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	sigradi2020_522
id	sigradi2020_522
authors	Silva, Isabella Rodrigues Oliveira da; Andrade, Max Lira Veras Xavier de
year	2020
title	BIM Project Execution Plan for Infrastructure Superintendence (SINFRA) of the Federal University of Pernambuco: presentation of a case study
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. 522-527
summary	This paper shows the importance of implementing a BIM Execution Plan (BEP) as an instrument for the successfully BIM diffusion. BEP specifies the scope required for implementation, identifies processes, defines exchanges of information and describes needs of the project to provide adequate support for BIM implementation. The proposed BEP is to be implemented in the Design Sector (SINFRA) of a Brazilian Public University. It started with a diagnosis, choosing a pilot design project, defining the team to propose a BEP. This work presents the partial result of this BEP implementation, showing the benefits and the importance for the SINFRA.
keywords	Building Information Modeling (BIM), BIM Execution Plan (BEP), BIM implementation in public company, Design Process with BIM
series	SIGraDi
email
last changed	2021/07/16 11:52

_id	ecaade2020_314
id	ecaade2020_314
authors	Das, Avishek, Worre Foged, Isak and Jensen, Mads Brath
year	2020
title	Designing with a Robot - Interactive methods for brick wall design using computer vision
doi	https://doi.org/10.52842/conf.ecaade.2020.2.605
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. 605-612
summary	The deterministic and linear nature of robotic processes in architectural construction often allows no or very little adjustments during the fabrication process. If any need for modification arise the process is usually interrupted, changes are accommodated, and the process is resumed or restarted. The rigidity in this fabrication process leaves little room for creative intervention and human activities and robotic process are often considered as two segregated processes.The paper will present and discuss the methodological and design challenges of interactive robotic fabrication of brickwork with an industrial robotic arm, a webcam and bricks with varying color tones. Emphasis will be on the integration of external computer vision libraries within Rhino Grasshopper to augment the interactive robotic process. The paper will describe and demonstrate a framework comprising (1) robotic pick and place, material selection and evaluation using computer vision, (2) interactive robotic actuation and (3) the role of human input during a probabilistic fabrication-based design process.
keywords	interactive robotic fabrication; human robot collaboration; computer vision; masonry; machine learning
series	eCAADe
email
last changed	2022/06/07 07:56

_id	cdrf2019_46
id	cdrf2019_46
authors	Adam Chernick, Christopher Morse, Steve London, Tim Li, David Ménard, John Cerone, and Gregg Pasquarelli
year	2020
title	On-Site BIM-Enabled Augmented Reality for Construction
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_5
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary	We describe a prototype system for communicating building information and models directly to on-site general contractors and subcontractors. The system, developed by SHoP Architects, consists of a workflow of pre-processing information within Revit, post-processing information outside of Revit, combining data flows inside of a custom application built on top of Unity Reflect, and delivering the information through a mobile application on site with an intuitive user interface. This system incorporates augmented reality in combination with a dashboard of documentation views categorized by building element.
series	cdrf
email
last changed	2022/09/29 07:51

_id	acadia20_228
id	acadia20_228
authors	Alawadhi, Mohammad; Yan, Wei
year	2020
title	BIM Hyperreality
doi	https://doi.org/10.52842/conf.acadia.2020.1.228
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.
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	caadria2020_046
id	caadria2020_046
authors	Alva, Pradeep, Lee, Han Jie, Lin, Zhuoli, Mehta, Palak, Chen, Jielin and Janssen, Patrick
year	2020
title	Geo-computation for District Planning - An Agile Automated Modelling Approach
doi	https://doi.org/10.52842/conf.caadria.2020.1.793
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. 793-802
summary	This paper focuses on developing a novel geo-computational methodology for automating the generation of design options for district planning. The knowledge contribution focuses on the ability of the planners and designers to interact with and override the automated process. This approach is referred to as "agile automated modelling". The approach is demonstrated through a case study in which three adjacent districts are generated with a total area of approximately 1300 hectares. An automated modelling process is implemented based on a set of core planning principles established by the planners. The automated process generates street networks, land parcels, and 3-dimensional urban models. The process is broken down into three steps and users are then able to intervene at the end of every step to override and modify the outputs. This aims to help planners and designers to iteratively generate and assess various planning outcomes.
