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	acadia23_v1_92
id	acadia23_v1_92
authors	Fishman, Cynthia
year	2023
title	BiomimicReality: An Interactive VR Environment Based on Biomimicry
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 92-97.
summary	Climate change is not a theoretical construct that might affect future generations; it is happening now. Wildfires, drought, and extreme temperatures are occurring throughout the world, and are projected to get worse. These environmental changes affect all species on this planet. Due to the overwhelming, depressing, and complex subject matter that is climate change, people can feel apathetic or tune out when it is being discussed, in addition to having feelings of hopelessness surrounding the future. These feelings are categorized as eco-anxiety (Ágoston et al. 2022, 1-3).
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	caadria2022_360
id	caadria2022_360
authors	McMeel, Dermott and Petrovic, Emina K.
year	2022
title	Architecture Value Change in Response to the Anthropocene: The Contribution of Digital Innovation
doi	https://doi.org/10.52842/conf.caadria.2022.2.415
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 415-424
summary	The confluence of different interests‚the Anthropocene, productivity, sustainability, economics‚calls for a need to re-think how the professions evaluate the built environment. There is a myriad of different strands of work under this umbrella which‚broadly‚point to a shift in the value framework for those people and professions who have agency in, and are responsible for, the creation of the built environment. This paper has two objectives. First, by drawing from the writing of architectural theorist Juhani Pallasmaa it teases out themes useful to conceptualise the value change. The goal is to delineate particular views around the creation of and our relation to the built environment. Second, it presents three projects: (1) tracking chemical composition of construction materials, (2) an app that encourages e-commerce in building multi-species environments, and (3) a concept for an economy in construction waste leveraging possibilities presented by blockchain technology. The aim is to shed light on how the emerging blockchain technology might alter values and organisational systems of the built environment in response to the Anthropocene and climate crisis.
keywords	Design, Anthropocene, Value Change, Blockchain, System Design, SDG 9, SDG 11, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	sigradi2022_92
id	sigradi2022_92
authors	Vaez Afshar, Sepehr; Aytaç, Gülºen; Eshaghi, Sarvin; Vaez Afshar, Sana
year	2022
title	Online Footprint - A serious game for reducing digital carbon emission
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. 1043–1052
summary	Life is getting digital more than ever as technology improves. While the Internet is responsible for two percent of global greenhouse gas emissions, it is underestimated as a pollutant. Since public awareness is one of the most important preservation methods, it can contribute to protecting the environment from carbon emissions by raising people's understanding. In this regard, serious games, as a type of gamification transmitting educational content besides entertainment, immerse the player in enjoyment while teaching them a specific topic or enhancing their skills in a field. This study proposes a serious game, taking the digital unseen carbon footprint and its effects on the landscape into the topic. The game considers SDG goals provided by the United Nations Department of Economic and Social Affairs. In this regard, the research uses SDGs 4 and 7 by providing quality education for all and access to sustainable energy by changing people's everyday habits.
keywords	Online learning, Internet footprint, Climate change, Serious games, SDGs
series	SIGraDi
email
last changed	2023/05/16 16:57

_id	sigradi2022_187
id	sigradi2022_187
authors	Andia, Alfredo
year	2022
title	SynBio-Design: Building new infrastructures and territories with Synthetic Biology.
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. 1213–1224
summary	Which kind of imagination do we need for the future of our planet? In the past 150 years, we have completely transformed our biosphere. Today we have arrived at points of no return in global warming! The temperature of the Arctic Ocean will increase by 3-5°C by mid-century. This will lead to disastrous ocean acidification, sea-level rise, and worst of all the thawing of the permafrost that will release 1 trillion tons of carbon dioxide into the atmosphere. In this paper, we argue that building with biology will be the most important force to transform our planet. Since 2006, Synthetic Biology (SynBio) has surfaced as the fastest-growing technology in human history. SynBio involves emerging techniques that allow us to design, edit, and engineer all kinds of living organisms. In this paper, we elaborate on its potential development in growing infrastructures and its impacts on architectural thinking.
keywords	Bio-Inspired Design, Synthetic Biology, Bio-Architecture, Climate Change, Biotechnology
series	SIGraDi
email
last changed	2023/05/16 16:57

