Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	acadia19_50
id	acadia19_50
authors	Ibrahim, Nazim; Joyce, Sam Conrad
year	2019
title	User Directed Parametric Design for Option Exploration
doi	https://doi.org/10.52842/conf.acadia.2019.050
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. 50-59
summary	The potential of parametric associative models to explore large ranges of different designs is limited by our ability to manually create and modify them. While computation has been successfully used to generate variations by optimizing input parameters, adding or changing ‘components’ and ‘links’ of these models has typically been manual and human driven. The intellectual overhead and challenges of manually creating and maintaining complex parametric models has limited their usefulness in early stages of design exploration, where a quicker and wider design search is preferred. Recent methods called Meta Parametric Design using Cartesian Genetic Programming (CGP) specifically tailored to operate on parametric models, allows computational generation and topological modification for parametric models. This paper proposes the refinement of Meta Parametric techniques to quickly generate and manipulate models with a higher level of control than existing; enabling a more natural human centric user-directed design exploration process. Opening new possibilities for the computer to act as a co-creator: able to generate its own novel solutions, steered at a high-level by user(s) and able to develop convergent or divergent solutions over an extended interaction session, replicating in a faster way a human design assistant.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:50

_id	ecaadesigradi2019_397
id	ecaadesigradi2019_397
authors	Cristie, Verina and Joyce, Sam Conrad
year	2019
title	'GHShot': a collaborative and distributed visual version control for Grasshopper parametric programming
doi	https://doi.org/10.52842/conf.ecaade.2019.3.035
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. 35-44
summary	When working with parametric models, architects typically focus on using rather structuring them (Woodbury, 2010). As a result, increasing design complexity typically means a convoluted parametric model, amplifying known problems: 'hard to understand, modify, share and reuse' (Smith 2007; Davis 2011). This practice is in contrast with conventional software-programming where programmers are known to meticulously document and structure their code with versioning tool. In this paper, we argue that versioning tools could help to manage parametric modelling complexity, as it has been showing with software counterparts. Four key features of version control: committing, differentiating, branching, and merging, and how they could be implemented in a parametric design practice are discussed. Initial user test sessions with 5 student designers using GHShot Grasshopper version control plugin (Cristie and Joyce 2018, 2017) revealed that the plugin is useful to record and overview design progression, share model, and provide a fallback mechanism.
keywords	Version Control; Parametric Design; Collaborative Design; Design Exploration
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	ecaadesigradi2019_195
id	ecaadesigradi2019_195
authors	Knecht, Katja, Stefanescu, Dimitrie A. and Koenig, Reinhard
year	2019
title	Citizen Engagement through Design Space Exploration - Integrating citizen knowledge and expert design in computational urban planning
doi	https://doi.org/10.52842/conf.ecaade.2019.1.785
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. 785-794
summary	A common understanding exists that citizens should become more involved in the design, planning, and governance of the city. Due to a lack of common platforms and difficulties in the meaningful integration of the participatory input, however, the tools and methods currently employed in citizen engagement are often ill connected to the design and governance tools and processes used by experts. In this paper we describe a Grasshopper and Rhino based approach, which allows designers to share a subset of the design space formed by parametric design variants with citizens via the online interface Beta.Speckle. In a user study we evaluated the usability of the tool as well as studied the design choices of participants, which were found to be influenced by preferences for visual order and underlying economic, social, and environmental values. For the future design of participatory exercises, it was concluded that indicators relating to citizens' values and preferences will allow for a more effective exploration of the design space and increase the meaningfulness of results.
keywords	design space exploration; citizen engagement; parametric urban design; computational urban planning; space matrix
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

_id	ecaadesigradi2019_602
id	ecaadesigradi2019_602
authors	Toulkeridou, Varvara
year	2019
title	Steps towards AI augmented parametric modeling systems for supporting design exploration
doi	https://doi.org/10.52842/conf.ecaade.2019.1.081
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. 81-90
summary	Dataflow parametric modeling environments have become popular as exploratory tools due to them allowing the variational exploration of a design by controlling the parameters of its parametric model schema. However, the nature of these systems requires designers to prematurely commit to a structure and hierarchy of geometric relationships, which makes them inflexible when it comes to design exploration that requires topological changes to the parametric modeling graph. This paper is a first step towards augmenting parametric modeling systems via the use of machine learning for assisting the user towards topological exploration. In particular, this paper describes an approach where Long Short-Term Memory recurrent neural networks, trained on a data set of parametric modeling graphs, are used as generative systems for suggesting alternative dataflow graph paths to the parametric model under development.
