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	ecaade2021_208
id	ecaade2021_208
authors	Rodríguez Hernández, José Luis, Cortes Perez, Juan Pedro, Gradisar, Luka and Figueiredo, Bruno
year	2021
title	Structural Grid Predesign using Generative Design for Residential Building with Steel Structure on BIM Models - Structural grid predesign using generative design
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 59-66
doi	https://doi.org/10.52842/conf.ecaade.2021.2.059
summary	Due to the more significant architectural complexity, it is helpful to include structural analysis studies in the early design stages. An architectural team typically carries out the structural grid fit in this phase. This limitation may lead to the structural distribution in the initial phase not being the most appropriate. This work aims to provide a tool for architects oriented design by optimising the cost of the structure, making an initial layout for residential buildings with the regular shape of steel structures using the generative design, which allows the creation of structural BIM models that comply with the requirements of stability and resistance for gravity design specified in the American code ASCE 360 as starting point on the conceptual design. The paper describes the computational design development for the structural building grid using multi-criteria optimisation solved by a genetic algorithm.
keywords	Generative Design; Building Information Modelling (BIM); Structural Predesign; Structural Grid; Multi-Objective Optimisation
series	eCAADe
email
last changed	2022/06/07 07:56

_id	caadria2021_043
id	caadria2021_043
authors	Ng, Provides
year	2021
title	21E8: Coupling Generative Adversarial Neural Networks (GANS) with Blockchain Applications in Building Information Modelling (BIM) Systems
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 111-120
doi	https://doi.org/10.52842/conf.caadria.2021.2.111
summary	The ability of GANs to synthesize large sets of data is ideal for coupling with BIM to formulate a multi-access system that enables users to search and browse through a spectrum of articulated options, all personalised to design specificity - an 'Architecture Machine'. Nonetheless, due to challenges in proprietary incompatibility, BIM systems currently lack a secured yet transparent way of freely integrating with crowdsourced efforts. This research proposes to employ blockchain as a means to couple GANs and BIM, with e8 networking topology to facilitate communication and distribution. It consists of a literature review and a design research that proposes a tech stack design and UML (unified modeling language) use cases, and presents preliminary design results obtained using GANs and e8.
keywords	21e8; GANs; Blockchain; BIM; Architecture Machine
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	ijac202119202
id	ijac202119202
authors	Ostrowska-Wawryniuk, Karolina
year	2021
title	Prefabrication 4.0: BIM-aided design of sustainable DIY-oriented houses
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 2, 142–156
summary	In the context of continuous housing shortage, increasing construction standards and rising labour costs, one of the possibilities to address this array of problems is prefabrication directed towards do-it-yourself (DIY) construction methods. This paper presents a prototype tool for aiding the design of DIY-oriented single-family houses with the use of small-element timber prefabrication. The introduced solution uses the potential of BIM technology for adapting a traditionally designed house to the prefabrication requirements and reduction of waste generated in the assembly process. The experimental tool was developed in the Autodesk Revit software. It incorporates custom Dynamo-for-Revit scripts. The experimental tool implemented the user- and technology-specified boundary conditions and converted an input BIM model into a prefabricated alternative. The tool was tested on the design of a two-story single-family house. The results compare the automated optimized panelization with manual approach. The simulation revealed the possibility of the construction waste reduction by at least 50% when comparing to the non-optimized panelization.
keywords	DIY construction, prefabricated house, timber prefabrication, small-panel prefabrication, BIM-aided panelization, Building Information Modelling
series	journal
email
last changed	2024/04/17 14:29

_id	ecaade2021_130
id	ecaade2021_130
authors	Alassaf, Nancy and Clayton, Mark
year	2021
title	The Use of Diagrammatic Reasoning to Aid Conceptual Design in Building Information Modeling (BIM)
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 39-48
doi	https://doi.org/10.52842/conf.ecaade.2021.2.039
summary	Architectural design is an intellectual activity where the architect moves from the abstract to the real. In this process, the abstract represents the logical reasoning of how architectural form is configured or structured, while the real refers to the final physical form. Diagrams become an integral part of the conceptual design stage because they mediate between those two realms. Building Information Modeling (BIM) can reallocate the effort and time to emphasize conceptual design. However, many consider BIM a professionally-oriented tool that is less suitable for the early design stages. This research suggests that architectural design reasoning can be achieved using constraint-based parametric diagrams to aid conceptual design in BIM. The study examines several techniques and constructs a framework to use diagrams in the early design stages. This framework has been investigated through Villa Stein and Citrohan House by Le Corbusier. This study addresses two roles of diagrams: the generative role to create various design solutions and the analytical one to conduct an early performance study of the building. Our research contributes to the discussion on the ways designers can use digital diagrams to support the architectural design process.
