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	acadia17_28
id	acadia17_28
authors	Aguiar, Rita; Cardoso, Carmo; Leit?o,António
year	2017
title	Algorithmic Design and Analysis Fusing Disciplines
doi	https://doi.org/10.52842/conf.acadia.2017.028
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. 28-37
summary	In the past, there has been a rapid evolution in computational tools to represent and analyze architectural designs. Analysis tools can be used in all stages of the design process, but they are often only used in the final stages, where it might be too late to impact the design. This is due to the considerable time and effort typically needed to produce the analytical models required by the analysis tools. A possible solution would be to convert the digital architectural models into analytical ones, but unfortunately, this often results in errors and frequently the analytical models need to be built almost from scratch. These issues discourage architects from doing a performance-oriented exploration of their designs in the early stages of a project. To overcome these issues, we propose Algorithmic Design and Analysis, a method for analysis that is based on adapting and extending an algorithmic-based design representation so that the modeling operations can generate the elements of the analytical model containing solely the information required by the analysis tool. Using this method, the same algorithm that produces the digital architectural model can also automatically generate analytical models for different types of analysis. Using the proposed method, there is no information loss and architects do not need additional work to perform the analysis. This encourages architects to explore several design alternatives while taking into account the design’s performance. Moreover, when architects know the set of design variations they wish to analyze beforehand, they can easily automate the analysis process.
keywords	design methods; information processing; simulation & optimization; BIM; generative system
series	ACADIA
email
last changed	2022/06/07 07:54

_id	ijac201715402
id	ijac201715402
authors	Alaçam, Sema; Orkan Zeynel Güzelci, Ethem Gürer and Saadet Zeynep Bac?noglu
year	2017
title	Reconnoitring computational potentials of the vault-like forms: Thinking aloud on muqarnas tectonics
source	International Journal of Architectural Computing vol. 15 - no. 4, 285-303
summary	This study sheds light on a holistic understanding of muqarnas with its historical, philosophical and conceptual backgrounds on one hand and formal, structural and algorithmic principles on the other hand. The vault-like Islamic architectural element, muqarnas, is generally considered to be a non-structural decorative element. Various compositional approaches have been proposed to reveal the inner logic of these complex geometric elements. Each of these approaches uses different techniques such as measuring, unit-based decoding or three-dimensional interpretation of two-dimensional patterns. However, the reflections of the inner logic onto different contexts, such as the usage of different initial geometries, materials or performative concerns, were neglected. In this study, we offer a new schema to approach the performative aspects of muqarnas tectonics. This schema contains new sets of elements, properties and relations deriving partly from previous approaches and partly from the technique of folding. Thus, this study first reviews the previous approaches to analyse the geometric and constructional principles of muqarnas. Second, it explains the proposed scheme through a series of algorithmic form-finding experiments. In these experiments, we question whether ‘fold’, as one of the performative techniques of making three-dimensional forms, contributes to the analysis of muqarnas in both a conceptual and computational sense. We argue that encoding vault-like systems via geometric and algorithmic relations based on the logic of the ‘fold’ provides informative and intuitive feedback for form-finding, specifically in the earlier phases of design. While focusing on the performative potential of a specific fold operation, we introduced the concept of bifurcation to describe the generative characteristics of folding technique and the way of subdividing the form with respect to redistribution of the forces. Thus, in this decoding process, the bifurcated fold explains not only to demystify the formal logic of muqarnas but also to generate new forms without losing contextual conditions.
keywords	Muqarnas, vault, layering, folding, force flow, bifurcation
series	journal
email
last changed	2019/08/07 14:03

