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	caadria2020_347
id	caadria2020_347
authors	Budig, Michael, Heckmann, Oliver, Ng Qi Boon, Amanda, Hudert, Markus, Lork, Clement and Cheah, Lynette
year	2020
title	Data-driven Embodied Carbon Evaluation of Early Building Design Iterations
doi	https://doi.org/10.52842/conf.caadria.2020.2.303
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 303-312
summary	In the early design phases, Life Cycle Assessment can assist project stakeholders in making informed decisions on choosing structural systems and materials with an awareness of environmental sustainability through their embodied carbon content; yet embodied carbon is difficult to quantify without detailed design information in the early design stages. In response, this paper proposes a novel data-driven tool, prior to the definition of floor plan layouts to perform embodied carbon evaluation of existing building designs based on a Bayesian Neural Network (BNN) regression. The BNN is built from data drawn from existing floor plans of residential buildings, and predicts material volume and embodied carbon from generic design parameters typical in the early design stage. Users will be able to interact with the tool in Grasshopper or as an online resource, input generic design parameters, and obtain comparative visualizations based on the choice of a construction system and its environmental sustainability in a 'shoebox' interface - a simplified three-dimensional representation of a building's primary spatial units generated with the tool.
keywords	Regression; Bayesian Neural Network; High-Rise Residential Buildings
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	sigradi2020_464
id	sigradi2020_464
authors	Builes Vélez, Ana Elena; Celani, Pierfrancesco
year	2020
title	Application of the Sustainable Urban Environments model based on the Smart Outdoor approach in the city of Medellín
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 464-469
summary	The quality of an urban space significantly influences the habitability of a city. In an era where buildings are becoming more and more "intelligent", outdoor space needs to evolve to make it more welcoming and to allow it to be shared and appropriate, capable of expanding opportunities and functionality for the inhabitant who lives in it. In this context the COGITO project, is exploring ways to extend the cognitive logic typical of intelligent buildings to the urban space. We propose to appropriate the model developed in COGITO and apply it in a case study of the city of Medellin.
keywords	Smart Cities, Urban Space, Sustainability, Smart Outdoor
series	SIGraDi
email
last changed	2021/07/16 11:49

_id	caadria2020_091
id	caadria2020_091
authors	Ren, Yue and Zheng, Hao
year	2020
title	The Spire of AI - Voxel-based 3D Neural Style Transfer
doi	https://doi.org/10.52842/conf.caadria.2020.2.619
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 619-628
summary	In the architecture field, humans have mastered various skills for creating unique spatial experiences with unknown interplays between known contents and styles. Meanwhile, machine learning, as a popular tool for mapping different input factors and generating unpredictable outputs, links the similarity of the machine intelligence with the typical form-finding process. Style Transfer, therefore, is widely used in 2D visuals for mixing styles while inspiring the architecture field with new form-finding possibilities. Researchers have applied the algorithm in generating 2D renderings of buildings, limiting the results in 2D pixels rather than real full volume forms. Therefore, this paper aims to develop a voxel-based form generation methodology to extend the 3D architectural application of Style Transfer. Briefly, through cutting the original 3D model into multiple plans and apply them to the 2D style image, the stylized 2D results generated by Style Transfer are then abstracted and filtered as groups of pixel points in space. By adjusting the feature parameters with user customization and replacing pixel points with basic voxelization units, designers can easily recreate the original 3D geometries into different design styles, which proposes an intelligent way of finding new and inspiring 3D forms.
keywords	Form Finding; Machine Learning; Artificial Intelligence; Style Transfer
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ijac202119406
id	ijac202119406
authors	Silva Dória, David Rodrigues; Ramaswami, Keshav; Claypool, Mollie; Retsin, Gilles
year	2021
title	Public parts, resocialized autonomous communal life
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 4, 568–593
summary	Commoning embodies the product of social contracts and behaviors between groups of individuals. In thecase of social housing and the establishment of physical domains for life, commoning is an intersection of thesecontracts and the restrictions and policies that prohibit and allow them to occur within municipalities. Via aplatform-based project entitled Public Parts (2020), this article will also present positions on the reification ofthe common through a set of design methodologies and implementations of automation. This platform seeksto subvert typical platform models to decrease ownership, increase access, and produce a new form ofcommunal autonomous life amongst individuals that constitute the rapidly expanding freelance, work fromhome, and gig economies. Furthermore, this text investigates the consequences of merging domestic spacewith artificial intelligence by implementing machine learning to reconfigure spaces and program. Theproblems that arise from the deployment of machine learning algorithms involve issues of collection, usage,and ownership of data. Through the physical design of space, and a central AI which manages the platform andthe automated management of space, the core objective of Public Parts is to reify the common througharchitecture and collectively owned data.