_id	caadria2022_175
id	caadria2022_175
authors	Farr, Marcus
year	2022
title	Bio-Synthetic Assemblages: Computational Assembly of Synthetic Bio-Sand Units Made From Dune Sand
doi	https://doi.org/10.52842/conf.caadria.2022.2.293
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 293-302
summary	Biomineralization is the process by which living organisms produce minerals to harden or stiffen exoskeletons and existing tissues. Mineralization is a widespread phenomenon among all taxonomic animal kingdoms. The material used in this project attempts to replicate the process of hardening and mineralizing dune sand found in the Sahara and Arabian deserts. This material is found in vast quantities but thought to be of little use in modern construction. The new bio-synthetic material used in this study is paired with the process of augmented construction and computational placement of tectonic units. The paper overlays a broad question of how organizational systems might integrate architecturally with regionally appropriate bio-material composed of dune sand and, more specifically, how this material process creates a consistent, viable architectural outcome with dune sand as a primary ingredient for architectural material. As the material agenda reaches maturity, we ask how the production of this bio-material can be combined with computation to articulate consistent architectural outcomes within a desert-specific environment. The role of this computational and material process adds to the current dialogue of designing in extreme environments and aligns with the UN Sustainable Development Goals for sustainable communities, responsible consumption and production, climate action, and life living on land.
keywords	Performance-based design, Bio-material, Computational design, Innovative material use, Augmented Construction, SDG 11, SDG 12, SDG 13, SDG 15
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_458
id	caadria2022_458
authors	Gong, Pixin, Huang, Xiaoran, Huang, Chenyu and White, Marcus
year	2022
title	Machine Learning-Based Walkability Modeling in Urban Life Circle
doi	https://doi.org/10.52842/conf.caadria.2022.1.645
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 645-654
summary	With China's fast urbanization, the study of the walkability of residents' life circles has become critical to improve people's quality of life. Traditional walkability calculations are based on Lawrence Frank's theory. However, the weighted calculation method cannot be adapted to ever-changing and complicated scenarios as the scope and topic of research transforming. This study investigated walkability at the community level by combining machine learning techniques with multi-source data. Feature indicators affecting walkability were estimated from multi-source data. Machine learning was used to refine the weighting calculation under the previous indicator framework. We compared the performance of 20 regression models from 6 different machine learning algorithms for estimating the walkability of 14578 communities in downtown Shanghai. It is concluded that the Bagged Tree Model (R2=0.86, RMSE=0.36862) achieves the best performance, which is used to revise the initial walkability index values. The workflow proposed in this paper allows for rapid application of expert empirical consensus to comprehensive urban design and detailed urban governance in the future.
keywords	Life Circle, Walkability Indicator, Multi-source Data, Machine Learning, Refined Urban Design, SDG 3, SDG 10, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	architectural_intelligence2022_5
id	architectural_intelligence2022_5
authors	Jiading Zhong, Jianlin Liu, Yongling Zhao, Jianlei Niu & Jan Carmeliet
year	2022
title	Recent advances in modeling turbulent wind flow at pedestrian-level in the built environment
doi	https://doi.org/https://doi.org/10.1007/s44223-022-00008-7
source	Architectural Intelligence Journal
summary	Pressing problems in urban ventilation and thermal comfort affecting pedestrians related to current urban development and densification are increasingly dealt with from the perspective of climate change adaptation strategies. In recent research efforts, the prime objective is to accurately assess pedestrian-level wind (PLW) environments by using different simulation approaches that have reasonable computational time. This review aims to provide insights into the most recent PLW studies that use both established and data-driven simulation approaches during the last 5 years, covering 215 articles using computational fluid dynamics (CFD) and typical data-driven models. We observe that steady-state Reynolds-averaged Navier-Stokes (SRANS) simulations are still the most dominantly used approach. Due to the model uncertainty embedded in the SRANS approach, a sensitivity test is recommended as a remedial measure for using SRANS. Another noted thriving trend is conducting unsteady-state simulations using high-efficiency methods. Specifically, both the massively parallelized large-eddy simulation (LES) and hybrid LES-RANS offer high computational efficiency and accuracy. While data-driven models are in general believed to be more computationally efficient in predicting PLW dynamics, they in fact still call for substantial computational resources and efforts if the time for development, training and validation of a data-driven model is taken into account. The synthesized understanding of these modeling approaches is expected to facilitate the choosing of proper simulation approaches for PLW environment studies, to ultimately serving urban planning and building designs with respect to pedestrian comfort and urban ventilation assessment.
series	Architectural Intelligence
email
last changed	2025/01/09 15:00

