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	caadria2021_173
id	caadria2021_173
authors	Xu, Wenzhao, Huang, Xiaoran and Kimm, Geoff
year	2021
title	Tear Down the Fences: Developing ABM Informed Design Strategies for Ungating Closed Residential Communities - Developing ABM informed design strategies for ungating closed residential communities
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. 467-477
doi	https://doi.org/10.52842/conf.caadria.2021.2.467
summary	Embedded in Chinas urbanization process, the growth of gated residential estates has gradually induced severance of urban spaces, resulting in an underutilization of public amenities, a lack of walkable permeability, and congestion of traffic. Responding to these negative effects on urban development, the CPC has released a guideline in February 2016 to prohibit the development of any new closed residential areas in principle and to advocate ungated communities. In this paper, we utilized ABM simulation analysis to test different degrees of openness, the position of new entrances/openness, and pedestrian network typologies, aiming to explore feasible strategies to accommodate the new urban design agenda. A series of typical gated compounds in Beijing were selected for comparative case studies, conducted under different degrees of openness of each case and under diverse ungating modes between cases. On the basis of these analyses, we summarized a sequence of pedestrian-centric design strategies, seeking to increase the communities permeability and walkability by suggesting alternative internal and external road network design options for Beijing urban renewal. By integrating quantified simulation into the empirical method of urban design, our research can positively assist and inform urban practitioners to propose a more sustainable urbanity in the future.
keywords	Gated community; agent-based modeling; pedestrian simulation; computer-aided urban design; road network optimization
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia21_512
id	acadia21_512
authors	Liu, Zidong
year	2021
title	Topological Networks Using a Sequential Method
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. 512-519.
doi	https://doi.org/10.52842/conf.acadia.2021.512
summary	The paper shares preliminary results of a novel sequential method to expand existing topology-based generative design. The approach is applied to building an interactive community design system based on a mobile interface. In the process of building an interactive design system, one of the core problems is to harness the complex topological network formed by user demands. After decades of graph theory research in architecture, a consensus on self-organized complex networks has emerged. However, how to convert input complex topological data into spatial layouts in generative designs is still a difficult problem worth exploring. The paper proposes a way to simplify the problem: in some cases, the spatial network of buildings can be approximated as a collection of sequences based on circulation analysis. In the process of network serialization, the personalized user demands are transformed into activity patterns and further into serial spaces. This network operation gives architects more room to play with their work. Rather than just designing an algorithm that directly translates users’ demands into shape, architects can be more actively involved in organizing spatial networks by setting up a catalogue of activity patterns of the residents, thus contributing to a certain balance of top-down order and bottom-up richness in the project. The research on data serialization lays a solid foundation for the future exploration of Recurrent Neural Network (RNN) applied to generative design.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ascaad2021_021
id	ascaad2021_021
authors	Albassel, Mohamed; Mustafa Waly
year	2021
title	Applying Machine Learning to Enhance the Implementation of Egyptian Fire and Life Safety Code in Mega Projects
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. 7-22
summary	Machine Learning has become a significant research area in architecture; it can be used to retrieve valuable information for available data used to predict future instances. the purpose of this research was to develop an automated workflow to enhance the implementation of The Egyptian fire & life safety (FLS) code in mega projects and reduce the time wasted on the traditional process of rooms’ uses, occupant load, and egress capacity calculations to increase productivity by applying Supervised Machine Learning based on classification techniques through data mining and building datasets from previous projects, and explore the methods of preparation and analyzing data (text cleanup- tokenization- filtering- stemming-labeling). Then, provide an algorithm for classification rules using C# and python in integration with BIM tools such as Revit-Dynamo to calculate cumulative occupant load based on factors which are mentioned in the Egyptian FLS code, determine classification and uses of rooms to validate all data related to FLS. Moreover, calculating the egress capacity of means of egress for not only exit doors but also exit stairs. In addition, the research is to identify a clear understanding about ML and BIM through project case studies and how to build a model with the needed accuracy.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	sigradi2021_157
id	sigradi2021_157
authors	Bustos, Gabriela, Aguirre, Erwin and Costa, Caue
year	2021
title	Ilustremos: UX+XR and Parametric Design for MUVEs
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. 451–462
summary	In the midst of a global pandemic crisis, this proposal seeks to solve a need for a synchronous and multi-user interactive virtual environment for the exhibition of artworks as part of an international illustrators encounter. This research shows a UX+XR design strategy based on UX methodology and the inclusion of parametric design for MUVEs that is framed in a UX+XR prototype for the exhibition, virtual-meeting place, and pedagogical experiential approach directed to defined users. The result, a virtual space named “Ilustremos” (let's illustrate) is created to promote creativity, celebrate art, create community and multidisciplinary collaboration.