keywords	Common, housing, platforms, reification, artificial intelligence, automation
series	journal
email
last changed	2024/04/17 14:29

_id	sigradi2020_968
id	sigradi2020_968
authors	Gongora, Nicolás; Chiarella, Mauro
year	2020
title	ATMOSPH (DAQ) + APP post-occupancy evaluation (POE). Energy efficiency building optimized in real time
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 968-974
summary	Greenhouse issues in existing glass-enclosed buildings can be controlled by optimizing energy efficiency and thermal comfort using low cost, customizable, customizable, open source, transferable resources. For such objectives, it is necessary to strategically link algorithmic, heuristic and manufacturing processes. For the case study, the creation of a personalized data acquisition device (DAQ) and a post-occupational evaluation APP (POE) enabled us to advance on real-time building energy efficiency operating on the need for comfort in the rooms and users.
keywords	Data acquisition, Post-occupancy evaluation, Domotic, arduino, Architectural skin
series	SIGraDi
email
last changed	2021/07/16 11:53

_id	ecaade2020_367
id	ecaade2020_367
authors	Jorgensen, Jens, Tamke, Martin and Poulsgaard, Kare Stokholm
year	2020
title	Occupancy-informed:Introducing a method or flexible behavioural mapping in architecture using machine vision
doi	https://doi.org/10.52842/conf.ecaade.2020.2.251
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 251-258
summary	The feedback-loops of the modern architectural design practice are broken, as architects rarely get to experience and learn about life in their buildings in a systematic way. Through novel survey and annotation methods, this project aims to develop tools and methodologies that assist architects in getting insights into the built environment. This paper describes the initial development of a framework for surveying and annotating occupant behaviour within architecture, called "Behavioural Situations". Using object recognition on embedded devices, it is possible to build an understanding of occupant behaviour, by coupling behavioural signifiers and their relations as nodes and edges in a graph representation.
keywords	Occupant behaviour; Behaviour sensing; Computer-vision
series	eCAADe
email
last changed	2022/06/07 07:52

_id	sigradi2022_298
id	sigradi2022_298
authors	Perry, Isha N.; Xue, Zhouyi; Huang, Hui-Ling; Crispe, Nikita; Vegas, Gonzalo; Swarts, Matthew; Gomez Z., Paula
year	2022
title	Human Behavior Simulations to Determine Best Strategies for Reducing COVID-19 Risk in Schools
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 39–50
summary	The dynamics of COVID-19 spread have been studied from an epidemiological perspective, at city, country, and global scales (Rabajante, 2020, Ma, 2020, and Giuliani et al., 2020), although after two years of the pandemic we know that viruses spread mostly through built environments. This study is part of the Spatiotemporal Modeling of COVID-19 spread in buildings research (Gomez, Hadi, and Kemenova et al., 2020 and 2021), which proposes a multidimensional model that integrates spatial configurations, temporal use of spaces, and virus characteristics into one multidimensional model. This paper presents a specific branch of this model that analyzes the behavioral parameters, such as vaccination, masking, and mRNA booster rates, and compares them to reducing room occupancy. We focused on human behavior, specifically human interactions within six feet. We utilized the multipurpose simulation software, AnyLogic, to quantify individual exposure to the virus, in the high school building by Perkins and Will. The results show how the most effective solution, reducing the occupancy rates or redesigning layouts, being the most impractical one, is as effective as 80% of the population getting a third boost.