_id	ecaade2017_031
id	ecaade2017_031
authors	Castelo Branco, Renata and Leit?o, António
year	2017
title	Integrated Algorithmic Design - A single-script approach for multiple design tasks
doi	https://doi.org/10.52842/conf.ecaade.2017.1.729
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. 729-738
summary	Many great architectural endeavors today engage in a multi software approach, as each specialty involved needs a different software, and different task required from the architect, such as 3D modeling, analysis or rendering, also benefit from the use of different tools. Combining them in the same process is not always a successful endeavor. A more effective portability mechanism is needed, and Algorithmic Design (AD) has the potential to become one. This paper explores the advantages of the algorithmic approach to the design process, and proposes a methodology capable of integrating the different tools and paradigms currently used in architecture. The methodology is based on the development of a computer program that describes not only the intended model, but also additional tasks, such as the required analysis and rendering. It takes advantage of CAD, BIM and analysis tools, with little effort when it comes to the transition between them.
keywords	Algorithmic Design; CAD; BIM; Analysis tools
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2021_103
id	ecaade2021_103
authors	Hussein, Hussein E. M., Agkathidis, Asterios and Kronenburg, Robert
year	2021
title	Towards a Free-form Transformable Structure - A critical review for the attempts of developing reconfigurable structures that can deliver variable free-form geometries
doi	https://doi.org/10.52842/conf.ecaade.2021.2.381
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 381-390
summary	In continuation of our previous research (Hussein, et al., 2017), this paper examines the kinetic transformable spatial-bar structures that can alter their forms from any free-form geometry to another, which can be named as Free-form transformable structures (FFTS). Since 1994, some precedents have been proposed FFTS for many applications such as controlling solar gain, providing interactive kinetic forms, and control the users' movement within architectural/urban spaces. This research includes a comparative analysis and a critical review of eight FFTS precedents, which revealed some design and technical considerations, issues, and design and evaluation challenges due to the FFTS ability to deliver infinite unpredictable form variations. Additionally, this research presents our novel algorithmic framework to design and evaluate the infinite form variations of FFTS and an actuated prototype that achieved the required movement. The findings of this study revealed some significant design and technical challenges and limitations that require further research work.
keywords	Kinetic transformable structures; finite element analysis; form-finding; deployable structures; Grasshopper 3D; Karamba 3D
series	eCAADe
email
last changed	2022/06/07 07:50

_id	cf2017_492
id	cf2017_492
authors	Kocabay, Serkan; Alaçam, Sema
year	2017
title	Algorithm Driven Design: Comparison of Single-Objective and Multi-Objective Genetic Algorithms in the Context of Housing Design
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 492-508.
summary	This paper aims to present a dynamic multi objective genetic algorithm (MOGA) framework for the purpose of generating 3D mass models in the context of housing design. The proposed MOGA framework contains static and dynamic modules such as regulations, environmental condition analysis as static, behavioral models, designer-specified goals, domain-specific goals based on building types as dynamic modules. Moreover comparison of two algorithmic approaches, implementation of a single and multiple objective genetic algorithms are compared in terms of variety and usability of the generated design solutions, fitness approximation performances and the speed of the algorithms (running time). In the scope of this study, the potentials andlimitations of the proposed MOGA framework in 3D form generation, its advantages over single objective genetic algorithm are discussed, conducted with a case study.
keywords	Multi-objective, Genetic Algorithm, Housing Design, Mass-model
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	caadria2017_054
id	caadria2017_054
authors	Leit?o, António, Castelo Branco, Renata and Cardoso, Carmo
year	2017
title	Algorithmic-Based Analysis - Design and Analysis in a Multi Back-end Generative Tool
doi	https://doi.org/10.52842/conf.caadria.2017.137
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. 137-146
summary	Estimating a building's performance is part of the engineering and architecture discipline. Nowadays, this estimation is done using analysis tools. In many cases, these analysis tools require specialized building models that are simplifications of the actual models. Unfortunately, the adaptations that need to be done to an existing model are tiresome and make the architect less willing to evaluate variations of the building design. Moreover, in the case of buildings with complex shapes, the analyses tend to be less reliable. These problems also occur when algorithmic approaches are used to generate the building design, as the algorithmic script needs to be adapted to satisfy the requirements of the analysis tool, or the manual adaptation of the generated model needs to be repeated each time the script is executed. To solve these issues we propose Algorithmic-Based Analysis. This is a Generative Design method that, utilizing a single algorithmic-based representation of a building, can generate not only the traditional CAD or BIM model, but also specialized models for use in different kinds of analysis.
keywords	Generative Design; Building Performance; Analysis; Performance-based Design; Algorithmic-Based Analysis
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	acadia17_456
id	acadia17_456
authors	Page, Mitchell
year	2017
title	A Robotic Fabrication Methodology for Dovetail and Finger Jointing: An Accessible & Bespoke Digital Fabrication Process for Robotically-Milled Dovetail & Finger Joints
doi	https://doi.org/10.52842/conf.acadia.2017.456
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. 456- 463
summary	Since the advent of industrialized processes in modern construction industries, the development of and relationship between computer-aided tools of design and computer-controlled tools of fabrication has steadily yielded new and innovative construction methodologies. Whilst industry has adopted many of these innovations for use by highly efficient machines and flexible processes, their operation is often highly dependent on industrial scales of production, and thus often inaccessible for small-scale, bespoke and affordable application. The prototype integrated joint milling methodology, case study and open-source software plugin ‘Dove’ presented in this paper, explores the efficacy of algorithmic processes in dynamically generating complex tooling paths and machine code for fabrication of bespoke dovetail and finger joints on a 6-axis industrial robot. The versatility, speed and precision of 6-axis robotic milling, allows us to liberate the efficiency, integrity and aesthetic of the dovetail and finger joint types from traditional application, and apply them to new architectures involving mass-customisation, complex form, and diverse materialities. In the development of full-immersion milling toolpaths and back-face filleting techniques that drastically reduce cutting times, tool path complexity and material waste, this study seeks to build upon past and current research by proposing a comparatively simple, efficient and more intuitive approach to robotically-fabricated integrated jointing for application at a variety of scales.
keywords	material and construction; fabrication; construction/robotics; digital craft; manual craft
series	ACADIA
email
last changed	2022/06/07 07:58

