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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	sigradi2021_200
id	sigradi2021_200
authors	Karabagli, Kaan, Koc, Mustafa, Basu, Prithwish and As, Imdat
year	2021
title	A Machine Learning Approach to Translate Graph Representations into Conceptual Massing Models
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. 191–202
summary	Machine learning (ML) has popular applications in domains involving image, video, text and voice. However, in architecture, image-based ML systems face challenges capturing the complexity of three-dimensional space. In this paper, we leverage a graph-based ML system that can capture the inherent topology of architectural conceptual designs and identify high-performing latent patterns within such designs. In particular, our goal is to translate architectural graph data into three-dimensional massing models. We are building on our prior ML work, where we, a. discovered latent topological features, b. composed building blocks into new designs, c. evaluated their feasibility, and d. explored Generative Adversarial (Neural) Networks (GAN)-generated design variations. We trained the ML system with architectural design data that we gathered from an online architectural design competition platform, translated them into machine-readable graph representations, and identified their essential subgraphs to develop novel compositions. In this paper, we explore how these novel designs (outputted in graph form), can be translated into three-dimensional architectural form. We present an ML approach to turn graph representations into functional volumetric massing models. The ultimate goal of the study is to develop an end-to-end pipeline to generate architectural design - from a graph representation to a fully developed conceptual proxy of a designed product. The research question is promising in automating conceptual design, and we believe the outcome can be relevant to other design disciplines as well.
keywords	Architectural design, machine learning, conceptual design, deep learning, artificial intelligence
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	cdrf2021_55
id	cdrf2021_55
authors	Shengyu Meng
year	2021
title	Exploring in the Latent Space of Design: A Method of Plausible Building Facades Images Generation, Properties Control and Model Explanation Base on StyleGAN2
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_6
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	GAN has been widely applied in the research of architectural image generation. However, the quality and controllability of generated images, and the interpretability of model are still potential to be improved. In this paper, by implementing StyleGAN2 model, plausible building façade images could be generated without conditional input. In addition, by applying GANSpace to analysis the latent space, high-level properties could be controlled for both generated images and novel images outside of training set. At last, the generating and controlling process could be visualized with image embedding and PCA projection method, which could achieve unsupervised classification of generated images, and help to understand the correlation between the images and their latent vectors.
series	cdrf
email
last changed	2022/09/29 07:53

_id	caadria2021_104
id	caadria2021_104
authors	Wu, Yihao, Wu, Liuqing and Li, Danrui
year	2021
title	Quantification and Typology Methods for Spatial Regionalism - From Traditional Residence to Modern Chinese-style House Design
doi	https://doi.org/10.52842/conf.caadria.2021.2.081
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. 81-90
summary	The cognition of Regionalism in architecture has transferred from the surface to the essence, from the building appearance to space. Modern Chinese-style houses have sprung up all over the country these years but always fail to find back the main characteristic of space in traditional residences. Therefore, the paper focuses on the question of 'what are the main features of the space in traditional Chinese residence', proposing 5 spatial quantification indexes for residential space and a score evaluation method to measure Chinese-style matching degree (Mch) with the help of a modified graph map generation method. 10 traditional Chinese houses and 16 built-up modern Chinese-style houses are taken as samples for empirical research. The paper also puts forward a hypothesis testing model for architects, which can quickly check the Chinese-style matching degree of the scheme and strongly support the design process.
