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	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
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
doi	https://doi.org/10.52842/conf.caadria.2020.1.497
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	ijac202220109
id	ijac202220109
authors	Ortner, F. Peter; Jing Zhi Tay
year	2022
title	Resilient by design: Informing pandemic-safe building redesign with computational models of resident congestion
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 1, pp. 129–144
summary	This paper describes a computational design-support tool created in response to safe-distancing measures enforced during the COVID-19 pandemic. The tool was developed for a specific use case: understanding congestion in crowded migrant worker dormitories that experienced high rates of COVID-19 transmission in 2020. Building from agent-based and network-based computational simulations, the tool presents a hybrid method for simulating building resident movements based on known or pre-determined schedules and likely itineraries. This hybrid method affords the design tool a novel approach to simultaneous exploration of spatial and temporal design scenarios. The paper demonstrates the use of the tool on an anonymised case study of a high-density migrant worker dormitory, comparing results from a baseline configuration against design variations that modify dormitory physical configuration and schedule. Comparisons between the design scenarios provide evidence for reflections on pandemic-resilient design and operation strategies for dor- mitories. A conclusions section considers the extent to which the model and case study results are applicable to other dense institutional buildings and describes the paper’s contributions to general understanding of configurational and operational aspects of resilience in the built environment.
keywords	Design for resilience, evidence-based design, design support, agent-based model, schedule-based model, network analysis
series	journal
last changed	2024/04/17 14:29

_id	caadria2020_043
id	caadria2020_043
authors	Bai, Nan, Nourian, Pirouz, Xie, Anping and Pereira Roders, Ana
year	2020
title	Towards a Finer Heritage Management - Evaluating the Tourism Carrying Capacity using an Agent-Based Model
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. 305-314
doi	https://doi.org/10.52842/conf.caadria.2020.1.305
summary	As one of the most important areas in the Palace Museum, Beijing, China, the Hall of Mental Cultivation had suffered from overcrowding of visitors before it was closed in 2016 for conservation. Preparing for the reopening in 2020, the Palace Museum decided to take the chance and initiate finer-grained tourism management in the Hall. This research intends to provide an audio-guided touring program by dynamically evaluating the Tourism Carrying Capacity (TCC) with the highlight spots in the Hall, to operate the touring program spatiotemporally. Framing an optimization problem for the touring program, an agent-based simulator, Thunderhead Pathfinder, originally developed for evacuation in the emergency, is utilized to verify the performance of the touring system. The simulation shows that the proposed touring program could precisely fit all the key requirements to improve the visitors' experience, to guarantee heritage safety, and to ensure more efficient management.
keywords	Tourism Carrying Capacity; Agent-Based Simulation; Operations Research; Heritage Management
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaade2024_222
id	ecaade2024_222
authors	Bindreiter, Stefan; Sisman, Yosun; Forster, Julia
year	2024
title	Visualise Energy Saving Potentials in Settlement Development: By linking transport and energy simulation models for municipal planning
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 79–88
doi	https://doi.org/10.52842/conf.ecaade.2024.2.079
summary	To achieve Sustainable Development Goals, in addition to the switch to sustainable energy sources and energy-efficient buildings, transport offers a major lever for reducing energy consumption and greenhouse gases. The increasing demand for emission-free mobility (e.g. through electromobility) but also heat pumps has a direct impact on the electricity consumption of buildings and settlements. It is still difficult to simulate the effects and interactions of different measures as sector coupling concepts require comprehensible tools for ex ante evaluation of planning measures at the community level and the linking of domain-specific models (energy, transport). Using the municipality of Bruck an der Leitha (Austria) as an example, a digital twin based on an open data model (Bednar et al., 2020) is created for the development of methods, which can be used to simulate measures to improve the settlement structure within the municipality. Forecast models for mobility (Schmaus, 2019; Ritz, 2019) and the building stock are developed or applied and linked via the open data model to be able to run through development scenarios and variants. The forecasting and visualisation options created in the project form the basis for the ex-ante evaluation of measures and policies on the way to a Positive-Energy-District. By identifying and collecting missing data, data gaps are filled for the simulation of precise models in the specific study area. A digital, interactive 3D model is created to examine the forecast results and the different scenarios.
keywords	visualisation, decision support, sector coupling, holistic spatial energy models for municipal planning, (energy) saving potentials in settlement development
series	eCAADe
email
last changed	2024/11/17 22:05

