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	ecaade2023_259
id	ecaade2023_259
authors	Sonne-Frederiksen, Povl Filip, Larsen, Niels Martin and Buthke, Jan
year	2023
title	Point Cloud Segmentation for Building Reuse - Construction of digital twins in early phase building reuse projects
doi	https://doi.org/10.52842/conf.ecaade.2023.2.327
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 327–336
summary	Point cloud processing has come a long way in the past years. Advances in computer vision (CV) and machine learning (ML) have enabled its automated recognition and processing. However, few of those developments have made it through to the Architecture, Engineering and Construction (AEC) industry. Here, optimizing those workflows can reduce time spent on early-phase projects, which otherwise could be spent on developing innovative design solutions. Simplifying the processing of building point cloud scans makes it more accessible and therefore, usable for design, planning and decision-making. Furthermore, automated processing can also ensure that point clouds are processed consistently and accurately, reducing the potential for human error. This work is part of a larger effort to optimize early-phase design processes to promote the reuse of vacant buildings. It focuses on technical solutions to automate the reconstruction of point clouds into a digital twin as a simplified solid 3D element model. In this paper, various ML approaches, among others KPConv Thomas et al. (2019), ShapeConv Cao et al. (2021) and Mask-RCNN He et al. (2017), are compared in their ability to apply semantic as well as instance segmentation to point clouds. Further it relies on the S3DIS Armeni et al. (2017), NYU v2 Silberman et al. (2012) and Matterport Ramakrishnan et al. (2021) data sets for training. Here, the authors aim to establish a workflow that reduces the effort for users to process their point clouds and obtain object-based models. The findings of this research show that although pure point cloud-based ML models enable a greater degree of flexibility, they incur a high computational cost. We found, that using RGB-D images for classifications and segmentation simplifies the complexity of the ML model but leads to additional requirements for the data set. These can be mitigated in the initial process of capturing the building or by extracting the depth data from the point cloud.
keywords	Point Clouds, Machine Learning, Segmentation, Reuse, Digital Twins
series	eCAADe
email
last changed	2023/12/10 10:49

_id	caadria2017_002
id	caadria2017_002
authors	Haeusler, M. Hank, Muehlbauer, Manuel, Bohnenberger, Sascha and Burry, Jane
year	2017
title	Furniture Design Using Custom-Optimised Structural Nodes
doi	https://doi.org/10.52842/conf.caadria.2017.841
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. 841-850
summary	Additive manufacturing techniques and materials have evolved rapidly during the last decade. Applications in architecture, engineering and construction are getting more attention as 3D printing is trying to find its place in the industry. Due to high material prices for metal 3d printing and in-homogenous material behaviour in printed plastic, 3D printing has not yet had a very significant impact at the scale of buildings. Limitations on scale, cost, and structural performance have also hindered the advancement of the technology and research up to this point. The research presented here takes a case study for the application of 3D printing at a furniture scale based on a novel custom optimisation approach for structural nodes. Through the concentration of non-standard geometry on the highly complex custom optimised nodes, 3D printers at industrial product scale could be used for the additive manufacture of the structural nodes. This research presents a design strategy with a digital process chain using parametric modeling, virtual prototyping, structural simulation, custom optimisation and additive CAD/CAM for a digital workflow from design to production. Consequently, the digital process chain for the development of structural nodes was closed in a holistic manner at a suitable scale.
keywords	Digital fabrication; node optimisation; structural performance; 3D printing; carbon fibre.
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	ecaade2023_44
id	ecaade2023_44
authors	Mayrhofer-Hufnagl, Ingrid and Ennemoser, Benjamin
year	2023
title	From Linear to Manifold Interpolation: Exemplifying the paradigm shift through interpolation
doi	https://doi.org/10.52842/conf.ecaade.2023.2.419
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 419–429
summary	The advent of artificial intelligence, specifically neural networks, has marked a significant turning point in the field of computation. During such transformative times, we are often faced with a dearth of appropriate vocabulary, which forces us to rely on existing terms, regardless of their inadequacy. This paper argues that the term “interpolation,” typically used in deep learning (DL), is a prime example of this phenomenon. It is not uncommon for beginners to misunderstand its meaning, as DL pioneer Francois Chollet (2017) has noted. This misreading is especially true in the discipline of architecture, and this study aims to demonstrate how the meaning of “interpolation” has evolved in the second digital turn. We begin by illustrating, using 2D data, the difference between linear interpolation in the context of topological figures and its use in DL algorithms. We then demonstrate how 3DGANs can be employed to interpolate across different topologies in complex 3D space, highlighting the distinction between linear and manifold interpolation. In both 2D and 3D examples, our results indicate that the process does not involve continuous morphing but instead resembles the piecing together of a jigsaw puzzle to form many parts of a larger ambient space. Our study reveals how previous architectural research on DL has employed the term “interpolation” without clarifying the crucial differences from its use in the first digital turn. We demonstrate the new possibilities that manifold interpolation offers for architecture, which extend well beyond parametric variations of the same topology.
keywords	Interpolation, 3D Generative Adversarial Networks, Deep Learning, Hybrid Space
series	eCAADe
email
last changed	2023/12/10 10:49