_id	ecaade2017_143
id	ecaade2017_143
authors	Pizzigoni, Attilio, Paris, Vittorio, Micheletti, Andrea and Ruscica, Giuseppe
year	2017
title	Advanced tools and algorithms for parametric landscape urbanism
doi	https://doi.org/10.52842/conf.ecaade.2017.1.461
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. 461-470
summary	In the last decades, urban design has been influenced by its relationship with landscape. This has led to a new approach formalised and called Landscape Urbanism. Defining specific reading and analysis instruments together with proper design methods, capable of a transdisciplinary dialogue with geography, plant and biological world's languages, landscape urbanism can undoubtedly obtain more performing purposes than the ones achieved by traditional urban planning. Moreover, new digital tools are appearing, providing urbanism with new instruments for an advanced and interactive way to design cities in close relationship with landscape. The process starts with the acquisition of large quantity of data, like georeferenced maps in conjunction with relevant information about the territory, such as traffic and atmospheric pollution data, important buildings and monuments or significant landscape elements (rivers, mountains, etc.). All this information is combined onto multiple layers in order to be used by different design algorithms, connected by multi-dimensional arrays, whose reciprocal relations are dynamically controlled by architects and engineers. We will present here the case study of an ecological and regenerative infrastructure for the city of Bergamo designed on the basis of these principles, using a convenient combination of parametric tools.
keywords	algorithmic city planning; landscape urbanism; post-urban architecture
series	eCAADe
email
last changed	2022/06/07 08:00

_id	sigradi2021_31
id	sigradi2021_31
authors	Sampaio, Hugo Guimaraes, Lima, Mariana Monteiro Xavier de and Cardoso, Daniel Ribeiro
year	2021
title	Parametric Modeling as Record of Memory of Vernacular Boats
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 657–668
summary	This work seeks to continue the research started in 2017 about the triangle boat type, based on the traditional models of the municipality of Icapuí in Ceará / Brazil. The intention is to expand and refine the research, analyzing the construction process and the typology of the boats. For this, it is proposed to define a typology and a shape grammar of the boats and implement, in a digitally-based system, a formalized language. The methodology adopted in this work starts from a knowledge construction process following the Design Science Research strategy. The main result is an in-depth analysis of the description and representation of a vernacular design of the triangle boats. The documentation approach using parametric modeling offers great contributions to the memory and cultural heritage preservation, since an algorithmic description is able to retain information pertaining to both the material and immaterial part of the artifact.
keywords	Modelagem paramétrica. Patrimônio digital. Patrimônio cultural. Design vernacular. Embarcaçao
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	acadia17_146
id	acadia17_146
authors	Black, Conor; Forwood, Ed
year	2017
title	Game Engine Computation for Serious Engineering: Visualisation and Analysis of Building Facade Movements as a Consequence of Loads on the Primary Structure
doi	https://doi.org/10.52842/conf.acadia.2017.146
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. 146-153
summary	This paper demonstrates the innovative use of game engines as a tool in the analysis and communication of complex structural engineering. It specifically looks at the relationship between a building’s primary structure and its façade. The analysis and visualisations, scripted using the Game Engine Unity3D, focuses on visualising the implications of movements from the primary structure [under various load cases] on the façade. This paper describes the novel process by which Unity3D is utilised to create an applet which imports displacements from structural software and post-processes the data to visualise the complex effect on façade panels according to its support conditions. It demonstrates that visualising facade movements in real-time, as opposed to current, static report-based descriptions, provide access for the comprehension of more complex building systems. This therefore has the possibility to reduce safety factors applied to facade movement joints.
keywords	design methods; information processing; game engines; fabrication; simulation & optimization
series	ACADIA
email
last changed	2022/06/07 07:52