_id	caadria2020_320
id	caadria2020_320
authors	Cheng, Jiahui, Zhang, Zhuoqun and Peng, Chengzhi
year	2020
title	Parametric Modelling and Simulation of an Indoor Temperature Responsive Rotational Shading System Design
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. 579-588
doi	https://doi.org/10.52842/conf.caadria.2020.1.579
summary	We present a digital design strategy for developing an intelligent rotational shading system responsive to changes in indoor temperatures. The strategy was first modelled with an Arduino-based physical prototype, identifying the concept of "mapping" between building indoor air temperature and rotational movement (angle) of external solar shading. A virtual parametric modelling approach was then followed to test three methods of mapping: linear, quadratic and logarithmic. The aim was to examine the performative differences exhibited by the three mapping methods in terms of the total comfort hours and estimated cooling energy demand during summer months. A typical cellular office in the Arts Tower of University of Sheffield was chosen for the parametric modelling (Rhino-Grasshopper) and environmental simulation (Honeybee-Ladybug) of horizontal and vertical rotational shading system design. The simulation shows that the horizontal shading system rotating according to the linear mapping methods achieve greater total comfort hours with lower cooling energy demand in the case of Arts Tower in Sheffield, UK.
keywords	indoor temperature responsive shading; temperature-angle mapping; parametric design; kinetic shading; overheating
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2020_032
id	caadria2020_032
authors	Gu, Zhuoxing and Yang, Chunxia
year	2020
title	Generation of Public Space Structure Based on Digital Multi-agent System - Taking the interaction between self-consensus "Stigmergy" particles and the old city area as an example
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. 285-294
doi	https://doi.org/10.52842/conf.caadria.2020.1.285
summary	In the study, the ant colony behavior was simulated to establish a parametric multi-agent system with independent consensus "Stigmergy" for interaction with the site. In the experiment, the initial points of the particles correspond to the key historical buildings, and the target points correspond to the important public space nodes. Edit and adjust the motion characteristics, search features, generation and disappearance characteristics of the simulated particles to obtain the main consensus particle swarm distribution and the distributed consensus particle swarm distribution. This form has a compliant or conflicting relationship with the existing urban environment. Using the contours of the self-consensus spatial form, the particle swarm density, and the pointing relationship between the particles and the building can provide a basis for the transformation and renewal of the existing urban environment, thus forming a spatial transformation strategy that more closely matches the user behavior in the space.
keywords	Multi-agent system; Particle property construction; Stigmergy; Self-consensus particles; Public space structure
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	acadia20_84
id	acadia20_84
authors	Kirova, Nikol; Markopoulou, Areti
year	2020
title	Pedestrian Flow: Monitoring and Prediction
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. 84-93.
doi	https://doi.org/10.52842/conf.acadia.2020.1.084
summary	The worldwide lockdowns during the first wave of the COVID-19 pandemic had an immense effect on the public space. The events brought up an opportunity to redesign mobility plans, streets, and sidewalks, making cities more resilient and adaptable. This paper builds on previous research of the authors that focused on the development of a graphene-based sensing material system applied to a smart pavement and utilized to obtain pedestrian spatiotemporal data. The necessary steps for gradual integration of the material system within the urban fabric are introduced as milestones toward predictive modeling and dynamic mobility reconfiguration. Based on the capacity of the smart pavement, the current research presents how data acquired through an agent-based pedestrian simulation is used to gain insight into mobility patterns. A range of maps representing pedestrian density, flow, and distancing are generated to visualize the simulated behavioral patterns. The methodology is used to identify areas with high density and, thus, high risk of transmitting airborne diseases. The insights gained are used to identify streets where additional space for pedestrians is needed to allow safe use of the public space. It is proposed that this is done by creating a dynamic mobility plan where temporal pedestrianization takes place at certain times of the day with minimal disruption of road traffic. Although this paper focuses mainly on the agent-based pedestrian simulation, the method can be used with real-time data acquired by the sensing material system for informed decision-making following otherwise-unpredictable pedestrian behavior. Finally, the simulated data is used within a predictive modeling framework to identify further steps for each agent; this is used as a proof-of-concept through which more insights can be gained with additional exploration.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_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
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
doi	https://doi.org/10.52842/conf.ecaade.2020.1.269
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	ecaade2020_511
id	ecaade2020_511
authors	Maierhofer, Mathias, Ulber, Marie, Mahall, Mona, Serbest, Asli and Menges, Achim
year	2020
title	Designing (for) Change - Towards adaptivity-specific architectural design for situational open Environments
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. 575-584
doi	https://doi.org/10.52842/conf.ecaade.2020.2.575
summary	The introduction of cybernetic principles to the architectural discourse some 50 years ago stimulated a new notion of buildings as dynamic and under-specified systems. Although their traditional conception as static and deterministic objects has remained predominant to this day, concepts for adaptive architecture capable of interacting with their surroundings and occupants have gained renewed attention in recent decades. However, investigations so far have largely concentrated on small-scale applications or individual adaptation strategies. The notion of situational open Environments, as argued in this paper, provides a framework through which adaptivity can be conceived and explored more holistically as well as on an inhabitable scale. Environments reject deterministic design and adaptation solutions and hence call for integrative and interactive design strategies that not only allow for the exploration of particularly adaptable (i.e. underspecified) architectural morphologies, but also for the communication and negotiation during their further development beyond deployment. In respect thereof, this paper discusses the potentials and implications of computational (design) strategies, meaning the agencies of buildings, designers, residents, and surroundings. The presented research originates from the author's involvement in an interdisciplinary research project centered around the development of an adaptive high-rise building that incorporates various adaptation strategies.
keywords	Adaptive Architecture; Architectural Environment; Computational Design; Agent-based Modeling; Architecture Theory; Cybernetics
series	eCAADe
email
last changed	2022/06/07 07:59

