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	cf2017_585
id	cf2017_585
authors	Ben, Yuqiang; Niblock, Chantelle; Bonenberg, Lukasz
year	2017
title	Lincoln Cathedral Interactive Virtual Reality Exhibition
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. 585-595.
summary	This paper demonstrates a workflow converting terrestrial laser scan (TLS) data into an interactive virtual reality (VR) platform. A VR exhibition prototype of Lincoln Cathedral was created to validate the established workflow in terms of the technical and visual performance, usability, and functionality. It combined TLS data and storytelling to produce a shareable platform, inviting opportunities for public engagement, and to facilitate custodians with the tools to maintain the building’s heritage. The paper discusses the use of open sourcesoftware and suggests future work.
keywords	3D Laser Scan, Virtual Reality, User Experience, Building Heritage
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	caadria2017_101
id	caadria2017_101
authors	Dounas, Theodoros, Spaeth, Benjamin, Wu, Hao and Zhang, Chenke
year	2017
title	Speculative Urban Types - A Cellular Automata Evolutionary Approach
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. 313-322
doi	https://doi.org/10.52842/conf.caadria.2017.313
summary	The accelerated rate of urbanization in China is the motivator behind this paper. As a response to the observed monotonous housing developments in Suzhou Industrial Park (SIP) and elsewhere our method exploits Cellular Automata (CA) combined with fitness evaluation algorithms to explore speculatively the potential of building regulations for increased density and diversity through an automated design algorithm. The well-known Game of Life CA is extended from its original 2-dimensional functionality into the realm of three dimensions and enriched with the possibility of resizing the involved cells according to their function. Moreover our method integrates the "social condenser" as a means of diversifying functional distribution within the Cellular Automata as well as solar radiation as requested by the existing building regulation. The method achieves a densification of the development from 31% to 39% ratio of footprint to occupied volume whilst obeying the solar radiation rule and offering a more diverse functional occupation. This proof of concept demonstrates a solid approach to the automated design of housing developments at an urban scale with a ,yet limited, evaluation procedure including solar radiation which can be extended to other performance criteria in future work.
keywords	integrated Speculation; Generative Urbanism; Cellular Automata
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	cf2017_648
id	cf2017_648
authors	Dounas, Theodoros; Spaeth, A. Benjamin; Wu, Hao; Zhang, Chenke
year	2017
title	Dense Urban Typologies and the Game of Life: Evolving Cellular Automata
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. 648-666.
summary	The ongoing rate of urbanization in China is the motivator behind this paper. As a response to the observed monotonous housing developments in Suzhou Industrial Park (SIP) and elsewhere our method exploits Cellular Automata (CA) combined with fitness evaluation algorithms to explore speculatively the potential of existing developments and respective building regulations for increased density and diversity through an automated design algorithm. The well-known Game of Life CA is extended from its original 2-dimensional functionality into the realm of three dimensions and enriched with the opportunity of resizing the involved cells according to their function. Moreover our method integrates an earlier technique of constrcuctivists namely the “social condenser” as a means of diversifying functional distribution within the Cellular Automata as well as solar radiation as requested by the existing building regulation. The method achieves a densification of the development from 31% to 39% ratio of footprint to occupied volume whilst obeying the solar radiation rule and offering a more diverse functional occupation. This proof of concept demonstrates a solid approach to the automated design of housing developments at an urban scale with a ,yet limited, evaluation procedure including solar radiation which can be extended to other performance criteria in future work.
keywords	Evolutionary Design, Generative Urbanism, Integrated Strategy
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	acadia19_90
id	acadia19_90
authors	Forward, Kristen; Taron, Joshua
year	2019
title	Waste Ornament
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. 90-99
doi	https://doi.org/10.52842/conf.acadia.2019.090
summary	The emergence of computational design and fabrication tools has escalated the potentials of architectural ornamentation to become innovative, beautiful, and highly sustainable. Historically, ornament has been known to express character and reveal relationships between materiality, technological advances, and societal evolution. But ornament rapidly declined in the late 1800s in large part due to mechanization and modernist ideals of uniform, unadorned façade components. However, ornamentation in architecture has recently reappeared—a development that can be linked closely to advancements in computational design and digital fabrication. While these advancements offer the ability to create expressive architecture, their potential contribution to the improvement of sustainable architecture has largely been overlooked (Augusti-Juan and Habert 2017). This paper provides a brief revisitation to the history of ornament and investigates the impact of computation and automation on the production of contemporary ornament. The paper also attempts to catalog examples of how designers have used computational technologies to address the growing criticality of environmental concerns. Moreover, the paper presents the Waste Ornament project, a research platform that critically examines how we can leverage technology to augment the visual and sustainable performance of facade ornamentation to reduce energy use in buildings. Three sub-projects are identified as territories for further research into sustainable ornamentation, ranging from material sourcing, to high-performance buildings, to the development of a systematic upcycling process that transforms old facades into new ones. While the examples are not exhaustive, they attempt to interlace the general ideas of waste and ornament by addressing particular issues that converge at building envelopes.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:51

