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	ecaade2017_085
id	ecaade2017_085
authors	Agustí-Juan, Isolda, Hollberg, Alexander and Habert, Guillaume
year	2017
title	Integration of environmental criteria in early stages of digital fabrication
doi	https://doi.org/10.52842/conf.ecaade.2017.2.185
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 185-192
summary	The construction sector is responsible for a big share of the global energy, resource demand and greenhouse gas emissions. As such, buildings and their designers are key players for carbon mitigation actions. Current research in digital fabrication is beginning to reveal its potential to improve the sustainability of the construction sector. To evaluate the environmental performance of buildings, life cycle assessment (LCA) is commonly employed. Recent research developments have successfully linked LCA to CAD and BIM tools for a faster evaluation of environmental impacts. However, these are only partially applicable to digital fabrication, because of differences in the design process. In contrast to conventional construction, in digital fabrication the geometry is the consequence of the definition of functional, structural and fabrication parameters during design. Therefore, this paper presents an LCA-based method for design-integrated environmental assessment of digitally fabricated building elements. The method is divided into four levels of detail following the degree of available information during the design process. Finally, the method is applied to the case study "Mesh Mould", a digitally fabricated complex concrete wall that does not require any formwork. The results prove the applicability of the method and highlight the environmental benefits digital fabrication can provide.
keywords	Digital fabrication; Parametric LCA; Early design; Sustainability
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2017_097
id	ecaade2017_097
authors	Chronis, Angelos, Dubor, Alexandre, Cabay, Edouard and Roudsari, Mostapha Sadeghipour
year	2017
title	Integration of CFD in Computational Design - An evaluation of the current state of the art
doi	https://doi.org/10.52842/conf.ecaade.2017.1.601
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 601-610
summary	The integration of building performance feedback in the design process is increasingly considered as a key aspect of the decision support framework that drives current high performance architecture, from early conception to fabrication. Although on other aspects of building performance there has been significant recent development on BPS integration in computational design, the integration of CFD is still largely unexplored, despite its significance in numerous design problems. This paper reviews the current state of advancement of integrated CFD simulation tools in computational design frameworks by evaluating three different integration approaches, each representing a different level of integration of CFD solvers within the commonly used computational design frameworks today. The objective of the study is neither to provide an extensive evaluation of all available CFD frameworks nor to assess the specific performance of the problem at hand, but rather to evaluate the potential and limitations of each integration approach from the perspective of the computational design user.
keywords	Computational Fluid Dynamics; Simulation; Integration; Computational Design
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2017_044
id	ecaade2017_044
authors	Fernando, Shayani, Reinhardt, Dagmar and Weir, Simon
year	2017
title	Simulating Self Supporting Structures - A Comparison study of Interlocking Wave Jointed Geometry using Finite Element and Physical Modelling Methods
doi	https://doi.org/10.52842/conf.ecaade.2017.2.177
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 177-184
summary	Self-supporting modular block systems of stone or masonry architecture are amongst ancient building techniques that survived unchanged for centuries. The control over geometry and structural performance of arches, domes and vaults continues to be exemplary and structural integrity is analysed through analogue and virtual simulation methods. With the advancement of computational tools and software development, finite and discrete element modeling have become efficient practices for analysing aspects for economy, tolerances and safety of stone masonry structures. This paper compares methods of structural simulation and analysis of an arch based on an interlocking wave joint assembly. As an extension of standard planar brick or stone modules, two specific geometry variations of catenary and sinusoidal curvature are investigated and simulated in a comparison of physical compression tests and finite element analysis methods. This is in order to test the stress performance and resilience provided by three-dimensional joints respectively through their capacity to resist vertical compression, as well as torsion and shear forces. The research reports on the threshold for maximum sinusoidal curvature evidenced by structural failure in physical modelling methods and finite element analysis.