keywords	spatial regionalism; spatial quantification; Chinese-style matching degree; typology; traditional Chinese residence
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2021_376
id	caadria2021_376
authors	Dounas, Theodoros, Jabi, Wassim and Lombardi, Davide
year	2021
title	Topology Generated Non-Fungible Tokens - Blockchain as infrastructure for a circular economy in architectural design
doi	https://doi.org/10.52842/conf.caadria.2021.2.151
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. 151-160
summary	The paper presents a new digital infrastructure layer for buildings and architectural assets. The infrastructure layer consists of a combination of topology graphs secured on a decentralised ledger. The topology graphs organise non-fungible digital tokens which each represent and correspond to building components, and in the root of the graph to the building itself.The paper presents background research in the relationship of building representation in the form of graphs with topology, of both manifold and non manifold nature. In parallel we present and analyse the relationship between digital representation and physical manifestation of a building, and back again. Within the digital representations the paper analyses the securing and saving of information on decentralised ledger technologies (such as blockchain). We then present a simple sample of generating and registering a non-manifold topology graph on the Ethereum blockchain as an EC721 token, i.e. a digital object that is unique, all through the use of dynamo and python scripting connected with a smart contract on the Ethereum blockchain. Ownership of this token can then be transferred on the blockchain smart contracts. The paper concludes with a discussion of the possibilities that this integration brings in terms of material passports and a circular economy and smart contracts as an infrastructure for whole-lifecycle BIM and digitally encapsulates of value in architectural designPlease write your abstract here by clicking this paragraph.
keywords	Blockchain; Tokenisation; Topology; Circular Economy; decentralisation
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	sigradi2021_176
id	sigradi2021_176
authors	Escaleira, Cláudia, Morais, António, Figueiredo, Bruno and Cruz, Paulo
year	2021
title	Reuse of Ceramic Roof Tiles: Enhancing New Functional Design Possibilities Through the Integration of Digital Tools for Simulation, Manufacture and Assembly
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. 1475–1486
summary	The material qualities of ceramic roof tiles have provided new formal interpretations that induced a new functional use—a wall. By disassembling ceramic roof tiles from roofs and assembling them into walls, its circularity potential was enlarged. This paper explores the potential use of ceramic roof tiles, as a single element type, in the definition of wall design systems and patterns of composition that comply with design for manufacture, assembly and disassembly (DfMA-D) requirements, through the development of a shape grammar and implementation through parametric models. The new shape grammar extends the compositional patterns already produced and the redefinition of the connection systems by incorporating DfMA-D requirements into the shape grammar rules sets new combinatorial patterns aligned with European Union goals for building circularity. The parametric models automate the generation of design solutions and extend the design process to the assembly and disassembly stages using robotic fabrication techniques.
keywords	circular building, component reuse, computational design, ceramic roof tiles, robotics in architecture
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	ascaad2021_028
id	ascaad2021_028
authors	Fahmy, Marwa
year	2021
title	Applying Urban Parametricism in the Design of Dynamic Neighborhoods
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. 646-660
summary	Neighborhoods are considered basic spatial units of an urban area. Their forms have complex and hierarchical structures that contain building layouts, street segments, street networks and etc.. The traditional ways of computationally producing neighborhoods have proven incompetence. Some of these conventional ways focus on the morphological approaches, but they do not include all urban features. Meanwhile, other models that can design urban features have limited formulation flexibility. Besides the absence of dynamic generation behavior as they don’t use parametric techniques. They lack interactivity with the surroundings as they don’t use streets as the main generator of neighborhoods. Additionally, they don’t have the ability of automatically analyzing the site. Other models are generated for a specific location and miss the interactivity with other sites. This study implements parametric techniques to generate an urban model with wide design varieties. Furthermore, the model has dynamic morphological behavior, capable of interacting with the designer's modifications. This study focuses on the streets and grid as the dominant element of neighborhoods. The study also presents a predefined function in the scripting process. The model also proposes a python switcher to allow easy accessing all the inputs. Also, the research converts the elements to be more interactive, responsive, flexible, and dynamic. Therefore, all the neighborhood elements are simultaneously created according to user requirements. The study method is divided into three stages: Decomposition, Formulation, Modeling, and evaluation. Each process is defined with its tools, inputs, and parameters.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	caadria2021_113
id	caadria2021_113
authors	Fink, Theresa, Vuckovic, Milena and Petkova, Asya
year	2021
title	KPI-Driven Parametric Design of Urban Systems
doi	https://doi.org/10.52842/conf.caadria.2021.2.579
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. 579-588
summary	We present a framework for data-driven algorithmic generation and post-evaluation of alternative urban developments. These urban developments are framed by a strategic placement of diverse urban typologies whose spatial configurations follow design recommendations outlined in existing building and zoning regulations. By using specific rule-based generative algorithms, different spatial arrangements of these urban typologies, forming building blocks, are derived and visualized, given the aforementioned spatial, legal, and functional regulations. Once the envisioned urban configurations are generated, these are evaluated based on a number of aspects pertaining to spatial, economic, and thermal (environmental) dimensions, which are understood as the key performance indicators (KPIs) selected for informed ranking and evaluation. To facilitate the analysis and data-driven ranking of derived numeric KPIs, we deployed a diverse set of analytical techniques (e.g., conditional selection, regression models) enriched with visual interactive mechanisms, otherwise known as the Visual Analytics (VA) approach. The proposed approach has been tested on a case study district in the city of Vienna, Austria, offering real-world design solutions and assessments.