_id	caadria2022_349
id	caadria2022_349
authors	Lopez Rodriguez, Alvaro, Jaramillo Pazmino, Pablo Isaac and Pantic, Igor
year	2022
title	Augmented Active-Bending Formwork for Concrete, A Manufacturing Technique for Accessible Local Construction of Structural Systems
doi	https://doi.org/10.52842/conf.caadria.2022.2.181
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 181-190
summary	This research introduces Augmented Reality (AR) for manufacturing concrete structures through an open platform for autonomous construction. The study was developed under the following scopes: computational algorithms for bending simulations, materiality tests, system implementation, and a set of Augmented Reality (AR) tools. AR devices offer a technological tool that allows for a self-built environment through holographic guidance, allowing the untrained workforce to participate in the process. This technology can help users select the system to construct through an Open-Source platform, reducing the gap between complex computational geometries and construction processes. The research aims to investigate a building system that could benefit the UN Objectives SDG 10 by increasing the access to technology in undeveloped communities, SDG 11 and SDG 12 by promoting a self-sustainable method of construction based on local resources and material efficiency. In conjunction with the development of the AR Platform and augmented manufacturing, a 1:1 prototype was built in Quito, Ecuador, with the help of seven people with no previous knowledge of digital tools or construction. Presenting a novel, fast, and affordable concrete formwork connected with AR assisted assembly methods that facilitate access to more efficient and advanced building technology.
keywords	Mixed Reality, Distributed Manufacturing, Online Platforms, Affordability, Local Communities, SDG 10, SDG 11, SDG 12
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ijac202220301
id	ijac202220301
authors	Martins, Iago Longue; Ana Paula Lyra
year	2022
title	Development and application of an algorithmic-parametric tool to assess the contribution of urban forestry to mitigate floods
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 3, pp. 496–510
summary	As an impact of climate change, water-related disasters, such as floods, are becoming more frequent. In this context, there is an increasing demand to improve the resiliency of urban settlements, using multiple approaches and techniques. This paper assesses one of those techniques, by developing an algorithmicparametric tool to quantify how urban forestry reduces flood impacts from rainfall runoff. The assessment was comprised by three main methodological steps: (#1) observing the scientific literature on “the sponge effect” observed in green infrastructures; (#2) developing an algorithmic-parametric tool using the Grasshopper application to estimate rainfall runoff, considering the influence of urban forestry design factors; and (#3) performing digital simulations with this parametric tool using a Rhinoceros-Grasshopper interface. Results indicate this method is effective in assessing the efficacy of green interventions to mitigate urban flood damage and also in foreseeing how different design strategies impact urban hydrological dynamics.
keywords	parametric analysis, urban forestry, climate change, urban planning, water-resilient cities
series	journal
last changed	2024/04/17 14:29

