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	caadria2019_103
id	caadria2019_103
authors	Silva, Lilian, Silva, Neander and Lacroix, Igor
year	2019
title	Integrating Parametric Modeling with BIM through Generative Programming for the production of NURBS Surfaces and Structures
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 635-644
doi	https://doi.org/10.52842/conf.caadria.2019.1.635
summary	A workflow for integration of parametric modeling with BIM, using generative-programming, is described and tested in this research. The objective is to take advantage of these two distinctive design paradigms. This paper describes a design experiment that required a NURBS roof generated by sweeping profiles along a curved path. We assumed the use of multiple applications, using various file formats, are facts and are unlikely to disappear. Given that interoperability issues will certainly arise, we propose and test a design workflow using parametric modeling, generative programming, and building information modeling. Our major contribution was defining a workflow for designing NURBS surfaces and corresponding supporting structures enhancing interoperability among different applications through generative-programming.
keywords	NURBS; Parametric; Programming; Interoperability; BIM
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2021_203
id	ecaade2021_203
authors	Arora, Hardik, Bielski, Jessica, Eisenstadt, Viktor, Langenhan, Christoph, Ziegler, Christoph, Althoff, Klaus-Dieter and Dengel, Andreas
year	2021
title	Consistency Checker - An automatic constraint-based evaluator for housing spatial configurations
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. 351-358
doi	https://doi.org/10.52842/conf.ecaade.2021.2.351
summary	The gradual rise of artificial intelligence (AI) and its increasing visibility among many research disciplines affected Computer-Aided Architectural Design (CAAD). Architectural deep learning (DL) approaches are being developed and published on a regular basis, such as retrieval (Sharma et al. 2017) or design style manipulation (Newton 2019; Silvestre et al. 2016). However, there seems to be no method to evaluate highly constrained spatial configurations for specific architectural domains (such as housing or office buildings) based on basic architectural principles and everyday practices. This paper introduces an automatic constraint-based consistency checker to evaluate the coherency of semantic spatial configurations of housing construction using a small set of design principles to evaluate our DL approaches. The consistency checker informs about the overall performance of a spatial configuration followed by whether it is open/closed and the constraints it didn't satisfy. This paper deals with the relation of spaces processed as mathematically formalized graphs contrary to existing model checking software like Solibri.
keywords	model checking, building information modeling, deep learning, data quality
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_249
id	ecaadesigradi2019_249
authors	Chiarella, Mauro, Gronda, Luciana and Veizaga, Martín
year	2019
title	RILAB - architectural envelopes - From spatial representation (generative algorithm) to geometric physical optimization (scientific modeling)
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. 17-24
doi	https://doi.org/10.52842/conf.ecaade.2019.3.017
summary	Augmented graphical thinking operates by integrating algorithmic, heuristic, and manufacturing processes. The Representation and Ideation Laboratory (RILAB-2018) exercise begins with the application of a parametric definition developed by the team of teachers, allowing for the construction of structural systems by the means of the combination of segmental shells and bending-active. The main objetive is the construction of a scientific model of simulation for bending-active laminar structures has brought into reality trustworthy previews for architectural envelopes through the interaction of parametrized relational variables. This way we put designers in a strategic role for the building of the pre-analysis models, allowing more preciseness at the time of picking and defining materials, shapes, spaces and technologies and thus minimizing the decisions based solely in the definition of structural typological categories, local tradition or direct experience. The results verify that the strategic integration of models of geometric physical optimization and spatial representation greatly expand the capabilities in the construction of the complex system that operates in the act of projecting architecture.
keywords	architectural envelopes; augmented graphic thinking; geometric optimization; bending-active
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	lasg_whitepapers_2019_111
id	lasg_whitepapers_2019_111
authors	Gruber, Petra
year	2019
title	Living Wall System (LIWAS)
source	Living Architecture Systems Group White Papers 2019 [ISBN 978-1-988366-18-0] Riverside Architectural Press: Toronto, Canada 2019. pp.111 - 122
summary	This proposal is about the design and prototyping of a Living Wall System (LIWAS) as a test bed for integrating concepts from biology into architectural design. The "Living Wall” is a new way of interpreting a wall system that we use in architecture and building. We try to integrate characteristics of living organisms into the wall design to harness some of the intriguing qualities of life into our built surroundings. Living Walls may include flows of water; they may move, adapt geometry and change appearance; they may be inhabited by algae, plants and other organisms and in general be “alive.” The framework of the proposal is the overlap between architectural design and biological research, using biomimicry as a methodology for information transfer between the fields (Image 1).