keywords	Urban design evaluation; parametric modelling; urban simulation; environmental performance; visual analytics
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2021_311
id	caadria2021_311
authors	Gu, Xiangshu, Tian, Shulin, Zhang, Baihui, Tong, Ziyu and Gan, Jingwen
year	2021
title	SECTIONMATRIX - Mapping Urban Form through Urban Sections
doi	https://doi.org/10.52842/conf.caadria.2021.2.599
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. 599-608
summary	Most of the traditional studies on urban morphology are based on aerial views. However, the 2D plane model fails to describe the height information of buildings and the relation of buildings and the urban external space. An urban section is another map of an urban area. Through a series of continuous vertical urban slices, the city texture can be transformed into planar linear information containing height and width information. This paper proposes several indicators to describe a series of urban section slices and uses a three-dimensional coordinate mapping method Sectionmatrix to quantify and analyze the relation between the physical geometrical indicators and urban form from the section perspective. Through the case analysis of multiple residential blocks in Nanjing, China, the results showed that Sectionmatrix is convenient and efficient. Sectionmatrix relates the geometrical properties to the spatial characteristics of urban areas and provides a new way to classify, map and define building typologies. This new classification method reveals the tortuosity and complexity of residential blocks. By bridging the gap between quantity and form, the research also suggests other possible applications of Sectionmatrix as a control instrument and test framework for entire cities planning and design.
keywords	Urban Morphology; Urban Section; Sectionmatrix; Quantitative Analysis
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2021_117
id	caadria2021_117
authors	Ikeno, Kazunosuke, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2021
title	Can a Generative Adversarial Network Remove Thin Clouds in Aerial Photographs? - Toward Improving the Accuracy of Generating Horizontal Building Mask Images for Deep Learning in Urban Planning and Design
doi	https://doi.org/10.52842/conf.caadria.2021.2.377
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. 377-386
summary	Information extracted from aerial photographs is widely used in the fields of urban planning and architecture. An effective method for detecting buildings in aerial photographs is to use deep learning to understand the current state of a target region. However, the building mask images used to train the deep learning model must be manually generated in many cases. To overcome this challenge, a method has been proposed for automatically generating mask images by using textured 3D virtual models with aerial photographs. Some aerial photographs include thin clouds, which degrade image quality. In this research, the thin clouds in these aerial photographs are removed by using a generative adversarial network, which leads to improvements in training accuracy. Therefore, the objective of this research is to propose a method for automatically generating building mask images by using 3D virtual models with textured aerial photographs to enable the removable of thin clouds so that the image can be used for deep learning. A model trained on datasets generated by the proposed method was able to detect buildings in aerial photographs with an accuracy of IoU = 0.651.
keywords	Urban planning and design; Deep learning; Generative Adversarial Network (GAN); Semantic segmentation; Mask image
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	acadia21_512
id	acadia21_512
authors	Liu, Zidong
year	2021
title	Topological Networks Using a Sequential Method
doi	https://doi.org/10.52842/conf.acadia.2021.512
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.
