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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Reformat results as: short short into frame detailed detailed into frame

_id	caadria2019_625
id	caadria2019_625
authors	Konieva, Kateryna, Knecht, Katja and Koenig, Reinhard
year	2019
title	Collaborative Large-Scale Urban Design with the Focus on the Agent-Based Traffic Simulation
doi	https://doi.org/10.52842/conf.caadria.2019.2.221
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 221-230
summary	The better integration of the knowledge and expertise from different disciplines into urban design and the creation of more interdisciplinary and collaborative work processes to accommodate this have been under discussion in related research for decades. Nevertheless, many barriers preventing a seamless collaborative work flow still persist. In this paper we present an experiment taking place under real-world conditions, which outlines an alternative way for more efficient collaboration by focusing on the design process rather than the result and thus providing additional insights for all parties involved. A parametric design approach was chosen to help mediate between the areas of expertise involved supporting the smooth transition of data, the mutual translation of design feedback and better informed design decisions as an outcome. The case study presented in this paper exemplifies the application of the approach in a design project on masterplan scale integrating inputs from urban design, economics and mobility experts; and shows the opportunity for transforming the formerly segregated design process into a platform for transparent negotiations.
keywords	parametric urban design; urban mobility; collaborative design
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2019_202
id	caadria2019_202
authors	Yang, Chunxia, Gu, Zhuoxing and Yao, Ziying
year	2019
title	Adaptive Urban Design Research based on Multi-Agent System - Taking The Urban Renewal Design Of Shanghai Hongkou Port Area As An Example
doi	https://doi.org/10.52842/conf.caadria.2019.1.225
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 225-234
summary	Utilizing digital method to establish a multi-agent simulation platform and establish an interactive simulation between site elements and agents particles behavior. In this study, urban space could not have the absolute frozen state, it is always evolving and self-renewing. We hope to integrate such unstable relationships into urban design methods and programs. By constructing various type of agent particles and the interaction behaviors, we not only directly simulate the flow of people or traffic, but also simulate the public space relationship such as line of sight space, waterfront space accessibility, commercial supporting function layout, and historical and cultural block attraction from a more abstract level. From macro to micro, the result of spatial simulation has an intrinsic close causal relationship with the site's landform, building status, site function, and planning pattern, can be the basis for space generation.
keywords	Self-organization; Multi-agent System; Cluster City; Particle Personality; Site Elements
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ijac201917206
id	ijac201917206
authors	Ackerman, Aidan; Jonathan Cave, Chien-Yu Lin and Kyle Stillwell
year	2019
title	Computational modeling for climate change: Simulating and visualizing a resilient landscape architecture design approach
source	International Journal of Architectural Computing vol. 17 - no. 2, 125-147
summary	Coastlines are changing, wildfires are raging, cities are getting hotter, and spatial designers are charged with the task of designing to mitigate these unknowns. This research examines computational digital workflows to understand and alleviate the impacts of climate change on urban landscapes. The methodology includes two separate simulation and visualization workflows. The first workflow uses an animated particle fluid simulator in combination with geographic information systems data, Photoshop software, and three-dimensional modeling and animation software to simulate erosion and sedimentation patterns, coastal inundation, and sea level rise. The second workflow integrates building information modeling data, computational fluid dynamics simulators, and parameters from EnergyPlus and Landsat to produce typologies and strategies for mitigating urban heat island effects. The effectiveness of these workflows is demonstrated by inserting design prototypes into modeled environments to visualize their success or failure. The result of these efforts is a suite of workflows which have the potential to vastly improve the efficacy with which architects and landscape architects use existing data to address the urgency of climate change.
