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	ecaadesigradi2019_398
id	ecaadesigradi2019_398
authors	Fink, Theresa and Koenig, Reinhard
year	2019
title	Integrated Parametric Urban Design in Grasshopper / Rhinoceros 3D - Demonstrated on a Master Plan in Vienna
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 313-322
doi	https://doi.org/10.52842/conf.ecaade.2019.3.313
summary	By 2050 an estimated 70 percent of the world's population will live in megacities with more than 10 million citizens (Renner 2018). This growth calls for new target-oriented, interdisciplinary methods in urban planning and design in cities to meet sustainable development targets. In response, this paper exemplifies an integrated urban design process on a master plan project in Vienna. The objective is to investigate the potential towards a holistic, digital, urban design process aimed at the development of a practical methodology for future designs. The presented urban design process includes analyses and simulation tools within Rhinoceros 3D and its plug-in Grasshopper as quality-enhancing mediums that facilitate the creative approaches in the course of the project. The increase in efficiency and variety of design variants shows a promising future for the practical suitability of this approach.
keywords	urban design; parametric modeling; urban simulation; design evaluation; environmental performance
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:50

_id	acadia19_16
id	acadia19_16
authors	Hosmer, Tyson; Tigas, Panagiotis
year	2019
title	Deep Reinforcement Learning for Autonomous Robotic Tensegrity (ART)
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 16-29
doi	https://doi.org/10.52842/conf.acadia.2019.016
summary	The research presented in this paper is part of a larger body of emerging research into embedding autonomy in the built environment. We develop a framework for designing and implementing effective autonomous architecture defined by three key properties: situated and embodied agency, facilitated variation, and intelligence.We present a novel application of Deep Reinforcement Learning to learn adaptable behaviours related to autonomous mobility, self-structuring, self-balancing, and spatial reconfiguration. Architectural robotic prototypes are physically developed with principles of embodied agency and facilitated variation. Physical properties and degrees of freedom are applied as constraints in a simulated physics-based environment where our simulation models are trained to achieve multiple objectives in changing environments. This holistic and generalizable approach to aligning deep reinforcement learning with physically reconfigurable robotic assembly systems takes into account both computational design and physical fabrication. Autonomous Robotic Tensegrity (ART) is presented as an extended case study project for developing our methodology. Our computational design system is developed in Unity3D with simulated multi-physics and deep reinforcement learning using Unity’s ML-agents framework. Topological rules of tensegrity are applied to develop assemblies with actuated tensile members. Single units and assemblies are trained for a series of policies using reinforcement learning in single-agent and multi-agent setups. Physical robotic prototypes are built and actuated to test simulated results.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:50

_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
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
doi	https://doi.org/10.52842/conf.ecaade.2024.2.079
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	sigradi2023_39
id	sigradi2023_39
authors	Borges, Marina, Karantino, Lucas and Gorges, Diego
year	2023
title	Walkability: Digital Parametric Process for Analyzing and Evaluating Walkability Criteria in Peripheral Central Regions of Belo Horizonte
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 397–408
summary	According to one of the Sustainable Development Goals (UN, 2018), it is important for cities to be inclusive, safe, resilient, and sustainable. Therefore, it is necessary to value pedestrians and consequently active mobility, giving priority to the concepts of the Transportation Oriented Development (TOD) methodology. Although the Master Plan (BELO HORIZONTE, 2019) proposes that areas located in regional centralities are enhancing active mobility, can residents actually benefit from these resources at a walkable distance to access basic services? Thus, the aim of this research is to utilize digital technologies to visualize, analyze, and assess pedestrians' access conditions to commerce and basic services, identifying areas lacking infrastructure. The goal is for the model to serve as a reference for the development of public policies. To achieve this, metadata was used for parametric modeling to study walkability in the peripheral region of the city of Belo Horizonte.