_id	caadria2020_249
id	caadria2020_249
authors	Poustinchi, Ebrahim, Fehrenbach, Joshua and Holmes, Tyler
year	2020
title	Ro-Puzzle - A robotic proposal for moving architecture
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. 433-442
doi	https://doi.org/10.52842/conf.caadria.2020.2.433
summary	This paper presents a project-based research study called Ro-puzzle-a robotic architectural "puzzle," using robotic solutions to illustrate the possibility of an animated/dynamic architectural composition and configurations in the physical world. Through studying super-comportment (Wiscombe, 2014) in both dynamic and static scenarios, this research proposes a new reading to the traditional robotic task of "pick-and-place", through an intuitive motion design process using a custom-made bridge software, Oriole. By revisiting the notion of robotics in the field of design/architecture, Ro-Puzzle investigates the design possibilities of robotics, not merely as fabrication tools, but possibly as physical extensions of the design software into the physical world of architecture, and as a way to expand the digital design imaginations/possibilities beyond the digital screens. In this manuscript and initially tested at the desktop scale, Ro-Puzzle research investigation demonstrated the possibilities of robots as architectural "components" within the architecture/building. This research shows that through the development of custom software/hardware platforms, it is possible to domesticize robotic technology as an active agent in the design process through physical simulation.
keywords	Robotics; Design; Animation; Robotic Architecture; Dynamic Architecture
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	acadia20_248
id	acadia20_248
authors	Saha, Nirvik; Haymaker, John; Shelden, Dennis
year	2020
title	Space Allocation Techniques (SAT)
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. 248-257.
doi	https://doi.org/10.52842/conf.acadia.2020.1.248
summary	Architects and urban designers use space allocation to develop layouts constrained by project-specific attributes of spaces and relations between them. The space allocation problem (SAP) is a general class of computable problems that eluded automation due to combinatorial complexity and diversity of architectural forms. In this paper, we propose a solution to the space allocation problem using reinforcement learning (RL). In RL, an artificial agent interacts with a simulation of the design problem to learn the optimal spatial organization of a layout using a feedback mechanism based on project-specific constraints. Compared to supervised learning, where the scope of the design problem is restricted by the availability of prior samples, we developed a general approach using RL to address novel design problems, represented as SAP. We integrated the proposed solution to SAP with numerous geometry modules, collectively defined as the space allocation techniques (SAT). In this implementation, the optimization and generative modules are decoupled such that designers can connect the modules in various ways to generate layouts with desired geometric and topological attributes. The outcome of this research is a user-friendly, freely accessible Rhino Grasshopper (C#) plugin, namely, the Design Optimization Toolset or DOTs, a compilation of the proposed SAT. DOTs allows designers to interactively develop design alternatives that reconcile project-specific constraints with the geometric complexity of architectural forms. We describe how professional designers have applied DOTs in space planning, site parcellation, massing, and urban design problems that integrate with performance analysis to enable a holistic, semi-automated design exploration.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia20_290
id	acadia20_290
authors	Stuart-Smith, Robert; Danahy, Patrick; Revelo La Rotta, Natalia
year	2020
title	Topological and Material Formation
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. 290-299.
doi	https://doi.org/10.52842/conf.acadia.2020.1.290
summary	Extrusion-based additive manufacturing (AM) is gaining traction in the construction industry, offering lower environmental and economic costs through reductions in material and production time. AM designs achieve these reductions by increasing topological and geometric complexity, and through variable material distribution via custom-programmed robot tool paths. Limited approaches are available to develop AM building designs within a topologically free design search or to leverage material affects relative to structural performance. Established methods such as topological structural optimization (TSO) operate primarily within design rationalization, demonstrating less formal or aesthetic diversity than agent-based methods that exhibit behavioral character. While material-extrusion gravitational affects have been explored in AM research using viscous materials such as concrete and ceramics, established methods are not sufficiently integrated into simulation and structural analysis workflows. A novel three-part method is proposed for the design and simulation of extrusion-based AM that includes topoForm, an evolutionary multi-agent software capable of generating diverse topological designs; matForm, an agent-based AM robot tool-path generator that is geometrically agnostic and adapts material effects to local structural and geometric data; and matSim, a material-physics simulation environment that enables high-resolution AM material effects to be simulated and structurally and aesthetically analyzed. The research enables designers to incorporate and simulate material behavior prior to fabrication and produce instructions suitable for industrial robot AM. The approach is demonstrated in the generative design of four AM column-like elements.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2020_094
id	caadria2020_094
authors	Yang, Chunxia and Gu, Zhuoxing
year	2020
title	Optimization of Public Space Design Based on Reconstruction of Digital Multi-Agent Behavior - --Taking the public space of the North Bund in Shanghai as an example
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. 335-344
doi	https://doi.org/10.52842/conf.caadria.2020.1.335
summary	This paper uses the digital software platform to build an intelligent multi-agent system. Through the classification of site elements, the Shanghai North Bund waterfront public space elements are classified into different systems such as transportation hub facilities, catering facilities, shopping facilities and leisure venues. The main population activities in this area are classified into different activities such as youth activities, elderly activities, and family activities through user behavior classification. Finally, the intelligent multi-agent particle swarm is built by the dynamic simulation component of grasshopper, and its individual behavior rules and group interaction rules are adjusted to form the crowd moving particle flow. The particle flow interacts with the classified site elements to derive a distribution pattern of population activity in different systems. Particle flow data information and particle distribution patterns after interactive simulation can be the support for urban design evaluation and optimization.
keywords	Self-organizing system; Multi-agent system; Particle property construction; Urban design elements; Waterfront public space
series	CAADRIA
email
last changed	2022/06/07 07:57