_id	acadia17_474
id	acadia17_474
authors	Peng, Wenzhe; Zhang, Fan; Nagakura, Takehiko
year	2017
title	Machines’ Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification
doi	https://doi.org/10.52842/conf.acadia.2017.474
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. 474- 481
summary	Simple and common architectural elements can be combined to create complex spaces. Different spatial compositions of elements define different spatial boundaries, and each produces a unique local spatial experience to observers inside the space. Therefore an architectural style brings about a distinct spatial experience. While multiple representation methods are practiced in the field of architecture, there lacks a compelling way to capture and identify spatial experiences. Describing an observer’s spatial experiences quantitatively and efficiently is a challenge. In this paper, we propose a method that employs 3D isovist methods and a convolutional neural network (CNN) to achieve recognition of local spatial compositions. The case studies conducted validate that this methodology works well in capturing and identifying local spatial conditions, illustrates the pattern and frequency of their appearance in designs, and indicates peculiar spatial experiences embedded in an architectural style. The case study used small designs by Mies van der Rohe and Aldo van Eyck. The contribution of this paper is threefold. First, it introduces a sampling method based on 3D Isovist that generates a 2D image that can be used to represent a 3D space from a specific observation point. Second, it employs a CNN model to extract features from the sampled images, then classifies their corresponding space. Third, it demonstrates a few case studies where this space classification method is applied to different architectural styles.
keywords	design methods; information processing; AI; machine learning; computer vision; representation
series	ACADIA
email
last changed	2022/06/07 08:00

_id	ecaade2017_003
id	ecaade2017_003
authors	Yu, Kuai, Haeusler, M. Hank and Fabbri, Alessandra
year	2017
title	Parametric master planning via topological analysis using GIS data
doi	https://doi.org/10.52842/conf.ecaade.2017.1.429
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. 429-438
summary	This paper discusses parametricism in regards to urban planning and infrastructure. The objective is to bridge GIS data (using FLUX) and the parametric design process together into urban master planning. Creating a tool which generates the infrastructure and grid system automatically using specified manual user inputs, allowing for further generation of 3D forms from the block patterns. It also critically analyses the traditional master planning approach of grid system division in regards to topography, and how classical urban designers did not consider topographical constraints when a square grid system was employed to structure a city. The analysis of existing parametric master plans will also show that data driven planning has not put topography as a significant hierarchical. Through case studies using the developed tool, a clearer understanding of how topography can shape infrastructure can be understood. The analysis of topography is the main driving data iteration point which generates the infrastructure, grid, and division systems.
keywords	Master Plan; Parametricism; Urban Design; GIS Data; Topography Optimisation; FLUX
series	eCAADe
email
last changed	2022/06/07 07:57