keywords	UX, XR, diseno paramétrico, MUVE, ambiente virtual
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	caadria2021_115
id	caadria2021_115
authors	Chen, Qin Chuan, Lakshmi Narasimhan, Vaishnavi and Lee, Hyunsoo
year	2021
title	The potential of IoT-based smart environment in reaction to COVID-19 pandemic
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. 709-718
doi	https://doi.org/10.52842/conf.caadria.2021.2.709
summary	COVID-19 was first reported in late December 2019 and quickly become a global health crisis. In the COVID-19 pandemic context, the dense and open characteristics make the public spaces a potential virus transmission hotspot. Therefore, it is extremely critical to adopt a more advanced and effective method in public environments to slow down its spread until a vaccine is widely used. A smart environment in the form of IoT, also known as the architecture of IoT, consists of three layers: perception layer, network layer, and application layer. A smart environment allows data and activities that happen in this environment to be collected, processed, and shared in real-time through various sensors. It can be introduced for early detection, tracking, and monitoring of potential confirmed cases. The smart environment is considered one of the most promising approaches to face and tackle the current scenario. However, research focusing on the potential of IoT smart environment in reaction to COVID-19 is still meager. Therefore, this paper identifies the smart environments potential based on the concept of IoT architectures three layers and further discusses how IoT can be introduced in public spaces to help battle the pandemic.
keywords	Internet of Things; Smart environment; COVID-19
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2021_415
id	caadria2021_415
authors	Chuang, Cheng-Lin and Chien, Sheng-Fen
year	2021
title	Facilitating Architect-Client Communication in the Pre-design Phase
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. 71-80
doi	https://doi.org/10.52842/conf.caadria.2021.2.071
summary	The process of architects exploring the program with clients often take place through face-to-face oral discussions and visual aids, such as photos and sketches. Our research focuses on two communication mediums: language and sketch. We employ machine learning techniques to assist architects and clients to improve their communication and reduce misunderstandings. We have trained a Naive Bayesian Classifier machine, the language assistant (LA), to classify architectural vocabularies with associations to design requirements. In addition, we have trained a Generative Adversarial Network, the sketch assistant (SA), to generate photo quality images based on architects' sketches. The language assistant and sketch assistant combined can facilitate architect-client communication during the pre-design stage.
keywords	Architect-Client Communication; Pre-design; Architectural Programming; Machine Learning; Schematic Design
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2021_240
id	ecaade2021_240
authors	Dan, Yuze, Shen, Zhenjiang, Lin, Yumin, Zhu, Yiyun and Xiao, Jianqiang
year	2021
title	The Development of Design Support System for Public Participation of Community Public Space Design Using Mixed Reality
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. 205-212
doi	https://doi.org/10.52842/conf.ecaade.2021.1.205
summary	Public participation has been continuously encouraged in community planning and design. However, lacking effective participatory tools, the professional design documents are complicated for the public to understand, let alone express their design intentions. The advancement of computer graphics brings possibilities to suppress this barrier, especially for the emergence of Mixed Reality (MR). In this research, we used MR technology to develop a design support tool for public participation. We implemented this system successfully by creating interactive interfaces, developing design functions, implementing design data, and establishing interactive visualizations. To examine its effectiveness, we did a participatory design experiment. We invited twelve participants to view the 3D design proposal and then make adjustments based on their respective preferences using the MR design support system. This experiment demonstrated that this system could achieve intuitive on-site 3D visualization for the public to understand professional design proposals and real-time design interactions to present their design intentions.