keywords	Modeling, simulation, environment, ecosystem, landscape, climate change, sea level rise, urban heat island
series	journal
email
last changed	2019/08/07 14:04

_id	ecaadesigradi2019_068
id	ecaadesigradi2019_068
authors	Agirbas, Asli
year	2019
title	The Effect of Complex Wall Forms on the Room Acoustics - An experimental case study
doi	https://doi.org/10.52842/conf.ecaade.2019.2.097
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 97-102
summary	The complexity of the wall form affects the acoustics of the space. In this study, the effect of the complex form walls produced by nCloth dynamic simulation on the acoustics of an office space was investigated. In this research, reverberation time and Speech Transmission Index (STI) values of the pilot office space with one wall having complex form and the office space with all of the walls as flat were measured by acoustic simulation. As a result of the comparison, it has been found that, within speech intelligibility and reverberation time, the acoustics of the space with one wall having complex form is better than the acoustics of the space with all the walls as flat.
keywords	nCloth; Acoustics; Complex forms; Modeling & simulation
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	ijac201917105
id	ijac201917105
authors	Agkathidis, Asterios; Yorgos Berdos and André Brown
year	2019
title	Active membranes: 3D printing of elastic fibre patterns on pre-stretched textiles
source	International Journal of Architectural Computing vol. 17 - no. 1, 74-87
summary	There has been a steady growth, over several decades, in the deployment of fabrics in architectural applications; both in terms of quantity and variety of application. More recently, three-dimensional printing and additive manufacturing have added to the palette of technologies that designers in architecture and related disciplines can call upon. Here, we report on research that brings those two technologies together – the development of active membrane elements and structures. We show how these active membranes have been achieved by laminating three-dimensional printed elasto-plastic fibres onto pre-stretched textile membranes. We report on a set of experimentations involving one-, two- and multi-directional geometric arrangements that take TPU 95 and polypropylene filaments and apply them to Lycra textile sheets, to form active composite panels. The process involves a parameterised design, actualised through a fabrication process including stress-line simulation, fibre pattern three-dimensional printing and the lamination of embossed patterns onto a pre-stretched membrane; followed by the release of tension afterwards in order to allow controlled, self-generation of the final geometry. Our findings document the investigation into mapping between the initial two-dimensional geometries and their resulting three-dimensional doubly curved forms. We also reflect on the products of the resulting, partly serendipitous, design process.
keywords	Digital fabrication, three-dimensional printing, parametric design, material computation, fabrics
series	journal
email
last changed	2019/08/07 14:04

_id	cf2019_054
id	cf2019_054
authors	Bae, Jiyoon and Daekwon Park
year	2019
title	Weeping Brick The Modular Living Wall System Using 3D Printed Porous Ceramic Materials
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 437
summary	The goal of this research is to design and fabricate a modular living wall brick system that purifies and cools air for various indoor environments. The research utilizes ceramic 3d printing techniques for fabrication; and living plants in conjunction with evaporative cooling techniques for indoor air quality control. The brick is made of soil which become porous after firing or drying. Water from the reservoirs slowly weep through the porous brick, creating a layer of water on the surface of the brick. The air movement around the saturated brick creates evaporative cooling and the hydro-seeded plants absorb water from the surface. The shape and texture of the Weeping Brick maximizes the cooling effect via large surface area. As an aggregated wall system, the water circulates from unit to unit by gravity through interconnected reservoirs embedded within each unit. The plants and moss transform the Weeping Brick into a living wall system, purifying and conditioning the indoor air.
keywords	Living Wall System, Modular Brick, Ceramic 3D Printing, Evaporative Cooling
series	CAAD Futures
email
last changed	2019/07/29 14:18

_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
doi	https://doi.org/10.52842/conf.ecaade.2024.2.079
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
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	caadria2019_396
id	caadria2019_396
authors	Cao, Rui, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2019
title	Quantifying Visual Environment by Semantic Segmentation Using Deep Learning - A Prototype for Sky View Factor
doi	https://doi.org/10.52842/conf.caadria.2019.2.623
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 623-632
summary	Sky view factor (SVF) is the ratio of radiation received by a planar surface from the sky to that received from the entire hemispheric radiating environment, in the past 20 years, it was more applied to urban-climatic areas such as urban air temperature analysis. With the urbanization and the development of cities, SVF has been paid more and more attention on as the important parameter in urban construction and city planning area because of increasing building coverage ratio to promote urban forms and help creating a more comfortable and sustainable urban residential building environment to citizens. Therefore, efficient, low cost, high precision, easy to operate, rapid building-wide SVF estimation method is necessary. In the field of image processing, semantic segmentation based on deep learning have attracted considerable research attention. This study presents a new method to estimate the SVF of residential environment by constructing a deep learning network for segmenting the sky areas from 360-degree camera images. As the result of this research, an easy-to-operate estimation system for SVF based on high efficiency sky label mask images database was developed.