keywords	Spatiotemporal Modeling, Behavior Analytics, COVID-19 Spread, Agent-Based Simulation, COVID-19 Prevention
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	caadria2020_063
id	caadria2020_063
authors	Wang, Chunxiao and Lu, Shuai
year	2020
title	Influence of Uncertainties in Envelope and Occupant Parameters on the Reliability of Energy-Based Form Optimization of Office Buildings
doi	https://doi.org/10.52842/conf.caadria.2020.1.497
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. 497-506
summary	Building performance optimization is effective in finding optimal designs and improving building energy efficiency, but its reliability can be affected by uncertainties in input parameters. This paper conducts a reliability analysis on energy-based form optimization of office buildings under uncertainties in envelope and occupancy parameters. An optimization process involving Rhinoceros, EnergyPlus and genetic algorithms is first implemented. Then parametric studies of 644 scenarios involving 4 cities in different climates and 3 form variables are conducted. The results indicate that uncertainties in input parameters could lead to major unreliability of optimization results, including reductions up to 13% in energy saving achieved by optimization and descents up to 10% in energy efficiency compared with results before optimization. Moreover, the uncertainty in visual transmittance of windows is the most significant cause for the unreliability, followed by U-value of walls, while the uncertainty in occupant density and occupant schedule has limited influence. The results can help designers understand the uncertainty of which parameters should be controlled and to what extend optimization results can be trusted in various scenarios.
keywords	Building Performance Optimization; Form Design; Building Energy Efficiency; Uncertainty Analysis; Office Building
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	acadia20_94
id	acadia20_94
authors	Yoo, Wonjae; Kim, Hyoungsub; Shin, Minjae; J.Clayton, Mark
year	2020
title	BIM-Based Automatic Contact Tracing System Using Wi-Fi
doi	https://doi.org/10.52842/conf.acadia.2020.1.094
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. 94-101.
summary	This study presents a BIM-based automatic contact tracing method using a stations-oriented indoor localization (SOIL) system. The SOIL system integrates BIM models and existing network infrastructure (i.e., Wi-Fi), using a clustering method to generate roomlevel occupancy schedules. In this study, we improve the accuracy of the SOIL system by including more detailed Wi-Fi signal travel sources, such as reflection, refraction, and diffraction. The results of field measurements in an educational building show that the SOIL system was able to produce room-level occupant location information with a 95.6% level of accuracy. This outcome is 2.6% more accurate than what was found in a previous study. We also describe an implementation of the SOIL system for conducting contact tracing in large buildings. When an individual is confirmed to have COVID-19, public health professionals can use this system to quickly generate information regarding possible contacts. The greatest strength of this SOIL implementation is that it has wide applicability in largescale buildings, without the need for additional sensing devices. Additional tests using buildings with multiple floors are required to further explore the robustness of the system.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	sigradi2022_51
id	sigradi2022_51
authors	Varsami, Constantina; Tsamis, Alexandros; Logan, Timothy
year	2022
title	Gaming Engine as a Tool for Designing Smart, Interactive, Light-Sculpting Systems
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 617–628
summary	Even though interactive (Offermans et.al., 2013), adaptive (Viani et.al., 2017), and self-optimizable (Sun et.al., 2020) lighting systems are becoming readily available, designing system automations, and evaluating their impact on user experience significantly challenges designers. In this paper we demonstrate the use of a gaming engine as a platform for designing, simulating, and evaluating autonomous smart lighting behaviors. We establish the Human - Lighting System Interaction Framework, a computational framework for developing a Light Sculpting Engine and for designing occupant-system interactions. Our results include a. a method for combining in real-time lighting IES profiles into a single ‘combined’ profile - b. algorithms that optimize in real-time, lighting configurations - c. direct glare elimination algorithms, and d. system energy use optimization algorithms. Overall, the evolution from designing static building components to designing interactive systems necessitates the reconsideration of methods and tools that allow user experience and system performance to be tuned by design.