_id	acadia20_382
id	acadia20_382
authors	Hosmer, Tyson; Tigas, Panagiotis; Reeves, David; He, Ziming
year	2020
title	Spatial Assembly with Self-Play Reinforcement Learning
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 382-393.
doi	https://doi.org/10.52842/conf.acadia.2020.1.382
summary	We present a framework to generate intelligent spatial assemblies from sets of digitally encoded spatial parts designed by the architect with embedded principles of prefabrication, assembly awareness, and reconfigurability. The methodology includes a bespoke constraint-solving algorithm for autonomously assembling 3D geometries into larger spatial compositions for the built environment. A series of graph-based analysis methods are applied to each assembly to extract performance metrics related to architectural space-making goals, including structural stability, material density, spatial segmentation, connectivity, and spatial distribution. Together with the constraint-based assembly algorithm and analysis methods, we have integrated a novel application of deep reinforcement (RL) learning for training the models to improve at matching the multiperformance goals established by the user through self-play. RL is applied to improve the selection and sequencing of parts while considering local and global objectives. The user’s design intent is embedded through the design of partial units of 3D space with embedded fabrication principles and their relational constraints over how they connect to each other and the quantifiable goals to drive the distribution of effective features. The methodology has been developed over three years through three case study projects called ArchiGo (2017–2018), NoMAS (2018–2019), and IRSILA (2019-2020). Each demonstrates the potential for buildings with reconfigurable and adaptive life cycles.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	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
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
doi	https://doi.org/10.52842/conf.acadia.2017.284
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	caadria2017_105
id	caadria2017_105
authors	Janssen, Patrick
year	2017
title	Evolutionary Urbanism - Exploring Form-based Codes Using Neuroevolution Algorithms
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. 303-312
doi	https://doi.org/10.52842/conf.caadria.2017.303
summary	Form-Based Codes are legal regulations adopted by local government that allow specific urban forms to be achieved. Such codes have a significant impact on the performative potential of the urban environment. This paper explores the possibility of using a neuroevolution algorithm to elucidate the complex relationship between Form-based Codes and their performative potential. More specifically, Compositional Pattern Producing Networks (CPPN) are used to generate parameter fields, which then drive the generation of varied urban models. For evolving the CPPN networks, a neuroevolution algorithm is used, called Neuroevolution of Augmenting Topologies (NEAT). In order to test the feasibility of the proposed approach, an abstract experiment is described in which a population of urban models are evolved, optimising a set of performance criteria related to the vista and location of the residential units.
keywords	Form-based codes; evolutionary design; neural networks; neuroevolution; urban planning
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	ijac201715202
id	ijac201715202
authors	Koutamanis, Alexander
year	2017
title	Briefing and Building Information Modelling: Potential for integration
source	International Journal of Architectural Computing vol. 15 - no. 2, 120-133
summary	The article brings together the subjects of briefing and Building Information Modelling. It considers the brief as information source for Building Information Modelling and Building Information Modelling as an environment for automating brief- related analysis and guidance. The approach is characterized by feedforward and feedback, incorporation of constraints from the brief in Building Information Modelling, connection of briefing goals to performance analysis and correlation of requirements in the brief to Building Information Modelling object properties and relations. To test the approach, 10 briefs are parsed into goals, constraints and requirements, which are then considered for integration in Building Information Modelling. As the majority of these items can become part of a model and subject to automated analyses, integration of briefing in Building Information Modelling is proposed as a viable option that can improve design and briefing performance but also signals significant changes to briefing.
keywords	Briefing, Building Information Modelling, integration, continuity, feedforward, feedback, analysis
series	other
type	normal paper
email
last changed	2019/08/02 08:29