keywords	design exploration; visual programming; machine learning
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:58

_id	ecaadesigradi2019_350
id	ecaadesigradi2019_350
authors	Cheng, Chi-Li and Hou, June-Hao
year	2019
title	A highly integrated Horizontal coordinate-based tool for architecture
doi	https://doi.org/10.52842/conf.ecaade.2019.3.305
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. 305-312
summary	In this research, we attempt to develop a tool which integrates certain common geographic information from OpenStreetMap and OpenTopography into Grasshopper. We name it as OSMKIT temporarily. Besides, in order to make the integration in the design process easier, this tool includes the bilateral conversion function of coordinate in Rhinoceros 3D and the coordinate of the World Geodetic System. These characteristics bring about several possibilities for further usage. This paper contains explanations of functions and examples. For instance, it can be employed for data visualization on a map when these data contain coordinate information. Additionally, since this tool is simple and intuitive to convert points into GPS coordinates, it can make users plan drone for photogrammetry and deal with other related tasks on the rhinoceros 3D interface, helping them to gain most current urban models. Moreover, architects or designers can be not only users but also contributors for open source map system such as OpenStreetMap; the process of sharing the mode which user measure is demonstrated in this paper. To sum up, this coordinate system based tool is designed to be multifunctional and suitable for interdisciplinary usages in grasshopper.
keywords	open-source maps; data visualization; geographic information system; urban research; parametric design; interdisciplinary
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	caadria2019_241
id	caadria2019_241
authors	Cristie, Verina and Joyce, Sam Condrad
year	2019
title	Capturing Parametric Design Exploration Process - Emperical insights from user activity and design states data
doi	https://doi.org/10.52842/conf.caadria.2019.2.491
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. 491-500
summary	Computational design, especially parametric associative modelling tools, have opened a whole new world of possibility in design exploration. However, their now established use poses further questions regarding how they effect design process and ultimately the quality of the outcomes. Answering those questions requires a better understanding of parametric design process through empirical data. In this paper, we extend a method to systematically capture the design process into a structured data of designer's activity and design states. Analysis of design sessions reveal a unique pattern of parametric modelling and exploration strategies produced by each designer. Capability to save design process into structured design states shows potential to improve process.
keywords	Design exploration; Parametric Design; History Recording; Version control; Conceptual Design
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2019_117
id	caadria2019_117
authors	Deniz Kiraz, Leyla and Kocaturk, Tuba
year	2019
title	Integrating User-Behaviour as Performance Criteria in Conceptual Parametric Design
doi	https://doi.org/10.52842/conf.caadria.2019.1.215
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 215-224
summary	Prediction of user behaviour has always been problematic in architectural design. Several methods have already been developed and explored to model human behaviour in architecture. However, the majority of these methods are implemented during post-design evaluation where the insights obtained can only be implemented in a limited capacity. There is an apparent gap and opportunity, in current research and practice, to embed behaviour simulations directly into the conceptual design process. The proposed paper (research) aims to fill this gap. This paper will report on the results of a recently completed research exploring the integration process of Agent Based Modelling into the conceptual design process, using a parametric design approach. The research resulted in the development of a methodological framework for the integration of behavioural parameters into the explorative stages of the early design process. This paper also offers a categorisation and critical evaluation of existing Agent Based Modelling applications in current research and practice, which leads to the formulation of possible pathways for future implementation.
keywords	Performance Based Design; Generative Design; Behaviour Modelling; Agent Based Modelling; Parametric Design
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ecaadesigradi2019_191
id	ecaadesigradi2019_191
authors	Engel, Pedro
year	2019
title	CONTROLING DESIGN VARIATIONS - DESIGNING A SEMANTIC CONTROLER FOR A GENERATIVE SYSTEM
doi	https://doi.org/10.52842/conf.ecaade.2019.2.369
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. 369-376
summary	This article will describe the recent steps in the development of a computational generative system based on the selection and combination of ordinary architectural elements. Built as a Grasshopper definition, the system was conceived to generate designs of architectural façades and to produce models, physical and digital, for didactic use. More specifically, The paper will address the conception of controlling devices, that is, the parts of the computational system that govern design variations. This process involved two complementary actions: first, the definition of a clear organizational logic, where elements can be represented as a data structure that encompasses classes, sub-classes, sets, libraries and attributes; secondly, the establishment of means to operate the variations through the use of filters and heuristics based on visual patterns, allowing varying degrees of automation and user control. It will be argued that such organizational model paves the way to increase the number of design possibilities in the future and to and provide means to integrate of architectural criteria into the generation process. This research has received the support of CNPq.