keywords	User Experience, Human-Building Interaction, Smart Lighting, Lighting Simulation, Gaming Engine
series	SIGraDi
email
last changed	2023/05/16 16:56

_id	caadria2020_369
id	caadria2020_369
authors	Heckmann, Oliver, Budig, Michael, Xuereb Conti, Zack, Cheng, Ray Chern Xi and Lo Tian Tian, Sky
year	2020
title	User-driven Parcellation of High-rise Units for Future Urban Habitation - Participatory Computational Design Tools for Future Urban Habitation
doi	https://doi.org/10.52842/conf.caadria.2020.1.751
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. 751-760
summary	Most residential high-rise apartments currently built to satisfy growing demands for housing, are predetermined and thus, are unable to respond to the increasingly diversifying forms of co-habitation. This research pursues alternative flexible approaches by building on Habraken's 'Open Building' paradigm, where permanent, polyvalent 'Support System' layouts are strategically designed to accommodate highly adaptable, user-driven 'Infill systems'. In this context, we adopt the participatory decision-making approach, by means of a computational framework that facilitates user-driven parcellations of entire buildings into apartments segments. The means is an algorithm that allocates numerous user-preference regarding size and position simultaneously - by searching for parcel permutations through a graph-syntax representation of floor plans. The research forms part of a larger project that aims to evaluate the resilience of mass housing for future uncertain demands.
keywords	participatory; generative; mass housing; open building
series	CAADRIA
email
last changed	2022/06/07 07:49

_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	sigradi2021_300
id	sigradi2021_300
authors	Leiro, Manoela, Darzé, Júlia, Rios, Matheus and Lemos, Paulo
year	2021
title	An Experience with the Use of a BIM Tool in the Thermal Environmental Comfort Discipline
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. 889–900
summary	This article presents a didactic experience carried out with the use of a BIM tool in the Thermal Environmental Comfort discipline of the graduate course in Architecture and Urbanism of a private Higher Education Institution in the city of Salvador-Bahia. Starting in 2020, students began designing solar protection devices using a geometric model in Revit. The method described in Annex I of the Technical Regulation on the Quality of Energy Efficiency Level in Residential Buildings (RTQ-R) was applied. The results obtained showed a better understanding by the students about the importance of correctly sizing solar protection devices for different orientations.
keywords	BIM, Ensino, Conforto Ambiental Térmico
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	ecaade2020_235
id	ecaade2020_235
authors	Li, Bin, Guo, Weihong, schnabel, Marc Aurel and Zhang, Ziqi
year	2020
title	Virtual Simulation of New Residential Buildings in Lingnan Using Vernacular Wisdom
doi	https://doi.org/10.52842/conf.ecaade.2020.1.269
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 269-278
summary	Every new idea has some sort of precedent or echoes from the past. It is the same for the new residential buildings in Lingnan, China. In Lingnan, the vernacular knowledge of building design has been established over thousands of years. Whether it is suitable for use today should be verified. In this research, virtual simulations are employed to arrive at an overall conclusion. Virtual simulations based on PHOENICS, ENVI_MET, CadnaA, and Ecotect software were separately used for analysing the case of new residential buildings located in Lingnan. The study analysed the wind, thermal, acoustic, and light environments, which are four aspects of these new residential buildings. According to the results of our research, the paper discussed ways to amend and improve the new residential buildings that sit within the overall spirit of the vernacular knowledge of Lingnan; thus, it helps to put the traditional knowledge into the current context. The vernacular knowledge from XS to XL scale contexts, such as Feng-shui, was verified as being suitable for use in Lingnan today.
keywords	Virtual simulation; Vernacular wisdom; Residential building; Lingnan; Feng-shui
series	eCAADe
email
last changed	2022/06/07 07:52

_id	acadia20_178
id	acadia20_178
authors	Meeran, Ahmed; Conrad Joyce, Sam
year	2020
title	Machine Learning for Comparative Urban Planning at Scale: An Aviation Case Study
doi	https://doi.org/10.52842/conf.acadia.2020.1.178
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. 178-187.