_id	caadria2022_276
id	caadria2022_276
authors	Mondal, Tushar
year	2022
title	Autonomous Transhumance
doi	https://doi.org/10.52842/conf.caadria.2022.2.253
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 253-262
summary	The Arctic is a zone of confluent resources where climate change has begun disrupting the once stable ecological and transhumant lifestyles. Encroachment on pastureland by oil, gas and mining facilities limit reindeer herding activity, and the presence of such infrastructure continues to alter their sensory perceptions and consequently their capacity to read and navigate their environment. Parallel to this, thawing permafrost results in the release of gaseous methane, causing landforms called pingos to explode without detectable warning. This paper proposes a strategy for adapting to these rapid changes by implementing an autonomous system to balance the Arctic ecology through two mutual dependent interventions- (1) Regenerating the pingos to prevent explosion and create new pastoral lands. (2) Seasonally herding the reindeer to these new pastures. The project uses primary data, physical tests, and current technological tools to inform the discourse and suggest a derivative solution. Advanced computational tools like machine learning, robotics, and simulations are used to speculate upon the post-carbon Arctic ecology. The project performs through a strategy of local interventions, networking the living and non-living agents in a tight rope act that balances the Arctic ecology.
keywords	Arctic, Pingo, Regenerated Landscape, Reindeer, Autonomous Herding, SDG 13, SDG 15
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	caadria2022_118
id	caadria2022_118
authors	Reitberger, Roland, Banihashemi, Farzan and Lang, Werner
year	2022
title	Sensitivity and Uncertainty Analysis of Combined Building Energy Simulation and Life Cycle Assessment, Implications for the Early Urban Design Process
doi	https://doi.org/10.52842/conf.caadria.2022.2.629
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 629-638
summary	Life Cycle Assessment (LCA) is a suitable approach for evaluating environmental impact (e.g. Global Warming Potential (GWP)) related to construction elements and building operation. Since both contribute significantly to the lifecycle based GWP of buildings, combined consideration is necessary. This applies especially for the early design stages when measures for climate change mitigation can be implemented in a cost-efficient manner. In this paper, we describe a sensitivity and uncertainty analysis (SA/UA) for energy simulation and LCA with a total of 8,000 parameter combinations. Thereby, we investigated valuable input for the setup of a collaborative design process with limited information. Standardised Regression Coefficients (SRCs) were used to obtain sensitivity and resulting uncertainties were investigated. The results indicate Primary Energy Source (PES), compactness and energy standard to be the most important information for the robustness of the combined LCA approach. Uncertainty can be reduced by e.g. defining the energy system in an early stage or by designing compact buildings. Related to the early design stages, the application of combined approaches for SA and UA is recommended, as the results differ for embodied and operational emissions.
keywords	early design stages, Sensitivity Analysis (SA), Uncertainty Analysis (UA), Life Cycle Assessment (LCA), urban scale, synergy potential, SDG 13
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ecaade2022_114
id	ecaade2022_114
authors	Rogers, Scarlett, Rubenach, Tom, Doherty, Ben, Gardner, Nicole, Haeusler, M. Hank and Yu, K. Daniel
year	2022
title	Running, Running, Stop - Applying graph theory to pathfinding analysis to improve circulation efficiency in vertical high schools
doi	https://doi.org/10.52842/conf.ecaade.2022.2.019
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. 19–28
summary	Understanding how people circulate in a space is crucial to effective spatial organisation. However, while many studies focus on wayfinding within environments such as train stations, there are few discussing multi storey circulation and pathfinding within educational institutions. Vertical high schools differ from other frequently travelled spaces by their need to prefer multiple stairways over elevators, and to devote the maximum floor area possible to learning spaces. These considerations change and impede a student’s ability to quickly traverse multiple floors. In this research, a computational tool is designed to simulate and assess circulation efficiency within a vertical high school with the goal of lightening stairwell congestion and decreasing classroom transit times. Using action research methodology, the research problem was formulated in cooperation with an industry partner and solved in an iterative manner. As a method to assess spatial circulation performance, principles of graph theory were applied to a simplified navigation mesh derived from the high school’s floor plan and Microsoft Excel timetable using Grasshopper. The ability to understand the influence of a designer’s decisions on circulation efficiency factors such as travel time and congestion is vital to creating practical and enduring designs that avoid expensive, post-construction building alterations to fix emergent problems – a core contribution of this research. While the simulation designed in this research engages with a vertical high school context, it could be appropriated for other building types, such as offices or shopping centres. Thereby, this research makes a further contribution to demonstrating the value of developing computational tools to aid in decision making.
keywords	Graph Theory, Congestion, Internal Circulation, Education, Spatial Organisation
series	eCAADe
email
last changed	2024/04/22 07:10