_id	acadia17_212
id	acadia17_212
authors	De Luca, Francesco
year	2017
title	Solar Form Finding: Subtractive Solar Envelope and Integrated Solar Collection Computational Method for High-Rise Buildings in Urban Environments
doi	https://doi.org/10.52842/conf.acadia.2017.212
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. 212-221
summary	Daylight standards contribute significantly to the form of buildings and the urban environment. Direct solar access of existing and new buildings can be considered through the use of solar envelope and solar collection isosurface methods. The first determines the maximum volume and shape that new buildings cannot exceed to guarantee the required solar rights on existing surrounding facades. The latter predicts the portion of facades of new buildings that will receive the required direct sunlight hours in urban environments. Nowadays, environmental design software based on the existing methods permits the generation of solar envelopes and solar collection isosurfaces to use in the schematic design phase. Nevertheless, the existing methods and software present significant limitations when used to design buildings that must fulfil the Estonian daylight standard. Recent research has successfully developed computational workflows based on the existing methods and available tools to tackle such shortcomings. The present work uses the findings to propose a novel computational method to generate solar envelopes and integrate solar collection analysis. It is a subtractive form-finding method that is more efficient than the existing additive methods and other recent workflows when it is applied to high-rise buildings in fragmented urban environments. The tests performed show that the new method permits the realisation of compliant and larger solar envelopes, which furthermore embed formal properties. The objective of the research is to contribute to the development of computational methods and tools to integrate direct solar access performance efficiently into the design process.
keywords	design methods; information processing; simulation & optimization; form finding
series	ACADIA
email
last changed	2022/06/07 07:55

_id	acadia17_284
id	acadia17_284
authors	Hu, Zhengrong; Park, Ju Hong
year	2017
title	HalO [Indoor Positioning Mobile Platform]: A Data-Driven, Indoor-Positioning System With Bluetooth Low Energy Technology To Datafy Indoor Circulation And Classify Social Gathering Patterns For Assisting Post Occupancy Evaluation
doi	https://doi.org/10.52842/conf.acadia.2017.284
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. 284-291
summary	Post-Occupancy Evaluation (POE) as an integrated field between architecture and sociology has created practical guidelines for evaluating indoor human behavior within a built environment. This research builds on recent attempts to integrate datafication and machine learning into POE practices that may one day assist Building Information Modeling (BIM) and multi-agent modeling. This research is based on two premises: 1) that the proliferation of Bluetooth Low Energy (BLE) technology allows us to collect a building user’s data cost-effectively and 2) that the growing application of machine learning algorithms allows us to process, analyze and synthesize data efficiently. This study illustrates that the mobile platform HalO can serve as a generic tool for datafication and automation of data analysis of the movement of a building user. In this research, the iOS mobile application HalO, combined with BLE beacons enable building providers (architects, developers, engineers and facility managers etc.) to collect the user’s indoor location data. Triangulation was used to pinpoint the user’s indoor positions, and k-means clustering was applied to classify users into different gathering groups. Through four research procedures—Design Intention Analysis, Data Collection, Data Storage and Data Analysis—the visualized and classified data helps building providers to better evaluate building performance, optimize building operations and improve the accuracy of simulations.
keywords	design methods; information processing; data mining; IoT; AI; machine learning
series	ACADIA
email
last changed	2022/06/07 07:49