keywords	Walkability, Urban Data Analysis, Urban Design, Parametric Urbanism, Algorithmic Logic
series	SIGraDi
email
last changed	2024/03/08 14:07

_id	acadia19_642
id	acadia19_642
authors	Chua, Pamela Dychengbeng; Hui, Lee Fu
year	2019
title	Compliant Laminar Assemblies
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 642-653
doi	https://doi.org/10.52842/conf.acadia.2019.642
summary	This paper presents an innovative approach to the design and fabrication of three-dimensional objects from single-piece flat sheets, inspired by the origami technique of twist-closing. While in origami twist-closing is merely used to stabilize a cylindrical or spherical structure, ensuring it maintains its shape, this research investigates the potential of twist-closing as a multi-functional mechanism that also activates and controls the transformation of a planar surface into a predesigned three-dimensional form. This exploration is directed towards an intended application to stiff and brittle sheet materials that are difficult to shape through other processes. The methods we have developed draw mainly upon principles of lattice kirigami and laminar reciprocal structures. These are reflected in a workflow that integrates digital form-generation and fabrication-rationalization techniques to reference and apply these principles at every stage. Significant capabilities of the developed methodology include: (1) achievement of pseudo-double-curvature with brittle, stiff sheet materials; (2) stabilization in a 3D end-state as a frameless self-contained single-element laminar reciprocal structure—essentially a compliant mechanism; and (3) an ability to pre-encode 3D assembly constraints in a 2D cutout pattern, which guides a moldless fabrication process. The paper reviews the precedent geometric techniques and principles that comprise this method of 3D surface fabrication and describes a sample deployment of the method as applied to the design of laminar modules made of high-pressure laminate (HPL).
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_648
id	ecaadesigradi2019_648
authors	Eisenstadt, Viktor, Langenhan, Christoph and Althoff, Klaus-Dieter
year	2019
title	Generation of Floor Plan Variations with Convolutional Neural Networks and Case-based Reasoning - An approach for transformative adaptation of room configurations within a framework for support of early conceptual design phases
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 79-84
doi	https://doi.org/10.52842/conf.ecaade.2019.2.079
summary	We present an approach for computer-aided generation of different variations of floor plans during the early phases of conceptual design in architecture. The early design phases are mostly characterized by the processes of inspiration gaining and search for contextual help in order to improve the building design at hand. The generation method described in this work uses the novel as well as established artificial intelligence methods, namely, generative adversarial nets and case-based reasoning, for creation of possible evolutions of the current design based on the most similar previous designs. The main goal of this approach is to provide the designer with information on how the current floor plan can evolve over time in order to influence the direction of the design process. The work described in this paper is part of the methodology FLEA (Find, Learn, Explain, Adapt) whose task is to provide a holistic structure for support of the early conceptual phases in architecture. The approach is implemented as the adaptation component of the framework MetisCBR that is based on FLEA.
keywords	room configuration; adaptation; case-based reasoning; convolutional neural networks; conceptual design
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	cf2019_008
id	cf2019_008
authors	Han, Zhen; Ning Cao, Gang Liu and Wei Yan
year	2019
title	MOPSO for BIM: A Multi-Objective Optimization Tool Using Particle Swarm Optimization Algorithm on a BIMbased Visual Programming Platform
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 39-51
summary	With the increasing applications of computational methods in the field of design optimization, intelligent metaheuristic algorithms are playing a more important role in building performance optimization. To enable the integration of optimization algorithms with Building Information Modeling (BIM), this research implemented the Particle Swarm Optimization (PSO) algorithm on Revit + Dynamo, which is a parametric BIM platform. A MultiObjective PSO (MOPSO) Solver has been developed in Dynamo using MATLAB and C# programming languages. The methodology of the research and the validation studies are presented in the paper. The validation studies prove the effectiveness of the MOPSO Solver for both standard optimization test functions and an optimization example of a simplified building design.