keywords	Geo-computation; procedural modelling; GIS; planning automation; neural network
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaade2020_193
id	ecaade2020_193
authors	Alymani, Abdulrahman, Jabi, Wassim and Corcoran, Padraig
year	2020
title	Machine Learning Methods for Clustering Architectural Precedents - Classifying the relationship between building and ground
doi	https://doi.org/10.52842/conf.ecaade.2020.1.643
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. 643-652
summary	Every time an object is built, it creates a relationship with the ground. Architects have a full responsibility to design the building by taking the ground into consideration. In the field of architecture, using data mining to identify any unusual patterns or emergent architectural trends is a nascent area that has yet to be fully explored. Clustering techniques are an essential tool in this process for organising large datasets. In this paper, we propose a novel proof-of-concept workflow that enables a machine learning computer system to cluster aspects of an architect's building design style with respect to how the buildings in question relate to the ground. The experimental workflow in this paper consists of two stages. In the first stage, we use a database system to collect, organise and store several significant architectural precedents. The second stage examines the most well-known unsupervised learning algorithm clustering techniques which are: K-Means, K-Modes and Gaussian Mixture Models. Our experiments demonstrated that the K-means clustering algorithm method achieves a level of accuracy that is higher than other clustering methods. This research points to the potential of AI in helping designers identify the typological and topological characteristics of architectural solutions and place them within the most relevant architectural canons
keywords	Machine Learning; Building and Ground Relationship; Clustering Algorithms; K-means cluster Algorithms
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2020_499
id	ecaade2020_499
authors	Ashour, Ziad and Yan, Wei
year	2020
title	BIM-Powered Augmented Reality for Advancing Human-Building Interaction
doi	https://doi.org/10.52842/conf.ecaade.2020.1.169
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
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	acadia20_66
id	acadia20_66
authors	Aviv, Dorit; Wang, Zherui; Meggers, Forrest; Ida, Aletheia
year	2020
title	Surface Generation of Radiatively-Cooled Building Skin for Desert Climate
doi	https://doi.org/10.52842/conf.acadia.2020.1.066
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. 66-73.
summary	A radiatively cooled translucent building skin is developed for desert climates, constructed out of pockets of high heat-capacity liquids. The liquids are contained by a wavelength-selective membrane enclosure, which is transmissive in the infrared range of electromagnetic radiation but reflective in the shortwave range, and therefore prevents overheating from solar radiation and at the same time allows for passive cooling through exposure of its thermal mass to the desert sky. To assess the relationship between the form and performance of this envelope design, we develop a feedback loop between computational simulations, analytical models, and physical tests. We conduct a series of simulations and bench-scale experiments to determine the thermal behavior of the proposed skin and its cooling potential. Several materials are considered for their thermal storage capacity. Hydrogel cast into membrane enclosures is tested in real climate conditions. Slurry phase change materials (PCM) are also considered for their additional heat storage capacity. Challenges of membrane welding patterns and nonuniform expansion of the membrane due to the weight of the enclosed liquid are examined in both digital simulations and physical experiments. A workflow is proposed between the radiation analysis based on climate data, the formfinding simulations of the elastic membrane under the liquid weight, and the thermal storage capacity of the overall skin.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2020_233
id	caadria2020_233
authors	Bar-Sinai, Karen Lee, Shaked, Tom and Sprecher, Aaron
year	2020
title	Sensibility at Large - A Post-Anthropocene Vision for Architectural Landscape Editing
doi	https://doi.org/10.52842/conf.caadria.2020.2.223
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 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 223-232
summary	The irreversible imprint of humankind on Earth calls for revisiting current construction practices. This paper forwards a vision for post-Anthropocene, large-scale, architectural, and landscape construction. This vision relates to transforming natural terrains into architecture using on-site robotic tools and enabling greater sustainability through increased sensibility. Despite advancements in large-scale digital fabrication in architecture, the field still mainly focuses on the production of objects. The proposed vision aims to advance theory and practice towards territorial scale digital fabrication of environments. Three notions are proposed: material-aware construction, large-scale customization, and integrated fabrication. These aspects are demonstrated through research and teaching projects. Using scale models, they explore the deployment of robotic tools toward reforming, stabilizing, and reconstituting soil in an architectural context. Together, they propose a theoretical ground for in situ digital fabrication for a new era, relinking architecture to the terrains upon which it is formed.