_id	acadia17_298
id	acadia17_298
authors	Johnson, Jason S.; Gardner, Guy
year	2017
title	Pareidolic Formations
doi	https://doi.org/10.52842/conf.acadia.2017.298
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
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_318
id	acadia17_318
authors	Khan, Sumbul; Tunçer, Bige
year	2017
title	Intuitive and Effective Gestures for Conceptual Architectural Design: An Analysis Of User Elicited Hand Gestures For 3D CAD Modeling
doi	https://doi.org/10.52842/conf.acadia.2017.318
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. 318- 323
summary	Gesture-based natural interfaces necessitate research into gestures that are intuitive for designers and effective for natural interaction. Intuitive knowledge is significant for conceptual design as it reduces time taken to complete tasks and improves usability of products. In a previously conducted experiment, we elicited gestures for 3D CAD modeling tasks for conceptual architectural design. In this study, we present a preliminary analysis of intuitiveness scores of gestures and evaluators’ ratings to analyze which gestures were more intuitive and effective for CAD manipulation tasks. Results show that gestures with high intuitive scores were not necessarily rated as effective by evaluators and that bimanual symmetric gestures consistently scored high for both intuitiveness and effectiveness. Based on our findings we give recommendations for the design of gesture-based CAD modeling systems for single and multiple users.
keywords	design methods; information processing; HCI; collaboration; art and technology
series	ACADIA
email
last changed	2022/06/07 07:52

_id	acadia17_366
id	acadia17_366
authors	Lin, Yuming; Huang, Weixin
year	2017
title	Behavior Analysis and Individual Labeling Using Data from Wi-Fi IPS
doi	https://doi.org/10.52842/conf.acadia.2017.366
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. 366- 373
summary	It is fairly important for architects and urban designers to understand how different people interact with the environment. However, traditional investigation methods for studying environmental behavior are quite limited in their coverage of samples and regions, which are not sufficient to delve into the behavioral differences of people. Only recently, the development of indoor positioning systems (IPS) and data-mining techniques has made it possible to collect full-time, full-coverage data for behavioral difference research and individualized identification. In our research, the Wi-Fi IPS system is chosen among the various IPS systems as the data source due to its extensive applicability and acceptable cost. In this paper, we analyzed a 60-day anonymized dataset from a ski resort, collected by a Wi-Fi IPS system with 110 Wi-Fi access points. Combining this with mobile phone data and questionnaires, we revealed some interesting characteristics of tourists from different origins through spatial-temporal behavioral data, and further conducted individual labeling through supervised learning. Through this case study, temporal-spatial behavioral data from an IPS system exhibited great potential in revealing individual characteristics besides exploring group differences, shedding light on the prospect of architectural space personalization.
keywords	design methods; information processing; data mining; big data
series	ACADIA
email
last changed	2022/06/07 07:59

_id	acadia17_392
id	acadia17_392
authors	Mesa, Olga; Stavric, Milena; Mhatre, Saurabh; Grinham, Jonathan; Norman, Sarah; Sayegh, Allen; Bechthold, Martin
year	2017
title	Non-Linear Matters: Auxetic Surfaces
doi	https://doi.org/10.52842/conf.acadia.2017.392
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. 392- 403
summary	Auxetic structures exhibiting non-linear buckling are a prevalent research topic in the material sciences due to the ability to tune their reversible actuation, porosity, and negative Poisson’s ratio. However, the research is limited to feature sizes at scales below 10 mm2, and to date, there are no available efficient design and prototyping methods for architectural designers. Our study develops design principles and workflow methods to transform standard materials into auxetic surfaces at an architectural scale. The auxetic behavior is accomplished through buckling and hinging by subtracting from a homogeneous material to create perforated patterns. The form of the perforations, including shape, scale, and spacing, determines the behavior of multiple compliant "hinges" generating novel patterns that include scaling and tweening transformations. An analytical method was introduced to generate hinge designs in four-fold symmetric structures that approximate non-linear buckling. The digital workflow integrates a parametric geometry model with non-linear finite element analysis (FEA) and physical prototypes to rapidly and accurately design and fabricate auxetic materials. A robotic 6-axis waterjet allowed for rapid production while maintaining needed tolerances. Fabrication methods allowed for spatially complex shaping, thus broadening the design scope of transformative auxetic material systems by including graphical and topographical biases. The work culminated in a large-scale fully actuated and digitally controlled installation. It was comprised of auxetic surfaces that displayed different degrees of porosity, contracting and expanding while actuated electromechanically. The results provide a promising application for the rapid design of non-linear auxetic materials at scales complimentary to architectural products.
keywords	material and construction; CAM; prototyping; smart materials; auxetic
series	ACADIA
email
last changed	2022/06/07 07:58