keywords	Public participation; Design support system; Mixed Reality; Interactive visualization; Community design
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ascaad2021_062
id	ascaad2021_062
authors	Elgobashi, Aya; Yasmeen El Semary
year	2021
title	Redefinition of Heritage Public Spaces Using PPGIS: The Case of Religious Complex in Old Cairo
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. 355-370
summary	Plenty of challenges all over the world are affecting the urban development of spaces in the cities, especially those of heritage sites; these urban spaces provide various ambiances that appeal to the senses. Although surrounded open spaces in heritage sites are full of rich, deep knowledge that plays an active role in the community perceptions, it has been recently neglected. A contribution is paid to the combination of digital technologies to help in preserving those spaces. Its integrated use could exponentially increase the effectiveness of conservation strategies of ancient buildings. GIS technology became a usual documentation tool for heritage managers, conservators, restorers, architects, archaeologists, painters, and all other categories of experts involved in cultural heritage activities. Consequently, the GIS has faced strong criticism as it is a tool for documentation without engaging in the public environment and the users’ needs; as a result, GIS cannot help in any enhancing process as it does not have any idea about the needs of the users. This paper analyses public uses efficiency in heritage public spaces in Cairene context using public participation geographic information system (PPGIS) methodology, as it gives attention to the term “user” to include the “public” incorporating the concept of “public participation” commonly used in planning. An online survey was set up, based on Google Maps, where respondents were asked to place and rate twenty-five items on an interactive map done by (ARCGIS 10.4). These items were based on the criteria of placemaking to make those spaces full of creative ambiance to be more attractive and useful to the communities. Finally, 200 valid surveys have been collected and mapped 1500 opinions have been mapped. The Results of this research show that PPGIS is an effective tool in measuring the efficiency of those heritage public spaces, which may be valuable for future planning.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	ascaad2021_150
id	ascaad2021_150
authors	Fathima, Linas; Chithra K
year	2021
title	Shapegrammar: A Tool for Research in Traditional Architecture
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. 465-478
summary	Every Architectural style consists of an Architectural language with vocabulary, syntax, and semantics. The compositional principles of a particular style can be defined over as a set of rules. These rules can be reformed and converted using mathematical computational techniques using Shape Grammar (A systematic method used for interpreting spatial design and activities). Researchers across the world used shape grammar to analyse design patterns of traditional architectural styles, master architects' works, etc. These rule-based methods can be adopted into computer languages to produce new designs. Traditional Architecture of a region portrays culture integrated with all aspects of human life. The proposed paper is to study the potentials of shape grammar to use as a tool in the research of traditional architectural styles by analysing case studies. The research methodology reviews the previous shape grammar studies conducted in various conventional styles and comparative analysis of the approaches of authors in shape grammar generation. The research by Lambe and Dongre on the formulation of shape grammar of Pol houses of Ahmadabad and Cagdas's work on traditional Turkish houses is an example of this. T Knight had formulated shape grammar of Japanese tea houses, and Yousefniapasha and Teeling developed a grammar of vernacular houses facing rice fields of Mazandaran, Iran. Similarly, many researchers used shape grammars as a tool to analyse traditional architecture. So the study will compare the different traditional shape grammar generations and formulate a sample shape grammar of a traditional prototype to conclude the scope of further research in the domain.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	caadria2021_130
id	caadria2021_130
authors	Han, Yoojin and Lee, Hyunsoo
year	2021
title	Exploring the Key Attributes of Lifestyle Hotels: A Content Analysis of User-Created Content on Instagram
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. 71-80
doi	https://doi.org/10.52842/conf.caadria.2021.1.071
summary	This study aims to investigate the key attributes of lifestyle hotels by analyzing user-created content on Instagram, an image-based social network service. In an era of uncertainty in the tourism and hospitality industry, it is inevitable that hotels must create a competitive identity. However, even with the significant growth of the lifestyle hotel segment, the concept of a lifestyle hotel is still vague. Therefore, to explore how to define, perceive, and interpret lifestyle hotels and to suggest their crucial attributes, this paper examines user-created content on Instagram. The data from 20,886 Instagram posts related to lifestyle hotels, including 2,209 locations, 43,586 hashtags, and 20,866 images, were analyzed using Vision AI, a social network analysis method and computer vision technology. The results of this study demonstrated that lifestyle hotels are perceived as design-focused branded hotels that represent the urban lifestyle and share both vacation and urban activities. Furthermore, the results reflected one of the latest hospitality trends-a holiday in an urban setting in addition to the primary purpose of traveling. Finally, this research suggests broader uses of big data and deep learning for analyzing how a place is consumed in a geospatial context.