keywords	Mortar-less; Interlocking; Structures; Finite Element Modelling; Models
series	eCAADe
email
last changed	2022/06/07 07:50

_id	acadia17_284
id	acadia17_284
authors	Hu, Zhengrong; Park, Ju Hong
year	2017
title	HalO [Indoor Positioning Mobile Platform]: A Data-Driven, Indoor-Positioning System With Bluetooth Low Energy Technology To Datafy Indoor Circulation And Classify Social Gathering Patterns For Assisting Post Occupancy Evaluation
doi	https://doi.org/10.52842/conf.acadia.2017.284
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 284-291
summary	Post-Occupancy Evaluation (POE) as an integrated field between architecture and sociology has created practical guidelines for evaluating indoor human behavior within a built environment. This research builds on recent attempts to integrate datafication and machine learning into POE practices that may one day assist Building Information Modeling (BIM) and multi-agent modeling. This research is based on two premises: 1) that the proliferation of Bluetooth Low Energy (BLE) technology allows us to collect a building user’s data cost-effectively and 2) that the growing application of machine learning algorithms allows us to process, analyze and synthesize data efficiently. This study illustrates that the mobile platform HalO can serve as a generic tool for datafication and automation of data analysis of the movement of a building user. In this research, the iOS mobile application HalO, combined with BLE beacons enable building providers (architects, developers, engineers and facility managers etc.) to collect the user’s indoor location data. Triangulation was used to pinpoint the user’s indoor positions, and k-means clustering was applied to classify users into different gathering groups. Through four research procedures—Design Intention Analysis, Data Collection, Data Storage and Data Analysis—the visualized and classified data helps building providers to better evaluate building performance, optimize building operations and improve the accuracy of simulations.
keywords	design methods; information processing; data mining; IoT; AI; machine learning
series	ACADIA
email
last changed	2022/06/07 07:49

_id	acadia17_630
id	acadia17_630
authors	Vasanthakumar, Saeran; Saha, Nirvik; Haymaker, John; Shelden, Dennis
year	2017
title	Bibil: A Performance-Based Framework to Determine Built Form Guidelines
doi	https://doi.org/10.52842/conf.acadia.2017.630
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 630- 639
summary	City built-form guidelines act as durable constraints on building design decisions. Such guidelines directly impact energy, comfort and other performance conditions. Existing urban design and planning methods only consider a narrow range of potential design scenarios, with rudimentary performance criteria, resulting in suboptimal urban designs. Bibil is a software plugin for the Rhinoceros3D/Grasshopper3D CAD modeler that addresses this gap through the synthesis of design space exploration methods to help design teams optimize guidelines for environmental and energy performance criteria over the life cycle of the city. Bibil consists of three generative and data management modules. The first module simulates development scenarios from street and block information through time, the second designs appropriate architectural typology, and the third abstracts the typologies into a lightweight analysis model for detailed thermal load and energy simulation. State-of-the-art performance simulation is done via the Ladybug Analysis Tools Grasshopper3D plugin, and further bespoke analysis to explore the resulting design space is achieved with custom Python scripts.This paper first introduces relevant background for automated exploration of urban design guidelines. Then the paper surveys the state-of-the-art in design and performance simulation tools in the urban domain. Next the paper describes the beta version of the tool’s three modules and its application in a built form study to assess urban canyon performance in a major North American city. Bibil enables the exploration of a broader range of potential design scenarios, for a broader range of performance criteria, over a longer period of time.
keywords	design methods; information processing; simulation & optimization; form finding; generative system
series	ACADIA
email
last changed	2022/06/07 07:58

_id	acadia17_72
id	acadia17_72
authors	Alfaiate, Pedro; Caetano, In?s; Leit?o, António
year	2017
title	Luna Moth: Supporting Creativity in the Cloud
doi	https://doi.org/10.52842/conf.acadia.2017.072
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 72-81
summary	Algorithmic design allows architects to design using a programming-based approach. Current algorithmic design environments are based on existing computer-aided design applications or building information modeling applications, such as AutoCAD, Rhinoceros 3D, or Revit, which, due to their complexity, fail to give architects the immediate feedback they need to explore algorithmic design. In addition, they do not address the current trend of moving applications to the cloud to improve their availability. To address these problems, we propose a software architecture for an algorithmic design integrated development environment (IDE), based on web technologies, that is more interactive than competing algorithmic design IDEs. Besides providing an intuitive editing interface which facilitates programming tasks for architects, its performance can be an order of magnitude faster than current algorithmic design IDEs, thus supporting real-time feedback with more complex algorithmic design programs. Moreover, our solution also allows architects to export the generated model to their preferred computer-aided design applications. This results in an algorithmic design environment that is accessible from any computer, while offering an interactive editing environment that integrates into the architect’s workflow.
