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 caadria2018_181
id caadria2018_181
authors Chun, Junho, Lee, Juhun and Park, Daekwon
year 2018
title TOPO-JOINT - Topology Optimization Framework for 3D-Printed Building Joints
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 205-214
doi https://doi.org/10.52842/conf.caadria.2018.1.205
summary Joints and connectors are often the most complex element in building assemblies and systems. To ensure the performance of the assemblies and systems, it is critical to optimize the geometry and configurations of the joints based on key functional requirements (e.g., stiffness and thermal exchange). The proposed research focuses on developing a multi-objective topology optimization framework that can be utilized to design highly customized joints and connections for building applications. The optimized joints that often resemble tree structures or bones are fabricated using additive manufacturing techniques. This framework is built upon the integration of high-fidelity topology optimization algorithms, additive manufacturing, computer simulations and parametric design. Case studies and numerical applications are presented to demonstrate the validity and effectiveness of the proposed optimization and additive manufacturing framework. Optimal joint designs from a variety of architectural and structural design considerations, such as stiffness, thermal exchange, and vibration are discussed to provide an insightful interpretation of these interrelationships and their impact on joint performance.
keywords Topology optimization; parametric design; 3d printing
series CAADRIA
email
last changed 2022/06/07 07:56

_id caadria2018_293
id caadria2018_293
authors Lee, Jisun and Lee, Hyunsoo
year 2018
title The Visible and Invisible Network of a Self-Organizing Town - Agent-Based Simulation for Investigating Urban Development Process
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 411-420
doi https://doi.org/10.52842/conf.caadria.2018.2.411
summary This study applies self-organization as a methodology to understand the complex process of city networks caused by interactions between spatial structures and individual behaviors. The agent-based simulations have been conducted to investigate the visible and invisible networks understanding the self-organized aspects of city development processes. To develop optimal future networks providing connectivity and accessibility this study investigates spatial network configurations from internal individual behavior and movement. As results, it was found that the spatial configurations of the agent movement trails match to the current district boundaries and the similar network patterns were seen in various control values of agent behavior settings. This study contributes to searching out the hierarchy of network structures which is an important factor for re-planning of the way system.
keywords Agent-based simulation; network analysis ; self organization ; urban development process ; Physarum polycephalum
series CAADRIA
email
last changed 2022/06/07 07:52

_id ecaaderis2018_119
id ecaaderis2018_119
authors Georgiou, Odysseas
year 2018
title The Oval - a complex geometry BIM case study
source Odysseas Kontovourkis (ed.), Sustainable Computational Workflows [6th eCAADe Regional International Workshop Proceedings / ISBN 9789491207143], Department of Architecture, University of Cyprus, Nicosia, Cyprus, 24-25 May 2018, pp. 141-150
keywords This paper documents the steps followed to design and construct an oval shaped, high rise structure in Limassol Cyprus. The author presents the developed computational framework which was purposely built to support multiple levels and disciplines of design, construction and digital fabrication leading to a successful delivery of a complex geometry project within time and budget. A fully informed model involving multi-disciplinary data ranging from its conception to its completion establishes a sustainable paradigm for the construction industry, mainly because of its single source of control as opposed to other precedents involving multiple models and information.
series eCAADe
email
last changed 2018/05/29 14:33

_id acadia18_226
id acadia18_226
authors Glynn, Ruairi; Abramovic, Vasilija; Overvelde, Johannes T. B.
year 2018
title Edge of Chaos. Towards intelligent architecture through distributed control systems based on Cellular Automata.
source ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 226-231
doi https://doi.org/10.52842/conf.acadia.2018.226
summary From the “Edge of Chaos”, a mathematical space discovered by computer scientist Christopher Langton (1997), compelling behaviors originate that exhibit both degrees of organization and instability creating a continuous dance between order and chaos. This paper presents a project intended to make this complex theory tangible through an interactive installation based on metamaterial research which demonstrates emergent behavior using Cellular Automata (CA) techniques, illustrated through sound, light and motion. We present a multi-sensory narrative approach that encourages playful exploration and contemplation on perhaps the biggest questions of how life could emerge from the disorder of the universe.

We argue a way of creating intelligent architecture, not through classical Artificial Intelligence (AI), but rather through Artificial Life (ALife), embracing the aesthetic emergent possibilities that can spontaneously arise from this approach. In order to make these ideas of emergent life more tangible we present this paper in four integrated parts, namely: narrative, material, hardware and computation. The Edge of Chaos installation is an explicit realization of creating emergent systems and translating them into an architectural design. Our results demonstrate the effectiveness of a custom CA for maximizing aesthetic impact while minimizing the live time of architectural kinetic elements.

keywords work in progress, complexity, responsive architecture, distributed computing, emergence, installation, interactive architecture, cellular automata
series ACADIA
type paper
email
last changed 2022/06/07 07:51