keywords	Algorithm; Parametric Design; Architectural Design; Teaching ; Physical Model
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	ecaadesigradi2019_510
id	ecaadesigradi2019_510
authors	Giannopoulou, Effima, Baquero, Pablo, Warang, Angad, Orciuoli, Affonso and T. Estévez, Alberto
year	2019
title	Stripe Segmentation for Branching Shell Structures - A Data Set Development as a Learning Process for Fabrication Efficiency and Structural Performance
doi	https://doi.org/10.52842/conf.ecaade.2019.3.063
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. 63-70
summary	This article explains the evolution towards the subject of digital fabrication of thin shell structures, searching for the computational design techniques which allow to implement biological pattern mechanisms for efficient fabrication procedures. The method produces data sets in order to analyse and evaluate parallel alternatives of branching topologies, segmentation patterns, material usage, weight and deflection values as a user learning process. The importance here is given to the selection of the appropriate attributes, referring to which specific geometric characteristics of the parametric model are affecting each other and with what impact. The outcomes are utilized to train an Artificial Neural Network to predict new building information based on new combinations of desired parameters so that the user can decide and adjust the design based on the new information.
keywords	Digital Fabrication; Shell Structures; Segmentation; Machine Learning; Branching Topologies; Bio-inspired
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

_id	ecaadesigradi2019_567
id	ecaadesigradi2019_567
authors	Konieva, Kateryna, Joos, Michael Roberto, Herthogs, Pieter and Tunçer, Bige
year	2019
title	Facilitating Communication in a Design Process using a Web Interface for Real-time Interaction with Grasshopper Scripts
doi	https://doi.org/10.52842/conf.ecaade.2019.2.731
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. 731-738
summary	Urban design project development encompasses a wide range of disciplines and approaches, which often have separate goals, frameworks, and software tools. Lack of timely alignment of the disconnected expert inputs to the common vision leads to an increasing number of revisions and decreases chances for finding a compromise solution. We developed an intuitive browser-supported interface in order to incorporate various types of expert inputs and ways of representing the information to take a first step towards facilitating collaborative decision-making processes. The current paper describes the application of the developed tool on three exemplary case studies, where the expert and non-expert users' inputs are combined and analysed using Grasshopper scripts at the back-end. Pilot user studies conducted with professionals have shown that the tool has potential to facilitate collaboration across disciplines and compromise decisions, while most of the participants were still more likely to use it for communication with customers rather than the design team. It suggests that the interaction scheme of different actors with the tool needs to correspond better to the interaction of different actors during common negotiation processes. The findings suggest that the type of involvement of different stakeholders should be explored further in order to find the balance in functionality suitable for different parties.
keywords	computational design; design exploration; collaborative design
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

_id	cf2019_019
id	cf2019_019
authors	Lee, Seong-Ki ; Reinhard Koenig and Frank Petzold
year	2019
title	Computational Support for Interactive Exploration of Urban Design Variants
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 133
summary	This research aim is to develop a design support system for interactive exploration of urban space variants. During the early design process for urban masterplan, the design support system can evaluate the state of the design stage quickly and suggest alternative design variants to the designers. Design variants obtained while developing the design concept can be managed to be re-used. Through the management of design information at each design step, a designer can be supported to explore the history of the design process and reuse it. Therefore, it is possible to support breadth-first and depth-first design modes in solution development in a highly structured manner. Therefore, a user can practi ce informed decision making while preserving ownership during the design process, which can assist designer-led creative design activities.