keywords	Building Information Modeling (BIM); Performance analysis ; Architectural Form; Diagram; Parametric modeling
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ijac202119203
id	ijac202119203
authors	Dounas, Theodoros; Davide Lombardi, Wassim Jabi
year	2021
title	Framework for decentralised architectural design BIM and Blockchain integration
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 2, 157–173
summary	The paper introduces a framework for decentralised architectural design in the context of the fourth industrial revolution. We examine first the constraints of building information modelling in regard to collaboration and trust. We then introduce Blockchain infrastructure as a means for creating new operational and business models for architectural design, through project governance, scaling collaboration nominally to thousands of agents, and shifting trust to the infrastructure rather than the architectural design team. Through a wider consideration of Blockchains in construction projects we focus on the design process and validate our framework with a prototype of BIM design optimisation integrated with a Blockchain mechanism. The paper concludes by outlining the contributions our framework can enhance in the building information modelling processes, within the context of the fourth industrial revolution.
keywords	Blockchain, Building Information Modelling, trust, design collaboration, governance, Integrated Project Delivery, incentives, Ethereum
series	journal
email
last changed	2024/04/17 14:29

_id	ijac202119407
id	ijac202119407
authors	Haeusler, Matthias H.; Gardner, Nicole; Yu, Daniel K.; Oh, Claire; Huang, Blair
year	2021
title	(Computationally) designing out waste: Developing a computational design workflow for minimising construction and demolition waste in early-stage architectural design
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 4, 594–611
summary	In the architecture, engineering and construction (AEC) industry, waste is oft framed as an economic problemtypically addressed in a building’s construction and demolition phase. Yet, architectural design decision-making can significantly determine construction waste outcomes. Following the logic of zero waste, thisresearch addresses waste minimisation‘at the source’. By resituating the problem of construction wastewithin the architectural design process, the research explores waste as a data and informational problem in adesign system. Accordingly, this article outlines the creation of an integrated computational design decisionsupport waste tool that employs a novel data structure combining HTML-scraped material data and historicbuilding information modelling (BIM) data to generate waste evaluations in a browser-based 3D modellingplatform. Designing an accessible construction waste tool for use by architects and designers aims to heightenawareness of the waste implications of design decisions towards challenging the systems of consumption andproduction that generate construction and demolition waste.
keywords	Construction and demolition waste, waste minimisation, zero waste, BIM databases, design process, designmanagement, web scraping, computational design, software product development
series	journal
email
last changed	2024/04/17 14:29

_id	ecaade2021_215
id	ecaade2021_215
authors	Slotina, Kristine, Hensel, Michael U. and Hjelseth, Eilif
year	2021
title	Techno-Anthropological Inquiry into VDC Impact on Expert Collaboration in the AEC Industry - Interdisciplinary interactions through Virtual Design and Construction (VDC)
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 151-160
doi	https://doi.org/10.52842/conf.ecaade.2021.1.151
summary	In the architecture, engineering and construction industry (AEC) the transfer of knowledge and information through sharing, cooperation and collaboration serves to manage the inherent complexity of projects. Inter- and transdisciplinary teams including architects, engineers, consultants, contractors, suppliers and building owners, require shared design processes and understanding. Virtual Design and Construction (VDC) is part of how architectural information and knowledge is transferred through integrated processes. As part of an ongoing research this conference paper employs a Techno-Anthropological perspective to map existing research on the subject, to identify research gaps and to suggest further research. Given the ongoing changes the AEC industry is undergoing, we believe that Techno-Anthropology can contribute to systematic analysis and understanding of human-technology interactions. This research examines how VDC impacts upon the output of processes and how it affects the way interdisciplinary teams in AEC industry conceptualize and configure outputs.
