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	caadria2019_283
id	caadria2019_283
authors	Rosenberg, Daniel and Tsamis, Alexandros
year	2019
title	Human-Building Collaboration - A Pedagogical Framework for Smart Building Design
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. 171-180
doi	https://doi.org/10.52842/conf.caadria.2019.2.171
summary	We introduce Human-Building Collaboration (HBC), a pedagogical framework for the design of next-generation smart buildings in architecture. Using the framework's philosophy, model, and tools we show designers how to enhance smart building performance by increasing and diversifying the ways humans have to share their intelligence with that of the building. We apply this framework through design exercises and present the result of two projects: (1) a tangible wall interface for lighting co-optimization and (2) a shape display facade interface for rainwater purification and reuse. Preliminary findings demonstrate that the framework helped designers proposing new means for humans to collaborate with smart buildings.
keywords	Smart Buildings; Artificial Intelligence ; Tangible Interfaces; Human-Building Interaction ; User Experience Design
series	CAADRIA
email
last changed	2022/06/07 07:56

_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
email
last changed	2024/03/08 14:09

_id	acadia19_168
id	acadia19_168
authors	Adilenidou, Yota; Ahmed, Zeeshan Yunus; Freek, Bos; Colletti, Marjan
year	2019
title	Unprintable Forms
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.168-177
doi	https://doi.org/10.52842/conf.acadia.2019.168
summary	This paper presents a 3D Concrete Printing (3DCP) experiment at the full scale of virtualarchitectural bodies developed through a computational technique based on the use of Cellular Automata (CA). The theoretical concept behind this technique is the decoding of errors in form generation and the invention of a process that would recreate the errors as a response to optimization (Adilenidou 2015). The generative design process established a family of structural and formal elements whose proliferation is guided through sets of differential grids (multi-grids) leading to the build-up of large span structures and edifices, for example, a cathedral. This tooling system is capable of producing, with specific inputs, a large number of outcomes in different scales. However, the resulting virtual surfaces could be considered as "unprintable" either due to their need of extra support or due to the presence of many cavities in the surface topology. The above characteristics could be categorized as errors, malfunctions, or undesired details in the geometry of a form that would need to be eliminated to prepare it for printing. This research project attempts to transform these "fabrication imprecisions" through new 3DCP techniques into factors of robustness of the resulting structure. The process includes the elimination of the detail / "errors" of the surface and their later reinsertion as structural folds that would strengthen the assembly. Through this process, the tangible outputs achieved fulfill design and functional requirements without compromising their structural integrity due to the manufacturing constraints.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:54

_id	acadia19_258
id	acadia19_258
authors	Bar-Sinai, Karen Lee; Shaked, Tom; Sprecher, Aaron
year	2019
title	Informing Grounds
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. 258-265
doi	https://doi.org/10.52842/conf.acadia.2019.258
summary	Advancements in robotic fabrication are enabling on-site construction in increasingly larger scales. In this paper, we argue that as autonomous tools encounter the territorial scale, they open new ways to embed information into it. To define the new practice, this paper introduces a protocol combining a theoretical framework and an iterative process titled Informing Grounds. This protocol mediates and supports the exchange of knowledge between a digital and a physical environment and is applicable to a variety of materials with uncertain characteristics in a robotic manufacturing scenario. The process is applied on soil and demonstrated through a recent design-to-fabrication workshop that focused on simulating digital groundscaping of distant lunar grounds employing robotic sand-forming. The first stage is ‘sampling’—observing the physical domain both as an initial step as well as a step between the forming cycles to update the virtual model. The second stage is ‘streaming’—the generation of information derived from the digital model and its projection onto the physical realm. The third stage is ‘transforming’—the shaping of the sand medium through a physical gesture. The workshop outcomes serve as the basis for discussion regarding the challenges posed by applying autonomous robotic tools on materials with uncertain behavior at a large-scale.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:54