_id	acadia17_446
id	acadia17_446
authors	Nejur, Andrei; Steinfeld, Kyle
year	2017
title	Ivy: Progress in Developing Practical Applications for a Weighted-Mesh Representation for Use in Generative Architectural Design
doi	https://doi.org/10.52842/conf.acadia.2017.446
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. 446- 455
summary	This paper presents progress in the development of practical applications for graph representations of meshes for a variety of problems relevant to generative architectural design (GAD). In previous work (Nejur and Steinfeld 2016), the authors demonstrated that while approaches to marrying mesh and graph representations drawn from computer graphics (CG) can be effective within the domains of applications for which they have been developed, they have not adequately addressed wider classes of problems in GAD. There, the authors asserted that a generalized framework for working with graph representations of meshes can effectively bring recent advances in mesh segmentation to bear on GAD problems, a utility demonstrated through the development of a plug-in for the visual programming environment Grasshopper. Here, we describe a number of implemented solutions to mesh segmentation and transformation problems, articulated as a series of additional features developed as a part of this same software. Included are problems of mesh segmentation approached through the creation of acyclic connected graphs (trees); problems of mesh transformations, such as those that unfold a segmented mesh in anticipation of fabrication; and problems of geometry generation in relation to a segmented mesh, as demonstrated through a generalized approach to mesh weaving. We present these features in the context of their potential applications in GAD and provide a limited set of examples for their use.
keywords	design methods; information processing
series	ACADIA
email
last changed	2022/06/07 07:58

_id	acadia17_670
id	acadia17_670
authors	Zwierzycki, Mateusz; Vestartas, Petras; Heinrich, Mary Katherine; Ayres, Phil
year	2017
title	High Resolution Representation and Simulation of Braiding Patterns
doi	https://doi.org/10.52842/conf.acadia.2017.670
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. 670- 679
summary	From the hand-crafted to the highly engineered, braided structures have demonstrated broad versatility across scales, materials, and performance types, leading to their use in a plethora of application domains. Despite this prevalence, braided structures have seen little exploration within a contemporary architectural context. Within the flora robotica project, complex braided structures are a core element of the architectural vision, driving a need for generalized braid design modeling tools that can support fabrication. Due to limited availability of existing suitable tools, this interest motivates the development of a digital toolset for design exploration. In this paper, we present our underlying methods of braid topology representation and physics-based simulation for hollow tubular braids. We contextualize our approach in the literature where existing methods for this class of problem are not directly suited to our application, but offer important foundations. Generally, the tile generation method we employ is an already known approach, but we meaningfully extend it to increase the flexibility and scope of topologies able to be modeled. Our methods support design workflows with both predetermined target geometries and generative, adaptive inputs. This provides a high degree of design agency by supporting real-time exploration and modification of topologies. We address some common physical simulation problems, mainly the overshooting problem and collision detection optimization, for which we develop dynamic simulation constraints. This enables unrolling into realistically straight strips, our key fabrication-oriented contribution. We conclude by outlining further work, specifically the design and realization of physical braids, fabricated robotically or by hand.
keywords	design methods; information processing; fabrication; digital craft; manual craft; representation
series	ACADIA
email
last changed	2022/06/07 07:57

_id	acadia17_72
id	acadia17_72
authors	Alfaiate, Pedro; Caetano, In?s; Leit?o, António
year	2017
title	Luna Moth: Supporting Creativity in the Cloud
doi	https://doi.org/10.52842/conf.acadia.2017.072
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. 72-81
summary	Algorithmic design allows architects to design using a programming-based approach. Current algorithmic design environments are based on existing computer-aided design applications or building information modeling applications, such as AutoCAD, Rhinoceros 3D, or Revit, which, due to their complexity, fail to give architects the immediate feedback they need to explore algorithmic design. In addition, they do not address the current trend of moving applications to the cloud to improve their availability. To address these problems, we propose a software architecture for an algorithmic design integrated development environment (IDE), based on web technologies, that is more interactive than competing algorithmic design IDEs. Besides providing an intuitive editing interface which facilitates programming tasks for architects, its performance can be an order of magnitude faster than current algorithmic design IDEs, thus supporting real-time feedback with more complex algorithmic design programs. Moreover, our solution also allows architects to export the generated model to their preferred computer-aided design applications. This results in an algorithmic design environment that is accessible from any computer, while offering an interactive editing environment that integrates into the architect’s workflow.
keywords	design methods; information processing; generative system; computational / artistic cultures
series	ACADIA
email
last changed	2022/06/07 07:54