keywords	Visual environment; Sky view factor; Semantic segmentation; Deep learning; Landscape simulation
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_250
id	ecaadesigradi2019_250
authors	Czyñska, Klara
year	2019
title	Visual Impact Analysis of Large Urban Investments on the Cityscape
doi	https://doi.org/10.52842/conf.ecaade.2019.3.297
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 297-304
summary	The article presents the assessment method for large (horizontally spread) urban investment and its visual impact on the cityscape using digital analyses. The visual impact assessment is often used in relation to facilities which dominate in the cityscape, mainly tall buildings. Various studies, however, examine the impact of wide but relatively low-rising buildings and their impact on the cityscape. The article presents a methodology for the assessment of the visual impact and a case study for a building facility comprising several tightly developed and medium height blocks of buildings in a city center of a significant historical value in Gdañsk, Poland. The research has been based on the Visual Impact Size method (VIS) and a city model consisting of a regular cloud of points (Digital Surface Model). The simulation has been developed using a dedicated C++ software (developed by author). The study aimed at assessing the following: a) to what degree such an urban investment can influence the cityscape; b) how the impact can be analyzed using digital techniques, and c) what input parameters of the analysis are crucial for satisfactory accuracy of its results.
keywords	digital cityscape analysis; urban skyline; large urban investments; visual impact; VIS method
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	caadria2019_406
id	caadria2019_406
authors	Fitriawijaya, Adam, Hsin-Hsuan, Tsai and Taysheng, jeng
year	2019
title	A Blockchain Approach to Supply Chain Management in a BIM-Enabled Environment
doi	https://doi.org/10.52842/conf.caadria.2019.2.411
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 411-420
summary	The blockchain is a distributed ledger managed by a peer to peer network that stores all transaction records. The distributed ledger technology offers new possibilities, promising to ensure that data is secure, decentralized and incomparable. In the Architecture, Engineering, Construction (AEC) industry, Building Information Modeling (BIM) has quickly become a standard platform where all parties work together on a single and shared model for collaboration. The issues of Supply Chain Management (SCM) within BIM can be identified in BIM maturity level, based on PAS1193 that developed through Common Data Environment (CDE). The research strategy is to make model and simulation of SCM using BIM and create CDE to become decentralized and integrate the blockchain technology. The smart contract system validates every material and configuration of components within the model from the design stage until the operation stage. Traceability and auditability through an immutable historic eventually be more visible and allow real-time tracking of a material to a construction site providing a history from the origin.
keywords	Blockchain; BIM; Supply Chain
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	ecaadesigradi2019_065
id	ecaadesigradi2019_065
authors	Fukuda, Tomohiro, Novak, Marcos and Fujii, Hiroyuki
year	2019
title	Development of Segmentation-Rendering on Virtual Reality for Training Deep-learning, Simulating Landscapes and Advanced User Experience
doi	https://doi.org/10.52842/conf.ecaade.2019.2.433
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 433-440
summary	Virtual reality (VR) has been suggested for various purposes in the field of architecture, engineering, and construction (AEC). This research explores new roles for VR toward the super-smart society in the near future. In particular, we propose to develop post-processing rendering, segmentation-rendering and shadow-casting rendering algorithms for novel VR expressions to enable more versatile approaches than the normal photorealistic red, green, and blue (RGB) expressions. We succeeded in applying a wide variety of VR renderings in urban-design projects after implementation. The developed system can create images in real time to train deep-learning algorithms, can also be applied to landscape analysis and contribute to advanced user experience.