keywords	Digital Fabrication; territorial scale; on-site robotics; geomaterials; computational design
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	sigradi2020_455
id	sigradi2020_455
authors	Bastian, Andrea Verri; Filho, Jarede Joaquim de Souza; Garcia, Júlia Assis de Souza Sampaio
year	2020
title	Urban modelling for evaluating photovoltaic potential through solar radiation incidence
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. 455-463
summary	This study aims to better ascertain the influence that urbanistic parameters exert on the production of solar photovoltaic energy regarding different contexts in the city. Modifications implemented between the years of 2012 and 2016, especially on variables such as Maximum Lot Coverage, Floor Area Ratio, and Setbacks, have been evaluated through virtual models that cover areas in three different city districts. Amongst other implications, an increase in the area occupied by the buildings, as well as a decrease in the distance between them, occurred, causing more mutual shading and the loss of the photovoltaic potential associated with the building envelope.
keywords	Urbanistic parameters, Photovoltaic solar energy, Virtual models, Architecture, Urbanism
series	SIGraDi
email
last changed	2021/07/16 11:49

_id	caadria2020_258
id	caadria2020_258
authors	Beatricia, Beatricia, Indraprastha, Aswin and Koerniawan, M. Donny
year	2020
title	Revisiting Packing Algorithm - A Strategy for Optimum Net-to Gross Office Design
doi	https://doi.org/10.52842/conf.caadria.2020.1.405
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. 405-414
summary	Net-to-gross efficiency is defined as the ratio of net area to a gross area of a building. Net-to-gross efficiency will determine the quantity of leasable building area. On the other side, the effectiveness of the spatial distribution of a floor plan design must follow the value of net-to-gross efficiency. Therefore in the context of office design, there are two challenges need to be improved: 1) to get an optimum value of efficiency, architects need to assign the amount and size of the office units which can be effectively arranged, and 2) to fulfill high net-to-gross efficiency value that usually set out at minimal 85%. This paper aims to apply the packing algorithm as a strategy to achieve optimum net-to-gross efficiency and generating spatial configuration of office units that fit with the result. Our study experimented with series of models and simulations consisting of three stages that start from finding net-to-gross efficiency, defining office unit profiles based on preferable office space units, and applying the packing algorithm to get an optimum office net-to-gross efficiency. Computational processes using physics engine and optimization solvers have been utilized to generate design layouts that have minimal spatial residues, hence increasing the net-to-gross ratio.