_id	ecaade2017_208
id	ecaade2017_208
authors	Beaudry Marchand, Emmanuel, Han, Xueying and Dorta, Tomás
year	2017
title	Immersive retrospection by video-photogrammetry - UX assessment tool of interactions in museums, a case study
doi	https://doi.org/10.52842/conf.ecaade.2017.2.729
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 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 729-738
summary	Studying interactions in museums often omits to consider the complexity of the space and the visitors' behaviors. Visitors' walking paths do not provide enough insight of their user experience (UX) since they are distant from the experiential realities. Videogrammetry can convey such dimensions of an environmental experience. Because of limitations of real-time playback, a twofold approach is suggested: "immersive videos" combined with "photogrammetric models". A granular optimal experience assessment method using retrospection interviews is also applied providing a finer evaluation of the perceived experience through time. This method permits to characterize museum interactive installations, according to the perceived challenges and skills of the interaction's task, based this time on immersive retrospection. This paper proposes the "Immersive retrospection" by "Immersive video-photogrammetry" as a UX assessment tool of interactions in museums. A hybrid virtual environment was used in this study, allowing social VR without the use of headsets, through a life-sized projection of interactive 3D content. The study showed that Immersive video-photogrammetry facilitates the recall of memories and allows a deepened self-observation analysis.
keywords	immersive retrospection; photogrammetry; videogrammetry; UX assessment; museum environments
series	eCAADe
email
last changed	2022/06/07 07:54

_id	caadria2017_055
id	caadria2017_055
authors	Caetano, In?s and Leit?o, António
year	2017
title	Integration of an Algorithmic BIM Approach in a Traditional Architecture Studio
doi	https://doi.org/10.52842/conf.caadria.2017.633
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. 633-642
summary	Algorithmic BIM combines BIM and Generative Design (GD), merging the potentialities of both approaches. In this paper we describe the design process of a set of parametric facades developed using Algorithmic-BIM, and how this approach was integrated into the design workflow of two architectural studios. We demonstrate how the integration of GD together with BIM influenced the whole design process and also the selection of the final solution. Some of the limitations found during the entire process are also addressed in the paper, such as tight deadlines and financial constraints. Finally, we explain the pros and cons of using this design method compared to a traditional BIM approach, and we discuss the implementation of this paradigm in a traditional design practice. This work was developed using Rosetta, an IDE for Generative Design that supports scripts using different programming languages and allows the generation and edition of 3D models in a variety of CAD and BIM applications. The result of this work is an information model of three parametric facades for a residential building, from which we can extract material quantities and construction performance tests.
keywords	Generative design; collaborative design; CAD-BIM portability; parametric facade design
series	CAADRIA
email
last changed	2022/06/07 07:54

_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	ecaade2017_244
id	ecaade2017_244
authors	Chaltiel, Stephanie, Bravo, Maite and Chronis, Angelos
year	2017
title	Digital fabrication with Virtual and Augmented Reality for Monolithic Shells
doi	https://doi.org/10.52842/conf.ecaade.2017.2.211
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. 211-218
summary	The digital fabrication of monolithic shell structures is presenting some challenges related to the interface between computational design and fabrication techniques, such as the methods chosen for the suitable parametrization of the geometry based on materiality characteristics and construction constrains, the digital optimization criteria of variables, and the translation of the relevant code used for digital fabrication. Specifically, the translation from the digital to the physical when a definite materiality appears during the digital fabrication process proves to be a crucial step, which is typically approached as a linear and predetermined sequence. This often-difficult step offers the potential of embedding a certain level of interactivity between the fabricator and the materialized model during the fabrication process in order to allow for real time adjustments or corrections. This paper features monolithic shell construction processes that promote a simple interface of live interaction between the fabricator and the tool control during the digital fabrication process. The implementation of novel digital and physical methods will be explored, offering the possibility of being combined with automated fabrication actions controlled by real time inputs with virtual reality [VR] influenced by 3d scanning and 3d CAD programs, and the possibility of incorporating augmented reality [AR].
keywords	virtual reality; augmented reality; monolithic shells
series	eCAADe
email
last changed	2022/06/07 07:55