_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
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.
doi	https://doi.org/10.52842/conf.acadia.2020.1.094
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	ecaade2024_409
id	ecaade2024_409
authors	Zarzycki, Andrzej
year	2024
title	BIM-Driven Curriculum for Integrated Design Studios: Maintaining data interoperability and design flexibility
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 27–36
doi	https://doi.org/10.52842/conf.ecaade.2024.2.027
summary	This paper presents a curricular model for an integrated design studio focused on BIM-driven processes, satisfying the NAAB 2020's student performance criteria SC.5 and SC6. These criteria emphasize quantifiable, evidence-based design thinking by requiring the provision of "measurable environmental impacts" and "measurable outcomes of building performance." The studio, serving as a capstone project, integrates accessible design, user and regulatory requirements into building assemblies, structural and environmental systems, and life safety, underscoring the importance of measurable building performance outcomes. The adoption of computational design tools, particularly Building Information Modeling (BIM), facilitates engagement in environmental and user-focused simulations and ensures data interoperability throughout the design and post-occupancy phases. Utilizing a comprehensive set of tools, including life-cycle assessment (LCA) and energy modeling, the curriculum advances beyond simple simulations to support decision-making and multi-objective optimizations. This approach enables a new form of design thinking that incorporates a broader set of variables and considerations, encouraging students to meet various environmental impact and performance benchmarks, including LEED v.5 Certification points and Architecture 2030 energy standards. The integration of scenario simulation tools empowers students to autonomously advance their projects within a framework of constraints, marking a pedagogical shift towards faculty acting as learning facilitators and promoting student autonomy in design evaluation.
keywords	building information modeling, BIM, building performance simulations, design education
series	eCAADe
email
last changed	2024/11/17 22:05

_id	cdrf2019_134
id	cdrf2019_134
authors	Zhen Han, Wei Yan, and Gang Liu
year	2020
title	A Performance-Based Urban Block Generative Design Using Deep Reinforcement Learning and Computer Vision
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_13
summary	In recent years, generative design methods are widely used to guide urban or architectural design. Some performance-based generative design methods also combine simulation and optimization algorithms to obtain optimal solutions. In this paper, a performance-based automatic generative design method was proposed to incorporate deep reinforcement learning (DRL) and computer vision for urban planning through a case study to generate an urban block based on its direct sunlight hours, solar heat gains as well as the aesthetics of the layout. The method was tested on the redesign of an old industrial district located in Shenyang, Liaoning Province, China. A DRL agent - deep deterministic policy gradient (DDPG) agent - was trained to guide the generation of the schemes. The agent arranges one building in the site at one time in a training episode according to the observation. Rhino/Grasshopper and a computer vision algorithm, Hough Transform, were used to evaluate the performance and aesthetics, respectively. After about 150 h of training, the proposed method generated 2179 satisfactory design solutions. Episode 1936 which had the highest reward has been chosen as the final solution after manual adjustment. The test results have proven that the method is a potentially effective way for assisting urban design.
series	cdrf
email
last changed	2022/09/29 07:51