summary	Aviation is in flux, experiencing 5.4% yearly growth over the last two decades. However, with COVID-19 aviation was hard hit. This, along with its contribution to global warming, has led to louder calls to limit its use. This situation emphasizes how urban planners and technologists could contribute to understanding and responding to this change. This paper explores a novel workflow of performing image-based machine learning (ML) on satellite images of over 1,000 world airports that were algorithmically collated using European Space Agency Sentinel2 API. From these, the top 350 United States airports were analyzed with land use parameters extracted around the airport using computer vision, which were mapped against their passenger footfall numbers. The results demonstrate a scalable approach to identify how easy and beneficial it would be for certain airports to expand or contract and how this would impact the surrounding urban environment in terms of pollution and congestion. The generic nature of this workflow makes it possible to potentially extend this method to any large infrastructure and compare and analyze specific features across a large number of images while being able to understand the same feature through time. This is critical in answering key typology-based urban design challenges at a higher level and without needing to perform on-ground studies, which could be expensive and time-consuming.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia20_574
id	acadia20_574
authors	Nguyen, John; Peters, Brady
year	2020
title	Computational Fluid Dynamics in Building Design Practice
doi	https://doi.org/10.52842/conf.acadia.2020.1.574
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. 574-583.
summary	This paper provides a state-of-the-art of computational fluid dynamics (CFD) in the building industry. Two methods were used to find this new knowledge: a series of interviews with leading architecture, engineering, and software professionals; and a series of tests in which CFD software was evaluated using comparable criteria. The paper reports findings in technology, workflows, projects, current unmet needs, and future directions. In buildings, airflow is fundamental for heating and cooling, as well as occupant comfort and productivity. Despite its importance, the design of airflow systems is outside the realm of much of architectural design practice; but with advances in digital tools, it is now possible for architects to integrate air flow into their building design workflows (Peters and Peters 2018). As Chen (2009) states, “In order to regulate the indoor air parameters, it is essential to have suitable tools to predict ventilation performance in buildings.” By enabling scientific data to be conveyed in a visual process that provides useful analytical information to designers (Hartog and Koutamanis 2000), computer performance simulations have opened up new territories for design “by introducing environments in which we can manipulate and observe” (Kaijima et al. 2013). Beyond comfort and productivity, in recent months it has emerged that air flow may also be a matter of life and death. With the current global pandemic of SARS-CoV-2, it is indoor environments where infections most often happen (Qian et al. 2020). To design architecture in a post-COVID-19 environment will require an in-depth understanding of how air flows through space.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	cdrf2019_179
id	cdrf2019_179
authors	Yuzhe Pan, Jin Qian, and Yingdong Hu
year	2020
title	A Preliminary Study on the Formation of the General Layouts on the Northern Neighborhood Community Based on GauGAN Diversity Output Generator
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_17
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary	Recently, the mainstream gradually has become replacing neighborhood-style communities with high-density residences. The original pleasant scale and enclosed residential spaces have been broken, and the traditional neighborhood relations are going away. This research uses machine learning to train the model to generate a new plan, which is used in today’s residential design. First, in order to obtain a better generation effect, this study extracts the transcendental information of the neighborhood community in north of China, using roads, buildings etc. as morphological representations; GauGAN, compared to the pix2pix and pix2pixHD, used by predecessors, can achieve a clearer and a more diversified output and also fit irregular contours more realistically. ANN model trained by 167 general layout samples of a neighborhood community in north of China from 1950s to 1970s can generate various general layouts in different shapes and scales. The experiment proves that GauGAN is more suitable for general layout generation than pix2pix (pix2pixHD); Distributed training can improve the clarity of the generation and allow later vectorization to be more convenient.
series	cdrf
email
last changed	2022/09/29 07:51

_id	caadria2020_024
id	caadria2020_024
authors	Zheng, Hao and Ren, Yue
year	2020
title	Architectural Layout Design through Simulated Annealing Algorithm
doi	https://doi.org/10.52842/conf.caadria.2020.1.275
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. 275-284
summary	Simulated Annealing is an artificial intelligence algorithm for finding the optimal solution of a proposition in an ample search space, which is based on the similarity between the physical annealing process of solid materials and the combinatorial optimization problem. In architectural layout design, although architects usually rely on their subjective design concepts to arrange buildings in a site, the judging criteria hidden in their design concepts are understandable. They can be summarized and parameterized as a combination of penalty and reward functions. By defining the functions to evaluate a design plan, then using the simulated annealing algorithm to search the optimal solution, the plan can be optimized and generated automatically. Six penalty and reward functions are proposed with different parameter weights in this article, which become a guideline for architectural layout design, especially for residential area planning. Then the results of several tests are shown, in which the parameter weights are adjusted, and the importance of each function is integrated. Lastly, a recommended weight and "temperature" setting are proposed, and a system of generating architectural layout is invented, which releases architects from building arranging work in an early stage.
