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

_id	caadria2019_546
id	caadria2019_546
authors	Holzer, Dominik
year	2019
title	Teaching Computational Design and BIM in the Age of (Semi)flipped Classrooms
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 715-724
doi	https://doi.org/10.52842/conf.caadria.2019.2.715
summary	With academic curricula for architectural education increasingly packed with new and expanding fields of inquiry, questions emerge on how to incorporate the ever-growing number of subjects that tackle the use of computational tools for design and delivery. This paper analyses approaches to blended learning under a semi-flipped classroom model where learning content gets divided into complementary in-class and online components. The author describes the epistemological challenges in curating the blended-learning mix and discusses ways to optimise learning outcomes while minimising the effort for custom content-development of training material. Two subjects taught at the author's home institution (one in Computational Design and the other for BIM education) serve as case studies to test the flipped classroom approach and to derive feedback from students about their preferred method of delivery.
keywords	BIM; Flipped-Classroom; Computational Design; Education; Online learning
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	cf2019_069
id	cf2019_069
authors	Caetano, Inês ;and António Leitão
year	2019
title	Weaving Architectural Façades: Exploring algorithmic stripe-based design patterns
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 565-584
summary	With the recent technological developments, particularly, the integration of computational design approaches in architecture, the traditional art techniques became increasingly important in the field. This includes weaving techniques, which have a promising application in architectural screens and façade designs. Nevertheless, the adoption of weaving as a design strategy still has many unexplored areas, particularly those related to Algorithmic Design (AD). This paper addresses the creation of weave-based façade patterns by presenting a Generative System (GS) that aids architects that intend to use AD in the design of façades inspired on traditional weaving techniques. This GS proves to reduce the time and effort spent with the programming task, while supporting the exploration of a wider solution space. Moreover, in addition to enabling the integration of user-generated weaving patterns, the GS also provides rationalization algorithms to assess the construction feasibility of the obtained solutions.
keywords	Algorithmic Design, Façade Design, Weaving Patterns, Algorithmic Framework, Rationalization Processes
series	CAAD Futures
type	normal paper
email
last changed	2019/07/29 14:19

_id	caadria2019_491
id	caadria2019_491
authors	Cai, Chenyi, Tang, Peng and Li, Biao
year	2019
title	Intelligent Generation of Architectural layout inheriting spatial features of Chinese Garden Based on Prototype and Multi-agent System - A Case Study on Lotus Teahouse in Yixing
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 291-300
doi	https://doi.org/10.52842/conf.caadria.2019.1.291
summary	This study presents an approach for the intelligent generation of architectural layout, in which partial space inherits Chinese garden spatial features. The approach combines spatial prototype analysis and evolutionary optimization process. On one hand, from the perspective of shape grammar, this paper both analyzes and abstracts the spatial prototype that describes the spatial characteristics of Chinese gardens, including the organization system of architecture and landscape, with the spatial sequences along the tourism orientation. On the other hand, taking the design task of Lotus teahouse as an example, a typical spatial prototype is selected to develop the generative intelligent experiment to achieve the architectural layout, in which the spatial prototype is inherited. Through rule-making and parameter adjustment, the spatial prototype will eventually be transformed into a computational model based on the multi-agent system. Hence, the experiment of intelligent generation of architectural layout is carried out under the influence of the function, form and environmental factors; and a three-dimensional conceptual model that inherits the Chinese garden spatial prototype is obtained ultimately.
keywords	Chinese garden; Architectural layout; Spatial prototype; Multi-agent system; Intelligent generation
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2020_093
id	caadria2020_093
authors	Cerovsek, Tomo and Martens, Bob
year	2020
title	The Evolution of CAADRIA Conferences - A Bibliometric Approach
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 325-334
doi	https://doi.org/10.52842/conf.caadria.2020.1.325
summary	This paper presents an analysis of the output, impact, use and content of 1,860 papers that were published in the CAADRIA conference proceedings over the last 20+ years (from 1996 to 2019). The applied methodology is a blend of bibliometrics, webometrics and clustering with text mining. The bibliometric analysis leads to quantitative and qualitative results on three levels: (1) author, (2) article and (3) association. The most productive authors authored over 50 papers, and the top 20% authors have over 80 % of all citations generated by CAADRIA proceedings. The overall impact of CAADRIA may be characterised by nearly 2,000 known citations and by the h-index that is 17. The webometrics based on CumInCAD.org reveals that the CAADRIA papers served over 200 k users, which is a considerable visibility for scientific CAAD output. The keywords most frequently used by authors were digital fabrication, BIM and parametric, generative, computational design. Notably, 90% of the papers' descriptors are 2-grams. This study may be useful to researchers, educators and publishers interested in CAAD.