keywords	Interactive Exploration, Urban Design, Design Support System, Design Process, Design Management
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	acadia19_422
id	acadia19_422
authors	Morse, Christopher; Soulos, Foteinos
year	2019
title	Interactive Facade Detail Design Reviews with the VR Scope Box
doi	https://doi.org/10.52842/conf.acadia.2019.422
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. 422-429
summary	We present the development of the VR Scope Box as an example of the potential for Virtual Reality to enhance the design process as an interactive medium. The opportunities afforded designers by virtual environments should not be limited to simple immersive visualization. The VR scope box is shown to able to visualize details in 3-dimensional space at a 1:1 scale with accurate material representations. This visualization is not restricted to a single typical example detail, but rather allows for the dynamic exploration of the entire facade system. At the same time, the building exterior as a whole is also visible, to allow for a simultaneous understanding of the connections and the consequences of those details on the building as a whole. Additionally, we discuss the importance of user experience on the usability and adoption of new tools within architectural design reviews and the advantages of developing such tools in-house.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:58

_id	acadia19_642
id	acadia19_642
authors	Chua, Pamela Dychengbeng; Hui, Lee Fu
year	2019
title	Compliant Laminar Assemblies
doi	https://doi.org/10.52842/conf.acadia.2019.642
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. 642-653
summary	This paper presents an innovative approach to the design and fabrication of three-dimensional objects from single-piece flat sheets, inspired by the origami technique of twist-closing. While in origami twist-closing is merely used to stabilize a cylindrical or spherical structure, ensuring it maintains its shape, this research investigates the potential of twist-closing as a multi-functional mechanism that also activates and controls the transformation of a planar surface into a predesigned three-dimensional form. This exploration is directed towards an intended application to stiff and brittle sheet materials that are difficult to shape through other processes. The methods we have developed draw mainly upon principles of lattice kirigami and laminar reciprocal structures. These are reflected in a workflow that integrates digital form-generation and fabrication-rationalization techniques to reference and apply these principles at every stage. Significant capabilities of the developed methodology include: (1) achievement of pseudo-double-curvature with brittle, stiff sheet materials; (2) stabilization in a 3D end-state as a frameless self-contained single-element laminar reciprocal structure—essentially a compliant mechanism; and (3) an ability to pre-encode 3D assembly constraints in a 2D cutout pattern, which guides a moldless fabrication process. The paper reviews the precedent geometric techniques and principles that comprise this method of 3D surface fabrication and describes a sample deployment of the method as applied to the design of laminar modules made of high-pressure laminate (HPL).
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_408
id	ecaadesigradi2019_408
authors	Lohse, Theresa and Werner, Liss C.
year	2019
title	Semi-flexible Additive Manufacturing Materials for Modularization Purposes - A modular assembly proposal for a foam edge-based spatial framework
doi	https://doi.org/10.52842/conf.ecaade.2019.1.463
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. 463-470
summary	This paper introduces a series of design and fabrication tests directed towards the use of bendable 3D printing materials in order to simplify a foam bubble-based geometry as a frame structure for modular assembly. The aspiration to reference a spittlebug's bubble cocoon in nature for a light installation in the urban context was integrated into a computational workflow conditioning light-weight, material-, and cost savings along with assembly-simplicity. Firstly, before elaborating on the project motivation and background in foam structures and applications of 3D-printed thermoplastic polyurethane (TPU) material, this paper describes the physical nature of bubble foams in its relevant aspects. Subsequently this is implemented into the parametric design process for an optimized foam structure with Grasshopper clarifying the need for flexible materials to enhance modular feasibility. Following, the additive manufacturing iterations of the digitally designed node components with TPU are presented and evaluated. Finally, after the test assembly of both components is depicted, this paper assesses the divergence between natural foams and the case study structure with respect to self-organizing behavior.
keywords	digital fabrication; 3D Printing; TPU flexibility ; modularity; optimization
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:59

_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_369
id	ecaadesigradi2019_369
authors	Contreras, Camilo Hernán
year	2019
title	Surfaces Plot - A data visualization system to support design space exploration
doi	https://doi.org/10.52842/conf.ecaade.2019.2.145
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. 145-152
summary	The notion of design spaces (DS) can be understood as the potential of a parametric model, it is basically the number of possible combinations for its input parameters. When combining tools that produce these alternatives automatically with different simulation softwares, the concept of parametric analysis (PA) emerges. This implies a simultaneous evaluation of the alternatives as they are constructed by the parametric model, producing large amounts of information. This article describes a sectional approach to the management of this information and a visualization technique to represent it looking for correlations between the input parameters and their performance. Correlations that are fundamental to making decisions with confidence when design problems challenge traditional methods of decision-making based on heuristics and design expertise.