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	sigradi2021_185
id	sigradi2021_185
authors	Mariano, Pedro Oscar Pizzetti, Maia, Mirian Aparecida, Campos, Bruna Pacheco and Vaz, Carlos Eduardo Verzola
year	2021
title	Automated Generation of Layouts and Budgets: Development and Application from Written Programming and Parametric Modeling
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. 759–770
summary	The article aims to demonstrate the applicability of the use of programming in the formation of floor plans in the initial design of the architectural layouts of houses of social interest and to evaluate the possible cost of building these proposals. The development of the algorithm follows known programming rules and structures written in a visual modeling and programming software, in addition to using the methods of stochastic search, shape grammar, CUG (geometric unit cost) and CUB (basic unit cost). As a result, it was possible to develop space layouts that resemble the rooms of a single-family home and calculate their possible construction cost. The use of the complete process also brings the discussion of the use of technologies and automated processes within current design practices, demonstrating how the use of these technologies can enhance the imagination and present compositions and quantitative results not envisioned by the designers.
keywords	Layouts, Script, Parametric modeling, Budget, CUG.
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	ecaade2021_304
id	ecaade2021_304
authors	Mei, Zihan, Pan, Yue, Cheng, Jack and Garcia del Castillo Lopez, Jose Luis
year	2021
title	Cross-Scale and Density-Driven City Generator - Parametric assistance to designers in prototyping stage
doi	https://doi.org/10.52842/conf.ecaade.2021.1.563
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. 563-570
summary	In the modern urbanization process, urban planners create rules to define urban form and composition of blocks which are greatly impacted by the road network. This research paper proposes a "city generator", as an urban design toolkit for urban designers to make prototypes of large new town planning and reimagination of city generation. The generator aims to translate planning regulations into three-dimensional urban form and provide users with efficient and intuitive design iterations. Moreover, our generator emphasizes consistency in generation across scales. From a single block to a district, they can be produced in one operation without losing details. Finally, the generator provides a great degree of freedom for users to manipulate, including three aspects - road generation, density mapping and building form. Because of the flexibility of input parameters, generated models can be a rigid urban grid or an organic pattern, which can highly satisfy urban designer's expectations and imagination.
keywords	parametric urban design; urban planning; Grasshopper plugin
series	eCAADe
email
last changed	2022/06/07 07:58

_id	ecaade2021_049
id	ecaade2021_049
authors	Oral, Hülya and Çolakoglu, Meryem Birgül
year	2021
title	The reconfiguration of tool parameters in clay extruder
doi	https://doi.org/10.52842/conf.ecaade.2021.2.161
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. 161-170
summary	Reconfigurable manufacturing systems (RMS), which have emerged with mass customization in the industry, allow the tool or system parameters to be adjusted in a controlled manner to produce customized products. Although the reconfigurable manufacturing systems have been applied in building and construction for waste, time, and cost reduction in producing specific mold forms at a prototype level, their utilization in additive manufacturing (extrusion) has not been explored. This paper presents, initial steps of ongoing research on the development of reconfigurable tools and workflow by transforming the tool's rigid parts with controlled parametric movable parts. The clay extruder tool used in crafts is transformed into a reconfigurable extruder tool that allows making customized forms. In the experimental setup, die combinations and tool head rotations are examined with the proposed Extrusion-based Making Grammar (EbMG). Produced forms illustrate the variations of the design space in relation to the rule sets. Here, a rule-based approach is found to be efficient for controlling the making parameters. This study explored the potentials of transforming a rigid craft tool into a customizable tool that allow the generation of product variation. It presents the preliminary stage of transforming craft tools into further digital craft tools.