_id caadria2018_018
id caadria2018_018
authors Lin, Yuming and Huang, Weixin
year 2018
title Social Behavior Analysis in Innovation Incubator Based on Wi-Fi Data - A Case Study on Yan Jing Lane Community
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 197-206
doi https://doi.org/10.52842/conf.caadria.2018.2.197
summary Innovation incubator is an emerging kind of office space which focuses on promoting social interaction in the space. From the perspective of environmental behavior, the complex relationship between a particular space form and the social interactions is well worth exploring. Based on Wi-Fi positioning data, this paper examined the spatial and temporal behavior in innovation incubators. Using the interdisciplinary social networks analysis, this paper further analyzed the social interactions in this space, mining out social structures such as gathering and community, and analyzing the relationship between these structures and spaces. The result shows that human behavior in innovation incubators has some interesting characteristics, and the social structures are closely linked with the functional area of innovation incubator. This paper provides a new perspective and introduces interdisciplinary approaches to study the social behaviors in a particular space form, which has great potential in future research.
keywords environmental behavior study; social behavior analysis; innovation incubator; Wi-Fi IPS; social network
series CAADRIA
email
last changed 2022/06/07 07:59

_id caadria2023_362
id caadria2023_362
authors Luo, Jiaxiang, Mastrokalou, Efthymia, Aldabous, Rahaf, Aldaboos, Sarah and Lopez Rodriguez, Alvaro
year 2023
title Fabrication of Complex Clay Structures Through an Augmented Reality Assisted Platform
source Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 413–422
doi https://doi.org/10.52842/conf.caadria.2023.1.413
summary The relationship between clay manufacturing and architectural design has a long trajectory that has been explored since the early 2000s. From a 3D printing or assembly perspective, using clay in combination with automated processes in architecture to achieve computational design solutions is well established. (Yuan, Leach & Menges, 2018). Craft-based clay art, however, still lacks effective computational design integration. With the improvement of Augmented Reality (AR) technologies (Driscoll et al., 2017) and the appearance of digital platforms, new opportunities to integrate clay manufacturing and computational design have emerged. The concept of digitally transferring crafting skills, using holographic guidance and machine learning, could make clay crafting accessible to more workers while creating the potential to share and exchange digital designs via an open-source manufacturing platform. In this context, this research project explores the potential of integrating computational design and clay crafting using AR. Moreover, it introduces a platform that enables AR guidance and the digital transfer of fabrication skills, allowing even amateur users with no prior making experience to produce complex clay components.
keywords Computer vision, Distributed manufacturing, Augmented craftsmanship, Augmented reality, Real-time modification, Hololens
series CAADRIA
email
last changed 2023/06/15 23:14

_id caadria2018_198
id caadria2018_198
authors Reinhardt, Dagmar, Candido, Christhina, Cabrera, Densil, Wozniak-O'Connor, Dylan, Watt, Rodney, Bickerton, Chris, Titchkosky, Ninotschka and Houda, Maryam
year 2018
title Onsite Robotic Fabrication for Flexible Workspaces - Towards Design and Robotic Fabrication of an Integrated Responsive Ceiling System for A Workspace Environment
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 59-68
doi https://doi.org/10.52842/conf.caadria.2018.1.059
summary Open, flexible workspaces were introduced decades ago, but architectural design approaches to ceiling systems have not changed substantially. This paper discusses the development of strategies and prototypes for a lightweight, integrated ceiling structure that is robotically woven. Through geometrically complex, fibre-reinforced building elements that are produced onsite, a new distribution system for data and light can be provided and support individual and multi-group collaborations in an contemporary open-plan office for maximum flexibility. The paper introduces applied design research with case studies that test robotic weaving on an architectural ceiling. The second part contextualises the presented work by linking it to workspace scenarios and an on-site robotic process with a resulting data distribution that is designed to produce degrees of freedom for high flexibility in use, allowing occupants to organise the workspace layout autonomously so that workflow constellations in different teams can be adequately expressed through space. The paper concludes with a discussion of a framework for robotic methods developed for the carbon-fibre overhead weaving processes, followed by conclusions and outlook towards future potentials.
keywords open collaborative workspace; robotic onsite weaving; carbon fiber; integrated ceiling systems
series CAADRIA
email
last changed 2022/06/07 08:00

_id caadria2018_001
id caadria2018_001
authors T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.)
year 2018
title CAADRIA 2018: Learning, Prototyping and Adapting, Volume 2
source Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, 610 p.
doi https://doi.org/10.52842/conf.caadria.2018.2
summary Rapidly evolving technologies are increasingly shaping our societies as well as our understanding of the discipline of architecture. Computational developments in fields such as machine learning and data mining enable the creation of learning networks that involve architects alongside algorithms in developing new understanding. Such networks are increasingly able to observe current social conditions, plan, decide, act on changing scenarios, learn from the consequences of their actions, and recognize patterns out of complex activity networks. While digital technologies have already enabled architecture to transcend static physical boxes, new challenges of the present and visions for the future continue to call for both innovative responses integrating emerging technologies into experimental architectural practice and their critical reflection. In this process, the capability of adapting to complex social and environmental challenges through learning, prototyping and verifying solution proposals in the context of rapidly shifting realities has become a core challenge to the architecture discipline. Supported by advancing technologies, architects and researchers are creating new frameworks for digital workflows that engage with new challenges in a variety of ways. Learning networks that recognize patterns from massive data, rapid prototyping systems that flexibly iterate innovative physical solutions, and adaptive design methods all contribute to a flexible and networked digital architecture that is able to learn from both past and present to evolve towards a promising vision of the future.
series CAADRIA
last changed 2022/06/07 07:49