_id	sigradi2020_991
id	sigradi2020_991
authors	Gomez, Paula; Hadi, Khatereh; Kemenova, Olga; Swarts, Matthew
year	2020
title	Spatiotemporal Modeling of COVID-19 Spread in Built Environments
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. 991-996
summary	This research proposes a Spatiotemporal Modeling approach to understand the role of architecture, specifically the built environment, in the COVID-19 pandemic. The model integrates spatial and temporal parameters to calculate the probability of spread of and exposure to SARS-CoV-2 virus (responsible of COVID-19 disease) due to the combination of four aspects: Spatial configuration, organizational schedules, people’s behavior, and virus characteristics. Spatiotemporal Modeling builds upon the current models of building analytics for architecture combined with predictive models of COVID-19 spread. While most of the current research on COVID-19 spread focuses on mathematical models at regional scales and the CDC guidelines emphasizing on human behavior, our research focuses on the role of buildings in this pandemic, as the intermediate mechanism where human and social activities occur. The goal is to understand the most significant parameters that influence the virus spread within built environments, including human-to-human, fomite (surface-to-human), and airborne ways of transmission, with the purpose of providing a comprehensive parametric model that may help identify the most influential design and organizational decisions for controlling the pandemic. The proof-of-concept study is a healthcare facility.
keywords	Spatiotemporal modeling, Agent-based simulation, COVID-19, Virus spread, Built environments, Human behavior, Social distancing
series	SIGraDi
email
last changed	2021/07/16 11:53

_id	sigradi2020_412
id	sigradi2020_412
authors	Simeone, Davide; Fioravanti, Antonio; Coraglia, Ugo Maria; Cursi, Stefano
year	2020
title	A simulation model for building use re-thinking after the COVID-19 emergency
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. 412-417
summary	COVID-19 infection is forcing designers and building managers in re-thinking the use and experience of architectural spaces, as well as the interactions within the people in it. To support this difficult task, this research is working on a simulation model, based on agent-based modeling, able to predict the use phenomena of buildings and provided quantitative and qualitative feedback regarding the impact of re-defined use processes to COVID-19 infection risk. The derived platform is particularly designed to support the testing of visiting scenarios in museums and galleries, potentially helping them in their re-opening phases.
keywords	Agent-based modeling and simulation (ABMS), COVID-19, Building use, Behavioral simulation, Unity 3D
series	SIGraDi
email
last changed	2021/07/16 11:49

_id	ecaade2022_16
id	ecaade2022_16
authors	Bailey, Grayson, Kammler, Olaf, Weiser, Rene, Fuchkina, Ekaterina and Schneider, Sven
year	2022
title	Performing Immersive Virtual Environment User Studies with VREVAL
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 437–446
doi	https://doi.org/10.52842/conf.ecaade.2022.2.437
summary	The new construction that is projected to take place between 2020 and 2040 plays a critical role in embodied carbon emissions. The change in material selection is inversely proportional to the budget as the project progresses. Given the fact that early-stage design processes often do not include environmental performance metrics, there is an opportunity to investigate a toolset that enables early-stage design processes to integrate this type of analysis into the preferred workflow of concept designers. The value here is that early-stage environmental feedback can inform the crucial decisions that are made in the beginning, giving a greater chance for a building with better environmental performance in terms of its life cycle. This paper presents the development of a tool called LearnCarbon, as a plugin of Rhino3d, used to educate architects and engineers in the early stages about the environmental impact of their design. It facilitates two neural networks trained with the Embodied Carbon Benchmark Study by Carbon Leadership Forum, which learns the relationship between building geometry, typology, and construction type with the Global Warming potential (GWP) in tons of C02 equivalent (tCO2e). The first one, a regression model, can predict the GWP based on the massing model of a building, along with information about typology and location. The second one, a classification model, predicts the construction type given a massing model and target GWP. LearnCarbon can help improve the building life cycle impact significantly through early predictions of the structure’s material and can be used as a tool for facilitating sustainable discussions between the architect and the client.
keywords	Pre-Occupancy Evaluation, Immersive Virtual Environment, Wayfinding, User Centered Design, Architectural Study Design
series	eCAADe
email
last changed	2024/04/22 07:10

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