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	ecaade2021_127
id	ecaade2021_127
authors	Wang, Yuyang, Agkathidis, Asterios and Crompton, Andrew
year	2021
title	Computational Generation of Hutong Neighbourhood Maps - A shape grammar for procedural modelling to represent the historical Beijing urban structure
doi	https://doi.org/10.52842/conf.ecaade.2021.2.303
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 303-312
summary	The Hutong neighbourhoods, composed of Chinese courtyard dwellings (Siheyuan), are historically and socially significant urban spaces that embody traditional Chinese philosophy. There is a global interest in these spaces many of which face oblivion, this study presents a formal grammar for parametrically generating Hutong neighbourhoods, which replicates the morphological characteristics of historic cases. This research investigates traditional principles of urban planning of ancient Beijing, based on examples on the historical map Qianlong Jingcheng Quantu, to derive the lost design rules. These rules are then used to build up a procedural modelling process, which reveals the development of Beijing urban structure from Yuan (1271-1368) to Qing (1368-1911) dynasty. The grammar presented in the procedural modelling process contributes to the understanding of the generation of Hutong neighbourhoods. In support of traditional Chinese urban design, the grammar will be translated into an algorithm to be implemented in a computational environment by visual scripting that will generate new instances of Hutong neighbourhoods.
keywords	urban morphology; Siheyuan neighbourhood; procedural modelling; shape grammar
series	eCAADe
email
last changed	2022/06/07 07:58

_id	cdrf2021_92
id	cdrf2021_92
authors	Ana Zimbarg
year	2021
title	Bio-Design Intelligence
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_9
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	Architecture has a substantial influence worldwide as it shapes our cities, and it is made to last. Urban areas are also responsible for 70% of the world’s carbon emissions. Consequently, architects are responsible for minimising the destructive effects of construction on the environment. How can biological intelligence be inserted in architecture as a possibility to increase environmental performance? Bio-design goes further than biology-inspired approaches. Biodesign refers to incorporating living organisms as an essential component of a system, changing the natural and built environment boundaries. It contains living and machine intelligence, whether embedded in the design process or in the building itself. This paper seeks to give an overview of bio-design and how it can be seen as a strategy of thinking of new research pathways.
series	cdrf
email
last changed	2022/09/29 07:53

_id	ecaade2021_225
id	ecaade2021_225
authors	Anishchenko, Maria and Paoletti, Ingrid
year	2021
title	Yarn-Level Modeling of Non-Uniform Knitted Fabric for Digital Analysis of Textile Characteristics - From a bitmap to the yarn-level model
doi	https://doi.org/10.52842/conf.ecaade.2021.1.253
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 253-262
summary	Modern CNC weft knitting machines are capable to produce textiles with complex non-uniform structures and shapes in a single operation with minimum human intervention. The type of knit structure and the settings of the knitting machine significantly influence the fabric characteristics and its role in architectural comfort. However, there is still no open-access tool for fast and efficient analysis of textiles with consideration of their knit structure, especially if they are knitted non-uniformly. Moreover, the existing methodologies of digital modeling of the knit structure are not linked to the actual production of textiles on flat-bed knitting machines. This paper presents a tool that "reads" a bitmap image that can be as well imported into a knitting machine software and generates a yarn-level geometry of the knitted textiles, that can be further integrated into the behavior analysis software within the rhino-grasshopper environment. This methodology helps to preview and analyze knitted textiles before production and can help to optimize the programming of bespoke knitted textiles for large-scale architectural applications.
keywords	knitting; computational knitting; digital simulation; textile characteristics; textiles for architecture
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia21_160
id	acadia21_160
authors	Cao, Shicong; Zheng, Hao
year	2021
title	A POI-Based Machine Learning Method in Predicting Health
doi	https://doi.org/10.52842/conf.acadia.2021.160
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 160-169.