_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	caadria2019_491
id	caadria2019_491
authors	Cai, Chenyi, Tang, Peng and Li, Biao
year	2019
title	Intelligent Generation of Architectural layout inheriting spatial features of Chinese Garden Based on Prototype and Multi-agent System - A Case Study on Lotus Teahouse in Yixing
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. 291-300
doi	https://doi.org/10.52842/conf.caadria.2019.1.291
summary	This study presents an approach for the intelligent generation of architectural layout, in which partial space inherits Chinese garden spatial features. The approach combines spatial prototype analysis and evolutionary optimization process. On one hand, from the perspective of shape grammar, this paper both analyzes and abstracts the spatial prototype that describes the spatial characteristics of Chinese gardens, including the organization system of architecture and landscape, with the spatial sequences along the tourism orientation. On the other hand, taking the design task of Lotus teahouse as an example, a typical spatial prototype is selected to develop the generative intelligent experiment to achieve the architectural layout, in which the spatial prototype is inherited. Through rule-making and parameter adjustment, the spatial prototype will eventually be transformed into a computational model based on the multi-agent system. Hence, the experiment of intelligent generation of architectural layout is carried out under the influence of the function, form and environmental factors; and a three-dimensional conceptual model that inherits the Chinese garden spatial prototype is obtained ultimately.
keywords	Chinese garden; Architectural layout; Spatial prototype; Multi-agent system; Intelligent generation
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_648
id	ecaadesigradi2019_648
authors	Eisenstadt, Viktor, Langenhan, Christoph and Althoff, Klaus-Dieter
year	2019
title	Generation of Floor Plan Variations with Convolutional Neural Networks and Case-based Reasoning - An approach for transformative adaptation of room configurations within a framework for support of early conceptual design phases
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. 79-84
doi	https://doi.org/10.52842/conf.ecaade.2019.2.079
summary	We present an approach for computer-aided generation of different variations of floor plans during the early phases of conceptual design in architecture. The early design phases are mostly characterized by the processes of inspiration gaining and search for contextual help in order to improve the building design at hand. The generation method described in this work uses the novel as well as established artificial intelligence methods, namely, generative adversarial nets and case-based reasoning, for creation of possible evolutions of the current design based on the most similar previous designs. The main goal of this approach is to provide the designer with information on how the current floor plan can evolve over time in order to influence the direction of the design process. The work described in this paper is part of the methodology FLEA (Find, Learn, Explain, Adapt) whose task is to provide a holistic structure for support of the early conceptual phases in architecture. The approach is implemented as the adaptation component of the framework MetisCBR that is based on FLEA.
keywords	room configuration; adaptation; case-based reasoning; convolutional neural networks; conceptual design
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	cf2019_005
id	cf2019_005
authors	Eisenstadt, Viktor; Klaus-Dieter Althoff and Christoph Langenhan
year	2019
title	Supporting Architectural Design Process with FLEA A Distributed AI Methodology for Retrieval, Suggestion, Adaptation, and Explanation of Room Conﬁgurations
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 24
summary	The artiﬁcial intelligence methods, such as case-based reasoning and artiﬁcial neural networks were already applied to the task of architectural design support in a multitude of speciﬁc approaches and tools. However, modern AI trends, such as Explainable AI (XAI), and additional features, such as providing contextual suggestions for the next step of the design process, were rarely considered an integral part of these approaches or simply not available. In this paper, we present an application of a distributed AI-based methodology FLEA (Find, Learn, Explain, Adapt) to the task of room conﬁguration during the early conceptual phases of architectural design. The implementation of the methodology in the framework MetisCBR applies CBR-based methods for retrieval of similar ﬂoor plans to suggest possibly inspirational designs and to explain the returned results with speciﬁc explanation patterns. Furthermore, it makes use of a farm of recurrent neural networks to suggest contextually suitable next conﬁguration steps and to present design variations that show how the designs may evolve in the future. The ﬂexibility of FLEA allows for variational use of its components in order to activate the currently required modules only. The methodology was initialized during the basic research project Metis (funded by German Research Foundation) during which the architectural semantic search patterns and a family of corresponding ﬂoor plan representations were developed. FLEA uses these patterns and representations as the base for its semantic search, explanation, next step suggestion, and adaptation components. The methodology implementation was iteratively tested during quantitative evaluations and user studies with multiple ﬂoor plan datasets.
keywords	Room con?guration, Distributed AI, Case-based reasoning, Neural networks, Explainable AI
series	CAAD Futures
type	normal paper
email
last changed	2019/07/29 14:11