keywords	Particle Swarm Optimization, BIM, multi-objective optimization, visual programming
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	caadria2019_266
id	caadria2019_266
authors	Indraprastha, Aswin and Dwi Pranata Putra, Bima
year	2019
title	Informed Walkable City Model - Developing A Multi-Objective Optimization Model for Evaluating Walkability Concept
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 161-170
doi	https://doi.org/10.52842/conf.caadria.2019.2.161
summary	This study presents an informed city analysis methodology as a tool for evaluating the concept of walkability for the existing urban area. The aim of this study was to propose an integrative approaches enable optimization of urban design element and walkability amenities under certain walkability performance criteria. The parametric methods are being developed in three stages of modeling: 1) City data modeling; 2) Walkability scores and indicators modeling; 3) Optimization model of the urban area. In the walk score algorithm, we modified three elements that determine walk score result: Walk Score Categories, Distance Decay Function and Pedestrian Friendliness Metric. We developed the customized algorithm based on the data gathered from field observation and sample interviews to normalize and define values in the walk score algorithm. The result is a parametric model to evaluate walkability concept in a certain urban area considering quantified factors that determine walkability scores. The model furthermore seeks to optimize walkability score by assessing new amenities on an existing urban area using multi-objective optimization method that produces an integrative method of urban analysis.
keywords	walkability; walk score; parametric models; multi-objective optimization; informed city analysis
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ijac201917204
id	ijac201917204
authors	Karaoglan Füsun Cemre and Sema Alaçam
year	2019
title	Design of a post-disaster shelter through soft computing
source	International Journal of Architectural Computing vol. 17 - no. 2, 185-205
summary	Temporary shelters become a more critical subject of architectural design as the increasing number of natural disasters taking place each year result in a larger number of people in need of urgent sheltering. Therefore, this project focuses on designing a temporary living space that can respond to the needs of different post-disaster scenarios and form a modular system through differentiation of units. When designing temporary shelters, it is a necessity to deal with the provision of materials, low-cost production and the time limit in the emergency as well as the needs of the users and the experiential quality of the space. Although computational approaches might lead to much more efficient and resilient design solutions, they have been utilized in very few examples. For that reason and due to their suitability to work with architectural design problems, soft computing methods shape the core of the methodology of the study. Initially, a digital model is generated through a set of rules that define a growth algorithm. Then, Multi-Objective Genetic Algorithms alter this growth algorithm while evaluating different configurations through the objective functions constructed within a Fuzzy Neural Tree. The struggle to represent design goals in the form of Fuzzy Neural Tree holds potential for the further use of it for architectural design problems centred on resilience. Resilience in this context is defined as a measure of how agile a design is when dealing with a major sheltering need in a post-disaster environment. Different from the previous studies, this article aims to focus on the design of a temporary shelter that can respond to different user types and disaster scenarios through mass customization, using Fuzzy Neural Tree as a novel approach. While serving as a temporary space, the design outcomes are expected to create a more neighbourhood-like pattern with a stronger sense of community for the users compared to the previous examples.
keywords	Humanitarian design, emergency architecture, computational design, Fuzzy Neural Tree, Multi-Objective Genetic Algorithms
series	journal
email
last changed	2019/08/07 14:04

_id	ecaadesigradi2019_506
id	ecaadesigradi2019_506
authors	Kontovourkis, Odysseas, Georgiou, Christos, Stroumpoulis, Andreas, Kounnis, Constantinos, Dionyses, Christos and Bagdati, Styliana
year	2019
title	Implementing Augmented Reality for the Holographic Assembly of a Modular Shading Device
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 149-158
doi	https://doi.org/10.52842/conf.ecaade.2019.3.149
summary	The development of innovative digital design and fabrication tools for material processing and manufacturing of complex and non-standard forms, apart from their advantages, have brought a number of challenges. These might be related to the effectiveness and sustainable potential of implementation associated with environmental, cost and time-related parameters, particularly in cases of large number of elements construction and complex assembly. Augmented Reality (AR) is an emerging technology with great potential for implementation in the construction industry, since it can enhance the real world with additional digital information, and thus, can assist towards manufacture and assemble of these particular systems. This study presents an AR methodology for assembling a modular shading device and discusses the advantages and disadvantages that this application can bring to the Architecture, Engineering and Construction (AEC) industry by taking into account precision and construction time issues based on the handling of the process by skilled and unskilled users/workers. Our aim is to investigate the potential implementation of AR in the assembly, and consequently, in the construction process as a whole. Also, this study aims at exploring existing constraints of the technology and suggests ways of improvement.