summary	This research aims to explore the quantitative relationship between urban planning decisions and the health status of residents. By modeling the Point of Interest (POI) data and the geographic distribution of health-related outcomes, the research explores the critical factors in urban planning that could influence the health status of residents. It also informs decision-making regarding a healthier built environment and opens up possibilities for other data-driven methods. The data source constitutes two data sets, the POI data from OpenStreetMap, and the PLACES: Local Data for Better Health dataset from CDC. After the data is collected and joined spatially, a machine learning method is used to select the most critical urban features in predicting the health outcomes of residents. Several machine learning models are trained and compared. With the chosen model, the prediction is evaluated on the test dataset and mapped geographically. The relations between factors are explored and interpreted. Finally, to understand the implications for urban design, the impact of modified POI data on the prediction of residents' health status is calculated and compared. This research proves the possibility of predicting resident's health from urban conditions with machine learning methods. The result verifies existing healthy urban design theories from a different perspective. This approach shows vast potential that data could in future assist decision-making to achieve a healthier built environment.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	cdrf2021_139
id	cdrf2021_139
authors	Shicong Cao1 and Hao Zheng
year	2021
title	A POI-Based Machine Learning Method for Predicting Residents’ Health Status
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_13
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	Health environment is a key factor in public health. Since people’s health depends largely on their lifestyle, the built environment which supports a healthy living style is becoming more important. With the right urban planning decisions, it’s possible to encourage healthier living and save healthcare expenditures for the society. However, there is not yet a quantitative relationship established between urban planning decisions and the health status of the residents. With the abundance of data and computing resources, this research aims to explore this relationship with a machine learning method. The data source is from both the OpenStreetMap and American Center for Decease Control and Prevention (CDC). By modeling the Point of Interest data and the geographic distribution of health-related outcome, the research explores the key factors in urban planning that could influence the health status of the residents quantitatively. It informs how to create a built environment that supports health and opens up possibilities for other data-driven methods in this field.
series	cdrf
email
last changed	2022/09/29 07:53

_id	caadria2021_064
id	caadria2021_064
authors	Yang, Chunxia, Liu, Mengxuan, Zhan, Ming, Lyu, Chengzhe and Fan, Zhaoxiang
year	2021
title	Research on the Influence of Microclimate on Recreation Behavior in Urban Waterfront Public Space - Based on Multi-agent Behavior Simulation
doi	https://doi.org/10.52842/conf.caadria.2021.2.417
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 417-426
summary	Microclimate is one of the important components of the city environment. Previous researches on public space focused on the influence of spatial forms on user behavior, while ignoring the microclimate elements. This makes it difficult to be authentic of further recreational behavior simulation. The study puts forward a new path to study the influence of microclimate on recreational behavior. Taking the waterfront public space as an example, through the combination of field investigation and microclimate simulation, the influence of wind, temperature, and sunshine environment on residents recreational is explored, and the influence will be merged into the recreational behavior simulation. In the process of behavior simulation, the microclimate environment classification evaluation map is used. The study committed to achieve a higher degree of adaption between behavior simulation results and actual conditions. The study introduced microclimate influence factors on the basis of the influence of urban spatial form and service facility elements on behavior activities in the past. Based on that, we optimize the simulation method of urban public space recreational behavior, and improve the accuracy of space diagnosis through showing the impact of microclimate on the behavior of people in the space more objectively and intuitively.
keywords	Behavior simulation; Microclimate; Waterfront public space
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ecaade2021_159
id	ecaade2021_159
authors	Yazicioglu, Gülin and Gürsel Dino, Ipek
year	2021
title	From Streetscape to Data - Semantic segmentation for the prediction of outdoor thermal comfort
doi	https://doi.org/10.52842/conf.ecaade.2021.1.555
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 555-562
summary	In recent years, the increasing pace of urbanization is expected to increase the temperatures in urban contexts and amplify the Urban Heat Island effect. This phenomenon has a negative impact on the urbanites' thermal comfort in outdoor spaces. Modeling and simulation-based approaches can precisely calculate outdoor thermal comfort; however, they are labor-intensive and high in computational cost. This difficulty might discourage decision-makers to consider outdoor thermal comfort conditions, which can affect their strategies at the beginning stage of design. This paper aims to propose a statistical model that can predict outdoor comfort using semantic segmentation of 2D street view images. Firstly, 78 panoramic street images of selected three streets in Istanbul are used to calculate the specific object classes that have an influence on outdoor temperature using semantic segmentation. Following, the streets' outdoor thermal comfort is calculated in Ladybug/Grasshopper. Lastly, two multi-variate regression models are built using the percentages of these object classes in each image and outdoor thermal comfort in given locations on the streets. Initial results show that the proposed regression models can predict UTCI with R2=0.78 and R2=0.80, indicating the semantic segmentation can support the calculation of outdoor comfort.