_id	cf2019_056
id	cf2019_056
authors	Erdine, Elif ; Asli Aydin, Cemal Koray Bingol, Gamze Gunduz, Alvaro Lopez Rodriguez and Milad Showkatbakhsh
year	2019
title	Robot-Aided Fabrication of Materially Efficient Complex Concrete Assemblies
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 454-472
summary	This paper presents a novel approach for the materially efficient production of doubly-curved Expanded Polystyrene (EPS) form-work for insitu concrete construction and a novel application of a patented Glass Reinforced Concrete (GRC) technology. Research objectives focus on the development of complex form-work generation and concrete application via advanced computational and robotic methods. While it is viable to produce form-work with complex geometries with advanced digital and robotic fabrication tools, a key consideration area is the reduction of form-work waste material. The research agenda explores methods of associating architectural, spatial, and structural criteria with a material-informed holistic approach. The digital and physical investigations are founded on Robotic Hot-Wire Cutting (RHWC). The geometrical and physical principles of RHWC are transformed into design inputs, whereby digital and physical tests inform each other simultaneously. Correlations are set between form-work waste optimization with the geometrical freedom and constraints of hot-wire cutting via computational methods.
keywords	Robotic fabrication, Robotic hot-wire cutting (RHWC), Glassreinforced concrete (GRC), Waste optimization, EPS form-work
series	CAAD Futures
email
last changed	2019/07/29 14:18

_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
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
doi	https://doi.org/10.52842/conf.ecaade.2019.1.463
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	ecaadesigradi2019_488
id	ecaadesigradi2019_488
authors	Naboni, Roberto and Kunic, Anja
year	2019
title	A computational framework for the design and robotic manufacturing of complex wood structures
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. 189-196
doi	https://doi.org/10.52842/conf.ecaade.2019.3.189
summary	The emerging paradigm of Industry 4.0 is rapidly expanding in the AEC sector, where emergent technologies are offering new possibilities. The use of collaborative robots is enabling processes of advanced fabrication, where humans and robots coexist and collaborate towards the co-creation of new building processes. This paper focuses on setting a conceptual framework and a computational workflow for the design and assembly of a novel type of engineered wood structures. The aim is advancing timber construction through complex tectonic configurations, which are informed by logics of robotic assembly, topology and material optimization, and combinatorial design. Starting from the conceptualization of robotic layered manufacturing for timber structures, this work presents the development of a digital twin applied to the voxel-based design of complex timber structures.
keywords	Digital Materials; Robotic Assembly; Wood structures; Voxel-based design; Topology Optimization
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:59

_id	ijac201917302
id	ijac201917302
authors	Nisztuk, Maciej and Pawel B. Myszkowski
year	2019
title	Hybrid Evolutionary Algorithm applied to Automated Floor Plan Generation 260
source	International Journal of Architectural Computing vol. 17 - no. 3, 260-283
summary	The article presents the application of Hybrid Evolutionary and Greedy-based algorithms to the problem of Automated Floor Plan Generation. The described optimization issue is part of a wider domain of Computer-Aided Architectural Design. The article covers the extensive description of the representation domain model (architectural canonical guidelines, user design requirements and constraints) and the explanation of proposed approach: problem representation, genetic algorithm operators, and fitness function definition. The research experimental procedures are based on real-world data: the architectural design guidelines being the design constraints and five real-world functional programs introduced and proposed as benchmarks. The article summarizes the implementation of the proposed approach, compares the Hybrid Evolutionary Algorithm experimental results with the Greedy-based algorithm, and suggests possible extensions and future research directions.
keywords	Computer-Aided Architectural Design, optimization in CAAD, Automated Floor Plan Generation, Hybrid Evolutionary Algorithm, optimization, benchmark
series	journal
email
last changed	2020/11/02 13:34

_id	ecaadesigradi2019_233
id	ecaadesigradi2019_233
authors	Noronha Pinto de Oliveira e Sousa, Marcela, Duarte, Jose and Celani, Gabriela
year	2019
title	Urban Street Retrofitting - An Application Study on Bottom-Up Design
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. 287-296
doi	https://doi.org/10.52842/conf.ecaade.2019.3.287
summary	Urban streets will have to be retrofitted to improve walkability and to provide space for a diversity of transport modes. This paper introduces a framework which combines space syntax and shape grammars in a design support method for generating scenarios for urban street retrofitting. A procedure to hierarchize streets and select priority locations for urban street retrofitting is presented. Four different angular choice analyses with decreasing radii are used to derive the hierarchical structure of target urban areas with the aim of triggering shape grammar rules and generating bottom-up intervention designs. The same measure using a local radius to represent walking modal is then used to determine which streets should be retrofitted to improve pedestrian safety and walkability for the largest number of people. An application study using this procedure is presented and results are compared to street hierarchies from two different sources. This study is the first step towards automating the generation of design scenarios for urban street retrofitting.
keywords	Space Syntax; Street Hierarchy; Parametric Urbanism; Scenario Modeling; Travel Behavior
series	eCAADeSIGraDi
email
last changed	2022/06/07 08:00

