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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	acadia20_406
id	acadia20_406
authors	Duong, Eric; Vercoe, Garrett; Baharlou, Ehsan
year	2020
title	Engelbart
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. 406-415.
doi	https://doi.org/10.52842/conf.acadia.2020.1.406
summary	The internet has long been viewed as a cyberspace of free and collective information, allowing for an increase in the diversity of ideas and viewpoints available to the general public. However, critics argue that the emergence of personalization algorithms on social media and other internet platforms instead reduces information diversity by forming “filter bubbles"" of viewpoints similar to the user’s own. The adoption of these personalization algorithms is due in part to advancements in natural language processing, which allow for textual analysis at unprecedented scales. This paper aims to utilize natural language processing and architectural spatial principles to present social media from a collective viewpoint rather than a personalized one. To accomplish this, the paper introduces Engelbart, a data-driven agent-based system, where real-time Twitter conversations are visualized within a two-dimensional environment. This environment is interacted with by the artificial intelligence (AI) agent, Engelbart, which summarizes crowdsourced thoughts and feelings about current trending topics. The functionality of this web application comes from the natural language processing of thousands of tweets per minute throughout several layers of operations, including sentiment analysis and word embeddings. Presented as an understandable interface, it incorporates the values of cybernetics, cyberspace, agent-based modeling, and data ethics to show the potential for social media to become a more transparent space for collective discussion.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia20_678
id	acadia20_678
authors	Tursack, Hans
year	2020
title	Theoretical Notes on the Aesthetics of Architectural Texture Mapping
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. 678-687.
doi	https://doi.org/10.52842/conf.acadia.2020.1.678
summary	This paper explores several historical and contemporary examples of architecture that employ graphic texture mapping in their design processes. The technique of texture mapping is outlined as a particular formal relationship between images, geometric scaffolds, and new material explorations. Texture-mapped architecture is a relatively contemporary phenomenon that is distinct from several known genres of image-building hybrids such as media facades, Ganzfeld art installations, building-scale projection experiments, postmodern semiotic billboards, and affective ornamental pattern strategies. Architectural texturing utilizes UV editors in modeling and animation software platforms to place and edit two-dimensional graphics or photographic images on three-dimensional models. UV editors allow an unprecedented degree of precision during the design process; image and geometry can be manipulated in tandem and two-dimensional source material can be edited and live-updated. Material manifestations of this process use commercial printing technologies and one-off processes developed by artists and designers to generate building-grade printed envelopes. The theoretical wager of the paper is that the accessibility/availability of texture mapping techniques, digital printing technologies, and new materials (such as 3M’s vinyl wraps) have triggered a graphic impulse in contemporary experimental architecture culture. Images, color theory, and flat graphics are now central to compositional theory as it is taught in academia and applied in the field.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia20_516
id	acadia20_516
authors	Aghaei Meibodi, Mania; Voltl, Christopher; Craney, Ryan
year	2020
title	Additive Thermoplastic Formwork for Freeform Concrete Columns
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. 516-525.
doi	https://doi.org/10.52842/conf.acadia.2020.1.516
summary	The degree of geometric complexity a concrete element can assume is directly linked to our ability to fabricate its formwork. Additive manufacturing allows fabrication of freeform formwork and expands the design possibilities for concrete elements. In particular, fused deposition modeling (FDM) 3D printing of thermoplastic is a useful method of formwork fabrication due to the lightweight properties of the resulting formwork and the accessibility of FDM 3D printing technology. The research in this area is in early stages of development, including several existing efforts examining the 3D printing of a single material for formwork— including two medium-scale projects using PLA and PVA. However, the performance of 3D printed formwork and its geometric complexity varies, depending on the material used for 3D printing the formwork. To expand the existing research, this paper reviews the opportunities and challenges of using 3D printed thermoplastic formwork for fabricating custom concrete elements using multiple thermoplastic materials. This research cross-references and investigates PLA, PVA, PETG, and the combination of PLA-PVA as formwork material, through the design and fabrication of nonstandard structural concrete columns. The formwork was produced using robotic pellet extrusion and filament-based 3D printing. A series of case studies showcase the increased geometric freedom achievable in formwork when 3D printing with multiple materials. They investigate the potential variations in fabrication methods and their print characteristics when using different 3D printing technologies and printing materials. Additionally, the research compares speed, cost, geometric freedom, and surface resolution.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	sigradi2020_720
id	sigradi2020_720
authors	Agirbas, Asli
year	2020
title	A Teaching Methodology for Parametric Design: A Case Study with Parametric Bench
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 720-725
summary	In parametric design-oriented elective courses given in the architecture departments, most of the parametric designs generally remain at the modeling stage and cannot pass to the design application stage. In this study, this situation was determined as a research problem. Therefore, an experimental method within the scope of the parametric design course was considered. The applied method was discussed and the result product was evaluated. The applied method not only overcame the research problem, but also helped students to develop creativity and collaborative competency.
keywords	Parametric design, Digital fabrication, Architectural education, Teaching methodology, Undergraduate programme
series	SIGraDi
email
last changed	2021/07/16 11:52