keywords	multivariate linear regression model; semantic segmentation; universal thermal climate index (UTCI)
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ascaad2021_017
id	ascaad2021_017
authors	Abouhadid, Mariam
year	2021
title	Affective Computing in Space Design: A Review of Literature of Emotional Comfort Tools and Measurements
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 330-340
summary	Architecture Digital Platforms are capable of creating buildings that provide comfort that meets human thermal, acoustic and visual needs. However, some building technologies can choose the physical energy arena of the building on the expense of the mentioned aspects of human comfort. Nevertheless, aspects like emotional and psychological human comfort exist in limited studies practiced in interior design, or in active design of public spaces and on the landscape and urban scale. It is not mandatory in building design: How different spaces affect humans and what makes an environment stressful or not. Study gathers literature theoretically and categorizes it per topic: 1) Affective computing Introduction and uses, 2) Human responses to different stimulus and environments, 3) Factors that affect humans, 4) Technologies like brain imaging and Galvanic Skin Response (GSR) that are used to measure human anxiety levels, as well as blood pressure and other indications on the person’s well-being, and some 5) Case Studies. Affective computing can be an addition to different pre- design analysis made to a project. Different areas of comfort like space dimensions, height, colour and shape can be the start of coding “Human Comfort” analysis software. Study has been restricted to previous research, and can be expanded further to experimentation. Future work aims to code it into Building Information Modelling Software.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	ascaad2021_025
id	ascaad2021_025
authors	Fekry, Ahmed; Reham El Dessuki, Mai Abdalaty
year	2021
title	Using ENVI-met to Simulate the Climatic Behavior of Green Elements in Urban Spaces
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 341-354
summary	The urban environment is nothing but the product of the permanent interaction between the physical elements that make up the urban space and the corresponding climatic factors. This relationship is similar to a chemical reaction, hence the difficulty of anticipating and dealing with such complex relationships. As a result, designers resort to the use of simulation software. Designers in the area of urban design must be fully aware of the ways to use these programs optimally and check the impact of the use of green elements within urban spaces in advance during the design process before practical implementation. This paper aims to integrate the design of urban spaces with the simulation of climatic behavior using ENVI-met climatic simulation software. It also aims to determine the impact of using the optimal ratio of green elements in urban spaces on the thermal comfort of their users (using two example urban spaces at the American University in New Cairo and Princess Noura University in Riyadh).
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	ecaade2021_046
id	ecaade2021_046
authors	Lorenz, Wolfgang E., Faller, Arnold and Wurzer, Gabriel
year	2021
title	DAttE - Detection of Attic Extensions - Workflow to analyze the potentials of roofs in an urban environment
doi	https://doi.org/10.52842/conf.ecaade.2021.1.375
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 375-384
summary	European cities like Vienna are characterized by strong growth and, as a result, by high demand for living space. Extending the attic is one way of meeting this demand. However, there is a lack of data to know which roofs are already expanded and to what extent. The city is interested in the data in two ways: firstly, in relation to the distribution of potentials (a possible change in population density, for example, has an impact on infrastructure and parking space) and, secondly, in relation to the material composition (city as a material resource). This paper provides a workflow to fill this gap of knowledge. The new methods of detecting attic extensions are described and a case study is given at the end to show workability.
keywords	point clouds; thermal detection; drone detection; participation
series	eCAADe
email
last changed	2022/06/07 07:59

_id	caadria2021_132
id	caadria2021_132
authors	Nodado, Cheska Daclag, Yogiaman, Christine and Tracy, Kenneth
year	2021
title	Towards Wind-Induced Architectural Systematization - Demonstrating the Collective Behaviour of Urban Blocks as a Design Asset
doi	https://doi.org/10.52842/conf.caadria.2021.2.447
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 447-456
summary	This paper presents the premise of collective behaviour of singular units as a design asset in an urban environment. The collaborative effect of building shapes, surface texture and the order of buildings on wind patterns in the urban were explored and analysed. The results revealed that these three factors are imperative to effectively design airflow and air velocity to create cooling effects in warm urban environments. This study intends to solve the problem of compact building blocks which create stagnant air in outdoor urban spaces that worsens outdoor urban thermal comfort. As the study involves a large scale urban area which requires tremendous simulation time, this paper would also demonstrate an attempt for an alternative workflow in studying computational fluid dynamic (CFD) through utilizing Houdini, which is an animation software to predict wind flow patterns in an urban context in a faster way which is highly beneficial for conceptual design stage. The paper explains the setup of Houdini working interface which enables the researcher to compare simulation results of varying models with ease via the switch button, and further improve simulation speed by disabling the need of remeshing the original model.