_id	ecaadesigradi2019_456
id	ecaadesigradi2019_456
authors	Pereira, In?s, Belém, Catarina and Leit?o, António
year	2019
title	Optimizing Exhibition Spaces - A Multi-Objective Approach
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. 53-62
doi	https://doi.org/10.52842/conf.ecaade.2019.3.053
summary	Nowadays, there is a widespread awareness towards environmental issues. This is already visible in architecture by the increasing number of analysis tools that evaluate different performance criteria. However, the application of these tools is usually restricted to the final design stages, conditioning the implementation of design changes. Performance-Based Design (PBD) is an approach that addresses this limitation. Through PBD, architects integrate analysis tools since early design stages to make informed decisions regarding the performance of their designs. Since the success of PBD highly depends on the number of evaluations that can be performed, these approaches usually end up benefiting from Parametric Models (PMs), which facilitate the generation of a wide range of design variations, by simply changing the values of the parameters. Furthermore, in order to more efficiently achieve a PBD approach, architects can take advantage of the combination between PMs, analysis tools, and optimization processes. In this paper, we explore this combination to optimize an exhibition space regarding its daylight performance and the material cost of the new elements intended for that space.
keywords	Environmental Design; Algorithmic Design and Analysis; Performance-Based Design; Multi-Objective Optimization; Daylight Optimization
series	eCAADeSIGraDi
email
last changed	2022/06/07 08:00

_id	ecaadesigradi2019_088
id	ecaadesigradi2019_088
authors	Sardenberg, Victor, Burger, Theron and Becker, Mirco
year	2019
title	Aesthetic Quantification as Search Criteria in Architectural Design - Archinder
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. 17-24
doi	https://doi.org/10.52842/conf.ecaade.2019.1.017
summary	The paper describes a research experiment of incorporating quantitative aesthetic evaluation and feeding the metric back into a parametric model to steer the search within the design space for a high-ranking design solution. The experiment is part of a longer-standing interest and research in quantitative aesthetics. A web platform inspired by dating apps was developed to retrieve an aesthetic score of images (drawings and photographs of architectural projects). The app and scoring system was tested for functionality against an existing dataset of aesthetic measure (triangles, polygon nets). In the actual experiment, an evolutionary algorithm generated images of design candidates (phenotypes) and used the aesthetic score retrieved by the "crowd" of app users as a fitness function for the next generation/population. The research is in the tradition of empirical aesthetics of G. T. Fechner (Fechner, 1876), using a web app to crowdsource aesthetic scores and using these to evolve design candidates. The paper describes how the system is set up and presents its results in four distinct exercises.
keywords	Quantitative Aesthetics; Social Media; Crowdsourcing; Collaborative Design; Human-Computer interaction
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:57