_id	acadia23_v1_166
id	acadia23_v1_166
authors	Chamorro Martin, Eduardo; Burry, Mark; Marengo, Mathilde
year	2023
title	High-performance Spatial Composite 3D Printing
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 166-171.
summary	This project explores the advantages of employing continuum material topology optimization in a 3D non-standard lattice structure through fiber additive manufacturing processes (Figure 1). Additive manufacturing (AM) has gained rapid adoption in architecture, engineering, and construction (AEC). However, existing optimization techniques often overlook the mechanical anisotropy of AM processes, resulting in suboptimal structural properties, with a focus on layer-by-layer or planar processes. Materials, processes, and techniques considering anisotropy behavior (Kwon et al. 2018) could enhance structural performance (Xie 2022). Research on 3D printing materials with high anisotropy is limited (Eichenhofer et al. 2017), but it holds potential benefits (Liu et al. 2018). Spatial lattices, such as space frames, maximize structural efficiency by enhancing flexural rigidity and load-bearing capacity using minimal material (Woods et al. 2016). From a structural design perspective, specific non-standard lattice geometries offer great potential for reducing material usage, leading to lightweight load-bearing structures (Shelton 2017). The flexibility and freedom of shape inherent to AM offers the possibility to create aggregated continuous truss-like elements with custom topologies.
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	cf2017_051
id	cf2017_051
authors	Chen, Kian Wee; Janssen, Patrick; Norford, Leslie
year	2017
title	Automatic Parameterisation of Semantic 3D City Models for Urban Design Optimisation
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. 51-65.
summary	We present an auto-parameterisation tool, implemented in Python, that takes in a semantic model, in CityGML format, and outputs a parametric model. The parametric model is then used for design optimisation of solar availability and urban ventilation potential. We demonstrate the tool by parameterising a CityGML model regarding building height, orientation and position and then integrate the parametric model into an optimisation process. For example, the tool parameterises the orientation of a design by assigning each building an orientation parameter. The parameter takes in a normalised value from an optimisation algorithm, maps the normalised value to a rotation value and rotates the buildings. The solar and ventilation performances of the rotated design is then evaluated. Based on the evaluation results, the optimisation algorithm then searches through the parameter values to achieve the optimal performances. The demonstrations show that the tool eliminates the need to set up a parametric model manually, thus making optimisation more accessible to designers.
keywords	City Information Modelling, Conceptual Urban Design, Parametric Modelling, Performance-Based Urban Design
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	cf2017_084
id	cf2017_084
authors	Chen, Kian Wee; Janssen, Patrick; Norford, Leslie
year	2017
title	Automatic Generation of Semantic 3D City Models from Conceptual Massing Models
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. 84-100.
summary	We present a workflow to automatically generate semantic 3D city models from conceptual massing models. In the workflow, the massing design is exported as a Collada file. The auto-conversion method, implemented as a Python library, identifies city objects by analysing the relationships between the geometries in the Collada file. For example, if the analysis shows that a closed poly surface satisfies certain geometrical relationships, it is automatically converted to a building. The advantage of this workflow is that no extra modelling effort is required, provided the designers are consistent in the geometrical relationships while modelling their massing design. We will demonstrate the feasibility of the workflow using three examples of increasing complexity. With the success of the demonstrations, we envision the utoconversion of massing models into semantic models will facilitate the sharing of city models between domain-specific experts and enhance communications in the urban design process.
keywords	Interoperability, GIS, City Information Modelling, Conceptual Urban Design, Collaborative Urban Design Process
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	cf2017_419
id	cf2017_419
authors	Dickey, Rachel
year	2017
title	Soft Computing in Design: Developing Automation Strategies from Material Indeterminacies
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. 419-430.
summary	Integrating concepts of soft computation into advanced manufacturing and architecture means perceiving the element of chance not as a hindrance, but as an opportunity. The projects examined in this manuscript explore opportunities for integrating material indeterminacy into advanced manufacturing by pairing a certain degree material unpredictability with the rigid order of machine control. The three projects described investigate three common categories of automated tooling including additive processes, subtractive processes and molding / casting processes. Each project begins with the question, what opportunities might arise from the mediation between material volition and computational control? By embracing indeterminate material results and taking an optimistic stance on chance and uncertainty, which are usually treated as problems rather than values, the intent is to provide ways for automating unique material effects and explore the opportunities for integrating soft computing in design.
keywords	Robotics, 3d Printing, Digital Fabrication, Automation, Indeterminacy
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	ecaade2017_288
id	ecaade2017_288
authors	Emo, Beatrix, Treyer, Lukas, Schmitt, Gerhard and Hoelscher, Christoph
year	2017
title	Towards defining perceived urban density
doi	https://doi.org/10.52842/conf.ecaade.2017.2.637
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. 637-646
summary	The aim of the paper is to identify parameters that influence perceived urban density. Whilst it is standard for architects and planners to consider urban density, there is often no consideration of how individuals might perceive such density. We report the findings of a study in which participants rate photographs of urban scenes according to perceived urban density. The case study area is central Zurich, Switzerland. The images are analyzed according to six parameters: visibility, amount of buildings, street width, amount of sky, amount of green space, and amount of vehicles. We report the findings of where images were ranked along a scale from lowest to highest perceived urban density. Findings show that visibility alone is not enough to explain the rating of perceived urban density. The study is a first step towards reaching a definition of perceived urban density that can be applied to different urban contexts.
keywords	urban density; perception; behavioural study; 3D reconstruction
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2018_412
id	ecaade2018_412
authors	Flanagan, Robert
year	2018
title	BIM’s Complexity and Ambiguity - BIM v. Paper Architecture
doi	https://doi.org/10.52842/conf.ecaade.2018.1.265
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 265-270
summary	Architects rely on the graphic language of words and art to bridge intention and design, just as it has always been. Yet, passing an idea or concept from mental imagery to design practice through 2D, 3D, and 4D design filters is especially challenging in BIM technology. Severe limitations hinder or even preclude BIMs use in certain complex design tasks, as identified in the Anti-Box, "The anti-box celebrates the death of the ninety-degree angle- in fact, every angle." (de Graaf 2017). Compatibility and constraints determine the most appropriate uses of BIM software, from designing mundane shopping mall developments to complex architectural engineering feats that stagger the imagination. BIM's main benefit is in the middle when it is creatively employed by professional architects in multi-discipline collaborations, well versed in symbolic representation, of designs conceived of multivalent design factors: narrative, form, function, multi-sensory access, materiality, space, and environment.
keywords	BIM; analog; HIC; Constructivist; Chernikov; photomatch
series	eCAADe
email
last changed	2022/06/07 07:51