keywords	Super-smart society; Virtual Reality; Segmentation; Deep-learning; Landscape simulation; Shader
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:50

_id	caadria2019_245
id	caadria2019_245
authors	Jiaxin, Zhang, Yunqin, Li, Haiqing, Li and Xueqiang, Wang
year	2019
title	Sensitivity Analysis of Thermal Performance of Granary Building based on Machine Learning
doi	https://doi.org/10.52842/conf.caadria.2019.1.665
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 665-674
summary	The granary building form has significant effects on thermal performance, especially in hot climate regions. This research is focused on exploring the influences of parameters relevant to building form design on thermal performance for granary buildings in Jiangsu and Anhui, China(both provinces belong to the hot summer region). The usual method is to use simulation software to perform a sensitivity analysis of thermal performance to assess the impacts of granary design parameters and identify the essential characteristics. However, many factors are affecting the thermal performance of granary buildings. The use of traditional energy simulation software requires calculation and analysis of a large number of models. In this study, we build a machine learning model to predict the thermal performance of granary buildings and identify the most influential design parameters of thermal performance in granary building. The input parameters include outdoor temperature, building height, aspect ratio, orientation, heat transmission coefficient of the wall and roof, and overall scale. The results show that the overall building scale is the most influential variable to the annual electricity consumption for cooling, whereas the heat transmission coefficient of the roof is the most influential to the change of the indoor temperature.
keywords	Sensitivity analysis; Artificial Neural Networks (ANNs); Thermal performance; Granary building
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2019_298
id	caadria2019_298
authors	Karoji, Gen, Hotta, Kensuke, Hotta, Akito and Ikeda, Yasushi
year	2019
title	Pedestrian Dynamic Behaviour Modeling - An application to commercial environment using RNN framework
doi	https://doi.org/10.52842/conf.caadria.2019.1.281
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 281-290
summary	The research of developing and improving pedestrian simulation model is essential in the process of analysing, evaluating and generating the architectural spaces that can not only satisfy circulation design condition but also promote sales by attracting customers. In terms of programming the simulation for commercial environment, current study attempts to use shortest-path algorithm generally and these results suggested that the model can reproduce approximate real trajectory within given environment. However, these studies also mentioned about necessity of considering shopper internal state and visual field. In this paper, in order to further incorporate the dynamic internal state (memory) into simulation model, we propose using iterative algorithm based on recurrent neural network (RNN) framework which allow it to exhibit temporal dynamic behaviour for a time sequence. Finally, we demonstrate the effectiveness of these algorithms we introduce and assess the combination of multiple algorithms and calibration of probability by comparing with trajectories of the experiment.
keywords	Pedestrian simulation; Algorithm; RNN; Commercial environment
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2020_431
id	caadria2020_431
authors	Kim, Jong Bum, Balakrishnan, Bimal and Aman, Jayedi
year	2020
title	Environmental Performance-based Community Development - A parametric simulation framework for Smart Growth development in the United States
doi	https://doi.org/10.52842/conf.caadria.2020.1.873
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 873-882
summary	Smart Growth is an urban design movement initiated by Environmental Protection Agency (EPA) in the United States (Smart Growth America, 2019). The regulations of Smart Growth control urban morphologies such as building height, use, position, section configurations, faÃ§ade configurations, and materials, which have an explicit association with energy performances. This research aims to analyze and visualize the impact of Smart Growth developments on environmental performances. This paper presents a parametric modeling and simulation framework for Smart Growth developments that can model the potential community development scenarios, simulate the environmental footprints of each parcel, and visualize the results of modeling and simulation. We implemented and examined the proposed framework through a case study of two Smart Growth regulations: Columbia Unified Development Code (UDC) in Missouri (City of Columbia Missouri, 2017) and Overland Park Downtown Form-based Code (FBC) in Kansas City (City of Overland Park, 2017, 2019). Last, we discuss the implementation results, the limitations of the proposed framework, and the future work. We anticipate that the proposed method can improve stakeholders' understanding of how Smart Growth developments are associated with potential environmental footprints from an expeditious and thorough exploration of what-if scenarios of the multiple development schemes.