keywords	design methods; information processing; generative system; computational / artistic cultures
series	ACADIA
email
last changed	2022/06/07 07:54

_id	acadia17_138
id	acadia17_138
authors	Berry, Jaclyn; Park, Kat
year	2017
title	A Passive System for Quantifying Indoor Space Utilization
doi	https://doi.org/10.52842/conf.acadia.2017.138
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 138-145
summary	This paper presents the development of a prototype for a new sensing device for anonymously evaluating space utilization, which includes usage factors such as occupancy levels, congregation and circulation patterns. This work builds on existing methods and technology for measuring building performance, human comfort and occupant experience in post-occupancy evaluations as well as pre-design strategic planning. The ability to collect data related to utilization and occupant experience has increased significantly due to the greater accessibility of sensor systems in recent years. As a result, designers are exploring new methods to empirically verify spatial properties that have traditionally been considered more qualitative in nature. With this premise, this study challenges current strategies that rely heavily on manual data collection and survey reports. The proposed sensing device is designed to supplement the traditional manual method with a new layer of automated, unbiased data that is capable of capturing environmental and social qualities of a given space. In a controlled experiment, the authors found that the data collected from the sensing device can be extrapolated to show how layout, spatial interventions or other design factors affect circulation, congregation, productivity, and occupancy in an office setting. In the future, this sensing device could provide designers with real-time feedback about how their designs influence occupants’ experiences, and thus allow the designers to base what are currently intuition-based decisions on reliable data and evidence.
keywords	design methods; information processing; smart buildings; IoT
series	ACADIA
email
last changed	2022/06/07 07:52

_id	sigradi2017_052
id	sigradi2017_052
authors	Branco, Bruna; Robson Canuto, Aristóteles Cantalice
year	2017
title	Fabricação Digital Aplicada à Habitação de Caráter Emergencial: Um estudo sobre a adaptação de WikiHouses ao contexto ambiental brasileiro [Digital Fabrication Applied to Temporary Houses for Post-disaster and Social Emergency: A study on the adaptation of WikiHouses to the Brazilian tropics]
source	SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.358-366
summary	Digital fabrication has transformed the way buildings are constructed by applying methods such as friction-fit connection. This technique has been propagated by WikiHouse which aims to develop open building technologies to different environmental contexts. However, the indiscriminate use of the model may result in inefficiency of housing performance. This work, therefore, investigates solutions for adapting WikiHouses to the tropics, according to principles proposed by Armando de Holanda in ‘A Guide to Build in Northeast Brazil’. Nevertheless, difficulties related to certain adaptations were observed such as connections compatibility and design of large open spaces, especially because these systems depend on a maximum size of parts.
keywords	Digital fabrication; Temporary houses; Post-traumatic urbanism; Friction-fit Connection, WikHouse.
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	caadria2017_055
id	caadria2017_055
authors	Caetano, In?s and Leit?o, António
year	2017
title	Integration of an Algorithmic BIM Approach in a Traditional Architecture Studio
doi	https://doi.org/10.52842/conf.caadria.2017.633
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 633-642
summary	Algorithmic BIM combines BIM and Generative Design (GD), merging the potentialities of both approaches. In this paper we describe the design process of a set of parametric facades developed using Algorithmic-BIM, and how this approach was integrated into the design workflow of two architectural studios. We demonstrate how the integration of GD together with BIM influenced the whole design process and also the selection of the final solution. Some of the limitations found during the entire process are also addressed in the paper, such as tight deadlines and financial constraints. Finally, we explain the pros and cons of using this design method compared to a traditional BIM approach, and we discuss the implementation of this paradigm in a traditional design practice. This work was developed using Rosetta, an IDE for Generative Design that supports scripts using different programming languages and allows the generation and edition of 3D models in a variety of CAD and BIM applications. The result of this work is an information model of three parametric facades for a residential building, from which we can extract material quantities and construction performance tests.