keywords	Augmented Reality; Holographic assembly; Modular system; Shading device
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

_id	cf2019_015
id	cf2019_015
authors	Ladron de Guevara, Manuel; Luis Ricardo Borunda and Ramesh Krishnamurti
year	2019
title	A Multi-Resolution Design Methodology Based on Discrete Models
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 129
summary	The use of programming languages in design opens up unexplored and previously unworkable territories, mainly, in conventional architectural practice. In the 1990s, languages of continuity, smoothness and seamlessness dominated the architectural inquiry with the CNC milling machine as its manufacturing tool. Today’s computational design and fabrication technology look at languages of synthesis of fragments or particles, with the 3D printer as its fabrication archetype. Fundamental to this idea is the concept of resolution– the amount of information stored at any localized region. Construction of a shape is then based on multiple regions of resolution. This paper explores a novel design methodology that takes this concept of resolutions on discrete elements as a design driver for architectural practice. This research has been tested primarily through additive manufacturing techniques.
keywords	Multi-Resolution Design Methodology; Discrete-Based Computational Design; Resolutions; Additive Manufacturing
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	acadia19_510
id	acadia19_510
authors	Leder, Samuel; Weber, Ramon; Wood, Dylan; Bucklin, Oliver; Menges, Achim
year	2019
title	Distributed Robotic Timber Construction
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 510-519
doi	https://doi.org/10.52842/conf.acadia.2019.510
summary	Advances in computational design and robotic building methods have the potential to enable architects to author more sustainable, efficient, and geometrically varied systems that shape our built environment. To fully harness this potential, the inherent relationship of design and building processes requires a fundamental shift in the way we design and how we build. High degree of customization in architectural projects and constantly changing conditions of construction environments pose significant challenges for the implementation of automated construction machines. Beyond traditional, human-inspired, industrial robotic building methods, we present a distributed robotic system where the robotic builders are designed in direct relationship with the material and architecture they assemble. Modular, collaborative, single axis robots are designed to utilize standardized timber struts as a basic building material, and as a part of their locomotion system, to create large-scale timber structures with high degrees of differentiation. The decentralized, multi-robot system uses a larger number of simple machines that collaborate in teams to work in parallel on varying tasks such as material transport, placement, and fixing. The research explores related architectural and robotic typologies to create timber structures with novel aesthetics and performances.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:52

_id	ecaadesigradi2019_114
id	ecaadesigradi2019_114
authors	Lee, Gyueun and Lee, Ji-hyun
year	2019
title	Sustainable Design Framework for the Anthropocene - Preliminary research of integrating the urban data with building information
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 561-568
doi	https://doi.org/10.52842/conf.ecaade.2019.2.561
summary	In terms of the efficiency and informatization in the architecture and construction industry, the Fourth Industrial Revolution presents positive aspects of technological development, but we need to discuss the expanded concept, the Anthropocene. The era of the human-made environment having a powerful influence on the global system is called Anthropocene. Since the 1950s, many indicators representing human activity and earth system have shown the 'Great acceleration'. Currently, lots of urban data including building information, construction waste, and GHG emission ratio is indicating how much the urban area was contaminated with artifacts. So, the integrated planning and design approach are needed for sustainable design with data integration. This paper examines the GIS, LCA and BIM tools focusing on building information and environmental load. With the literature review, the computational system for sustainable design is demonstrated to integrate into one holistic framework for the Anthropocene. There were some limitations that data was simplified during the statistical processing, and the framework has limitations that must be demonstrated by actual data in the future. However, this could be an early approach to integrating geospatial and environmental analysis with the design framework. And it can be applied to another urban area for sustainable urban models for the Anthropocene