keywords	Hands-on making; craft; reconfigurable tools; extrusion; tool making
series	eCAADe
email
last changed	2022/06/07 08:00

_id	ecaade2021_266
id	ecaade2021_266
authors	Pibal, Sophia, Khoss, Konstantin and Kovacic, Iva
year	2021
title	Prototype of an Algorithm-Aided BIM Tool for Semi-Automated Generation of Modular Residential Buildings
doi	https://doi.org/10.52842/conf.ecaade.2021.2.067
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. 67-76
summary	The research on novel design tools to enhance the production of residential buildings was the objective of this study. This ongoing research within the funded research project "Housing 4.0" aims to develop a BIM-based digital platform for ecological and affordable multi-storey housing. As part of the platform we developed the prototype of an Algorithm-aided BIM tool for the semi-automated generation of modular building designs.
series	eCAADe
email
last changed	2022/06/07 08:00

_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
doi	https://doi.org/10.52842/conf.ecaade.2021.1.131
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
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	ijac202119310
id	ijac202119310
authors	Schwartz, Yair; Raslan, Rokia; Korolija, Ivan; Mumovic, Dejan
year	2021
title	A decision support tool for building design: An integrated generative design, optimisation and life cycle performance approach
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 3, 401–430
summary	Building performance evaluation is generally carried out through a non-automated process, where computational models are iteratively built and simulated, and their energy demand is calculated. This study presents a computational tool that automates the generation of optimal building designs in respect of their Life Cycle Carbon Footprint (LCCF) and Life Cycle Costs (LCC). This is achieved by an integration of three computational concepts: (a) A designated space-allocation generative-design application, (b) Using building geometry as a parameter in NSGA-II optimization and (c) Life Cycle performance (embodied carbon and operational carbon, through the use of thermal simulations for LCCF and LCC calculation). Examining the generation of a two-storey terrace house building, located in London, UK, the study shows that a set of building parameters combinations that resulted with a pareto front of near-optimal buildings, in terms of LCCF and LCC, could be identified by using the tool. The study shows that 80% of the optimal building’s LCCF are related to the building operational stage (o= 2), while 77% of the building’s LCC is related to the initial capital investment (o= 2). Analysis further suggests that space heating is the largest contributor to the building’s emissions, while it has a relatively low impact on costs. Examining the optimal building in terms compliance requirements (the building with the best operational performance), the study demonstrated how this building performs poorly in terms of Life Cycle performance. The paper further presents an analysis of various life-cycle aspects, for example, a year-by-year performance breakdown, and an investigation into operational and embodied carbon emissions.
keywords	Generative design, genetic algorithms, thermal simulation, life cycle, carbon, LCA, NSGA-II, building performance
series	journal
email
last changed	2024/04/17 14:29

_id	caadria2021_439
id	caadria2021_439
authors	Shi, Zhongming, Herthogs, Pieter, Li, Shiying, Chadzynski, Arkadiusz, Lim, Mei Qi, von Richthofen, Aurel, Cairns, Stephen and Kraft, Markus
year	2021
title	Land Use Type Allocation Informed by Urban Energy Performance: A Use Case for a Semantic-Web Approach to Master Planning - A USE CASE FOR A SEMANTIC-WEB APPROACH TO MASTER PLANNING
doi	https://doi.org/10.52842/conf.caadria.2021.2.679
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. 679-688
summary	Cities are growing fast and facing unprecedented challenges as urban populations grow and resources are becoming scarce. A citys master planning involves a series of decision-making processes and requires knowledge from various domains. Urban planners are seeking computational support. We present a use case of land use type or building function allocations informed by urban energy performance as a pilot demonstrator for a semantic-web approach to these challenges. The software used for energy performance assessment was the City Energy Analyst. Using a quarter in downtown Singapore as an example, the results indicated 70% to 80% residential supplemented by other land use types favours efficient use of district cooling systems and photovoltaic panels. Urban planners may use the results to narrow down the search space of land use type ratios for the selected mixed-use area in Singapore. The use case serves as a pilot demonstrator for a broader research scope, the project Cities Knowledge Graph. To support master planning, the project aims to build an extendable plat-form to integrate more datasets and evaluation software for various urban qualities and domains.