keywords	collaborative behaviour; urban blocks; wind pattern; computational fluid dynamics (CFD)
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	ecaade2021_153
id	ecaade2021_153
authors	Stojanovic, Djordje and Vujovic, Milica
year	2021
title	Towards Prediction and Optimisation for Outdoor Evaporative Cooling Systems in Architectural Design
doi	https://doi.org/10.52842/conf.ecaade.2021.2.401
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 401-408
summary	The paper presents a blueprint of a simulation model and structures the processing of information that sensors in real life would provide to improve the efficiency of the cooling system and increase the thermal comfort of occupants in an outdoor environment. It outlines an evidence-based technique for evaluating perceived benefits that would arise from the introduction of Wireless Sensor Networks (WSNs) and Computational Techniques (CTs) to evaporative cooling systems. The initial results indicate how data that would be gathered by sensory devices on occupancy and microclimatic conditions can be employed for the prediction and optimisation of the system to narrow the time gap between peak usage and nozzle activation to minimise resource use and maximise occupants' comfort. The larger objective of the study to help mitigate the effects of rising temperatures in urban environments and support the future use of outdoor public spaces. In the longer run, the study aims to explore the role of computationally enhanced microclimate control at a large scale, integral to innovative approaches to outdoor public spaces design.
keywords	Human-Building Interaction; Interactive Architecture; Responsive Environments; Evaporative Cooling; Outdoor Public Space
series	eCAADe
email
last changed	2022/06/07 07:56

_id	caadria2021_368
id	caadria2021_368
authors	Cheng, Fang-Che, Yen, Chia-Ching and Jeng, Tay-Sheng
year	2021
title	Object Recognition and User Interface Design for Vision-based Autonomous Robotic Grasping Point Determination
doi	https://doi.org/10.52842/conf.caadria.2021.1.633
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 633-642
summary	The integration of Robot Operating System (ROS) with Human-Machine Collaboration (HMC) currently represents the future tendency toward Autonomous Robotic In-Situ Assembly on Construction Sites. In comparison with the industrial environment, construction sites nowadays are extremely complex and unpredictable, due to the different building components and customized design.This paper presents a visual-based object recognition method and user interface enabling on-site robot arms to autonomously handle building components, to build specific designs without the influence of material, shape, and environment. The implementation is an object recognition approach that serves with KUKA industrial robotic manipulator along with an RGB-depth stereo camera in an eye-in-hand configuration to grasp and manipulate found elements to build the desired structure. Opportunities for using vision-based autonomous robotic in-situ assembly on construction sites are reviewed.