keywords	Lifestyle Hotel; Hospitality Experiences; User-Created Content; Social Network Analysis; Vision AI
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	cdrf2021_13
id	cdrf2021_13
authors	Hao Wen, Pengcheng Gu, Yuchao Zhang, Shuai Zou, and Patrik Schumacher
year	2021
title	A Generative Approach to Social Ecologies in Project [Symbios]City
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_2
summary	The following paper talks about the studio project [Symbios]City, which is developed as a design research project in 2020–2021 Schumacher’ studio on social ecology of the graduate program in Architectural Association’s design research lab. The project aims to create an assemblage of social ecologies through a rich but cohesive multi-authored urban district. The primary ambition is to generate an urban area with a characterful, varied identity, that achieves a balanced order between unity and difference avoiding both the sterile and disorienting monotony of centrally planned modernist cities and the (equally disorienting) visual chaos of an agglomeration of utterly unrelated interventions as we find now frequently. Through a thorough research process, our project evolves mainly out of three principles that are taken into consideration for the development of our project: topological optimization, phenomenology, and ecology. By “ecology”, we understand it as a living network of information exchange. Therefore, every strategy we employ is not merely about reacting to the weather conditions, but instead it is an inquiry into the various ways we can exploit the latter, a translation of the weather conditions into spatial and programmatic properties. [Symbios]City therefore aims at developing a multi-authored urban area with a rich identity that achieves a balance between the various elements. [Symbios]City began formally from topological optimization, developed based on studies on ecology, and concluded the design following our phenomenological explorations, aiming at a complex design project that unifies the perception of all scales of design: from the platform to the skyscrapers.
series	cdrf
email
last changed	2022/09/29 07:53

_id	ecaade2021_010
id	ecaade2021_010
authors	Huang, Yurong, Butler, Andrew, Gardner, Nicole and Haeusler, M. Hank
year	2021
title	Lost in Translation - Achieving semantic consistency of name-identity in BIM
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. 9-20
doi	https://doi.org/10.52842/conf.ecaade.2021.2.009
summary	Custom room naming in architectural projects can vary considerably depending on the user. Having multiple and diverse names for the same room is particularly problematic for information retrieval processes in BIM-based projects. Current best practice includes either team agreement on naming labels in BIM or manual renaming to align with an office-wide standard. Both remain laborious and flawed and lead to compounding errors. This research explores how an automated naming-standardization workflow can enhance the interoperability of object-based modeling in a BIM environment and make information retrieval more reliable for a project life cycle. This paper presents research on (1) building a custom corpus specialized for architectural terminology to fit into the BIM environment and (2) devising a standard-naming system titled WuzzyNaming to save manual work for BIM users in maintaining room-name consistency. Our presented workflow applied natural language processing (NLP) technique and Fuzzy logic to perform the semantic analysis and automate the BIM room-name standardization.
keywords	Building information modeling; Natural Language Processing; Data interoperability; Naming convention; Fuzzy logic
series	eCAADe
email
last changed	2022/06/07 07:50

_id	caadria2021_396
id	caadria2021_396
authors	Liu, Jie, Wang, Yuechen and Zhu, Ning
year	2021
title	Cycling Virtual Tour - A Remote Online Travel System Based On Interactive Technologies And Its User Experience Evaluation
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. 243-252
doi	https://doi.org/10.52842/conf.caadria.2021.2.243
summary	Virtual reality has been widely adopted into various fields of human life. It is entering the world of tourism to remote places. This paper proposes a brand-new interaction design system for remote online virtual tourism based on bicycle riding behavior and projection mapping technologies. Through the user experience evaluation experiments of this system, the research found that this interactive system can effectively improve the realism and sense of the presence of the virtual environment. It can also enhance the delectation and satisfaction of the virtual tour. At the same time, this system can reduce the simulator syndrome which plays as a common problem in the traditional virtual tour experience.