keywords	Generative design; collaborative design; CAD-BIM portability; parametric facade design
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2017_101
id	caadria2017_101
authors	Dounas, Theodoros, Spaeth, Benjamin, Wu, Hao and Zhang, Chenke
year	2017
title	Speculative Urban Types - A Cellular Automata Evolutionary Approach
doi	https://doi.org/10.52842/conf.caadria.2017.313
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 313-322
summary	The accelerated rate of urbanization in China is the motivator behind this paper. As a response to the observed monotonous housing developments in Suzhou Industrial Park (SIP) and elsewhere our method exploits Cellular Automata (CA) combined with fitness evaluation algorithms to explore speculatively the potential of building regulations for increased density and diversity through an automated design algorithm. The well-known Game of Life CA is extended from its original 2-dimensional functionality into the realm of three dimensions and enriched with the possibility of resizing the involved cells according to their function. Moreover our method integrates the "social condenser" as a means of diversifying functional distribution within the Cellular Automata as well as solar radiation as requested by the existing building regulation. The method achieves a densification of the development from 31% to 39% ratio of footprint to occupied volume whilst obeying the solar radiation rule and offering a more diverse functional occupation. This proof of concept demonstrates a solid approach to the automated design of housing developments at an urban scale with a ,yet limited, evaluation procedure including solar radiation which can be extended to other performance criteria in future work.
keywords	integrated Speculation; Generative Urbanism; Cellular Automata
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	cf2017_648
id	cf2017_648
authors	Dounas, Theodoros; Spaeth, A. Benjamin; Wu, Hao; Zhang, Chenke
year	2017
title	Dense Urban Typologies and the Game of Life: Evolving Cellular Automata
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 648-666.
summary	The ongoing rate of urbanization in China is the motivator behind this paper. As a response to the observed monotonous housing developments in Suzhou Industrial Park (SIP) and elsewhere our method exploits Cellular Automata (CA) combined with fitness evaluation algorithms to explore speculatively the potential of existing developments and respective building regulations for increased density and diversity through an automated design algorithm. The well-known Game of Life CA is extended from its original 2-dimensional functionality into the realm of three dimensions and enriched with the opportunity of resizing the involved cells according to their function. Moreover our method integrates an earlier technique of constrcuctivists namely the “social condenser” as a means of diversifying functional distribution within the Cellular Automata as well as solar radiation as requested by the existing building regulation. The method achieves a densification of the development from 31% to 39% ratio of footprint to occupied volume whilst obeying the solar radiation rule and offering a more diverse functional occupation. This proof of concept demonstrates a solid approach to the automated design of housing developments at an urban scale with a ,yet limited, evaluation procedure including solar radiation which can be extended to other performance criteria in future work.
keywords	Evolutionary Design, Generative Urbanism, Integrated Strategy
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	cf2017_137
id	cf2017_137
authors	Ensari, Elif; Kobas, Bilge; Sucuo?lu, Can
year	2017
title	Computational Decision Support for an Airport Complex Roof Design: A Case Study of Evolutionary Optimization for Daylight Provision and Overheating Prevention
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 137-149.
summary	This study focuses on generating geometric design alternatives for an airport roof structure with an evolutionary design method based on optimizing solar heat gain and daylight levels. The method incorporates a parametric 3D model of the building, a multi objective genetic algorithm that was linked with the model to iteratively test for various geometric solutions, a custom module that was developed to simulate solar conditions, and external energy simulation environments that was used to validate the outcomes. The integral outcome was achieved through an iterative workflow of many software tools, and the study is significant in dealing with several space typologies at the same time, taking real-life constraints such as applicability, ease of operation, construction loads into consideration, and satisfying design and aesthetic requirements of the architectural design team.