keywords	Design Space ; Performance-Based Design; Parametric Analysis; Generative Design; Data Visualization
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_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
doi	https://doi.org/10.52842/conf.caadria.2021.2.131
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
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	caadria2020_431
id	caadria2020_431
authors	Kim, Jong Bum, Balakrishnan, Bimal and Aman, Jayedi
year	2020
title	Environmental Performance-based Community Development - A parametric simulation framework for Smart Growth development in the United States
doi	https://doi.org/10.52842/conf.caadria.2020.1.873
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. 873-882
summary	Smart Growth is an urban design movement initiated by Environmental Protection Agency (EPA) in the United States (Smart Growth America, 2019). The regulations of Smart Growth control urban morphologies such as building height, use, position, section configurations, faÃ§ade configurations, and materials, which have an explicit association with energy performances. This research aims to analyze and visualize the impact of Smart Growth developments on environmental performances. This paper presents a parametric modeling and simulation framework for Smart Growth developments that can model the potential community development scenarios, simulate the environmental footprints of each parcel, and visualize the results of modeling and simulation. We implemented and examined the proposed framework through a case study of two Smart Growth regulations: Columbia Unified Development Code (UDC) in Missouri (City of Columbia Missouri, 2017) and Overland Park Downtown Form-based Code (FBC) in Kansas City (City of Overland Park, 2017, 2019). Last, we discuss the implementation results, the limitations of the proposed framework, and the future work. We anticipate that the proposed method can improve stakeholders' understanding of how Smart Growth developments are associated with potential environmental footprints from an expeditious and thorough exploration of what-if scenarios of the multiple development schemes.
keywords	Smart Growth; Building Information Modeling (BIM); Parametric Simulation; Solar Radiation
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	cf2019_010
id	cf2019_010
authors	Lorenz, Clara-Larissa; Bleil De Souza, Spaeth and Packianather
year	2019
title	Machine Learning in Design Exploration: An Investigation of the Sensitivities of ANN-based Daylight Predictions
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 75-87
summary	The use of Artificial Neural Networks (ANNs) promises greater efficiency in the assessment of daylight situations than simulations. With the daylight factor under scrutiny and the recent adaptation of climate-based daylight metrics in British and European buildings standards, ANNs provide a possibility for instantaneous feedback on otherwise time-consuming performance metrices. This study demonstrates the application of ANNs as prediction systems in design exploration. A specific focus of the research is the flexibility of ANNs, their reliability and sensitivity to changes.
keywords	Artificial neural networks, atria, climate-based daylight modeling, daylight autonomy, daylight performance, parametric design
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	sigradi2023_416
id	sigradi2023_416
authors	Machado Fagundes, Cristian Vinicius, Miotto Bruscato, Léia, Paiva Ponzio, Angelica and Chornobai, Sara Regiane
year	2023
title	Parametric environment for internalization and classification of models generated by the Shap-E tool
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1689–1698
summary	Computing has been increasingly employed in design environments, primarily to perform calculations and logical decisions faster than humans could, enabling tasks that would be impossible or too time-consuming to execute manually. Various studies highlight the use of digital tools and technologies in diverse methods, such as parametric modeling and evolutionary algorithms, for exploring and optimizing alternatives in architecture, design, and engineering (Martino, 2015; Fagundes, 2019). Currently, there is a growing emergence of intelligent models that increasingly integrate computers into the design process. Demonstrating great potential for initial ideation, artificial intelligence (AI) models like Shap-E (Nichol et al., 2023) by OpenAI stand out. Although this model falls short of state-of-the-art sample quality, it is among the most efficient orders of magnitude for generating three-dimensional models through AI interfaces, offering practical balance for certain use cases. Thus, aiming to explore this gap, the presented study proposes an innovative design agency framework by employing Shap-E connected with parametric modeling in the design process. The generation tool has shown promising results; through generations of synthetic views conditioned by text captions, its final output is a mesh. However, due to the lack of topological information in models generated by Shap-E, we propose to fill this gap by transferring data to a parametric three-dimensional surface modeling environment. Consequently, this interaction's use aims to enable the transformation of the mesh into quantifiable surfaces, subject to collection and optimization of dimensional data of objects. Moreover, this work seeks to enable the creation of artificial databases through formal categorization of parameterized outputs using the K-means algorithm. For this purpose, the study methodologically orients itself in a four-step exploratory experimental process: (1) creation of models generated by Shap-E in a pressing manner; (2) use of parametric modeling to internalize models into the Grasshopper environment; (3) generation of optimized alternatives using the evolutionary algorithm (Biomorpher); (4) and classification of models using the K-means algorithm. Thus, the presented study proposes, through an environment of internalization and classification of models generated by the Shap-E tool, to contribute to the construction of a new design agency methodology in the decision-making process of design. So far, this research has resulted in the generation and classification of a diverse set of three-dimensional shapes. These shapes are grouped for potential applications in machine learning, in addition to providing insights for the refinement and detailed exploration of forms.
keywords	Shap-E, Parametric Design, Evolutionary Algorithm, Synthetic Database, Artificial Intelligence
series	SIGraDi
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last changed	2024/03/08 14:09

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