_id	acadia20_228
id	acadia20_228
authors	Alawadhi, Mohammad; Yan, Wei
year	2020
title	BIM Hyperreality
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. 228-236.
doi	https://doi.org/10.52842/conf.acadia.2020.1.228
summary	Deep learning is expected to offer new opportunities and a new paradigm for the field of architecture. One such opportunity is teaching neural networks to visually understand architectural elements from the built environment. However, the availability of large training datasets is one of the biggest limitations of neural networks. Also, the vast majority of training data for visual recognition tasks is annotated by humans. In order to resolve this bottleneck, we present a concept of a hybrid system—using both building information modeling (BIM) and hyperrealistic (photorealistic) rendering—to synthesize datasets for training a neural network for building object recognition in photos. For generating our training dataset, BIMrAI, we used an existing BIM model and a corresponding photorealistically rendered model of the same building. We created methods for using renderings to train a deep learning model, trained a generative adversarial network (GAN) model using these methods, and tested the output model on real-world photos. For the specific case study presented in this paper, our results show that a neural network trained with synthetic data (i.e., photorealistic renderings and BIM-based semantic labels) can be used to identify building objects from photos without using photos in the training data. Future work can enhance the presented methods using available BIM models and renderings for more generalized mapping and description of photographed built environments.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	sigradi2020_297
id	sigradi2020_297
authors	Arboleda Pardo, Juan Gabriel; García-Alvarado, Rodrigo; Martínez Rocamora, Alejandro
year	2020
title	BIM-modeling and programming of curved concrete walls for 3D-printed construction
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 297-305
summary	This article presents the parametric design and modeling in BIM of curved walls for 3d-printed construction in concrete, seeking to manage the reduction of materials and construction execution times, and enhance its architectural expression. The process described here is structured in the following phases: (i) conceptual preliminary design exploration, defining formal parameters in Revit, (ii) parametric modeling with Dynamo and Revit, (iii) integration of structural validation and printing programming of the robotic arm, and examples of execution with 3D-printed construction.
keywords	BIM, Parametric programming, 3D-printed Construction, Curved wall, Digital fabrication
series	SIGraDi
email
last changed	2021/07/16 11:49