keywords	net-to-gross efficiency; packing algorithm; modular office area; area optimization;
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaade2024_222
id	ecaade2024_222
authors	Bindreiter, Stefan; Sisman, Yosun; Forster, Julia
year	2024
title	Visualise Energy Saving Potentials in Settlement Development: By linking transport and energy simulation models for municipal planning
doi	https://doi.org/10.52842/conf.ecaade.2024.2.079
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 79–88
summary	To achieve Sustainable Development Goals, in addition to the switch to sustainable energy sources and energy-efficient buildings, transport offers a major lever for reducing energy consumption and greenhouse gases. The increasing demand for emission-free mobility (e.g. through electromobility) but also heat pumps has a direct impact on the electricity consumption of buildings and settlements. It is still difficult to simulate the effects and interactions of different measures as sector coupling concepts require comprehensible tools for ex ante evaluation of planning measures at the community level and the linking of domain-specific models (energy, transport). Using the municipality of Bruck an der Leitha (Austria) as an example, a digital twin based on an open data model (Bednar et al., 2020) is created for the development of methods, which can be used to simulate measures to improve the settlement structure within the municipality. Forecast models for mobility (Schmaus, 2019; Ritz, 2019) and the building stock are developed or applied and linked via the open data model to be able to run through development scenarios and variants. The forecasting and visualisation options created in the project form the basis for the ex-ante evaluation of measures and policies on the way to a Positive-Energy-District. By identifying and collecting missing data, data gaps are filled for the simulation of precise models in the specific study area. A digital, interactive 3D model is created to examine the forecast results and the different scenarios.
keywords	visualisation, decision support, sector coupling, holistic spatial energy models for municipal planning, (energy) saving potentials in settlement development
series	eCAADe
email
last changed	2024/11/17 22:05

_id	caadria2020_160
id	caadria2020_160
authors	Bruce, Caitlin, Sweet, Kevin and Ok, Jeongbin
year	2020
title	Closing the Loop - Recycling Waste Plastic
doi	https://doi.org/10.52842/conf.caadria.2020.1.135
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. 135-144
summary	Worldwide we produce billions of tonnes of waste per year, including a million tonnes of plastic waste. Currently, there are methods for recycling plastic, but these methods can be expensive and time-consuming, resulting in most of the plastic being thrown into the landfill. Because plastic does not fully degrade, it ends up in the ocean and other waterways, poisoning the water with toxins. The purpose of this research is to provide a solution to reducing plastic waste by creating an alternative method of recycling that utilises new technologies such as additive manufacturing, to create a building material that fits into the concept of the circular economy. The findings of this research explored the recycling of plastic by collecting plastic waste such as PLA (Polylactic Acid) from old 3D printed models and other sources. The plastic was recycled into filament for additive manufacturing (AM) and used to print a building component, establishing a foundational proof of concept for the use of recycled plastic as a potential building material.
keywords	Additive Manufacturing; 3D Printing; Recycling Plastic ; Recycled Filament ; Waste Plastic
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2020_391
id	caadria2020_391
authors	Caetano, InÃªs, Garcia, Sara, Pereira, InÃªs and LeitÃ£o, AntÃ³nio
year	2020
title	Creativity Inspired by Analysis - an algorithmic design system for designing structurally feasible faÃ§ades
doi	https://doi.org/10.52842/conf.caadria.2020.1.599
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. 599-608
summary	Although structural performance has a crucial role in the overall design, its analysis is often postponed to later design stages. This largely occurs because analysis processes are time consuming and require the use of specific models and tools. This problem is then aggravated by the number of design variations that have to be analysed until an acceptable solution is found. However, the implementation of design changes at later stages is limited, as also is their impact on the solution's final performance. Fortunately, with algorithmic design, we can overcome these limitations, as it not only supports complex designs and facilitates design changes, but also automates the production of the specific models and their subsequent analysis and optimization. In this research we focus on buildings faÃ§ades, proposing an algorithmic design system to support their design, structural analysis, and optimization.