keywords	Techno-Anthropology; Virtual Design and Construction (VDC); Building Information Modelling (BIM); knowledge transfer; collaboration; configurability
series	eCAADe
email
last changed	2022/06/07 07:56

_id	caadria2021_194
id	caadria2021_194
authors	Sun, Chengyu, Li, MengTing and Jiang, Hanchen
year	2021
title	Developing an Automatic Code Checking System for the Urban Planning Bureau of Huangpu District in Shanghai
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 291-300
doi	https://doi.org/10.52842/conf.caadria.2021.1.291
summary	As Chinese cities entering a so-called organic renewal era, building projects runs with much more constraints from high-density and high-rise surroundings. Such a situation makes the technical review in any urban planning bureau time-consuming and error-prone, which conflicts with the developers profits and citizens rights. This study introduces a preliminary system being developed for the planning bureau of Huangpu District, Shanghai. It has covered 21 code items among 44 computational ones of the local planning codes last year, which automatically generates technical reviews upon developers submissions. Due to the feasible level of BIM application in domestic projects, a set of strategic approaches, such as the standardization of CAD drawings and the reconstruction of an internal building information model, are adopted rather than developing the system on any BIM platform directly. Two examples of technical reviews about distance-checking between buildings and length-checking of facades are demonstrated, in which officers reached confidential judgments in seconds rather than several days conventionally.
keywords	Planning Constraints; Code Checking; 3D Reconstruction; Design Automation; Building Information Model
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2021_171
id	ecaade2021_171
authors	Woessner, Uwe, Kieferle, Joachim and Djuric, Marko
year	2021
title	Operating Room Design with BIM, VR, AR, and Interactive Simulation
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 49-58
doi	https://doi.org/10.52842/conf.ecaade.2021.2.049
summary	Operating room design is a complex planning task. In order to jointly find the best solution, specialists from numerous professions are involved in the planning process, since e.g. equipment layout and airflow is crucial for optimal surgical procedures. For a better and more informed discussion, and thus better optimization and firm decisions, we have developed a method linking BIM (Building Information Modelling), VR (Virtual Reality), AR (Augmented Reality), CFD (Computational Fluid Dynamics) simulation, and a tangible user interface, so that freely configurable layouts can be tested interactively, be discussed, and optimized both in model and 1:1 scale already in early planning phases. This method has been applied to a hospital design with 33 new operating rooms, differing in sizes as well as layouts according to the different types of operations.
keywords	Operating Room Design; Interactive Simulation; Virtual Reality; Augmented Reality; Tangible User Interface; BIM
series	eCAADe
email
last changed	2022/06/07 07:57

_id	caadria2021_161
id	caadria2021_161
authors	Zhao, Xin, Han, Yunsong and Shen, Linhai
year	2021
title	Multi-objective Optimisation of a Free-form Building Shape to improve the Solar Energy Utilisation Potential using Artificial Neural Networks
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 221-230
doi	https://doi.org/10.52842/conf.caadria.2021.1.221
summary	Optimisation of free-form building design is more challenging in terms of building information modelling and performance evaluation compared to conventional buildings. The paper provides a Photogrammetry-based BIM Modelling - Machine Learning Modelling - Multi-objective Optimisation framework to improve the solar energy utilisation potential of free-form buildings. Low altitude photogrammetry is used to collect the building and site environmental information. An ANN prediction model is developed using the control point coordinates and simulation data. Through parametric programming, the multi-objective algorithm is coupled with the ANN model to obtain the trade-off optimal building form. The results show that the maximum solar radiation value in winter can increase by 30.60% and the minimum solar radiation in summer can decrease by 13.99%. It is also shown that the integration of ANN modelling and photogrammetry-based BIM modelling into the multi-objective optimisation method can accelerate the optimisation process.
keywords	Multi-objective optimisation; Artificial neural network; Free-form shape building ; Solar energy utilisation
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2021_113
id	caadria2021_113
authors	Fink, Theresa, Vuckovic, Milena and Petkova, Asya
year	2021
title	KPI-Driven Parametric Design of Urban Systems
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 579-588
doi	https://doi.org/10.52842/conf.caadria.2021.2.579
summary	We present a framework for data-driven algorithmic generation and post-evaluation of alternative urban developments. These urban developments are framed by a strategic placement of diverse urban typologies whose spatial configurations follow design recommendations outlined in existing building and zoning regulations. By using specific rule-based generative algorithms, different spatial arrangements of these urban typologies, forming building blocks, are derived and visualized, given the aforementioned spatial, legal, and functional regulations. Once the envisioned urban configurations are generated, these are evaluated based on a number of aspects pertaining to spatial, economic, and thermal (environmental) dimensions, which are understood as the key performance indicators (KPIs) selected for informed ranking and evaluation. To facilitate the analysis and data-driven ranking of derived numeric KPIs, we deployed a diverse set of analytical techniques (e.g., conditional selection, regression models) enriched with visual interactive mechanisms, otherwise known as the Visual Analytics (VA) approach. The proposed approach has been tested on a case study district in the city of Vienna, Austria, offering real-world design solutions and assessments.