_id	sigradi2020_783
id	sigradi2020_783
authors	Asevedo, Laíze Fernandes de; Medeiros, Deisyanne Câmara A. de; Barbosa, Gabriele Mislaine; Silva, Marylia Ketyllee
year	2020
title	Parametric modeling as a supporting tool for teaching in a technical drawing course
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 783-790
summary	Despite the complexity of parametric modeling, used potentially to generate non-standard geometries, this paper presents a simple approach to adopt this tool as a support for teaching technical drawing contents. This experimental study was applied in a technical and high school education context, focusing on three subjects: 1) irregular polyhedra, 2) points in descriptive geometry, and 3) line in descriptive geometry. Exercises were implemented before and after the parametric experience with students, and the answers to both scenarios were compared. The results addressed to the efficiency of parametric modeling as a supporting tool in the teaching/learning process.
keywords	Parametric modeling, Didactic experiment, Technical drawing course, Irregular polyhedra, Descriptive geometry
series	SIGraDi
email
last changed	2021/07/16 11:53

_id	ecaade2020_499
id	ecaade2020_499
authors	Ashour, Ziad and Yan, Wei
year	2020
title	BIM-Powered Augmented Reality for Advancing Human-Building Interaction
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 169-178
doi	https://doi.org/10.52842/conf.ecaade.2020.1.169
summary	The shift from computer-aided design (CAD) to building information modeling (BIM) has made the adoption of augmented reality (AR) promising in the field of architecture, engineering and construction. Despite the potential of AR in this field, the industry and professionals have still not fully adopted it due to registration and tracking limitations and visual occlusions in dynamic environments. We propose our first prototype (BIMxAR), which utilizes existing buildings' semantically rich BIM models and contextually aligns geometrical and non-geometrical information with the physical buildings. The proposed prototype aims to solve registration and tracking issues in dynamic environments by utilizing tracking and motion sensors already available in many mobile phones and tablets. The experiment results indicate that the system can support BIM and physical building registration in outdoor and part of indoor environments, but cannot maintain accurate alignment indoor when relying only on a device's motion sensors. Therefore, additional computer vision and AI (deep learning) functions need to be integrated into the system to enhance AR model registration in the future.
keywords	Augmented Reality; BIM; BIM-enabled AR; GPS; Human-Building Interactions; Education
series	eCAADe
email
last changed	2022/06/07 07:54

_id	sigradi2020_652
id	sigradi2020_652
authors	Baldessin, Guilherme Quinilato; Vaz, Matheus Motta; Medeiros, Givaldo Luiz; Fabricio, Márcio Minto
year	2020
title	Modeling of steel and precast concrete components based on BIM systems and their application for the teaching of Architectural Design
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 652-659
summary	This paper addresses the development of parametric components based on BIM (Building Information Modeling) tools and their application for the teaching of architecture and urban designs, in a discipline focused on housing typology. As a didactic and research method, the use of industrialized building technologies in steel and precast concrete for production efficiency and low maintenance is associated with the idea of the studio as a laboratory for verification and experimentation. The system was improved for two years, and provided students with greater constructive control, basic feedback on the budget, and mastery of representation, while they investigated alternative design concepts and new components.
keywords	Architectural Design, Building Technology, BIM, Higher Education, Housing
series	SIGraDi
email
last changed	2021/07/16 11:52