_id	ecaade2017_059
id	ecaade2017_059
authors	Narangerel, Amartuvshin, Lee, Ji-Hyun and Stouffs, Rudi
year	2017
title	Thermal and Daylighting Optimization of Complex 3D Faceted Façade for Office Building
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. 209-218
doi	https://doi.org/10.52842/conf.ecaade.2017.1.209
summary	Conventional façade design and its impact on building energy as well as indoor comfort is a well-researched topic in the architecture field. This paper examines the potential of a complex 3D shaped building envelope, elaborating on previous work by implementing energy simulation within the building façade optimization process. The multi-objective optimizations are conducted considering total thermal energy, electricity generation through BIPV, and daylighting in generic single person office rooms under meteorological data of Korea and Singapore. The performance of the non-dominants is analyzed and the results show an improvement in all objectives comparing with the preliminary study.
keywords	Parametric facade design; muli-objective optimization; energy optimization; daylighting; form finding
series	eCAADe
email
last changed	2022/06/07 07:58

_id	sigradi2022_51
id	sigradi2022_51
authors	Varsami, Constantina; Tsamis, Alexandros; Logan, Timothy
year	2022
title	Gaming Engine as a Tool for Designing Smart, Interactive, Light-Sculpting Systems
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 617–628
summary	Even though interactive (Offermans et.al., 2013), adaptive (Viani et.al., 2017), and self-optimizable (Sun et.al., 2020) lighting systems are becoming readily available, designing system automations, and evaluating their impact on user experience significantly challenges designers. In this paper we demonstrate the use of a gaming engine as a platform for designing, simulating, and evaluating autonomous smart lighting behaviors. We establish the Human - Lighting System Interaction Framework, a computational framework for developing a Light Sculpting Engine and for designing occupant-system interactions. Our results include a. a method for combining in real-time lighting IES profiles into a single ‘combined’ profile - b. algorithms that optimize in real-time, lighting configurations - c. direct glare elimination algorithms, and d. system energy use optimization algorithms. Overall, the evolution from designing static building components to designing interactive systems necessitates the reconsideration of methods and tools that allow user experience and system performance to be tuned by design.
keywords	User Experience, Human-Building Interaction, Smart Lighting, Lighting Simulation, Gaming Engine
series	SIGraDi
email
last changed	2023/05/16 16:56

_id	ijac201715103
id	ijac201715103
authors	Wortmann, Thomas
year	2017
title	Surveying design spaces with performance maps: A multivariate visualization method for parametric design and architectural design optimization
source	International Journal of Architectural Computing vol. 15 - no. 1, 38-53
summary	This article presents a method to visualize high-dimensional parametric design spaces with applications in computational design processes and interactive optimization. The method extends Star Coordinates using a triangulation-based interpolation with Barycentric Coordinates. It supports the understanding of design problems in architectural design optimization by allowing designers to move between a high-dimensional design space and a low-dimensional Performance Map. This Performance Map displays the characteristics of the fitness landscape, develops designers’ intuitions about the relationships between design parameters and performance, allows designers to examine promising design variants, and delineates promising areas for further design exploration.
keywords	Fitness landscape, design space exploration, multivariate visualization, optimization, Star Coordinates
series	other
type	normal paper
email
last changed	2019/08/02 08:25

_id	ecaade2017_033
id	ecaade2017_033
authors	Yan, Wei
year	2017
title	WP-BIM: Web-based Parametric BIM Towards Online Collaborative Design and Optimization
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 527-534
doi	https://doi.org/10.52842/conf.ecaade.2017.2.527
summary	We present initial experiments of Web-based Parametric Building Information Modeling (WP-BIM) towards collaborative design, modeling, simulation, and optimization. A new framework that integrates Web-based information technology (WebGL graphics, networking, and Web browsers), and design computing technology (visual programming) into parametric BIM is prototyped for the experiments. The integration of Web technology is going to enable online collaborative and user participatory design. Connected through the Web platform, a BIM model, visual programming-based user interfaces for parametric changes, and an optimization algorithm, which may reside in different servers or local computers in different geographical locations, have the potential to be integrated and working together to resolve design optimization problems, especially if combined with cloud-based performance simulation tools. After future development, this may allow architects, engineers, clients, etc. to collaboratively work on a project with up-to-date building data and different design and simulation tools.
keywords	Web-based; Parametric Modeling; BIM; Collaborative Design; Optimization
series	eCAADe
email
last changed	2022/06/07 07:57