keywords	Smart Growth; Building Information Modeling (BIM); Parametric Simulation; Solar Radiation
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	acadia19_664
id	acadia19_664
authors	Koshelyuk, Daniil; Talaei, Ardeshir; Garivani, Soroush; Markopoulou, Areti; Chronis, Angelo; Leon, David Andres; Krenmuller, Raimund
year	2019
title	Alive
doi	https://doi.org/10.52842/conf.acadia.2019.664
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 664-673
summary	In the context of data-driven culture, built space still maintains low responsiveness and adaptability. Part of this reality lies in the low resolution of live information we have about the behavior and condition of surfaces and materials. This research addresses this issue by exploring the development of a deformation-sensing composite membrane material system following a bottom-up approach and combining various technologies toward solving related technical issues—exploring conductivity properties of graphene and maximizing utilization within an architecture-related proof-of-concept scenario and a workflow including design, fabrication, and application methodology. Introduced simulation of intended deformation helps optimize the pattern of graphene nanoplatelets (GNP) to maximize membrane sensitivity to a specific deformation type while minimizing material usage. Research explores various substrate materials and graphene incorporation methods with initial geometric exploration. Finally, research introduces data collection and machine learning techniques to train recognition of certain types of deformation (single point touch) on resistance changes. The final prototype demonstrates stable and symmetric readings of resistance in a static state and, after training, exhibits an 88% prediction accuracy of membrane shape on a labeled sample data-set through a pre-trained neural network. The proposed framework consisting of a simulation based, graphene-capturing fabrication method on stretchable surfaces, and includes initial exploration in neural network training shape detection, which combined, demonstrate an advanced approach to embedding intelligence.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:51

_id	acadia19_654
id	acadia19_654
authors	Maierhofer, Mathias; Soana, Valentina; Yablonina, Maria; Erazo, Seiichi Suzuki; Körner, Axel; Knippers, Jan; Menges, Achim
year	2019
title	Self-Choreographing Network
doi	https://doi.org/10.52842/conf.acadia.2019.654
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 654-663
summary	The aim of this research is to challenge the prevalent separation between (digital) design and (physical) operation processes of adaptive and interactive architectural systems. The linearity of these processes implies predetermined material or kinetic behaviors, limiting performances to those that are predictable and safe. This is particularly restricting with regard to compliant or flexible material systems, which exhibit significant kinetic and thus adaptive potential, but behave in ways that are difficult to fully predict in advance. In this paper we present a hybrid approach: a real-time, interactive design and operation process that enables the (material) system to be self-aware, fully utilizing and exploring its kinetic design space for adaptive purposes. The proposed approach is based on the interaction of compliant materials with embedded robotic agents, at the interface between digital and physical. This is demonstrated in the form of a room-scale spatial architectural robot, comprising networks of linear elastic components augmented with robotic joints capable of sensing and two axis actuation. The system features both a physical instance and a corresponding digital twin that continuously augments physical performances based on simulation feedback informed by sensor data from the robotic joints. With this setup, spatial adaptation and reconfiguration can be designed in real-time, based on an openended and cyber-physical negotiation between numerical, robotic, material, and human behaviors, in the context of a physically deployed structure and its occupants.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:59

_id	caadria2019_345
id	caadria2019_345
authors	Marschall, Max and Burry, Jane
year	2019
title	Can the Use of Stochastic Models of Occupants' Environmental Control Behavior Influence Architectural Design Outcomes? - How field data can influence design outcomes
doi	https://doi.org/10.52842/conf.caadria.2019.1.715
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 715-724
summary	Thermal comfort research has shown that natural ventilation can reduce energy consumption while increasing comfort. However, giving occupants control over their environment introduces uncertainty into building performance which is challenging to emulate using current simulation techniques. Traditionally, window operation is modelled deterministically, for instance by assuming windows to be opened at a predefined temperature. Studies have shown this to be inaccurate, often causing large discrepancies between simulated and actual performance; instead, probabilistic models have emerged based on field study data. The literature on this topic is currently limited to building science and lacks an analysis of how these insights may affect architecture. In a design study, we used evolutionary computation to determine comfort-optimized housing designs for various climates, each time comparing the results of both window operation models. The resulting designs varied considerably; most notably, using the stochastic approach resulted in more shading elements, especially in warmer climates.