_id	ecaade2020_418
id	ecaade2020_418
authors	Barczik, Günter and Königstein, Gesa
year	2020
title	Immediacy, Tools and Topography - Towards overcoming the digital divide between designers and developers
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 709-715
doi	https://doi.org/10.52842/conf.ecaade.2020.1.709
summary	We introduce direct, versatile and almost tactile techniques for designing topographies and density distributions in architecture and landscape architecture through a sequence of digital 2D drawing and 3D modeling tools. We situate these techniques within the broader context of the growing digital divide between designers and developers of design tools. We explain, demonstrate and discuss:(i) the relevance of the techniques in design tasks, (ii) advantages of our tool sequences, (iii) the functionality of the tools, their hitherto underused connection and their sequential use. We reason that hitherto, accessibility of design tools (or simplicity of input and handling) has been much less developed than their performance (or complexity of output and variability) and call on developers to remedy this.
keywords	Landscape Architecture; Topography Design; Design Tools
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2020_227
id	ecaade2020_227
authors	Bielski, Jessica, Langenhan, Christoph, Weyand, Babara, Neuber, Markus, Eisenstadt, Viktor and Althoff, Klaus-Dieter
year	2020
title	Topological Queries and Analysis of School Buildings Based on Building Information Modeling (BIM) Using Parametric Design Tools and Visual Programming to Develop New Building Typologies
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 279-288
doi	https://doi.org/10.52842/conf.ecaade.2020.2.279
summary	School buildings are currently one of the largest portions of planning and building projects in Germany. In order to reflect the continuous developments in school building construction with constantly changing spatial requirements, an approach to analyse, derive and combine patterns of schools is proposed to adapt school typologies accordingly. Therefore, the topology is analysed, concerning interconnection methods, such as adjacency, accessibility, depth, and flow. The geometric analysis of e.g. room sizes or spatial proportions is enhanced by including grouping of rooms, estimated room clusters, or room shapes. Furthermore, text-matching is used to determine e.g. room program fulfilment, or assigning functional room descriptions to predefined room types, revealing huge differences of terms throughout time and architects. First results of the analyses show a relevant correlation between spatial proportion and room types.
keywords	school building typologies; building information modeling (BIM); artificial intelligence (AI); topology; spatial analysis; digital semantic model
series	eCAADe
email
last changed	2022/06/07 07:52

_id	acadia20_74
id	acadia20_74
authors	Bucklin, Oliver; Born, Larissa; Körner, Axel; Suzuki, Seiichi; Vasey, Lauren; T. Gresser, Götz; Knippers, Jan; Menges,
year	2020
title	Embedded Sensing and Control
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. 74-83.
doi	https://doi.org/10.52842/conf.acadia.2020.1.074
summary	This paper investigates an interactive and adaptive control system for kinetic architectural applications with a distributed sensing and actuation network to control modular fiber-reinforced composite components. The aim of the project was to control the actuation of a foldable lightweight structure to generate programmatic changes. A server parses input commands and geometric feedback from embedded sensors and online data to drive physical actuation and generate a digital twin for real-time monitoring. Physical components are origami-like folding plates of glass and carbon-fiber-reinforced plastic, developed in parallel research. Accelerometer data is analyzed to determine component geometry. A component controller drives actuators to maintain or move towards desired positions. Touch sensors embedded within the material allow direct control, and an online user interface provides high-level kinematic goals to the system. A hierarchical control system parses various inputs and determines actuation based on safety protocols and prioritization algorithms. Development includes hardware and software to enable modular expansion. This research demonstrates strategies for embedded networks in interactive kinematic structures and opens the door for deeper investigations such as artificial intelligence in control algorithms, material computation, as well as real-time modeling and simulation of structural systems.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	sigradi2020_870
id	sigradi2020_870
authors	Castro-Arenas, Cristhian; Miralles, Monica
year	2020
title	Bioinformed Design of Dynamic Tensegrity Units
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 870-877
summary	This paper presents the bioinformed design of tensegrities based in the application of configurative logics of biotensegrities. Its purpose is to accomplish dynamic tensegrities, potentially applicable in the design of innovative technological devices. This article presents the analysis and design of three types of models: a) the Universal Tensegrity Joints introduced by Fuller, b) the Abstract Dynamic Units, and c) Bioinformed Dynamic Units. The methodology is based on simulating movements with parametric modeling in Rhinoceros software, with the usage of Grasshopper and Kangaroo plugins. Thus, a first classification of UDAs and the first phase of UDB models for leg and shoulder were obtained.
keywords	Tensegrity, Biotensegrity, Bioinformed, Parametric, Design
series	SIGraDi
email
last changed	2021/07/16 11:53