keywords	Evolutionary algorithms, daylight and energy performance, multi-objective optimization
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	ecaade2017_029
id	ecaade2017_029
authors	Gadelhak, Mahmoud, Lang, Werner and Petzold, Frank
year	2017
title	A Visualization Dashboard and Decision Support Tool for Building Integrated Performance Optimization
doi	https://doi.org/10.52842/conf.ecaade.2017.1.719
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 719-728
summary	Analyzing the results of multi-objective optimization and building performance simulation can be a very tedious process that requires navigating between different software and tools. There is a clear scarcity in visualization tools that combine methods for big data analysis and design decision support tools that integrate detailed information for each design and parameter. Having a single visualization tool that provides methods to both visualize and analyze a large amount of data, understand the relation between objectives and variables, and having the ability to compare and analyze the preferred designs thoroughly can support the process of design decision making. In this paper, previous attempts to develop better data visualization tools for both integrated building simulation and optimization outputs were analyzed, then guidelines and a visualization tool prototype that can be effective in decision making and analyzing multi-objective optimizations results was presented.
keywords	Multi-objective optimization; Building Performance Simulation; Simulation; Visualization tools
series	eCAADe
email
last changed	2022/06/07 07:50

_id	cf2017_297
id	cf2017_297
authors	He, Yi; Schnabel, Marc Aurel; Chen, Rong; Wang, Ning
year	2017
title	A Comprehensive Application of BIM Modelling for Semi-underground Public Architecture: A Study for Tiantian Square Complex, Wuhan, China
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 297-308.
summary	The paper presents research on how Building Information Modelling (BIM) can be applied comprehensively throughout the design of an architectural project. A practical method based on BIM models that help to deal with multidisciplinary issues by integrating the design information from different sources, collaborators and project stages is formulated by adopting existing available tools. The ‘Tiantian Square’ building project in Wuhan, China combines a subway station with a commercial hug. According to the project’s size and complexity, our study focuses on the multiple cooperation of professionals from different backgrounds, including the departments of architectural design, structure (civil engineering), HVAC (Heating, Ventilation and Air Conditioning), water supply and drainage, and electrics and sustainable design. Our paper presents how the BIM model bridges between various simulation platforms through our technical system and management, including steps of transformation, simplification, analysis, reaction and improvement. Our research has helped to improve the overall efficiency and quality of the project. We generated a successful analysis-design approach for the initial design stages, which does not require in-depth analysis. It is a practical method to immediately evaluate the performance for each design alternative and provide guidelines for design modification. Finally, we discuss how the coordination of different department becomes a crucial factor as we look forward to a more open, communicative and inter-relational design and development process.
keywords	BIM, Subway Complex, Simulation, Semi-Underground Architecture
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	acadia20_382
id	acadia20_382
authors	Hosmer, Tyson; Tigas, Panagiotis; Reeves, David; He, Ziming
year	2020
title	Spatial Assembly with Self-Play Reinforcement Learning
doi	https://doi.org/10.52842/conf.acadia.2020.1.382
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 382-393.