keywords	window operation model; stochastic; natural ventilation; thermal comfort; occupant behavior
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ecaadesigradi2019_287
id	ecaadesigradi2019_287
authors	Martin Iglesias, Rodrigo, Guzzardo, Paul and Cardon, Gustavo
year	2019
title	The Digital Street Lab in a Box - A tool-kit for surviving in the contemporary public space
doi	https://doi.org/10.52842/conf.ecaade.2019.1.711
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 711-718
summary	This paper describes two workshops raising awareness of the complexity of the interactions between digital and non-digital space, networks, devices, and systems. The exercises are included in broader research that deals with the human condition in the contemporary and future cities, focusing on the relationship between public space and weaponized data as a threat but also as an opportunity to act. A new way to understand and operate the street must be developed, with new epistemic assemblages, which allow us to avoid dystopian or technocratic visions in order to think collectively in our future human habitat. We offer here a toolkit, a series of strategies, to cope with the overwhelming complexity and act. The research is still open and the present paper shows the most recent experiences of a twenty-year journey.
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:59

_id	caadria2019_318
id	caadria2019_318
authors	Martinho, Helena, BelÃ©m, Catarina, LeitÃ£o, AntÃ³nio, Loonen, Roel and Gomes, M. GlÃ³ria
year	2019
title	Algorithmic Design and Performance Analysis of Adaptive FaÃ§ades
doi	https://doi.org/10.52842/conf.caadria.2019.1.685
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 685-694
summary	Building performance simulation tools have the potential for aiding the decision-making process in early design stages of an architectural project. As traditional simulation tools are based on a static design and adaptive faÃ§ades encompass an envisioned movement of construction elements, there is a lack of supporting tools and workflows that can correctly evaluate the performance of such building envelopes at an early stage. The presented ongoing research focuses on developing efficient parametric performance-based approaches for assessing the energy consumption in buildings with adaptive faÃ§ades, combining generative architectural design and performance analysis in a seamless workflow. To this end, we combine a new algorithmic design research tool with the well-established whole-building simulation engine EnergyPlus. The purpose of linking both tools lies in the possibility of generating and simulating models with adaptive faÃ§ade mechanisms through a single script, evaluating and using the simulation results to adjust the model's parameters and develop optimized control strategies.
keywords	Building performance simulation; Adaptive faÃ§ades; Algorithmic design; Energy analysis
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	lasg_whitepapers_2019_221
id	lasg_whitepapers_2019_221
authors	Oomen, Paul; Poul Holleman and Salvador Breed
year	2019
title	Integrating Sound in Living Architecture Systems; Application of 4DSOUND in Kinetic Sculpture and Architectural Design
source	Living Architecture Systems Group White Papers 2019 [ISBN 978-1-988366-18-0] Riverside Architectural Press: Toronto, Canada 2019. pp.221 - 234
summary	We elaborate on results of our collaborations with Philip Beesley and the Living Architecture Systems Group over the past year. Instead of additional layers of material, spatial sound interweaves meaningful fabric to sculptural form and living architecture. An architectural design now can be embedded within a sonic field (exterior), or spatial sound can form itself inside sculptural objects (interior). 4DSOUND has evolved in implementing irregular speaker setups to enhance sound projection and create applied instrumental possibilities of composing with spatial sound in the sculptural realm. We will further discuss developments regarding the integration of the 4DSOUND Engine to control other media like light, kinetics, and sensor interfaces. The paper will conclude with future research and objectives.
keywords	living architecture systems group, organicism, intelligent systems, design methods, engineering and art, new media art, interactive art, dissipative systems, technology, cognition, responsiveness, biomaterials, artificial natures, 4DSOUND, materials, virtual projections,
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last changed	2019/07/29 14:02

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