_id	sigradi2020_180
id	sigradi2020_180
authors	Cavalcanti, Isabella Eloy; Mendes, Leticia Teixeira
year	2020
title	Form and urban life in Christopher Alexander's work: translation of patterns for parametric code
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 180-187
summary	Computational design, specifically parametric modeling, has played important role in reaching complex forms, optimizations and automations of design processes. In addition to using parametric technology as a tool to generate form, this article aims to discuss the potential of parametric design as a connection between theory and design activity, both in practice and in the teaching activity. To illustrate that, this paper will present results of a bigger research that used the work of the architect Christopher Alexander as a basis for the development of decision-making instruments that deal with the complexity between form and urban life.
keywords	Urban design, Parametric modeling, Computational design, Christopher Alexander
series	SIGraDi
email
last changed	2021/07/16 11:48

_id	caadria2020_012
id	caadria2020_012
authors	Chatzi, Anna-Maria and Wesseler, Lisa-Marie
year	2020
title	OGOS+ - A Tool to Visualize Densification potential
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 773-782
doi	https://doi.org/10.52842/conf.caadria.2020.1.773
summary	OGOS+ is a GIS data-based tool, which would offer urban planners, architects, and researchers visualisations of potential building mass in the form of 3D models. It compares the height of existing buildings to the maximum permitted height by German zoning law and calculates the potential building mass. To ensure minimum building footprints it only calculates the densification potential on top of existing buildings. It summarises information of the building potential for future utilisation. The goal is an increase of urban density achieved with micro interventions.
keywords	Urban densification; City Information Modeling and GIS; Big Data and Analytics in Architecture
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	cdrf2019_17
id	cdrf2019_17
authors	Chuan Liu, Jiaqi Shen, Yue Ren, and Hao Zheng
year	2020
title	Pipes of AI – Machine Learning Assisted 3D Modeling Design
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_2
summary	Style transfer is a design technique that is based on Artificial Intelligence and Machine Learning, which is an innovative way to generate new images with the intervention of style images. The output image will carry the characteristic of style image and maintain the content of the input image. However, the design technique is employed in generating 2D images, which has a limited range in practical use. Thus, the goal of the project is to utilize style transfer as a toolset for architectural design and find out the possibility for a 3D modeling design. To implement style transfer into the research, floor plans of different heights are selected from a given design boundary and set as the content images, while a framework of a truss structure is set as the style image. Transferred images are obtained after processing the style transfer neural network, then the geometric images are translated into floor plans for new structure design. After the selection of the tilt angle and the degree of density, vertical components that connecting two adjacent layers are generated to be the pillars of the structure. At this stage, 2D style transferred images are successfully transformed into 3D geometries, which can be applied to the architectural design processes. Generally speaking, style transfer is an intelligent design tool that provides architects with a variety of choices of idea-generating. It has the potential to inspire architects at an early stage of design with not only 2D but also 3D format.
series	cdrf
email
last changed	2022/09/29 07:51