_id	acadia17_28
id	acadia17_28
authors	Aguiar, Rita; Cardoso, Carmo; Leit?o,António
year	2017
title	Algorithmic Design and Analysis Fusing Disciplines
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
doi	https://doi.org/10.52842/conf.acadia.2017.028
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	ecaade2017_085
id	ecaade2017_085
authors	Agustí-Juan, Isolda, Hollberg, Alexander and Habert, Guillaume
year	2017
title	Integration of environmental criteria in early stages of digital fabrication
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 185-192
doi	https://doi.org/10.52842/conf.ecaade.2017.2.185
summary	The construction sector is responsible for a big share of the global energy, resource demand and greenhouse gas emissions. As such, buildings and their designers are key players for carbon mitigation actions. Current research in digital fabrication is beginning to reveal its potential to improve the sustainability of the construction sector. To evaluate the environmental performance of buildings, life cycle assessment (LCA) is commonly employed. Recent research developments have successfully linked LCA to CAD and BIM tools for a faster evaluation of environmental impacts. However, these are only partially applicable to digital fabrication, because of differences in the design process. In contrast to conventional construction, in digital fabrication the geometry is the consequence of the definition of functional, structural and fabrication parameters during design. Therefore, this paper presents an LCA-based method for design-integrated environmental assessment of digitally fabricated building elements. The method is divided into four levels of detail following the degree of available information during the design process. Finally, the method is applied to the case study "Mesh Mould", a digitally fabricated complex concrete wall that does not require any formwork. The results prove the applicability of the method and highlight the environmental benefits digital fabrication can provide.
keywords	Digital fabrication; Parametric LCA; Early design; Sustainability
series	eCAADe
email
last changed	2022/06/07 07:54

_id	cf2017_115
id	cf2017_115
authors	Alambeigi, Pantea; Chen, Canhui; Burry, Jane; Cheng, Eva
year	2017
title	Shape the Design with Sound Performance Prediction: A Case Study for Exploring the Impact of Early Sound Performance Prediction on Architectural 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. 115-127.
summary	Acoustics is typically considered only late in developed design or even post occupancy, if at all, for specification of finishes and furnishing, and typically with a remedial mindset. In this paper, the role of sound performance as a design driver in increasing the speech privacy of a semi-enclosed meeting space in an open plan interior is studied. Sound performance prediction is applied as an imperative input to inform the meeting space design. The design is the second iteration in an evolving series of meeting spaces, and therefore has benefited from both subjective experiments and objective measurements performed with the first meeting space prototype. This study promotes a design method that offers a strong relationship between the digital simulation of sound performance and design development. By improving the speech privacy of a meeting space by means of purely form, geometry and design decisions, the significance of architecture in tuning the sound performance of a space is investigated.
keywords	Sound Performance Prediction, Sound Simulation, Meeting Space, Architectural Design
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	sigradi2017_016
id	sigradi2017_016
authors	Alexandre da Silva, Geovany Jessé; Carlos Alejandro Nome, Lucy Donegan
year	2017
title	Ferramentas de Projeto para análise da qualidade urbana: Relacionando forma, usos, densidade e configuração espacial na cidade de João Pessoa, Brasil. [Design tools to assess urban quality: Relating form, uses, density and spatial configuration in João Pessoa city, Brazil.]
source	SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.123-129
summary	This paper describes an experience in a Graduate course Architecture and Urbanism that used computational tools to analyze urban quality – considering form, uses, density and spatial configuration (based on visual and fields) – in different urban areas in the city of João Pessoa. Understanding that the city is a problem in organized complexity, different aspects condition the quality of use of spaces and reveal urban dynamics. Urban analysis aided by computational tools revealed successful in characterizing different problems and potentialities that can lay the foundation for interventions with more urban quality.
keywords	Design computational tools; Study of urban form, uses and density; Urban space performance; Spatial configuration.
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2017_175
id	ecaade2017_175
authors	Alfaiate, Pedro and Leit?o, António
year	2017
title	Luna Moth - A Web-based Programming Environment for Generative Design
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 511-518
doi	https://doi.org/10.52842/conf.ecaade.2017.2.511
summary	Current Generative Design (GD) tools require installation and regular updates. On top of that, programs that are created using them are stored as files, which have to be moved and shared manually with others. On the other hand, web applications are accessible using just a web browser and they can also store information remotely, meaning that it does not need to be moved and is easily shared with others. Consequently, GD tools should also be available as web applications to get the same functionality. We present Luna Moth, an IDE for GD available from the web that shows the relationship between a program and its results and integrates into the architect's workflow. Then, we give examples where Luna Moth's features help the architect during the programming process. Finally, we compare Luna Moth's performance with other IDEs, namely, Grasshopper, OpenJSCAD, and Rosetta.
keywords	Generative Design; Web application; Design tool integration;
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia17_102
id	acadia17_102
authors	Aparicio, German
year	2017
title	Data-Insight-Driven Project Delivery: Approach to Accelerated Project Delivery Using Data Analytics, Data Mining and Data Visualization
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. 102-109
doi	https://doi.org/10.52842/conf.acadia.2017.102
summary	Today, 98% of megaprojects face cost overruns or delays. The average cost increase is 80% and the average slippage is 20 months behind schedule (McKinsey 2015). It is becoming increasingly challenging to efficiently support the scale, complexity and ambition of these projects. Simultaneously, project data is being captured at growing rates. We continue to capture more data on a project than ever before. Total data captured back in 2009 in the construction industry reached over 51 petabytes, or 51 million gigabytes (Mckinsey 2016). It is becoming increasingly necessary to develop new ways to leverage our project data to better manage the complexity on our projects and allow the many stakeholders to make better more informed decisions. This paper focuses on utilizing advances in data mining, data analytics and data visualization as means to extract project information from massive datasets in a timely fashion to assist in making key informed decisions for project delivery. As part of this paper, we present an innovative new use of these technologies as applied to a large-scale infrastructural megaproject, to deliver a set of over 4,000 construction documents in a six-month period that has the potential to dramatically transform our industry and the way we deliver projects in the future. This paper describes a framework used to measure production performance as part of any project’s set of project controls for accelerated project delivery.
keywords	design methods; information processing; data mining; big data; data visualization
series	ACADIA
email
last changed	2022/06/07 07:55