keywords	interaction design; immersive environment; virtual tour; user experience
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	sigradi2021_49
id	sigradi2021_49
authors	Massara Rocha, Bruno, Alvarenga, Augusto and Bolssoni, Gabriela
year	2021
title	Open-Source Social Housing Architecture: Wikihouse “Sr. Manoel”
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. 91–102
summary	This is the first Wikihouse project to be built in a vulnerable community in Brazil. Brazil is a country with a large housing deficit concentrated in large metropolitan regions. The work is the result of an initiative to address part of this demand using the Wikihouse open-source system. The project was developed using the Design Science Research methodology in three stages: conception, prototyping and production of an experiential module on a 1:1 scale. The results demonstrated the need to develop a better structured design ecology to make the Wikihouse system viable in the Brazilian context. This design ecology concerns an integrated network of services that includes project development centers, prototyping spaces, mini-factories for production, pre-assembly and batch organization environments, logistics services, human resource management teams and integration with the community, in addition to registration, documentation and communication.
keywords	Wikihouse, habitaçao de interesse social, projeto de arquitetura, opensource, fabricaçao digital
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	cdrf2021_148
id	cdrf2021_148
authors	Mingxi Chen
year	2021
title	Research on Epidemic Prevention and Management Measures in University Based on GIS and ABM – Taking South China University of Technology (Wushan Campus) as an Example
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_14
summary	Prevention and management of epidemic is a protracted war. As large community in city, universities are key regions in the anti-epidemic period. However, the current epidemic prevention and management measures in many universities do not compatible with the spatial form and the characteristics of the population, likely to lead to waste of resources and cause conflicts. The research simulates campus environment by constructing GIS model, and simulates the behavior of campus crowd by ABM. Under the coupling effect of the two, the real-time calculation of the spread of epidemic in universities can be calculated in real-time, making up for the deficiency of GIS model which can only do static data analysis. On this basis, research takes South China University of Technology as an example and assumes three epidemic prevention management measures, i.e. closed-off management, zoning management and self prevention, respectively to simulate the spread of the epidemic, sum up the results of different management measures and provide certain suggestions.
series	cdrf
last changed	2022/09/29 07:53

_id	caadria2021_307
id	caadria2021_307
authors	Ortner, Frederick Peter and Tay, Jing Zhi
year	2021
title	Pandemic resilient housing - modelling dormitory congestion for the reduction of COVID-19 spread
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. 589-598
doi	https://doi.org/10.52842/conf.caadria.2021.2.589
summary	In response to pandemic-related social distancing measures, this paper presents a computational model for simulating resident congestion in Singapores migrant worker dormitories. The model is presented as a tool for supporting evidence-based building design and management. In contrast to agent-based or network-based building analysis, we demonstrate a method for implementing a schedule-based building simulation. In this paper we present the key functions and outputs of the computational model as well as results from analysis of a case study and its design variants. Learnings on the comparative advantages of schedule modification versus physical design modification in assisting social distancing are presented in a discussion section. In the conclusion section we consider applications of our learnings to other dense institutional buildings and future directions for evidence-based design for resilient buildings.
keywords	Collective,collaborative & interdisciplinary design; Computational design research & education; Disrupted practices,resilience,and social sustainability; Simulation,visualization and impact projection
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	sigradi2021_44
id	sigradi2021_44
authors	Peng, Xianhui, Cai, Yanxin and Gao, Xiaoni
year	2021
title	Study on the Optimization Method of Intercity Railroad Underground Station Space Performance Based on BP Neural Network
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. 339–350
summary	With the development of economy, China is facing the contradiction between urban development and the shortage of urban space resources.This article takes the small and medium-sized underground stations on the Guanhui Intercity Railway and the Changzhutan Intercity Railway as the main research objects of this thesis; Analyze the influencing factors of the space performance of the underground station, and design the BP neural network structure based on this; According to the preparation of relevant technical data, Anylogic is used to simulate the setting of simulation parameters and current station operation, to extract ideal samples, and to build and train the underground station Spatial performance characteristic analysis model.Finally, the spatial performance optimization method of Intercity Railway Underground Station Based on neural network is summarized, the optimization process is sorted out, the numerical optimization results are obtained, and the optimization scheme is proposed to verify the effectiveness of the method.