keywords	bibliometrics; open source; text clustering; n-gram
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2019_242
id	caadria2019_242
authors	Davidova, Marie
year	2019
title	Intelligent Informed Landscapes - The Eco-Systemic Prototypical Interventions' Generative and Iterative Co-Designing Co-Performances, Agencies and Processes
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 151-160
doi	https://doi.org/10.52842/conf.caadria.2019.2.151
summary	The work fights for a shift from Anthropocene in urban environment through both, analogue and digital eco-systemic prototypical urban interventions, mixing biological as well as digital performances of post-digital landscape. It directly engages with the local human and non-human communities as well as it offers its online recipes and codes for DIY local iterations tagged in public space. Such intelligent and informed cultural landscape therefore covers several multi-layered generative and iterative agencies for its self-development.
keywords	Systemic Approach to Architectural Performance; Intelligent Informed Landscapes; Post-Anthropocene; Eco-Systemic Prototypical Urban Interventions ; DIY
series	CAADRIA
type	normal paper
email
last changed	2024/01/09 06:23

_id	ecaadesigradi2019_514
id	ecaadesigradi2019_514
authors	de Miguel, Jaime, Villafa?e, Maria Eugenia, Piškorec, Luka and Sancho-Caparrini, Fernando
year	2019
title	Deep Form Finding - Using Variational Autoencoders for deep form finding of structural typologies
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 71-80
doi	https://doi.org/10.52842/conf.ecaade.2019.1.071
summary	In this paper, we are aiming to present a methodology for generation, manipulation and form finding of structural typologies using variational autoencoders, a machine learning model based on neural networks. We are giving a detailed description of the neural network architecture used as well as the data representation based on the concept of a 3D-canvas with voxelized wireframes. In this 3D-canvas, the input geometry of the building typologies is represented through their connectivity map and subsequently augmented to increase the size of the training set. Our variational autoencoder model then learns a continuous latent distribution of the input data from which we can sample to generate new geometry instances, essentially hybrids of the initial input geometries. Finally, we present the results of these computational experiments and lay out the conclusions as well as outlook for future research in this field.
keywords	artificial intelligence; deep neural networks; variational autoencoders; generative design; form finding; structural design
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	caadria2019_626
id	caadria2019_626
authors	Hahm, Soomeen, Maciel, Abel, Sumitiomo, Eri and Lopez Rodriguez, Alvaro
year	2019
title	FlowMorph - Exploring the human-material interaction in digitally augmented craftsmanship
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 553-562
doi	https://doi.org/10.52842/conf.caadria.2019.1.553
summary	It has been proposed that, after the internet age, we are now entering a new era of the '/Augmented Age/' (King, 2016). Physician Michio Kaku imagined the future of architects will be relying heavily on Augmented Reality technology (Kaku, 2015). Augmented reality technology is not a new technology and has been evolving rapidly. In the last three years, the technology has been applied in mainstream consumer devices (Coppens, 2017). This opened up possibilities in every aspect of our daily lives and it is expected that this will have a great impact on every field of consumer's technology in near future, including design and fabrication. What is the future of design and making? What kind of new digital fabrication paradigm will emerge from inevitable technological development? What kind of impact will this have on the built environment and industry? FlowMorph is a research project developed in the Bartlett School of Architecture, B-Pro AD with the collaboration of the authors and students as a 12 month MArch programme, we developed a unique design project trying to answer these questions which will be introduced in this paper.