keywords	living architecture systems group, organicism, intelligent systems, design methods, engineering and art, new media art, interactive art, dissipative systems, technology, cognition, responsiveness, biomaterials, artificial natures, 4DSOUND, materials, virtual projections,
email
last changed	2019/07/29 14:02

_id	ecaadesigradi2019_078
id	ecaadesigradi2019_078
authors	Kim, Eonyong, Jeon, Hyunwoo, Jun, Hanjong and Lee, Seongjoon
year	2019
title	The Development of Architectural Design Environment for BIPV using BIM
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 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 223-232
doi	https://doi.org/10.52842/conf.ecaade.2019.1.223
summary	BIPV is a building integrated photovoltaic power generation system, which is used for building finishing materials, roof, and wall, so there is no need for separate installation space, and the usability is continuously increasing in urban areas with relatively small installation space. And continues to increase. BIPV is a building-integrated type, but the application plan should be made from the early stage of design. However, there is a lack of BIPV related design information. As a result, the possibility of integrating BIPV and building design is reduced and BIPV is applied in a limited range. Method: BIM-based BIPV design process, BIPV installable location, BIPV elevation design factor. And the theory necessary to implement the support model. Lastly, usability was examined using the support model. Result: This study describes a BIM-based design support model for BIPV installed elevation design that designers can apply BIPV installation location planning and design in a BIM environment.
keywords	Building Integrated Photovoltaic System ; Building Information Modelling ; Shadow Analysis ; Array design
series	eCAADeSIGraDi
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	ijac201917206
id	ijac201917206
authors	Ackerman, Aidan; Jonathan Cave, Chien-Yu Lin and Kyle Stillwell
year	2019
title	Computational modeling for climate change: Simulating and visualizing a resilient landscape architecture design approach
source	International Journal of Architectural Computing vol. 17 - no. 2, 125-147
summary	Coastlines are changing, wildfires are raging, cities are getting hotter, and spatial designers are charged with the task of designing to mitigate these unknowns. This research examines computational digital workflows to understand and alleviate the impacts of climate change on urban landscapes. The methodology includes two separate simulation and visualization workflows. The first workflow uses an animated particle fluid simulator in combination with geographic information systems data, Photoshop software, and three-dimensional modeling and animation software to simulate erosion and sedimentation patterns, coastal inundation, and sea level rise. The second workflow integrates building information modeling data, computational fluid dynamics simulators, and parameters from EnergyPlus and Landsat to produce typologies and strategies for mitigating urban heat island effects. The effectiveness of these workflows is demonstrated by inserting design prototypes into modeled environments to visualize their success or failure. The result of these efforts is a suite of workflows which have the potential to vastly improve the efficacy with which architects and landscape architects use existing data to address the urgency of climate change.