_id	sigradi2022_53
id	sigradi2022_53
authors	Stuart-Smith, Robert; Danahy, Patrick
year	2022
title	3D Generative Design for Non-Experts: Multiview Perceptual Similarity with Agent-Based Reinforcement Learning
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. 115–126
summary	Advances in additive manufacturing allow architectural elements to be fabricated with increasingly complex geometrical designs, however, corresponding 3D design software requires substantial knowledge and skill to operate, limiting adoption by non-experts or people with disabilities. Established non-expert approaches typically constrain geometry, topology, or character to a pre-established configuration, rather than aligning to figural and aesthetic characteristics defined by a user. A methodology is proposed that enables a user to develop multi-manifold designs from sketches or images in several 3d camera projections. An agent-based design approach responds to computer vision analysis (CVA) and Deep Reinforcement Learning (RL) to design outcomes with perceptual similarity to user input images evaluated by Structural Similarity Indexing (SSIM). Several CVA and RL ratios were explored in training models and tested on untrained images to evaluate their effectiveness. Results demonstrate a combination of CVA and RL motion behavior can produce meshes with perceptual similarity to image content.
keywords	Generative Design, Machine Learning, Agent-Based Systems, Non-Expert Design
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	acadia22_536
id	acadia22_536
authors	Tian, Hui; Yao, Jiali; Tu, Shimin
year	2022
title	The Potential of Mitigating Urban Heat Island with Vacant Lands in Philadelphia
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 536-545.
summary	Under the context of climate change, the urban heat island (UHI) is a challenging problem in Philadelphia as the number of days with extreme heat every year keeps increasing. Taking into account limited green space but a considerable amount of vacant lands in Philadelphia, we would test the cooling effect of greening vacant lands in UHI by exploring the quantitative relationship between land covers and Land Surface Temperature (LST) with novel machine learning technologies.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:04

_id	caadria2022_001
id	caadria2022_001
authors	van Ameijde, Jeroen, Gardner, Nicole, Hyun, Kyung Hoon and Luo, Dan
year	2022
title	CAADRIA 2022: POST-CARBON - Volume 2
source	CAADRIA 2022, POST-CARBON - Proceedings of the 27th CAADRIA Conference - vol. 2, Sydney, 9-15 April 2022, 774 p.
summary	The annual Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) conference provides an international community of researchers and practitioners with a venue to exchange, to discuss and to publish their latest ideas and accomplishments. These proceedings, consisting of two volumes, contain the research papers that were accepted for presentation at the 27th International CAADRIA Conference, organised jointly by the University of New South Wales, The University of Sydney, and the University of Technology Sydney. The papers in this publication have been selected through a two-stage, double-blind peer review process. All reviews and papers have been evaluated by the Paper Selection Committee. After receiving an initial 488 abstract submissions, a final set of 150 full papers has been selected for publication, translating to an acceptance rate of 30.7%. The papers in these proceedings are specifically selected for their contribution to this year's conference theme, following the conference organisers' call for authors to position their work in relation to the United Nations Sustainable Development Goals (SDGs). As the world is experiencing the increasing impacts of climate change, there is an urgent need to reflect on the potential of the latest research in architecture, urbanism and construction to address these global challenges.
series	CAADRIA
email
last changed	2022/05/23 12:05

_id	caadria2022_000
id	caadria2022_000
authors	van Ameijde, Jeroen, Gardner, Nicole, Hyun, Kyung Hoon, Luo, Dan and Sheth, Urvi
year	2022
title	CAADRIA 2022: POST-CARBON - Volume 1
source	CAADRIA 2022, POST-CARBON - Proceedings of the 27th CAADRIA Conference - vol. 1, Sydney, 9-15 April 2022, 772 p.
summary	The annual Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) conference provides an international community of researchers and practitioners with a venue to exchange, to discuss and to publish their latest ideas and accomplishments. These proceedings, consisting of two volumes, contain the research papers that were accepted for presentation at the 27th International CAADRIA Conference, organised jointly by the University of New South Wales, The University of Sydney, and the University of Technology Sydney. The papers in this publication have been selected through a two-stage, double-blind peer review process. All reviews and papers have been evaluated by the Paper Selection Committee. After receiving an initial 488 abstract submissions, a final set of 150 full papers has been selected for publication, translating to an acceptance rate of 30.7%. The papers in these proceedings are specifically selected for their contribution to this year's conference theme, following the conference organisers' call for authors to position their work in relation to the United Nations Sustainable Development Goals (SDGs). As the world is experiencing the increasing impacts of climate change, there is an urgent need to reflect on the potential of the latest research in architecture, urbanism and construction to address these global challenges.
series	CAADRIA
email
last changed	2022/05/23 12:04