_id	acadia17_404
id	acadia17_404
authors	Miller, Nathan; Stasiuk, David
year	2017
title	A Novel Mesh-Based Workflow for Complex Geometry in BIM
doi	https://doi.org/10.52842/conf.acadia.2017.404
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. 404- 413
summary	Various well-established digital modeling software platforms enable architectural design teams to rapidly sculpt and iterate over complex, doubly curved, and organic geometries. However, the software platforms that are used to author such geometries are rarely the same that are used for later-stage project development and delivery. For these phases of project execution, projects of even modest complexity are managed through building information modeling (BIM) software. Yet most BIM solutions are not suitable for natively handling the design of geometrically complex forms, failing to provide lightweight, responsive, or flexible authoring interfaces. A further complication is their inability to readily import or integrate any complex geometric elements or assemblies generated elsewhere. The development of improvements to interoperability between authoring and production software therefore remains an important goal in contemporary architectural practice. This paper describes a practical methodology that then engages various Application Programming Interfaces (APIs) and open-source programming tools to address the problem of interoperability for complex geometry in BIM. Specifically, it identifies meshes as a well-positioned data structure for use within the context of preparing complex design geometry for BIM production. We describe a novel technique for the efficient interoperability of complex NURBS poly-surface objects from one authoring platform, employing design meshes that cleanly capture not just geometry, but also user and procedurally derived descriptive data elements for advanced representation and analysis within a BIM production environment.
keywords	design methods; information processing; BIM
series	ACADIA
email
last changed	2022/06/07 07:58

_id	acadia17_426
id	acadia17_426
authors	Moorman, Andrew
year	2017
title	Pattern Making and Learning: Non-Routine Practices in Generative Design
doi	https://doi.org/10.52842/conf.acadia.2017.426
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
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_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
doi	https://doi.org/10.52842/conf.acadia.2017.436
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
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	acadia17_522
id	acadia17_522
authors	Sarafian, Joseph; Culver, Ronald; Lewis, Trevor S.
year	2017
title	Robotic Formwork in the MARS Pavilion: Towards The Creation Of Programmable Matter
doi	https://doi.org/10.52842/conf.acadia.2017.522
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. 522- 533
summary	The proliferation of parametric tools has allowed for the design of previously impossible geometry, but the construction industry has failed to keep pace. We demonstrate the use of industrial robots to disrupt the ancient process of casting concrete and create an adjustable formwork capable of generating various cast components based on digital input, crafting a new approach to “programmable matter.” The resulting research delineates a novel methodology to facilitate otherwise cost-prohibitive, even impossible design. The MARS Pavilion employs this methodology in a building-sized proof of concept where manipulating fabric with industrial robots achieves previously unattainable precision while casting numerous connective concrete components to form a demountable lattice structure. The pavilion is the result of parametric form finding, in which a catenary structure ensures that the loads are acting primarily in compression. Every concrete component is unique, yet can be assembled together with a 1/16-inch tolerance. Expanding Culver & Sarafian’s previous investigations, industrial robot arms are sent coordinates to position fabric sleeves into which concrete is poured, facilitating a rapid digital-to-physical casting process. With this fabrication method, parametric variation in design is cost-competitive relative to other iterative casting techniques. This digital breakthrough necessitated analogue material studies of rapid-setting, high-strength concrete and flexible, integral reinforcing systems. The uniquely shaped components are coupled with uniform connectors designed to attach three limbs of concrete, forming a highly stable, compressive hex-grid shell structure. A finite element analysis (FEA) was a critical step in the structural engineering process to simulate various load scenarios on the pavilion and drive the shape of the connective elements to their optimal form.
keywords	material and construction; fabrication; form finding
series	ACADIA
email
last changed	2022/06/07 07:57

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