keywords	Urban design evaluation; parametric modelling; urban simulation; environmental performance; visual analytics
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2021_117
id	caadria2021_117
authors	Ikeno, Kazunosuke, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2021
title	Can a Generative Adversarial Network Remove Thin Clouds in Aerial Photographs? - Toward Improving the Accuracy of Generating Horizontal Building Mask Images for Deep Learning in Urban Planning and Design
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 377-386
doi	https://doi.org/10.52842/conf.caadria.2021.2.377
summary	Information extracted from aerial photographs is widely used in the fields of urban planning and architecture. An effective method for detecting buildings in aerial photographs is to use deep learning to understand the current state of a target region. However, the building mask images used to train the deep learning model must be manually generated in many cases. To overcome this challenge, a method has been proposed for automatically generating mask images by using textured 3D virtual models with aerial photographs. Some aerial photographs include thin clouds, which degrade image quality. In this research, the thin clouds in these aerial photographs are removed by using a generative adversarial network, which leads to improvements in training accuracy. Therefore, the objective of this research is to propose a method for automatically generating building mask images by using 3D virtual models with textured aerial photographs to enable the removable of thin clouds so that the image can be used for deep learning. A model trained on datasets generated by the proposed method was able to detect buildings in aerial photographs with an accuracy of IoU = 0.651.
keywords	Urban planning and design; Deep learning; Generative Adversarial Network (GAN); Semantic segmentation; Mask image
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2021_242
id	caadria2021_242
authors	Joe, Joshua and Pelosi, Antony
year	2021
title	PARAMTR v2 - Human-Generative Design tools for prefabricating large-scale residential developments.
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 41-50
doi	https://doi.org/10.52842/conf.caadria.2021.1.041
summary	Designers are encountering more issues with complexity, scale and performance requirements increase in residential projects. Prefabrication and generative design tools have the potential to significantly reduce construction time, cost, and material waste at scale. Building upon existing research, this paper further investigates how human-generative design tools can improve building performance and feasibility of prefabrication at scale whilst encouraging design variance. In this context, human-generative design tools refer to a partially algorithmic design tool that facilitates an open-box, collaborative approach to design. Following initial research-based design, a new human-generative tool was created (PARAMTR) to address the aforementioned issues using a design-based research methodology. Based on the research performed during the literature review and from initial design results, PARAMTR shows the potential to halve construction time on residential projects in combination with increased manufacturing efficiency. Design outputs share no design commonality, yet use almost 10 times less unique components across four houses when compared to existing residential projects. In combination with the overall benefits discussed and associated with prefabrication, material waste, cost, design time and complexity are expected to be reduced. The paper will discuss further progress towards designing and building smarter homes at scale.
keywords	generative design; generative prefabrication; parametric; residential; prefabrication
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	ijac202119310
id	ijac202119310
authors	Schwartz, Yair; Raslan, Rokia; Korolija, Ivan; Mumovic, Dejan
year	2021
title	A decision support tool for building design: An integrated generative design, optimisation and life cycle performance approach
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 3, 401–430
summary	Building performance evaluation is generally carried out through a non-automated process, where computational models are iteratively built and simulated, and their energy demand is calculated. This study presents a computational tool that automates the generation of optimal building designs in respect of their Life Cycle Carbon Footprint (LCCF) and Life Cycle Costs (LCC). This is achieved by an integration of three computational concepts: (a) A designated space-allocation generative-design application, (b) Using building geometry as a parameter in NSGA-II optimization and (c) Life Cycle performance (embodied carbon and operational carbon, through the use of thermal simulations for LCCF and LCC calculation). Examining the generation of a two-storey terrace house building, located in London, UK, the study shows that a set of building parameters combinations that resulted with a pareto front of near-optimal buildings, in terms of LCCF and LCC, could be identified by using the tool. The study shows that 80% of the optimal building’s LCCF are related to the building operational stage (o= 2), while 77% of the building’s LCC is related to the initial capital investment (o= 2). Analysis further suggests that space heating is the largest contributor to the building’s emissions, while it has a relatively low impact on costs. Examining the optimal building in terms compliance requirements (the building with the best operational performance), the study demonstrated how this building performs poorly in terms of Life Cycle performance. The paper further presents an analysis of various life-cycle aspects, for example, a year-by-year performance breakdown, and an investigation into operational and embodied carbon emissions.