keywords	Architectural Layout; Simulated Annealing; Artificial Intelligence; Computational Design
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	acadia20_236p
id	acadia20_236p
authors	Anton, Ana; Jipa, Andrei; Reiter, Lex; Dillenburger, Benjamin
year	2020
title	Fast Complexity
source	ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 236-241
summary	The concrete industry is responsible for 8% of the global CO2 emissions. Therefore, using concrete in more complex and optimized shapes can have a significant benefit to the environment. Digital fabrication with concrete aims to overcome the geometric limitations of standardized formworks and thereby reduce the ecological footprint of the building industry. One of the most significant material economy potentials is in structural slabs because they represent 85% of the weight of multi-story concrete structures. To address this opportunity, Fast Complexity proposes an automated fabrication process for highly optimized slabs with ornamented soffits. The method combines reusable 3D-printed formwork (3DPF) and 3D concrete printing (3DCP). 3DPF uses binder-jetting, a process with submillimetre resolution. A polyester coating is applied to ensure reusability and smooth concrete surfaces otherwise not achievable with 3DCP alone. 3DPF is selectively used only where high-quality finishing is necessary, while all other surfaces are fabricated formwork-free with 3DCP. The 3DCP process was developed interdisciplinary at ETH Zürich and employs a two-component material system consisting of Portland cement mortar and calcium aluminate cement accelerator paste. This fabrication process provides a seamless transition from digital casting to 3DCP in a continuous automated process. Fast Complexity selectively uses two complementary additive manufacturing methods, optimizing the fabrication speed. In this regard, the prototype exhibits two different surface qualities, reflecting the specific resolutions of the two digital processes. 3DCP inherits the fine resolution of the 3DPF strictly for the smooth, visible surfaces of the soffit, for which aesthetics are essential. In contrast, the hidden parts of the slab use the coarse resolution specific to the 3DCP process, not requiring any formwork and implicitly achieving faster fabrication. In the context of an increased interest in construction additive manufacturing, Fast Complexity explicitly addresses the low resolution, lack of geometric freedom, and limited reinforcement options typical to layered extrusion 3DCP, as well as the limited customizability in concrete technology.
series	ACADIA
type	project
email
last changed	2021/10/26 08:08

_id	acadia20_198p
id	acadia20_198p
authors	Birkeland, Jennifer; Scelsa, Jonathan A.
year	2020
title	Live L’oeil – Through the Looking Ceiling
source	ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 198-201
summary	Following the proliferation of linear perspective during the Renaissance, the hegemony of the vantage point was often problematically used to signify the patron’s dominance. During the mannerist era, we witnessed the creation of elaborate rooms, painted in architectural linear perspective establishing the illusionary space of faraway lands - a measure of optic imperialism wherein the conquests of the west played out in the domestic decoration of the elite later provided to the public as a societal spectacle in the form of the panorama. Within these architectural illusions, or Quadratura as they were named in Italy, lies the most notable and justifiable critique of design by vantage point, the question ‘which vantage point is privileged?’ History not surprisingly reveals that the typical vantage point was most problematically centered at one and three-quarter meters above the ground – coincident with five centimeters below the average height of a human European male. The design of architectural form through view or spatial image has arguably perpetuated this act of optic bias. This project addresses this problematic practice of design by vantage point by utilizing motion sensors to liberate the virtual space of a canonic example of quadrature from its confines within a singular vantage point. The authors digitally modeled the projective space of Andrea Pozzo’s vision for the Church of Sant’Ignazio di Loyola in Rome, scaled and fit to a gallery space outfitted with a canvas to inform a ceiling plane. Anamorphic images of the virtual heavenly space, as seen through the canvas ceiling picture plane, were created from the digital model and encoded to the individual moments in the room. Individuals who moved through the gallery were followed by the illusion of the heavenly space, creating a live l’oeil distortion.
series	ACADIA
type	project
email
last changed	2021/10/26 08:08

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