_id	cf2019_012
id	cf2019_012
authors	Su, Zhouzhou
year	2019
title	Optimizing Spatial Adjacency in Hospital Master Planning
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 101
summary	Hospitals are one of the most complex building types. Each is comprised of a wide range of service areas and functional spaces. Spatial relationships comprise one of the most critical design criteria, to be considered early-on in the master planning stage. Proper adjacency contributes to shorter travel distances, better wayfinding, improved patient care, higher satisfaction, and reduced overall cost. However, there is a lack of research on the automatic generation of design solutions that can be applied to real-world hospital master planning projects. Moreover, given the complexity of hospital design, an optimization tool is needed that is capable of evaluating both machine- and human-generated solutions. This study proposes a rating system for evaluating existing plans and proposed designs in hospital master planning, and explores optimal design solutions through rapid computational simulations. The first stage of this work presents interviews with senior professionals in the industry to explore best practices regarding spatial relationships in hospital planning. The second stage describes an automatic analysis tool for ranking the design options generated by healthcare planners and examining optimal design solutions that feature the best spatial adjacencies. This tool was employed in a recent master planning project with over fifty programming spaces, in order to test its validity.
keywords	Optimization, Spatial Adjacency, Hospital Master Planning
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	ecaadesigradi2019_409
id	ecaadesigradi2019_409
authors	Ulkucu, Yigitcan and Alacam, Sema
year	2019
title	A Decision Support Framework for FLP in the Context of Industrial Facilities by the Use of BIM
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. 269-278
doi	https://doi.org/10.52842/conf.ecaade.2019.2.269
summary	In today's industrial production environment, an effective solution to the FLP (Facility Layout Problem) plays a significant role in deciding whether a facility will hold a competitive advantage against others by its improved workflow. This advantage comes from an efficient placement of facilities, which mostly contributes to the overall business performance. In addition to that, regarding the need to answer the demands of the dynamic market, facilities need to adapt their processes and adapt their production line as quickly as possible. Therefore, a continuous search for a solution to the FLP is present. Although there are many space allocation programs available both as academic and commercial products, present approaches' availability in the BIM environment is not common yet. This paper introduces a decision support system framework which uses Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) to generate the most appropriate solution in Revit Dynamo environment both in the earlier phases of design and through the life-cycle of the facility. The proposed framework will specifically be responsible for generating solutions for equipment location in serial production facilities. As NSGA-II is a Multi-Objective Evolutionary Algorithm (MOEA), a second optimization criterion is defined as the optimization of the foreman's locations distributed on the shop floor. A Dynamo package named Refinery will hold the optimization and evaluation procedures.
keywords	Facility Layout Problems; NSGA-II; Automated Space Layout
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:57

_id	ecaadesigradi2019_265
id	ecaadesigradi2019_265
authors	Vegas, Gonzalo, Bernal, Marcelo and Calvo, Francisco
year	2019
title	Multi-Criteria Agent Based Systems - Generation of circulations through local decisions
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. 121-130
doi	https://doi.org/10.52842/conf.ecaade.2019.2.121
summary	This study explores to what extent Agent Based Systems (ABS) can handle multi-criteria optimization problems. The implementation of ABS in the field of optimization has limitations to address multiple criteria in a continuous generation process due to ABS usually merge the perceived information in a single response. To address this limitation, we increase the responsiveness of the systems through a multiple production approach. This approach breaks down the problem into two parts: the configuration through the interactions of the agents, and the overall performance through their local decisions. The method is tested in a case study of the network circulations of a park, optimizing the slope, views and sun. Performance and differentiation capabilities are evaluated in populations generated in two different scenarios. Data analysis methods verify the effectiveness of the algorithm and quantify the influence of each parameter on the final results.
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	caadria2019_659
id	caadria2019_659
authors	Wang, Xiang, Guo, Zhe, Zhang, Xiao, Jin, Jinxi and Yuan, Philip F.
year	2019
title	Design, Analysis and Robotic Fabrication of a Bending-Active Shell Structure with Thin Sheets Based on Curved-Crease-Folding Technique
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. 63-72
doi	https://doi.org/10.52842/conf.caadria.2019.1.063
summary	This paper shows a design and building application of an innovative structure concept which is developed by the authors. The long-span shell structure (8m10m2.5m) built with 1.5mm thin aluminum sheets demonstrates the possibility to apply bending-active structures with flexible thin sheet material in shell structures to enhance the global and local stiffness. The structure is mainly originated from the curved-crease-folding technique which enhances the structural stiffness by introducing curvature to the surfaces. The Y-shape structural elements define the basic geometrical rules and find its global double-curved geometry via the folding of the three lateral ribs. The full-scale prototype and its design and fabrication techniques show a design framework of the structure from its form-finding, surface optimization, robotic simulated fabrication to the final full-scale assembly. As a pioneer pavilion in a research workshop, students' design with diverse forms also show the widely possible application of this structural concept.
keywords	shell structure; thin aluminum sheets; bending-active; robotic creased-folding
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2019_170
id	caadria2019_170
authors	Wu, Yi-Sin and Chang, Teng-Wen
year	2019
title	Communication Framework AND Emojis-Danmaku Applied To Cooperation Workshops
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. 91-100
doi	https://doi.org/10.52842/conf.caadria.2019.2.091
summary	When different fields work together, like the designers and engineers, many problems may arise. The interaction and communication between team members are important factors that affect success. This study proposes a service design: The Emojis-Danmaku framework as a communication medium to assist planners and participants in inter-disciplinary cooperation and optimization of the workshop processes.
keywords	Interdisciplinary collaboration; Communication; Emoji; Danmaku; Communication framework
series	CAADRIA
email
last changed	2022/06/07 07:57

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