keywords	Generative design, genetic algorithms, thermal simulation, life cycle, carbon, LCA, NSGA-II, building performance
series	journal
email
last changed	2024/04/17 14:29

_id	acadia21_122
id	acadia21_122
authors	Velikov, Kathy; Hasan, Kazi Najeeb; del Campo, Matias; Xie, Ruxin; Denit, Lucas; Boyce, Brent
year	2021
title	Design Engine
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 122-133.
doi	https://doi.org/10.52842/conf.acadia.2021.122
summary	Generative design offers the possibility to heuristically explore data-driven design iterations during the design process. This enables performance-informed feedback and the possibility for exploring viable options with stakeholders earlier in the design process. Since architectural design is a complex, nonlinear process that requires trade-offs and compromises among multiple requirements, many of which are in conflict with each other, a multi-objective solver provides a spectrum of possible solutions without converging on a single optimized individual. This enables a more informed design possibility space that is open to collaborative decision-making. This paper describes the development of a custom multi-objective generative design workflow to visualize families of possible future building typologies with a focus on the impact of site, form, envelope performance, and glazing. Three future design scenarios are generated for three urban U.S. locations projected to grow and where progressive environmental performance stretch codes have been adopted. Drivers such as plausible site, procurement, financing, value chain, and construction typology inform possibilities for built form, envelope technologies, and performance in relation to local codes, environment, and occupant health, are transformed into design inputs through urban, spatial and environmental simulation tools for a "building design generator," or a multi-objective optimizer tool that produces an array of possible building massing and schematic envelope design options. The paper concludes with pointing out some of the gaps in data of current evaluation tools, the need for interoperability across platforms, and this points to multiple trajectories of future research in this area.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ascaad2021_017
id	ascaad2021_017
authors	Abouhadid, Mariam
year	2021
title	Affective Computing in Space Design: A Review of Literature of Emotional Comfort Tools and Measurements
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 330-340
summary	Architecture Digital Platforms are capable of creating buildings that provide comfort that meets human thermal, acoustic and visual needs. However, some building technologies can choose the physical energy arena of the building on the expense of the mentioned aspects of human comfort. Nevertheless, aspects like emotional and psychological human comfort exist in limited studies practiced in interior design, or in active design of public spaces and on the landscape and urban scale. It is not mandatory in building design: How different spaces affect humans and what makes an environment stressful or not. Study gathers literature theoretically and categorizes it per topic: 1) Affective computing Introduction and uses, 2) Human responses to different stimulus and environments, 3) Factors that affect humans, 4) Technologies like brain imaging and Galvanic Skin Response (GSR) that are used to measure human anxiety levels, as well as blood pressure and other indications on the person’s well-being, and some 5) Case Studies. Affective computing can be an addition to different pre- design analysis made to a project. Different areas of comfort like space dimensions, height, colour and shape can be the start of coding “Human Comfort” analysis software. Study has been restricted to previous research, and can be expanded further to experimentation. Future work aims to code it into Building Information Modelling Software.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	caadria2021_006
id	caadria2021_006
authors	Agirachman, Fauzan Alfi and Shinozaki, Michihiko
year	2021
title	VRDR - An Attempt to Evaluate BIM-based Design Studio Outcome Through Virtual Reality
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 223-232
doi	https://doi.org/10.52842/conf.caadria.2021.2.223
summary	During the COVID-19 pandemic situation, educational institutions were forced to conduct all academic activities in distance learning formats, including the architecture program. This act barred interaction between students and supervisors only through their computers screen. Therefore, in this study, we explored an opportunity to utilize virtual reality (VR) technology to help students understand and evaluate design outcomes from an architectural design studio course in a virtual environment setting. The design evaluation process is focused on building affordance and user accessibility aspect based on the design objectives that students must achieve. As a result, we developed a game-engine based VR system called VRDR for evaluating design studio outcomes modeled as Building Information Modeling (BIM) models.