keywords	Modeling, simulation, environment, ecosystem, landscape, climate change, sea level rise, urban heat island
series	journal
email
last changed	2019/08/07 14:04

_id	ecaadesigradi2019_498
id	ecaadesigradi2019_498
authors	Bermek, Mehmet Sinan, Shelden, Dennis and Gentry, T. Russel
year	2019
title	A Holistic Approach to Feature-based Structural Mapping in Cross Laminated Timber Buildings
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. 789-796
doi	https://doi.org/10.52842/conf.ecaade.2019.2.789
summary	Mass Engineered Timber products provide a unique opportunity in configuring panelized building systems that are suitable for both prefabrication and onsite customization. The structural nature of these large section elements also brings about the need for a coordinated design-fabrication-assembly workflow. These products can assume different geometric configurations and their behaviour can be approximated globally by simplifying framing schemas. Current BIM Interoperability standards such as STEP or IFC already acknowledge and support the interconnected nature of component properties, yet these Data Models are component focused. Expanding on the relationships between components and using sets to define part to whole, or exteriority relationships could yield a more flexible and agile querying of building information.This would be a framework fit for automated feature derivation and rule based design applications. To this end Graph structures and Graph Databases, alongside existing ontology authoring tools are studied to probe new cognitive possibilities in collaborative AEC workflows
keywords	Graph theory; BIM; CLT; IFC
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

_id	caadria2019_406
id	caadria2019_406
authors	Fitriawijaya, Adam, Hsin-Hsuan, Tsai and Taysheng, jeng
year	2019
title	A Blockchain Approach to Supply Chain Management in a BIM-Enabled Environment
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. 411-420
doi	https://doi.org/10.52842/conf.caadria.2019.2.411
summary	The blockchain is a distributed ledger managed by a peer to peer network that stores all transaction records. The distributed ledger technology offers new possibilities, promising to ensure that data is secure, decentralized and incomparable. In the Architecture, Engineering, Construction (AEC) industry, Building Information Modeling (BIM) has quickly become a standard platform where all parties work together on a single and shared model for collaboration. The issues of Supply Chain Management (SCM) within BIM can be identified in BIM maturity level, based on PAS1193 that developed through Common Data Environment (CDE). The research strategy is to make model and simulation of SCM using BIM and create CDE to become decentralized and integrate the blockchain technology. The smart contract system validates every material and configuration of components within the model from the design stage until the operation stage. Traceability and auditability through an immutable historic eventually be more visible and allow real-time tracking of a material to a construction site providing a history from the origin.
keywords	Blockchain; BIM; Supply Chain
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	ecaadesigradi2019_613
id	ecaadesigradi2019_613
authors	Guedes, Ítalo and Andrade, Max
year	2019
title	Automatic Rule-Based Checking for the Approval of Building Architectural Designs of Airport Passenger Terminals based on BIM
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. 333-338
doi	https://doi.org/10.52842/conf.ecaade.2019.2.333
summary	In Brazil, the evaluation processes of building architectural designs of Airports Passenger Terminal (PT) are carried out manually. It depends on the architects' knowledge, leading to possible errors. On the other hand, the rule checking in BIM-modeled building projects opens up new horizons for this type of activity. Based on Code Checking concepts, this paper presents a method for automating rule checking for building code in building architectural design of PT. Following the aspects of Design Science Research, it is developed in two stages: Construction (theoretical foundation, creating rule checking for the PT, implementation of the rules in BIM softwares for code checking and validation) and Evaluation of artefact. This paper shows a series of problems resulting from the evaluation of PT using traditional methods. It can be concluded that the use of rules for regulatory code checking with BIM allows standardization in the evaluation of architectural design of PT.
keywords	Code Checking; Passenger Terminal; Building Information Modeling; Rule checking
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

_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	ecaadesigradi2019_447
id	ecaadesigradi2019_447
authors	Jutraž, Anja, Kukec, Andreja, Otorepec, Peter, Lampiè, Ladi, Pohleven, Jure, Sandak, Jakub, Malovrh, Katja and Varkonji Sajn, Monika
year	2019
title	Monitoring Environmental and Health Impact Data in BIM Models to Assure Healthy Living Environments
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. 287-294
doi	https://doi.org/10.52842/conf.ecaade.2019.2.287
summary	Health is our wealth and we are rarely aware that the choice of living and working environment affects us. We spend most of our time in indoor environments so the quality of indoor air plays an important role in the maintenance of health and well-being. Moreover, Building Information Modeling (BIM) is emerging technology, which plays an essential role in collaboration among multi-discipline professions, time and cost saving, fabrication and construction as well as facilities management. However, it is not accepted by all planners yet. BIM could also offer a framework to help improving health and well-being of future users of the new building. The main aim of this paper is to monitor environmental and health impact data in BIM models to assure healthy living environments. First, the paper explores which environmental and health parameters could be measured in the indoor environment and which are already present in BIM models. Second, it explores options to expand BIM specifications to support monitoring environmental and health impact data in BIM models to assure healthy living environments.