keywords	computer vision; robot operating system; object recognition; pose estimate; grasping point determination; human-robot collaboration
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ascaad2021_029
id	ascaad2021_029
authors	Goubran, Sherif; Carmela Cucuzzella, Mohamed Ouf
year	2021
title	Eco-Nudging: Interactive Digital Design to Solicit Immediate Energy Actions in The Built Space
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 177-189
summary	In the built space, building occupants, their behaviours and control actions are research areas that have gained a lot of attention. This is well justified since energy behaviours can result in differences of up to 25% in building energy consumption. Previous research recommends exploring ways to influence occupants' energy behaviour – through eco-feedback and by directly engaging occupants with building controls. Very little attention has been given to the role digital art and design can play in soliciting and changing human energy-related actions and behaviours in the built space. This paper proposes a new process that combines eco-feedback, gamification, and ecological digital art to trigger occupants to take immediate and precise control actions in the built space. We design, deploy and test this by creating an immersive human-building-interaction apparatus, which we place in a month-long exhibition. This experimental interface was informed by a novel vision for engagement-based human-building interactions deeply rooted in aesthetics, digital art and design. It also uses digital art to mediate between the occupants and energy-performance of spaces by redefining their relationship with and perception of energy – moving from metrics and quantities understanding to one that is art and emotion-based. The analysis reveals that this new type of human-engagement-based interactive building-control mechanism can add a significant layer of influence on energy-related actions – without revoking the individuals' ability to control their environment. It also highlights digital design and art's power in guiding actions and interactions with the built space.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	ascaad2021_130
id	ascaad2021_130
authors	Hossameldin, Hala; Ramy Bakir, Sherif Elfiki
year	2021
title	Conditions of Tacit Knowledge Transfer in Architectural Computational Design: An Analytical Review
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 43-56
summary	This paper investigates the transfer of tacit knowledge between designers and the computer in architectural design. Most research efforts in computational architectural design recently focus on the tangible and technical domains of the design process. This resulted in a lack of understanding of the role of other qualitative intangible domains, such as tacit design knowledge, in the computational design process. Despite the attempts of a few recent studies to tackle some tacit aspects within design computing, little research extended further to study how tacit knowledge can be transferred between different entities of the computational design process and how it can be represented. Through an analytical review, the paper will first discuss the notions of tacit knowledge in different disciplines, with particular emphases on architecture. Second, the study reviews the conditions and factors that influence the transfer of tacit knowledge between humans, and accordingly between the human and the computer, as addressed by different architects and authors. The study particularly emphasizes the significance of a human-computer symbiotic relationship for the process of tacit knowledge transfer to take place. In conclusion, this paper presents a theoretical basis for understanding and facilitating the transfer and representation of tacit knowledge in a computational design environment.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	sigradi2021_19
id	sigradi2021_19
authors	Longue Martins, Iago and Rabello Lyra, Ana Paula
year	2021
title	PARAMETREE: An Algorithmic-Parametric Tool for Evaluating the Contribution of the Trees on Rainwater Management
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 1447–1461
summary	This paper explores the application of an algorithmic-parametric tool that uses urban forestry as a design strategy to reduce the occurrence of flooding. The study was carried out following three main stages: (1) a literature review on the capacity of rainwater retention in tree species with dense canopies; (2) the creation of an algorithmic-parametric tool using C# scripting in Grasshopper to calculate the influence of the trees in reducing the runoff coefficient; and (3) a simulation using Rhinoceros and Grasshopper to verify the performance of such tool. The results show a new method of calculation to estimate the runoff formation in urbanized areas as well as it confirms the contribution of the trees in mitigating flooding.
keywords	Parametric analysis, Biophilic urbanism, Urban planning, Drainage, Urban afforestation.
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	acadia21_502
id	acadia21_502
authors	Mytcul, Anna
year	2021
title	ARchitect
doi	https://doi.org/10.52842/conf.acadia.2021.502
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 502-511.
summary	This research investigates gaming as a framework for design democratization in architecture, where the end user is the key decisionmaker in the design process. ARchitect is a multisensory game that promotes and explores the educational aspects of learning games and their influence on end user engagement with house co-design. This combinatorial game relies on an augmented reality (AR) application accessible through a smartphone, serving as a low-threshold tool for converting architectural drawings into 3D models in real time and using AR technology for design evaluation. By allowing for learning through playing, ARchitect provides alternative ways of gaining knowledge about design and architecture and empowers non-experts to take active and informed positions in shaping their future urban environments on a micro-scale, rethinking conventional market relations and exploring emerging personal and public values. The ARchitect game challenges conventional participatory design where an architect plays an essential role in facilitation of the design process and translation of end users’ design proposals. In contrast, the proposed game system allows non-architect players to autonomously produce and access design solutions through embedded computational simulation by an AR application, thus giving an equal chance to non-professionals to express their design visions and become aware of potential implications of their ideas. By providing free access to the game contents through the ARchitect platform and a playful user experience by which design principles can be learned, this game will inspire the general public to engage in conversation about home design, eventually spreading architectural literacy to less-privileged communities.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ascaad2021_004