_id	acadia20_688
id	acadia20_688
authors	del Campo, Matias; Carlson, Alexandra; Manninger, Sandra
year	2020
title	3D Graph Convolutional Neural Networks in Architecture Design
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. 688-696.
doi	https://doi.org/10.52842/conf.acadia.2020.1.688
summary	The nature of the architectural design process can be described along the lines of the following representational devices: the plan and the model. Plans can be considered one of the oldest methods to represent spatial and aesthetic information in an abstract, 2D space. However, to be used in the design process of 3D architectural solutions, these representations are inherently limited by the loss of rich information that occurs when compressing the three-dimensional world into a two-dimensional representation. During the first Digital Turn (Carpo 2013), the sheer amount and availability of models increased dramatically, as it became viable to create vast amounts of model variations to explore project alternatives among a much larger range of different physical and creative dimensions. 3D models show how the design object appears in real life, and can include a wider array of object information that is more easily understandable by nonexperts, as exemplified in techniques such as building information modeling and parametric modeling. Therefore, the ground condition of this paper considers that the inherent nature of architectural design and sensibility lies in the negotiation of 3D space coupled with the organization of voids and spatial components resulting in spatial sequences based on programmatic relationships, resulting in an assemblage (DeLanda 2016). These conditions constitute objects representing a material culture (the built environment) embedded in a symbolic and aesthetic culture (DeLanda 2016) that is created by the designer and captures their sensibilities.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2020_261
id	ecaade2020_261
authors	Dimopoulos, Georgios, Kontaxakis, Dimitris, Symeonidou, Ioanna and Tsinikas, Nikos
year	2020
title	From Analog to Digital: Double Curved Lightweight Structures in Architectural Design Education
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 181-188
doi	https://doi.org/10.52842/conf.ecaade.2020.2.181
summary	The paper describes an architectural design studio for 5th year students at the Department of Architecture of the Aristotle University in Thessaloniki, Greece. The educational objective of the studio is the design of double curved lightweight structures, employing a creative methodology which instrumentalizes the study of nature as a source of inspiration. The objective of the course is to familiarize the students with curves and form-finding (analogue and digital) with the aim to design forms that display structural stability. The paper will highlight the educational gains from a hybrid design methodology which employs both analog (physical) form-finding tools and digital modeling for the design of double curvature surfaces.
keywords	Lightweight structures; Form-finding; Dynamic models; Tensile structures; Architecture education
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2020_290
id	ecaade2020_290
authors	Elesawy, Amr Alaaeldin, Signer, Mario, Seshadri, Bharath and Schlueter, Arno
year	2020
title	Aerial Photogrammetry in Remote Locations - A workflow for using 3D point cloud data in building energy modeling
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 723-732
doi	https://doi.org/10.52842/conf.ecaade.2020.1.723
summary	Building energy modelling (BEM) results are highly affected by the surrounding environment, due to the impact of solar radiation on the site. Hence, modelling the context is a crucial step in the design process. This is challenging when access to the geometrical data of the built and natural environment is unavailable as in remote villages. The acquisition of accurate data through conventional surveying proves to be costly and time consuming, especially in areas with a steep and complex terrain. Photogrammetry using drone-captured aerial images has emerged as an innovative solution to facilitate surveying and modeling. Nevertheless, the workflow of translating the photogrammetry output from data points to surfaces readable by BEM tools proves to be tedious and unclear. This paper presents a streamlined and reproducible approach for constructing accurate building models from photogrammetric data points to use for architectural design and energy analysis in early design stage projects.
keywords	Building Energy Modeling; Photogrammetry; 3D Point Clouds; Low-energy architecture; Multidisciplinary design; Education
series	eCAADe
email
last changed	2022/06/07 07:55

_id	caadria2020_272
id	caadria2020_272
authors	Erhan, Halil, Abuzuraiq, Ahmed M., Zarei, Maryam, AlSalman, Osama, Woodbury, Robert and Dill, John
year	2020
title	What do Design Data say About Your Model? - A Case Study on Reliability and Validity
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 557-567
doi	https://doi.org/10.52842/conf.caadria.2020.1.557
summary	Parametric modeling systems are widely used in architectural design. Their use for designing complex built environments raises important practical challenges when composed by multiple people with diverse interests and using mostly unverified computational modules. Through a case study, we investigate possible concerns identifiable from a real-world collaborative design setting and how such concerns can be revealed through interactive data visualizations of parametric models. We then present our approach for resolving these concerns using a design analytic workflow for examine their reliability and validity. We summarize the lessons learnt from the case study, such as the importance of an abundance of test cases, reproducible design instances, accessing and interacting with data during all phases of design, and seeking high cohesion and decoupling between design geometry and evaluation components. We suggest a systematic integration of design modeling and analytics for enhancing a reliable design decision-making.
keywords	Model Reliability; Model Validity; Parametric Modeling; Design Analytics; Design Visualization
series	CAADRIA
email
last changed	2022/06/07 07:55

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