keywords	Building Information Modeling (BIM); environmental impact data; indoor comfort; health impact data; healthy living environment
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

_id	cf2019_004
id	cf2019_004
authors	Kim, Jinsung; Jaeyeol Song and Jin-Kook Lee
year	2019
title	Recognizing and Classifying Unknown Object in BIM using 2D CNN
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 23
summary	This paper aims to propose an approach to automated classifying building element instance in BIM using deep learning-based 3D object classification algorithm. Recently, studies related to checking or validating engine of BIM object for ensuring data integrity of BIM instances are getting attention. As a part of this research, this paper train recognition models that are targeted at basic building element and interior element using 3D object recognition technique that uses images of objects as inputs. Object recognition is executed in two stages; 1) class of object (e.g. wall, window, seating furniture, toilet fixture and etc.), 2) sub-type of specific classes (e.g. Toilet or Urinal). Using the trained models, BIM plug-in prototype is developed and the performance of this AI-based approach with test BIM model is checked. We expect this recognition approach to help ensure the integrity of BIM data and contribute to the practical use of BIM.
keywords	3D object classification, Building element, Building information modeling, Data integrity, Interior element
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	cf2019_007
id	cf2019_007
authors	Kim, Jong Bum and Bimal Balakrishnan
year	2019
title	Visualize Smart Growth Development with Parametric BIM: A Case Study of Columbia Unified Development Plan
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 26
summary	Smart Growth is a multifaceted urban planning approach that has embraced planning regulation reforms across the municipalities in the United States. Urban planning regulations undoubtedly have formed built environment, but their impact on sustainability is often unforeseen in the early stage of community development. This research investigates an urban modeling framework that can envision Smart Growth development with parametric modeling, Building Information Modeling (BIM), Virtual Reality (VR), and software prototyping. As a pilot test, the paper presents a case study of Downtown Columbia Unified Development Code.
keywords	Smart Growth, Parametric Building Information Modeling, Immersive Visualization, Community Design/ Development
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	caadria2020_431
id	caadria2020_431
authors	Kim, Jong Bum, Balakrishnan, Bimal and Aman, Jayedi
year	2020
title	Environmental Performance-based Community Development - A parametric simulation framework for Smart Growth development in the United States
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. 873-882
doi	https://doi.org/10.52842/conf.caadria.2020.1.873
summary	Smart Growth is an urban design movement initiated by Environmental Protection Agency (EPA) in the United States (Smart Growth America, 2019). The regulations of Smart Growth control urban morphologies such as building height, use, position, section configurations, faÃ§ade configurations, and materials, which have an explicit association with energy performances. This research aims to analyze and visualize the impact of Smart Growth developments on environmental performances. This paper presents a parametric modeling and simulation framework for Smart Growth developments that can model the potential community development scenarios, simulate the environmental footprints of each parcel, and visualize the results of modeling and simulation. We implemented and examined the proposed framework through a case study of two Smart Growth regulations: Columbia Unified Development Code (UDC) in Missouri (City of Columbia Missouri, 2017) and Overland Park Downtown Form-based Code (FBC) in Kansas City (City of Overland Park, 2017, 2019). Last, we discuss the implementation results, the limitations of the proposed framework, and the future work. We anticipate that the proposed method can improve stakeholders' understanding of how Smart Growth developments are associated with potential environmental footprints from an expeditious and thorough exploration of what-if scenarios of the multiple development schemes.
keywords	Smart Growth; Building Information Modeling (BIM); Parametric Simulation; Solar Radiation
series	CAADRIA
email
last changed	2022/06/07 07:52

_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	ecaade2023_227
id	ecaade2023_227
authors	Moorhouse, Jon and Freeman, Tim
year	2023
title	Towards a Genome for Zero Carbon Retrofit of UK Housing
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 197–206
doi	https://doi.org/10.52842/conf.ecaade.2023.2.197
summary	The United Kingdom has some of the worst insulated housing stock in Northern Europe. This is in part due to the age of housing in the UK, with over 90% being built before 1990 [McCrone 2017, Piddington 2020]. Moreover, 85% of current UK housing will still be in use in 2050 by which stage their Government are targeting Net Carbon Zero [Eyre 2019]. Domestic energy use accounts for around 25% of UK carbon emissions. The UK will need to retrofit 20 million dwellings in order to meet this target. If this delivery were evenly spread, it would equate to over 2,000 retrofit completions each day. Government-funded initiatives are stimulating the market, with upwards of 60,000 social housing retrofits planned for 2023, but it is clear that a system must be developed to enable the design and implementation of housing-stock improvement at a large scale.This paper charts the 20-year development of a digital approach to the design for low-carbon domestic retrofit by architects Constructive Thinking Studio Limited and thence documents the emergence of a collaborative approach to retrofit patterns on a National scale. The author has led the Research and Development stream of this practice, developing a Building Information Modelling methodology and integrated Energy Modelling techniques to optimise design for housing retrofit [Georgiadou 2019, Ben 2020], and then inform a growing palette of details and a database of validated solutions [Moorhouse 2013] that can grow and be used to predict options for future projects [D’Angelo 2022]. The data is augmented by monitoring energy and environmental performance, enabling a growing body of knowledge that can be aligned with existing big data to simulate the benefits of nationwide stock improvement. The paper outlines incremental case studies and collaborative methods pivotal in developing this work The proposed outcome of the work is a Retrofit Genome that is available at a national level.