keywords	Research on the Optimization Method of Intercity Railroad Underground Station Space Performance Based on BP Neural Network
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	ecaade2021_108
id	ecaade2021_108
authors	Romero, Rosaura Noemy Hernandez and Pak, Burak
year	2021
title	Understanding Design Justice in a Bottom-up Housing through Digital Actor-Network Mapping - The case of solidary mobile housing in Brussels
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. 131-140
doi	https://doi.org/10.52842/conf.ecaade.2021.1.131
summary	This paper is a study of an ongoing housing project in Brussels (SMH) which involves bottom-up spatial occupation and 'making' by activists, activist architects, social workers and citizens. The particular focus of this paper is on the critical spatial agency of the citizens, activist-architects and artefacts for enabling architectural design justice (ADJ) in the SMH. Building on the Actor-Network Theory of Latour (2005) we developed an analytic method called Actor Link Mapping and Analysis (ALMA) which involves data collection from a wide range of network actors, the generation of a variety of digital network maps, making computational analysis, followed by workshops and interviews to discuss the findings. ALMA was used to recognize potential assets which are essential for design justice practices and networks. The analysis revealed the limits to community control of design processes and practices as well as limits to the conceptual links surrounding socio-spatial equality, thus limits to design justice in the SMH project. Our research also revealed a plethora of new roles and agencies in bottom-up housing production which were essential to understanding the dynamics and power distribution among the different actors.
keywords	Network Mapping; Network Analysis; Housing; Co-creation; Design Justice; Actor-Network Theory
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2024_361
id	ecaade2024_361
authors	Sochùrková, Petra; Devyatkina, Svetlana; Kordová, Sára; Vaško, Imrich; Tsikoliya, Shota
year	2024
title	Bioreceptive Parameters for Additive Manufacturing of Clay based Composites
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 1, pp. 45–54
doi	https://doi.org/10.52842/conf.ecaade.2024.1.045
summary	Due to climate change and the problematic amount of waste and CO2 emissions in the construction industry, non-human organisms and sustainable solutions are key motivators of the study. This paper focuses on developing a bioreceptive (Guillitte, 1995) composite suitable for additive manufacturing, composed to support growth of various organisms. It investigates key properties which have shown to be beneficial for promoting biological growth, such as water absorption, water permeability, humidity, and surface texture. The study evaluates the effect of two groups of clay-based waste additives, wooden sawdust (Arslan, et al., 2021) and sediment material sourced from local tunnel excavation in Prague. Simultaneously the need for intelligent reintegration and waste use is prevalent. Additive fabrication offers the ability to test a variety of composites and (re-)integrate them into the manufacturing processes. Current approach explores how to design artificial environments/skins for greenery and small life with the potential to improve both diversity and survivability while maintaining a better climate in its immediate surroundings. Bioreceptive design has the potential to improve the quality of the urban environment and bring new aesthetic influences into it (Cruz and Beckett 2016, p. 51-64).
keywords	Digital Design, Material Research, Bioreceptive Design, Robotic Fabrication, Additive Manufacturing, Experimental Pastes, Bio compatibility, Waste Materials, Clay Composites
series	eCAADe
email
last changed	2024/11/17 22:05

_id	ecaade2021_150
id	ecaade2021_150
authors	Song, Yanan and Yuan, Philip F.
year	2021
title	A Research On Building Cluster Morphology Formation Based On Wind Environmental Performance And Deep Reinforcement Learning
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. 335-344
doi	https://doi.org/10.52842/conf.ecaade.2021.1.335
summary	Nowadays, numerous researchers emphasize the significance of the environmen-tal performance-driven generative methodology. However, due to the complex coupling mechanism of environmental regulation factors, the existing optimiza-tion engines and applications are time-consuming and cumbersome. In this re-search, we propose a novel design methodology based on Deep Reinforcement Learning (DRL). This paper is divided into 3 sections, including theoretical framework, design strategy, and practical application. It first introduces an over-view of basic principles, illustrating the potential advantages of DRL in perfor-mance data-driven design. Based on this, the paper proposes a DRL-based gener-ative method. We point out a more specific discussion about the application and workflow of core DRL elements in architectural design. Finally, taking a grid-form urban space composed by multitude high-rise building blocks as an exam-ple, we present a application through a DRL agent to conduct numerous active wind environmental performance-based design tests. It is an interactive and gen-erative design method, owning multiple advantages of timeliness, convenience, and intelligence.
keywords	Deep Reinforcement Learning; Environmental Performance Design; Generative Design; Building Cluster Formation
series	eCAADe
email
last changed	2022/06/07 07:56

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