keywords	Augmented Reality, Mixed Reality, Virtual Reality, Design Augmentation, Digital Fabrication, Cognition models, Conceptual Designing, Design Process, Design by Making, Generative Design, Computational Design, Human-Machine Collaboration, Human-Computer Collaboration, Human intuition in digital fabrication
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2019_369
id	caadria2019_369
authors	Hirschberg, Urs
year	2019
title	Harmonielehre for Architects - Exploring the relationship between music and architecture by scripting
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 757-766
doi	https://doi.org/10.52842/conf.caadria.2019.2.757
summary	This paper reports on an introductory scripting class that, whilst teaching the basics of algorithmic design to a large number of architecture students, also explored the commonalities between architecture and music. Historical and recent precedents as well as the theoretical and the practical aspect of the project and its pedagogical outcomes are discussed. The technical section includes a detailed description of the setup created for the students. The musical data format used was MIDI (Musical Instrument Digital Interface), which was read into the 3D computer graphics package MAYA and turned into 3D geometries using the scripting language MEL (Maya Embedded Language). The paper also discusses the resulting student works and in how far the musical nature of the data is visible in them.
keywords	Computational Design Education; Generative & Algorithmic Design; Scripting; Architecture and Music; MIDI
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2019_643
id	caadria2019_643
authors	Hramyka, Alina, Grewal, Neil, Makki, Mohammed and Dillon, Brittney
year	2019
title	Intelligent Territory - A responsive cooling tower and shading system for arid environments
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 571-580
doi	https://doi.org/10.52842/conf.caadria.2019.2.571
summary	Climatic change coupled with desertification processes impacting cities located around the Mediterranean, has raised serious questions for the capability of the affected cities to adapt to the rapidly changing environmental conditions. This research aims to design small-scale tower structures and shading devices in Nicosia, Cyprus through employing environmental analyses within a generative design process to create an intelligent, adaptive system. Guided by Bernoulli's principles, geometrical design parameters acquired from fluid simulations, alongside solar analyses of the existing city fabric, were used to generate an evolutionary algorithm for design. The research develops a methodology to facilitate environmental flows in urban architectural systems, generating cooling processes in arid environments that facilitate the adaptation of cities to changes in climatic and environmental conditions.
keywords	CFD Simulation; Generative Design; Desertification; Passive cooling system
series	CAADRIA
type	normal paper
email
last changed	2022/06/07 07:51

_id	caadria2019_104
id	caadria2019_104
authors	Johan, Ryan, Chernyavsky, Michael, Fabbri, Alessandra, Gardner, Nicole, Haeusler, M. Hank and Zavoleas, Yannis
year	2019
title	Building Intelligence Through Generative Design - Structural analysis and optimisation informed by material performance
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 371-380
doi	https://doi.org/10.52842/conf.caadria.2019.1.371
summary	Generative design (GD) is the process of defining high-level goals and constraints and then using computation to automatically explore a range of solutions that meet the desired requirements. Generative processes are intelligent ways to fast-track early design stages. The outcomes are analyzed simultaneously to inform decisions for architects and engineers. Whilst material properties have been defined as a driving agent within generative systems to calculate structure, material performance or structural capacity are not linked with early decision-making. In response, this paper sets a constrained approach upon traditional and non-traditional materials to validate the feasibility of structures. A GD tool is developed within Grasshopper using C-sharp, Karamaba3D, Galapagos and various engineering formulas. The result is a script, which prioritizes the structural qualities of material as a driving factor within generative systems and facilitates communication across different expertise.
keywords	Intelligent systems; generative design; material properties; structural analysis; evolutionary algorithms
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2019_462
id	caadria2019_462
authors	Koh, Immanuel, Amorim, Pedro and Huang, Jeffrey
year	2019
title	Machinic Design Inference: from PokÃ©mon to Architecture - A Probabilistic Machine Learning Model for Generative Design using Game Levels Abstractions
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 421-430
doi	https://doi.org/10.52842/conf.caadria.2019.2.421
summary	In this paper, we use a probabilistic machine learning model, trained with a corpus of existing game levels tile-maps, to study the potential of an inference design system for architectural design. Our system is able to extract implicit spatial patterns and generate new spatial configurations with similar semantics of perception and navigation.
