactions of the users.
keywords	Post-occupancy evaluations; Face-to-face interac-tions; Indoor positioning system; Data driven design
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ecaadesigradi2019_641
id	ecaadesigradi2019_641
authors	Dunn, Kate, Haeusler, M. Hank, Zavoleas, Yannis, Bishop, Mel, Dafforn, Katherine, Sedano, Francisco, Yu, Daniel and Schaefer, Nina
year	2019
title	Recycled Sustainable 3D Printing Materials for Marine Environments
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 583-592
doi	https://doi.org/10.52842/conf.ecaade.2019.2.583
summary	The paper discusses the design and testing of sustainable recycled materials for large scale 3D printed construction in a marine context. This research is part of a 3-phase project involving a multidisciplinary team of designers, architects, material specialists and marine ecologists. The Bio Shelters Project uses an innovative approach to designing and fabricating marine bio-shelters that ecologically enhance seawalls, by promoting native biodiversity and providing seawater filtration, carbon sequestration and fisheries productivity. The design of the 3D print structure is a data-driven approach that incorporates ecological data to optimise the form for growth and survivorship of marine species under the environmental conditions of the installation site as well as being an integral part of the design project and the site.
keywords	3D printing; material research; sustainability; marine biology
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

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