keywords	Anthropocene; Sustainable Design Framework; Urban Data Analysis; GIS; LCA; BIM
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

_id	ecaade2024_92
id	ecaade2024_92
authors	Mayor Luque, Ricardo; Beguin, Nestor; Rizvi Riaz, Sheikh; Dias, Jessica; Pandey, Sneham
year	2024
title	Multi-material Gradient Additive Manufacturing: A data-driven performative design approach to multi-materiality through robotic fabrication
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 1, pp. 381–390
doi	https://doi.org/10.52842/conf.ecaade.2024.1.381
summary	Buildings are responsible for 39% of global energy-related carbon emissions, with operational activities contributing 28% and materials and construction accounting for 11%(World Green Building Council, 2019) It is therefore vital to reconsider our reliance on fossil fuels for building materials and to develop new advanced manufacturing techniques that enable an integrated approach to material-controlled conception and production. The emergence of Multi-material Additive Manufacturing (MM-AM) technology represents a paradigm shift in producing elements with hybrid properties derived from novel and optimized solutions. Through robotic fabrication, MM-AM offers streamlined operations, reduced material usage, and innovative fabrication methods. It encompasses a plethora of methods to address diverse construction needs and integrates material gradients through data-driven analyses, challenging traditional prefabrication practices and emphasizing the current growth of machine learning algorithms in design processes. The research outlined in this paper presents an innovative approach to MM-AM gradient 3D printing through robotic fabrication, employing data-driven performative analyses enabling control over print paths for sustainable applications in both the AM industry and our built environment. The article highlights several designed prototypes from two distinct phases, demonstrating the framework's viability, implications, and constraints: a workshop dedicated to data-driven analyses in facade systems for MM-AM 3D-printed brick components, and a 3D-printed brick facade system utilizing two renewable and bio-materials—Cork sourced from recycled stoppers and Charcoal, with the potential for carbon sequestration.
keywords	Data-driven Performative design, Multi-material 3d Printing, Material Research, Fabrication-informed Material Design, Robotic Fabrication
series	eCAADe
email
last changed	2024/11/17 22:05

_id	caadria2022_74
id	caadria2022_74
authors	Mazza, Domenico, Kocaturk, Tuba and Kaljevic, Sofija
year	2022
title	Geelong Digital Outdoor Museum (GDOM) - Photogrammetry as the Surface for a Portable Museum
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 677-686
doi	https://doi.org/10.52842/conf.caadria.2022.1.677
summary	This paper presents the development and evaluation of the Geelong Digital Outdoor Museum (GDOM) prototype accessible at https://gdom.mindlab.cloud. GDOM is a portable museum‚our novel adaptation of the distributed museum model (Stuedahl & Lowe, 2013) which uses mobile devices to present museum collections attached to physical sites. Our prototype defines a way for intangible heritage associated with tangible landscapes to be accessible via personal digital devices using 360 3D scanned digital replicas of physical landscapes (photogrammetric digital models). Our work aligns with efforts set out in the UN Sustainable Development Goal 11 (SDG 11) to safeguard cultural and natural heritage, by openly disseminating the heritage of physical sites seamlessly through the landscape. Using a research by design methodology we delivered our prototype as a modular web-based platform that leveraged the Matterport digital model platform. We qualitatively evaluated the prototype's usability and future development opportunities with 32 front-end users and 13 potential stakeholders. We received a wide gamut of responses that included: users feeling empowered by the greater accessibility, users finding a welcome common ground with comparable physical experiences, and users and potential stakeholders seeing the potential to re-create physical world experiences with modifications to the digital model along with on-site activation. Our potential stakeholders suggested ways in which GDOM could be integrated into the arts, education, and tourism to widen its utility and applicability. In future we see design potential in breaking out of the static presentation of the digital model and expanding our portable museum experience to work on-site as a complement to the remote experience. However, we recognise the way in which on-site activation integrate into users' typical activities can be tangential (McGookin et al., 2019) and this would necessitate further investigation into how to best integrate the experience on-site.