id	ascaad2021_004
authors	Ali, Nouran; Samir Hosny, Ahmed Abdin
year	2021
title	Thermal Performance of Nanomaterials of a Medium Size Office Building Envelope: With a Special Reference to Hot Arid Climatic Zone of Egypt
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 385-396
summary	Global warming is becoming a huge threat in the 21st century. The building is the main contributor to energy consumption and greenhouse gas emissions which play an important role in global warming. Using new technologies provides a step towards a better-built environment. Nanotechnology is an emerging technology that provides innovative materials that integrate with the building envelope to enhance energy efficiency and decrease energy consumption in buildings. Many Nano products are a promising candidate for building thermal insulation and increasing the building’s efficiency. This paper aims to reach minimum energy consumption by investigating Nanomaterials thermal performance on a building’s envelope in a hot arid climate. An office building in Cairo, Egypt is chosen as a case study. The paper presents an empirical/applied inquiry that is based on a computer simulation using Design Builder software. Energy consumption is calculated for different cases; the base model of the office building without using nanomaterials, and several nano models using nanomaterials. The results indicate that the use of Nanomaterials can enhance the thermal performance of the office building and save about 13.44 % of the annual energy consumption of the building.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	caadria2021_216
id	caadria2021_216
authors	Aman, Jayedi, Tabassum, Nusrat, Hopfenblatt, James, Kim, Jong Bum and Haque, MD Obidul
year	2021
title	Optimizing container housing units for informal settlements - A parametric simulation & visualization workflow for architectural resilience
doi	https://doi.org/10.52842/conf.caadria.2021.1.051
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 51-60
summary	In rapidly growing cities like Dhaka, Bangladesh, sustainable housing in urban wetlands and slums present a challenge to more affordable and livable cities. The Container Housing System (CHS) is among the latest methods of affordable, modular housing quickly gaining acceptance among local stakeholders in Bangladesh. Even though container houses made of heat-conducting materials significantly impact overall energy consumption, there is little research on the overall environmental impact of CHS. Therefore, this study aims to investigate the performance of CHS in the climatic context of the Korail slum in Dhaka. The paper proposes a building envelope optimization and visualization workflow utilizing parametric cluster simulation modeling, multi-objective optimization (MOO) algorithms, and virtual reality (VR) as an immersive visualization technique. First, local housing and courtyard patterns were used to develop hypothetical housing clusters. Next, the CHS design variables were chosen to conduct the MOO analysis to measure Useful Daylight Illuminance and Energy Use Intensity. Finally, the prototype was integrated into a parametric VR environment to enable local stakeholders to walk through the clusters with the goal of generating feedback. This study shows that the proposed method can be implemented by architects and planners in the early design process to help improve the stakeholders understanding of CHS and its impact on the environment. It further elaborates on the implementation results, challenges, limitations of the parametric framework, and future work needed.
keywords	Multi-objective Optimization; Building Energy Use; CHS; Informal Settlements; Parametric VR
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ascaad2021_074
id	ascaad2021_074
authors	Belkaid, Alia; Abdelkader Ben Saci, Ines Hassoumi
year	2021
title	Human-Computer Interaction for Urban Rules Optimization
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 603-613
summary	Faced with the complexity of manual and intuitive management of urban rules in architectural and urban design, this paper offers a collaborative and digital human-computer approach. It aims to have an Authorized Bounding Volume (ABV) which uses the best target values of urban rules. It is a distributed constraint optimization problem. The ABV Generative Model uses multi-agent systems. It offers an intelligent system of urban morphology able to transform the urban rules, on a given plot, into a morphological delimitation permitted by the planning regulations of a city. The overall functioning of this system is based on two approaches: construction and supervision. The first is conducted entirely by the machine and the second requires the intervention of the designer to collaborate with the machine. The morphological translation of urban rules is sometimes contradictory and may require additional external relevance to urban rules. Designer arbitration assists the artificial intelligence in accomplishing this task and solving the problem. The Human-Computer collaboration is achieved at the appropriate time and relies on the degree of constraint satisfaction with fitness function. The resolution of the distributed constraint optimization problem is not limited to an automatic generation of urban rules, but involves also the production of multiple optimal-ABV conditioned both by urban constraints as well as relevance, chosen by the designer.
series	ASCAAD
email
last changed	2021/08/09 13:13

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