keywords	Machine Learning; Artificial Intelligence; Generative Design
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2019_307
id	caadria2019_307
authors	Nguyen, Binh Vinh Duc, Peng, Chengzhi and Wang, Tsung-Hsien
year	2019
title	KOALA - Developing a generative house design system with agent-based modelling of social spatial processes
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 235-244
doi	https://doi.org/10.52842/conf.caadria.2019.1.235
summary	The paper presents the development of an agent-based approach to modelling the interaction of human emotion and behaviour with built spaces. The study addresses how human behaviour and social relation can be represented and modelled to interact with a virtual built environment composed in parametric architectural geometry. KOALA, a prototype of agent-based modelling of social spatial dynamics at the core of a parametric architectural design environment is proposed. In building KOALA's system architecture, we adapted the PECS (Physical, Emotional, Cognitive, Social) reference model of human behaviour (Schmidt 2002) and introduced the concept of Social Spatial Comfort as a measurement of three key factors influencing human spatial experiences. KOALA was evaluated by a comparative modelling of two contrasting Vietnamese dwellings known to us. As expected, KOALA returns very different temporal characteristics of spatial modifications of the two dwellings over a simulated timeframe of one year. We discuss the lessons learned and further research required.
keywords	Parametricism; generative house design system; architectural parametric geometry; human behaviour; social-spatial dynamics
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	cf2019_064
id	cf2019_064
authors	Noronha Pinto de Oliveira E Sousa, Marcela and Maria Gabriela Caffarena Celani
year	2019
title	Towards Urban Densification Using Shape Grammar to Develop Components for Retrofitting Street Design
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 505
summary	Cities will have to become denser to accommodate expanding urban populations, creating a challenge for urban mobility. Existing urban infrastructure must be retrofitted to promote the use of collective and active modes of transportation. This article presents a prescriptive grammar, for retrofitting urban street design in the context of densification, based on patterns extracted from current guides and manuals. This prescriptive grammar is a crossover between concepts of shape grammar and pattern language, joining generative capabilities of geometric shape grammars with descriptive and prescriptive approaches commonly referred to as design patterns. An example is presented to illustrate its application.
keywords	Shape Grammar, Parametric Urbanism, Travel Behavior
series	CAAD Futures
email
last changed	2019/07/29 14:18

_id	ecaadesigradi2019_112
id	ecaadesigradi2019_112
authors	Rahimian, Mina, Nuno Beir?o, José, Pinto Duarte, José and Domenica Iulo, Lisa
year	2019
title	A Grammar-Based Generative Urban Design Tool Considering Topographic Constraints - The Case for American Urban Planning
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 267-276
doi	https://doi.org/10.52842/conf.ecaade.2019.3.267
summary	This paper explains the development of a generative urban design tool based on shape grammars. The novelty of this tool lies in considering the topographic constraints of the site and generating various alternatives of urban design scenarios accordingly. For the purposes of this research, San Diego has been chosen as an example of a steep city with varied topography that, in consequence, has created distinct urban typologies within the city. With the use of shape grammars, the rules and patterns forming the urban structure of each typology have been decodified. The extracted urban shape grammar is then used as the basis for a generative design tool producing various urban design scenarios considering the limitations and potential of the site's topology. This paper describes the extracted urban shape grammars and how that informs the development of the presented generative urban design tool.
keywords	Generative Design; Urban Shape Grammars; Topography; American Urban Planning
series	eCAADeSIGraDi
email
last changed	2022/06/07 08:00

_id	caadria2020_259
id	caadria2020_259
authors	Rhee, Jinmo, Veloso, Pedro and Krishnamurti, Ramesh
year	2020
title	Integrating building footprint prediction and building massing - an experiment in Pittsburgh
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 669-678
doi	https://doi.org/10.52842/conf.caadria.2020.2.669
summary	We present a novel method for generating building geometry using deep learning techniques based on contextual geometry in urban context and explore its potential to support building massing. For contextual geometry, we opted to investigate the building footprint, a main interface between urban and architectural forms. For training, we collected GIS data of building footprints and geometries of parcels from Pittsburgh and created a large dataset of Diagrammatic Image Dataset (DID). We employed a modified version of a VGG neural network to model the relationship between (c) a diagrammatic image of a building parcel and context without the footprint, and (q) a quadrilateral representing the original footprint. The option for simple geometrical output enables direct integration with custom design workflows because it obviates image processing and increases training speed. After training the neural network with a curated dataset, we explore a generative workflow for building massing that integrates contextual and programmatic data. As trained model can suggest a contextual boundary for a new site, we used Massigner (Rhee and Chung 2019) to recommend massing alternatives based on the subtraction of voids inside the contextual boundary that satisfy design constraints and programmatic requirements. This new method suggests the potential that learning-based method can be an alternative of rule-based design methods to grasp the complex relationships between design elements.