keywords	Cultural Heritage, Intangible Heritage, Digital Heritage, Web Platform, 3D Scanning, Photogrammetry, Digital model, Portable Museum, Distributed Museum, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	acadia19_470
id	acadia19_470
authors	Meyboom, AnnaLisa; Correa, David; Krieg, Oliver David
year	2019
title	Stressed Skin Wood Surface Structure
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 470-477
doi	https://doi.org/10.52842/conf.acadia.2019.470
summary	Innovation in parametric design and robotic fabrication is in reciprocal relationship with the investigation of new structural types that facilitated by this technology. The stressed skin structure has historically been used to create lightweight curved structures, mainly in engineering applications such as naval vessels, aircraft, and space shuttles. Stressed skin structures were first referred to by Fairbairn in 1849. In England, the first use of the structure was in the Mosquito night bomber of World War II. In the United States, stressed skin structures were used at the same time, when the Wright Patterson Air Force Base designed and fabricated the Vultee BT-15 fuselage using fiberglass-reinforced polyester as the face material and both glass-fabric honeycomb and balsa wood core. With the renewed interest in wood as a structural building material, due to its sustainable characteristics, new potentials for the use of stressed skin structures made from wood on building scales are emerging. The authors present a material informed system that is characterized by its adaptability to freeform curvature on exterior surfaces. A stressed skin system can employ thinner materials that can be bent in their elastic bending range and then fixed into place, leading to the ability to be architecturally malleable, structurally highly efficient, as well as easily buildable. The interstitial space can also be used for services. Advanced digital fabrication and robotic manufacturing methods further enhance this capability by enabling precisely fabricated tolerances and embedded assembly instructions; these are essential to fabricate complex, multi-component forms. Through a prototypical installation, the authors demonstrate and discuss the technology of the stressed skin structure in wood considering current digital design and fabrication technologies.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:58

_id	acadia19_586
id	acadia19_586
authors	Mitterberger, Daniela; Derme, Tiziano
year	2019
title	Soil 3D Printing
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 586-595
doi	https://doi.org/10.52842/conf.acadia.2019.586
summary	Despite, the innovation of additive manufacturing (AM) technology, and in spite of the existence of natural bio-materials offering notable mechanical properties, materials used for AM are not necessarily more sustainable than materials used in traditional manufacturing. Furthermore, potential material savings may be partially overshadowed by the relative toxicity of the material and binders used for AM during fabrication and post-fabrication processes, as well as the energy usage necessary for the production and processing workflow. Soil as a building material offers a cheap, sustainable alternative to non-biodegradable material systems, and new developments in earth construction show how earthen buildings can create light, progressive, and sustainable structures. Nevertheless, existing large-scale earthen construction methods can only produce highly simplified shapes with rough detailing. This research proposes to use robotic additive manufacturing processes to overcome current limitations of constructing with earth, supporting complex three-dimensional geometries, and the creation of novel organic composites. More specifically the research focuses on robotic binder-jetting with granular bio-composites and non-toxic binding agents such as hydrogels. This paper is divided into two main sections: (1) biodegradable material system, and (2) multi-move robotic process, and describes the most crucial fabrication parameters such as compaction pressure, density of binders, deposition strategies and toolpath planning as well as identifying the architectural implications of using this novel biodegradable fabrication process. The combination of soil and hydrogel as building material shows the potential of a fully reversible construction process for architectural components and foresees its potential full-scale architectural implementations.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:58

_id	ecaadesigradi2019_183
id	ecaadesigradi2019_183
authors	Mughal, Humera and Beirao, Jose
year	2019
title	A Workflow for the Performance Based Design of Naturally Ventilated Tall Buildings Using a Genetic Algorithm (GA)