_id	caadria2017_115
id	caadria2017_115
authors	Araullo, Rebekah and Haeusler, M. Hank
year	2017
title	Asymmetrical Double-Notch Connection System in Planar Reciprocal Frame Structures
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. 539-548
doi	https://doi.org/10.52842/conf.caadria.2017.539
summary	Reciprocal Frame Structures (RF) have broad application potentials. Flexible to using small available materials, they span large areas, including varied curvature and doubly-curved forms. Although not many buildings using RF have been constructed to date, records indicate RF efficiencies where timber was widely used in structures predating modern construction. For reasons of adaptability and economy, advances in computation and fabrication precipitated increase in research into RF structures as a contemporary architectural typology. One can observe that linear timber such as rods and bars feature in extensive RF research. However, interest in planar RF has only recently emerged in research. Hence one can argue that planar RF provides depth to explore new design possibilities. This paper contributes to the growing knowledge of planar RF by presenting a design project that demonstrates an approach in notching systems to explore design and structural performance. The design project, the developed design workflow, fabrication, assembly and evaluation are discussed in this paper.
keywords	Reciprocal Frame Structures; Space Frames; Computational Design; Digital Fabrication; Deployable Architecture
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaade2021_203
id	ecaade2021_203
authors	Arora, Hardik, Bielski, Jessica, Eisenstadt, Viktor, Langenhan, Christoph, Ziegler, Christoph, Althoff, Klaus-Dieter and Dengel, Andreas
year	2021
title	Consistency Checker - An automatic constraint-based evaluator for housing spatial configurations
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. 351-358
doi	https://doi.org/10.52842/conf.ecaade.2021.2.351
summary	The gradual rise of artificial intelligence (AI) and its increasing visibility among many research disciplines affected Computer-Aided Architectural Design (CAAD). Architectural deep learning (DL) approaches are being developed and published on a regular basis, such as retrieval (Sharma et al. 2017) or design style manipulation (Newton 2019; Silvestre et al. 2016). However, there seems to be no method to evaluate highly constrained spatial configurations for specific architectural domains (such as housing or office buildings) based on basic architectural principles and everyday practices. This paper introduces an automatic constraint-based consistency checker to evaluate the coherency of semantic spatial configurations of housing construction using a small set of design principles to evaluate our DL approaches. The consistency checker informs about the overall performance of a spatial configuration followed by whether it is open/closed and the constraints it didn't satisfy. This paper deals with the relation of spaces processed as mathematically formalized graphs contrary to existing model checking software like Solibri.
keywords	model checking, building information modeling, deep learning, data quality
series	eCAADe
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last changed	2022/06/07 07:54

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