_id	cf2017_596
id	cf2017_596
authors	Fukuda, Tomohiro; Nada, Hideki; Adachi, Haruo; Shimizu, Shunta; Takei, Chikako; Sato, Yusuke; Yabuki, Nobuyoshi; Motamedi, Ali
year	2017
title	Integration of a Structure from Motion into Virtual and Augmented Reality for Architectural and Urban Simulation: Demonstrated in Real Architectural and Urban Projects
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, p. 596.
summary	Computational visual simulations are extremely useful and powerful tools for decision-making. The use of virtual and augmented reality (VR/AR) has become a common phenomenon due to real-time and interactive visual simulation tools in architectural and urban design studies and presentations. In this study, a demonstration is performed to integrate Structure from Motion (SfM) into VR and AR. A 3D modeling method is explored by SfM under realtime rendering as a solution for the modeling cost in large-scale VR. The study examines the application of camera parameters of SfM to realize an appropriate registration and tracking accuracy in marker-less AR to visualize full-scale design projects on a planned construction site. The proposed approach is applied to plural real architectural and urban design projects, and results indicate the feasibility and effectiveness of the proposed approach.
keywords	Architectural and urban design, Visual simulation, Virtual reality, Augmented reality, Structure from motion.
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	cf2017_431
id	cf2017_431
authors	Gonzalez, Paloma; Sass, Larry
year	2017
title	Constructive Design: Rule Discovery for 3D Printing Decomposed Large Objects
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. 431-442.
summary	This paper presents a rule discovery process for designers that work with physically large 3D printed models. After a period of discovery, rules were formalized, then developed into operations and programmable functions used in a generative design system. Past examples of generative systems are built based on visual constraints leading to graphical outcomes. With the emergence of 3D printing, we introduce ideas for rule building based on physical constraints and outcomes. The decomposition rules are: curved surface slicing, freestanding attribute, interval patterning, edge mating, and pneumatic attribute. The freestanding attribute, the most novel rule, is based on Chilean anti-earthquake building techniques. This rule provides the greatest degree of structural stability to a model. We conclude with a discussion of results from the case study used to generate the set constructive rules. We believe this method of module generation, 3D Printing and assembles can support design prototyping and model manufacturing across scales.
keywords	Decomposition, Large Objects, 3D Printing.
series	CAAD Futures
email
last changed	2017/12/01 14:38

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