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 645-654
doi	https://doi.org/10.52842/conf.ecaade.2019.2.645
summary	Optimization of Natural Ventilation process in highrise buildings is one of the most complex and least addressed phenomenon in the field of sustainable architecture. This issue requires urgent consideration to reduce the computation time due to fast growing demand of vertical construction in metropolitan cities. Until recently most highrise buildings have been operated with mechanical systems, causing high energy loads in hot climates and have high carbon footprints. Highrise buildings with natural ventilation and sky gardens can address these problems. This study involves the development of a Genetic Algorithm (GA) addressing the multi objective optimization of natural ventilation in tall buildings incorporated with Sky-Gardens at different levels all connected through a central ventilation shaft. The fitness function for this GA is composed of three scales; temperature reduction due to evapotranspiration of plants of sky-gardens, optimum wind velocity for channelizing air inside the corridors and ventilation shaft, and optimum building configuration. The aim is to find the best solutions for tall buildings constructed in hot climate through the provision of optimized airflow paths suitable for the effectiveness of natural ventilation, within a reasonably short computation time for supporting design processes at early stage.
keywords	Optimization; Natural Ventilation; Tall buildings; Genetic Algorithms
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:59

_id	ecaadesigradi2019_464
id	ecaadesigradi2019_464
authors	Santiago, Pedro
year	2019
title	Evolutionary Optimization of Building Facade Form for Energy and Comfort in Urban Environment through BIM and Algorithmic Modeling - A case study in Porto, Portugal
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 153-160
doi	https://doi.org/10.52842/conf.ecaade.2019.2.153
summary	Consolidated urban areas usually present a challenge for the sustainable design decisions for the architect. The site, orientation and surrounding built environment compromise both passive and active systems, shortening the possible optimization measures available, leaving the designer with doubts as far as efficiency is concerned.BIM methodologies and visual programming languages have opened up a very wide range of design and analysis tools allowing the architect to make informed decisions based on data extracted from the models. Nonetheless it's optimization is through a slow process of trial and error, creating a significant limitation. This paper discusses the potentialities of the use of evolutionary algorithms to generate optimized solutions for facade solar orientation. A comparison between three different evolutionary algorithms aiming for solar radiation, inside average temperature allows to conclude the best result versus time consumed. Although under similar results the multi-objective EA represents the best compromise between time and final objective on the case study chosen for the paper. The interconnectivity in real time of BIM and algorithmic modeling softwares represents an advantage for time saving sustainable design decisions.
keywords	BIM; Evolutionary Optimization; Sustainable design
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	cf2019_024
id	cf2019_024
authors	Tuncer, Bige; Francisco Benita, and Francesco Scandola
year	2019
title	Data-driven Thinking for Urban Spaces, Immediate Environment, and Body Responses
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 172-184
summary	This paper presents a methodology to implement data-driven thinking in the context of urban design. We conducted a 7-day workshop with international students from landscape design and architecture backgrounds, with the objective of designing an experimental setup to measure real-time urban spaces, immediate environment, and body responses. The goal of the workshop was to expose participants to data-driven thinking through experimental design, multi-sensor data collection, data analysis, visualization, and insight generation. We made use of mixed methods, including validated pre- and postquestionnaires, and content analyses of the visualizations and results generated by the participants. The evidence suggest that the workshop resulted in an increase in participants’ knowledge about measuring, visualizing and understanding data of the surrounding built environment.
keywords	Data-driven Thinking; Urban sensing; Body responses; Pedagogy; Comfort; Big Data; Design Support
series	CAAD Futures
email
last changed	2019/07/29 14:15

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