keywords	Urban planning; knowledge graph; City Energy Analyst; simulation; energy-driven urban design; urban form
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2021_074
id	caadria2021_074
authors	Song, Yanan, Li, Keke, Lin, Yuqiong and Yuan, Philip F.
year	2021
title	Research on Self-Formation Wind Tunnel Platform Design based on dynamic gridding mechanical devices
doi	https://doi.org/10.52842/conf.caadria.2021.2.669
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. 669-678
summary	Nowadays, climate problems, such as urban ventilation, heat island effect are becoming increasingly serious. Performance-oriented buildings that respond positively to the environment are constructing a sustainable future of the living environment. This research introduces an autonomous Self-Formation Wind Tunnel (SFWT) platform based on 120 dynamic grid mechanical devices, and its building cluster morphology generation workflow in the conceptual design stage, for the rapid and mass formation experiments. The Self-formation wind tunnel plat-form, which has the advantages of both perceptive and real-time data, is able to use the techniques of machine learning to provide a new design paradigm, from environmental performance to physical morphology.
keywords	Self-Formation Wind Tunnel; Building Cluster Morphology; Dynamic Models; Mechanical Grid Devices; Environment Performance Design
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2021_042
id	caadria2021_042
authors	Sun, Chengyu, Lin, Yinshan and Li, Shuyang
year	2021
title	Automatic Generation of Signboards in Large-Scale Transportation Building Driven by Passengers' Paths
doi	https://doi.org/10.52842/conf.caadria.2021.1.011
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. 11-20
summary	The signage design of any large-scale transportation building is vital to its passengers wayfinding experiences. Firstly, a set of passengers paths should be re-designed by signage designers according to the latest requirements, which always deviates from the initial ones in large-scale projects or inevitably updates during a long-term running. Afterwards, the path design has to be transformed into the layout and content of signboards manually. It is a time-consuming and error-prone process. This study introduces a human-computer hybrid workflow keeping the flexible path design in the hands of designers and leaving the following procedures to an algorithm, which automatically generates signboard contents ready for construction. It is proved efficient with more than 3000 signboards in the project of PVG Airport, Shanghai. Furthermore, the designer got an opportunity to optimize his path design through various alternatives, which impossible traditionally.
keywords	Design Automation; Human-Computer Hybrid; Signboard; Passenger Path; Transportation Building
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2021_156
id	caadria2021_156
authors	Yao, Jiawei, Huang, Chenyu, Peng, Xi and Yuan, Philip F.
year	2021
title	Generative design method of building group - Based on generative adversarial network and genetic algorithm
doi	https://doi.org/10.52842/conf.caadria.2021.1.061
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. 61-70
summary	From parametric shape finding to digital shape generation, the discussion of generative design has never stopped in recent years. As an important watershed of building intelligence, generative design method has dual significance of scheme selection and building performance optimization in digital architectural design workflow. In this paper, the generative design method for the layout of residential buildings is studied. The pix2pix network, a kind of generative adversarial network, is used to learn the layout method of residential buildings in Shanghai. The generated layout uses Octopus, a genetic algorithm tool of Grasshopper, to generate the volume and optimize the sunshine hours and other performance parameters. In the generation process, different training sample sets and Pareto genetic algorithm optimization are used to realize the control of building density, plot ratio and height limit. This method can meet the real application scenarios in the early stage of architectural design to a certain extent, and has more expansibility, providing ideas for the generative design method of building group.
keywords	generative design method; generative adversarial network; genetic algorithm; sunshine optimization
series	CAADRIA
email
last changed	2022/06/07 07:57

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