_id	caadria2022_169
id	caadria2022_169
authors	Xu, Hang and Wang, Tsung-Hsien
year	2022
title	An Integrated Parametric Generation and Computational Workflow to Support Sustainable City Planning
doi	https://doi.org/10.52842/conf.caadria.2022.1.535
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 535-544
summary	To examine how efforts in the built environment can contribute to global climate change mitigation at the urban scale, urban building energy modelling (UBEM) is one of the research areas gaining increasing interest in recent years. However, limited studies systematically illustrate a comprehensive UBEM workflow for most architects and urban planners considering available public datasets, particularly at the early conceptual design phase. In current UBEM studies, major challenges arise from the lack of fine-grained measured urban data and incompatibility between software. To address these challenges and support future sustainable cities and communities, this paper proposed a streamlined computational workflow of UBEM to facilitate sustainable urban design development. Through a case study of Sheffield in the UK, this paper demonstrated an automated and standardised computational workflow that can test the decarbonisation potential in built environments by evaluating energy demand and supply scenarios at an urban scale. This workflow is envisaged to be applicable at various scales of an urban region given an appropriate geographic information system (GIS) dataset.
keywords	Parametric Design Generation, Urban Sustainability, Urban Building Energy Modelling, Building Performance Simulation, Renewable Energy, Decarbonisation, SDG 11
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	ijac202220108
id	ijac202220108
authors	Alsalman, Osama; Halil Erhan
year	2022
title	D-ART for collaboration in evaluating design alternatives
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 1, pp. 114–128
summary	Evaluating design ideas is an integral part of designing built environments. It involves multiple stakeholders with diverse backgrounds reviewing design solutions by studying their form and performance data. Although there are computational systems for supporting evaluation tasks, they are either highly specialised for designers or configured for a particular workflow with limited functions. We developed a Design Analytics method aiming at a collaborative and data-driven evaluation of alternatives in the design-evaluate-feedback cycle. Adopting this approach, we introduce D-ART as a prototype system composed of customisable Web interfaces for presenting design alternatives, enabling stakeholders to participate in data-informed discourse on alternatives and providing feedback to the design team. Its system design considers requirements gathered through literature review, critical analysis of the existing systems and collaboration with our industry partners. Finally, we assessed D-ART’s design through an expert review evaluation, which generally reported positive results on the system’s goals.
keywords	Data-driven design, participatory design, design analytics, design alternatives, visual analytics, design evaluation
series	journal
last changed	2024/04/17 14:29

_id	caadria2022_33
id	caadria2022_33
authors	Alva, Pradeep, Mosteiro-Romero, Martin, Miller, Clayton and Stouffs, Rudi
year	2022
title	Digital Twin-Based Resilience Evaluation of District-Scale Archetypes
doi	https://doi.org/10.52842/conf.caadria.2022.1.525
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 525-534
summary	District-scale energy demand models can be powerful tools for understanding interactions in complex urban areas and optimising energy systems in new developments. The process of coupling characteristics of urban environments with simulation software to achieve accurate results is nascent. We developed a digital twin through a web map application for a 170ha district-scale university campus as a pilot. The impact on the built environment is simulated with pandemic (COVID-19) and climate change scenarios. The former can be observed through varying occupancy rates and average cooling loads in the buildings during the lockdown period. The digital twin dashboard was built with visualisations of the 3D campus, real-time data from sensors, energy demand simulation results from the City Energy Analyst (CEA) tool, and occupancy rates from WiFi data. The ongoing work focuses on formulating a resilience assessment metric to measure the robustness of buildings to these disruptions. This district-scale digital twin demonstration can help in facilities management and planning applications. The results show that the digital twin approach can support decarbonising initiatives for cities.
keywords	Digital twin, City Information Modelling, Planning Support System, energy demand model, SGD 11, SGD 13
series	CAADRIA
email
last changed	2022/07/22 07:34

_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
doi	https://doi.org/10.52842/conf.ecaade.2022.2.437
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
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
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last changed	2024/04/22 07:10

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