keywords	Retrofit, Housing, Zero-Carbon, BIM, Big Data, Design Genome
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaadesigradi2019_478
id	ecaadesigradi2019_478
authors	Nardelli, Eduardo Sampaio
year	2019
title	BIM training in Brazil - Preparing professionals for BIM adoption by public administration
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. 305-314
doi	https://doi.org/10.52842/conf.ecaade.2019.2.305
summary	On May 2018 the Brazilian federal government published the Decree 9.377 setting a National Strategy for Information and Dissemination of Building Information Modelling - BIM to enable its adoption by public administration. This strategy has nine targets and among them the task of training professionals in BIM to support the demand that should be generated. A period between 2018 and 2021 has been planned to establish learning objectives and develop model disciplines, a process that, however, should not start from scratch because there are already some BIM training initiatives being performed in the country since the early 2000s. This paper has done an overview on this production highlighting some relevant conceptual contributions to this debate aiming to address challenges and possible ways to support the expected Architectural and Engineering courses restructuring.
keywords	BIM, Education, Architecture, Engineering and Construction
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:58

_id	caadria2019_365
id	caadria2019_365
authors	Natephra, Worawan and Motamedi, Ali
year	2019
title	BIM-based Live Sensor Data Visualization using Virtual Reality for Monitoring Indoor Conditions
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. 191-200
doi	https://doi.org/10.52842/conf.caadria.2019.2.191
summary	This paper proposes a method for an automated live sensor data visualization of building indoor environment conditions using a VR system. The proposed method is based on the integration of environmental sensors, BIM, and VR technology. Such integration provides an opportunity to utilize an immersive and live sensing technology for improving data visualization. In our case study, the environmental data, such as indoor air temperature, humidity, and light level are captured by sensors connected to Arduino microcontrollers. The data output of sensors obtained from Arduino units are stored onto the BIM model and transferred to the developed VR system. The developed system simultaneously visualizes numerical values of sensors' reading together with the virtual model of the building in a VR headset. The result of the case study showed that the developed system is capable of visualizing various indoor environmental information of the building with the VR technology. It can provide users with useful information to help monitoring indoor thermal comfort conditions of the building in real-time, while performing the walkthrough in the virtual environment.
keywords	Building Information Modeling (BIM); environmental sensor; thermal comfort; Virtual Reality (VR); Arduino; IoT
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	acadia19_532
id	acadia19_532
authors	Retsin, Gilles
year	2019
title	Toward Discrete Architecture: Automation Takes Command
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. 532-541
doi	https://doi.org/10.52842/conf.acadia.2019.532
summary	This paper describes a framework for discrete computational design and fabrication in the context of automation. Whereas digital design and fabrication are technical notions, automation immediately has societal and political repercussions. Automation relates to industrialization and mechanisation—allowing to historically reconnect the digital while bypassing the post-modern, deconstructivist, or parametric decades. Using a series of built prototypes making use of timber, this paper will describe how the combined technologies of automation and discreteness enable both technical efficiencies and new architectural interest. Both projects are based on timber sheet materials, cut and folded into larger elements that are then assembled into functional structures. Both projects are also fragments of larger housing blocks. Discrete building blocks are presented from a technical perspective as occupying a space in between programmable matter and modular prefabrication. Timber is identified as an ideal material for automated discrete construction. From an architectural perspective, the paper discusses the implications of an architecture based on parts that remain autonomous from the whole.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:56

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