summary	We present a framework to generate intelligent spatial assemblies from sets of digitally encoded spatial parts designed by the architect with embedded principles of prefabrication, assembly awareness, and reconfigurability. The methodology includes a bespoke constraint-solving algorithm for autonomously assembling 3D geometries into larger spatial compositions for the built environment. A series of graph-based analysis methods are applied to each assembly to extract performance metrics related to architectural space-making goals, including structural stability, material density, spatial segmentation, connectivity, and spatial distribution. Together with the constraint-based assembly algorithm and analysis methods, we have integrated a novel application of deep reinforcement (RL) learning for training the models to improve at matching the multiperformance goals established by the user through self-play. RL is applied to improve the selection and sequencing of parts while considering local and global objectives. The user’s design intent is embedded through the design of partial units of 3D space with embedded fabrication principles and their relational constraints over how they connect to each other and the quantifiable goals to drive the distribution of effective features. The methodology has been developed over three years through three case study projects called ArchiGo (2017–2018), NoMAS (2018–2019), and IRSILA (2019-2020). Each demonstrates the potential for buildings with reconfigurable and adaptive life cycles.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2017_149
id	ecaade2017_149
authors	Jahanara, Alireza and Fioravanti, Antonio
year	2017
title	Kinetic Shading System as a means for Optimizing Energy Load - A Parametric Approach to Optimize Daylight Performance for an Office Building in Rome
doi	https://doi.org/10.52842/conf.ecaade.2017.2.231
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 231-240
summary	Current research, as a part of on-going PhD research, explores the possibilities of dynamic pattern inspired from biomimetic design and presents a structured framework for light to manage strategies. The experiment stresses the improvement of daylight performance through the design and motion of kinetic facades using various integrated software.The impact of kinetic motion of hexagonal pattern was studied by integrating triangle and triangle covering through blooming pyramids on south-facing skin to control the daylight distribution, using a parametric simulation technique. The simulation was carried out for a south oriented façade of an office room in Rome, Italy over three phases. The first optimized results represent the static base case, which were compared to the other two proposed dynamic models in this research. Results demonstrate that dynamic façade achieved a better daylighting performance in comparison to optimized static base case.
keywords	Bio-Inspired Pattern; Parametric Design; Dynamic Façade; Daylighting
series	eCAADe
email
last changed	2022/06/07 07:52

_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
doi	https://doi.org/10.52842/conf.caadria.2020.1.873
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
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	caadria2017_085
id	caadria2017_085
authors	Lee, Yong-Ju, Kim, Mi-Kyoung and Jun, Han-Jong
year	2017
title	Green Standard for Energy and Environmental Design - The Development of an Assessment System Based on a Green BIM Template
doi	https://doi.org/10.52842/conf.caadria.2017.623
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 623-632
summary	To construct a building that meets the requirements of certification in terms of environmental friendliness, there must be a process that considers the certification criteria from the initial design phase. However, there are numerous complicated task performance procedures to analyse many required items in detail as well as perceive and apply the data requirements efficiently. Currently, Building Information Modeling (BIM) is gaining attention as a solution for environmental problems in architecture. BIM shows precisely how a virtual building is modelled in the real world, thereby providing an objective information and analysis through a simulation. However, the result values of BIM library or modelling may turn out differently as a result of the work environment of designers or users that is not standardized. Therefore, this study applies the modelled and extracted BIM data using the template and library established in the BIM add-in planning and design phase to review in advance the Green Standard for Energy and Environmental Design (G-SEED) assessment by item and manual input of users with the BIM-based (add-in) G-SEED assessment system, thereby providing support to enable users to establish specific strategies in designing green buildings.
keywords	GBT; G-SEED; BIM System; BIM Add-in; Apartment
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2017_079
id	caadria2017_079
authors	Miyake, Munetoshi, Fukuda, Tomohiro, Yabuki, Nobuyoshi and Motamedi, Ali
year	2017
title	Outdoor MarkerLess Augmented Reality - A System for Visualizing Building Models Using Simultaneous Localization and Mapping
doi	https://doi.org/10.52842/conf.caadria.2017.095
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 95-104
summary	In this study, an Augmented Reality (AR) system is developed to be used for visualizing design projects of buildings. In such design projects, it is desirable to enable design stakeholders visualizing the outcomes of different design options to reduce the resistance and hesitation towards new design challenges. The research proposes an outdoor mark-er-less AR using Simultaneous Localization and Mapping (SLAM) for the AR tracking. Our proposed system performs reconstruction and localization steps in real-time, as opposed to similar methods in which the reconstruction step is done offline. A case study has been performed for a de-sign scenario of buildings. The case study verified the performance of visualization and tracking.
keywords	Architecture and urban environment; Augmented Reality (AR); Simultaneous Localization and Mapping (SLAM); Visualization
series	CAADRIA
email
last changed	2022/06/07 07:58

_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
doi	https://doi.org/10.52842/conf.ecaade.2023.2.197
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
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

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