keywords	Deep Learning; Prediction; Building Footprint; Massing; Generative Design
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2019_103
id	caadria2019_103
authors	Silva, Lilian, Silva, Neander and Lacroix, Igor
year	2019
title	Integrating Parametric Modeling with BIM through Generative Programming for the production of NURBS Surfaces and Structures
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 635-644
doi	https://doi.org/10.52842/conf.caadria.2019.1.635
summary	A workflow for integration of parametric modeling with BIM, using generative-programming, is described and tested in this research. The objective is to take advantage of these two distinctive design paradigms. This paper describes a design experiment that required a NURBS roof generated by sweeping profiles along a curved path. We assumed the use of multiple applications, using various file formats, are facts and are unlikely to disappear. Given that interoperability issues will certainly arise, we propose and test a design workflow using parametric modeling, generative programming, and building information modeling. Our major contribution was defining a workflow for designing NURBS surfaces and corresponding supporting structures enhancing interoperability among different applications through generative-programming.
keywords	NURBS; Parametric; Programming; Interoperability; BIM
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2019_646
id	caadria2019_646
authors	van Ameijde, Jeroen
year	2019
title	Non-Standard Housing - Exploring Generative Design Strategies for Differentiated Residential Projects
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 241-250
doi	https://doi.org/10.52842/conf.caadria.2019.2.241
summary	This paper presents arguments and experiences around generative design applied to housing, combining the potential of computational tools with an agenda to increase internal differentiation. It argues for a more varied and mixed approach to the clustering of apartment types and building typologies to increase the social diversity within projects and in relation to this, the sustainability and resilience of urban environments towards future societal changes. Through the discussion of two residential projects operating at different scales, it is shown how carefully calibrated complexity can be introduced in the design process, communicating with clients and collaborators and keeping the complexity of the workflow minimised. It is argued that this avenue of work points to significant opportunities to rethink how computational architectural and urban design processes can be linked to social sciences and a more human-centred approach within the understanding of performance of the built environment.
keywords	Generative Design Methodologies; Urban Planning and Design; Housing; Generative Architectural Design
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2019_422
id	caadria2019_422
authors	Wang, Xiao, Tang, Peng and Shi, Xing
year	2019
title	Analysis and Conservation Methods of Traditional Architecture and Settlement Based on Knowledge Discovery and Digital Generation - A Case Study of Gunanjie Street in China
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 757-766
doi	https://doi.org/10.52842/conf.caadria.2019.1.757
summary	In the conservation plan of traditional architecture and settlement, the mismatch between design and construction is an inevitable problem. The mismatch commonly shows as the variations in the cognition of the traditionality of architecture feature. In most cases, the evaluation of historical feature is made based on designers' subjective perception, experience, and understanding of the traditional style. Also, without an appropriate guide and unified control, it could make the conservation plan less efficient in practice. Therefore, a quantitative method for conservation plan is needed, which is expected to be effective especially for massive non-key but traditional ordinary buildings. In this study on Gunanjie Street, in Yixing, China, a new method of feature analysis and generative design was developed to regenerate the district. The proposed method first adapted new data acquisition and processing techniques to gather information and build the database. Cognition investigation and morphology analysis were then implemented to quantify and evaluate the features of historical characteristics, as well as the knowledge discovery tools, were further used to abstract the rules of the traditional facade. With these phases, the proposed method was able to generate the referable design schemes quantitatively and establish generally accepted conservation plans and guidelines.
keywords	Traditional architecture and settlement; historical feature; Knowledge Discovery; digital generation; conservation
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2019_100
id	caadria2019_100
authors	Xu, Jianan and Li, Biao
year	2019
title	Searching on Residential Architecture Design based on Integer Programming
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 263-270
doi	https://doi.org/10.52842/conf.caadria.2019.1.263
summary	This paper describes an approach to using integer programming algorithms for computer-aided architecture design, taking residential buildings as an example. The research realized the dense arrangement of multiple shape templates in a certain domain of orthogonal grids. In addition, combined with the topological relationship of building functions, a single-story residential building layout is generated. The architectural design problems at different levels are solved by changing the objective function and restrictions in the integer programming algorithm. The algorithm can be expanded and employed to other fields of architecture, and may provide new architectural methodologies.
keywords	Generative Design; Architectural layout planning; Integer Programming; Topology
series	CAADRIA
email
last changed	2022/06/07 07:57

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