keywords	virtual reality; building information modeling; building affordance; user accessibility; architectural education
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	sigradi2021_50
id	sigradi2021_50
authors	Albuquerque, Dilson and Andrade, Max
year	2021
title	The Impacts of Collaboration and Cordination of Architectural and Engineering Projects Developed with BIM in Reducing Design Interferences
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 783–794
summary	This paper addresses the importance and development of cultural transformations involving the design process in architecture and the advent of Building Information Modeling (BIM) in civil construction activities and how its implementation in a coordinated, collaborative and interoperable way contributes to a diagnosis of Clash Detection between diferentes design projects, before building construction, saving excessive costs and rework. Taking as its main reference the BIM Maturity Matrix of Succar (2009), the proposed BIM Project Integration Maturity Matrix contributes to the awareness of bringing designers and builders closer to design activities, to encourage the integration of design processes involving the building, to consolidate an environment of ease of communication between participants, the organization of documentation and, above all, prioritize the compatibility between projects to avoid conflicts, excess costs and rework, resulting in a higher quality of the final project.
keywords	Coordenaçao de projetos, detecçao de interferencias, Building Information Modeling, matriz de avaliaçao, projeto integrado
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	acadia21_238
id	acadia21_238
authors	Anifowose, Hassan; Yan, Wei; Dixit, Manish
year	2021
title	BIM LOD + Virtual Reality
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 238-245.
doi	https://doi.org/10.52842/conf.acadia.2021.238
summary	Architectural Education faces limitations due to its tactile approach to learning in classrooms with only 2-D and 3-D tools. At a higher level, virtual reality provides a potential for delivering more information to individuals undergoing design learning. This paper investigates a hypothesis establishing grounds towards a new research in Building Information Modeling (BIM) and Virtual Reality (VR). The hypothesis is projected to determine best practices for content creation and tactile object virtual interaction, which potentially can improve learning in architectural & construction education with a less costly approach and ease of access to well-known buildings. We explored this hypothesis in a step-by-step game design demonstration in VR, by showcasing the exploration of the Farnsworth House and reproducing assemblage of the same with different game levels of difficulty which correspond with varying BIM levels of development (LODs). The game design prototype equally provides an entry way and learning style for users with or without a formal architectural or construction education seeking to understand design tectonics within diverse or cross-disciplinary study cases. This paper shows that developing geometric abstract concepts of design pedagogy, using varying LODs for game content and levels, while utilizing newly developed features such as snap-to-grid, snap-to-position and snap-to-angle to improve user engagement during assemblage may provide deeper learning objectives for architectural precedent study.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ijac202119101
id	ijac202119101
authors	Budig, Michael; Oliver Heckmann, Markus, Hudert, Amanda Qi Boon Ng, Zack Xuereb Conti, and Clement Jun Hao Lork
year	2021
title	Computational screening-LCA tools for early design stages
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 1, 6–22
summary	Life Cycle Assessment (LCA) has been widely adopted to identify the Global Warming Potential (GWP) in the construction industry and determine its high environmental impact through Greenhouse Gas (GHG) emissions, energy and resource consumptions. The consideration of LCA in the early stages of design is becoming increasingly important as a means to avoid costly changes at later stages of the project. However, typical LCA-based tools demand very detailed information about structural and material systems and thus become too laborious for designers in the conceptual stages, where such specifications are still loosely defined. In response, this paper presents a workflow for LCA-based evaluation where the selection of the construction system and material is kept open to compare the impacts of alternative design variants. We achieve this through a strict division into support and infill systems and a simplified visualization of a schematic floor layout using a shoebox approach, inspired from the energy modelling domain. The shoeboxes in our case are repeatable modules within a schematic floor plan layout, whose enclosures are defined by parametric 2D surfaces representing total ratios of permanent supports versus infill components. Thus, the assembly of modular surface enclosures simplifies the LCA evaluation process by avoiding the need to accurately specify the physical properties of each building component across the floor plan. The presented workflow facilitates the selection of alternative structural systems and materials for their comparison, and outputs the Global Warming Potential (GWP) in the form of an intuitive visualization output. The workflow for simplified evaluation is illustrated through a case study that compares the GWP for selected combinations of material choice and construction systems.
keywords	Computational life cycle assessment tool, embodied carbon, parametric design, construction systems, global warming potential
series	journal
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last changed	2021/06/03 23:29

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