keywords	Performance-based Design; Algorithmic Design; Algorithmic Structural Analysis; Algorithmic Optimization; FaÃ§ade Design
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2020_224
id	caadria2020_224
authors	Castelo-Branco, Renata and LeitÃ£o, AntÃ³nio
year	2020
title	Visual Meets Textual - A Hybrid Programming Environment for Algorithmic Design
doi	https://doi.org/10.52842/conf.caadria.2020.1.375
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. 375-384
summary	Algorithmic approaches are currently being introduced in many areas of human activity and architecture is no exception. However, designing with algorithms is a foreign concept to many and the inadequacy of current programming environments creates a barrier to the generalized adoption of Algorithmic Design (AD). This research aims to provide architects with a programming tool they feel comfortable with, while allowing them to fully benefit from AD's advantages in the creation of complex architectural models. We present Khepri.gh, a hybrid solution that combines Grasshopper, a visual programming environment, with Khepri, a flexible and scalable textual programming tool. Khepri.gh establishes a bridge between the visual and the textual paradigm, offering its users the best of both worlds while providing an extra set of advantages, including portability among CAD, BIM, and analysis tools.
keywords	Algorithmic Design; Hybrid Programming Environment; Textual Programming; Visual Programming
series	CAADRIA
email
last changed	2022/06/07 07:55

_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	caadria2020_012
id	caadria2020_012
authors	Chatzi, Anna-Maria and Wesseler, Lisa-Marie
year	2020
title	OGOS+ - A Tool to Visualize Densification potential
doi	https://doi.org/10.52842/conf.caadria.2020.1.773
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
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	sigradi2020_203
id	sigradi2020_203
authors	Chiarella, Mauro; Gronda, Ma. Luciana; Veizaga, Martín W.
year	2020
title	FLEXO.IN-FORM. Laminary envelopes to active flexion through geometric-material optimization processes
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. 203-208
summary	Flexo.In-Form. is a prototype derived from an experimental exercise to verify the structural effort of active flexion. Bending behavior is used as a design tool applied to structures that base their geometry on the elastic deformation of flat elements. Through "Integrative Processes" and a "Performance-Oriented Design Approach", the operational relationship between active mechanical mechanisms, material performance and geometric design has been enhanced. The proposed geometric and material optimization process extends the experiences with physical models of complex shapes through computational numerical calculation and its possibilities of simulation and digital evaluation.
keywords	Performance, Form-finding, Parametric Design, Physical Simulation, Digital Manufacturing
series	SIGraDi
email
last changed	2021/07/16 11:48

_id	acadia20_436
id	acadia20_436
authors	Chun Hin Fong, Jacky; Long Wun Poon, Adabelle; Sze Ngan, Wing; Hei Ho, Chung; Goepel, Garvin; Crolla, Kristof
year	2020
title	Augmenting Craft with Mixed Reality
doi	https://doi.org/10.52842/conf.acadia.2020.1.436
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. 436-444.
summary	This paper discusses novel methods for and advantages of integrating augmented reality (AR) and photogrammetry in hand clay-sculpting workflows. These techniques permit nontrained users to achieve higher precision during the sculpting process by holographically overlaying instructions from digital 3D source geometry on top of the sculpting material. By employing alternative notational systems in design implementation methods, the research positions itself in a postdigital context aimed at humanizing digital technologies. Throughout history, devices have been developed to increase production, such as Henry Dexter’s 1842 “Apparatus for Sculptors” for marble sculpting. Extrapolating from this, the workflow presented in this paper uses AR to overlay extracted information from 3D models directly onto the sculptor’s field of vision. This information can then become an AR-driven guidance system that assists the sculptor. Using the Microsoft HoloLens, holographic instructions are introduced in the production sequence, connecting the analog sculpture fabrication directly with a digital environment, thus augmenting the craftspeople’s agency. A series of AR-aided sculpting methods were developed and tested in a demonstrator case study project that created a small-scale clay copy of Henry Moore’s Sheep Piece (1971–1972). This paper demonstrates how user-friendly software and hardware tools have lowered the threshold for end users to develop new methods that straightforwardly facilitate and improve their crafts’ effectiveness and agency. This shows that the fusion of computational design technology and AR visualization technology can innovate a specific craft’s design and production workflow, opening the door for further application developments in more architecture-specific fabrication contexts.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_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
doi	https://doi.org/10.52842/conf.acadia.2020.1.688
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.
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
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last changed	2023/10/22 12:06

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