_id caadria2018_000
id caadria2018_000
authors T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.)
year 2018
title CAADRIA 2018: Learning, Prototyping and Adapting, Volume 1
source Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, 578 p.
doi https://doi.org/10.52842/conf.caadria.2018.1
summary Rapidly evolving technologies are increasingly shaping our societies as well as our understanding of the discipline of architecture. Computational developments in fields such as machine learning and data mining enable the creation of learning networks that involve architects alongside algorithms in developing new understanding. Such networks are increasingly able to observe current social conditions, plan, decide, act on changing scenarios, learn from the consequences of their actions, and recognize patterns out of complex activity networks. While digital technologies have already enabled architecture to transcend static physical boxes, new challenges of the present and visions for the future continue to call for both innovative responses integrating emerging technologies into experimental architectural practice and their critical reflection. In this process, the capability of adapting to complex social and environmental challenges through learning, prototyping and verifying solution proposals in the context of rapidly shifting realities has become a core challenge to the architecture discipline. Supported by advancing technologies, architects and researchers are creating new frameworks for digital workflows that engage with new challenges in a variety of ways. Learning networks that recognize patterns from massive data, rapid prototyping systems that flexibly iterate innovative physical solutions, and adaptive design methods all contribute to a flexible and networked digital architecture that is able to learn from both past and present to evolve towards a promising vision of the future.
series CAADRIA
last changed 2022/06/07 07:49

_id ecaade2018_186
id ecaade2018_186
authors Wang, Sining and Crolla, Kristof
year 2018
title Interaction between Parametric Modelling and Criteria of Product Development in China's Non-standard Practice
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 345-354
doi https://doi.org/10.52842/conf.ecaade.2018.2.345
summary This paper questions the ideal digital paradigm of its applicability for non-standard architectural practice in China. Streamlined multi-disciplinary cooperation may constrain when facing a challenging construction context which notorious for its high speed, lack of craftsmanship, low budgets, and poor detailing. Living with this, however, a group of digital practitioners has successfully been able to complete several non-standard architectural projects with a complex form. An argument raises suggesting an essential part of their success lies in their alternative use of typical parametric models, which are adapted to create tolerance space between design, development, and implementation process in response to local challenges. Here, we study two non-standard cases from Chinese architectural practice HHDFUN. By analysing the project delivery processes, this paper ambitious to extract higher-level knowledge that will contribute to the professional practice and facilitate the extension of an expanded, yet purely digital design solution space into the challenging material world of local construction.
keywords HHDFUN; parametric model; solution space; product development; China's context
series eCAADe
email
last changed 2022/06/07 07:58

_id acadia18_302
id acadia18_302
authors Zivkovic, Sasa; Battaglia, Christopher
year 2018
title Rough Pass Extrusion Tooling. CNC post-processing of 3D-printed sub-additive concrete lattice structures
source ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 302-311
doi https://doi.org/10.52842/conf.acadia.2018.302
summary Rough Pass Extrusion Tooling advances the manufacturing precision of full-scale Sub-Additive 3D printed concrete lattices in a three-step process that involves spatial 3D printing, high precision 3D scanning, and CNC post-processing. Utilizing robotics and computation, Sub-Additive Manufacturing (Battaglia et al. 2018) leverages digital workflows to produce structurally, materially, and spatially optimized lightweight concrete building components. Instead of further refining the 3D printing practice towards accuracy, and unlike other research projects that investigate 3D printing and subsequent post-processing, the method proposes to deliberately print a “rough pass”, accommodating any fabrication inaccuracy inevitably resulting from the concrete material and nozzle extrusion process. In a second step, supported by the advancement of 3D scanning, accuracy and geometric intricacy are achieved through locally post-processing components along edges, in pockets, on surfaces, and in areas of joinery. Rough Pass Extrusion Tooling enables the incorporation of higher fabrication tolerances as well as the integration of building systems, hardware, and complex connections. The method takes full advantage of the 3D printing process while introducing means to dramatically increase fabrication precision. Procedural infidelity – not aiming to solve accuracy through 3D printing alone – enables the development of a technically, methodologically, aesthetically, and performatively progressive multi-process fabrication method which opens a new realm for concrete printing accuracy. This paper closely examines CNC post-processing for Sub-Additive concrete print assemblies, addressing methodologies, opportunities, and shortcomings of such an approach.
keywords full paper, fabrication & robotics, materials/adaptive systems, digital craft, fabrication tolerances
series ACADIA
type paper
email
last changed 2022/06/07 07:57

_id acadia20_382
id acadia20_382
authors Hosmer, Tyson; Tigas, Panagiotis; Reeves, David; He, Ziming
year 2020
title Spatial Assembly with Self-Play Reinforcement Learning
source ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 382-393.
doi https://doi.org/10.52842/conf.acadia.2020.1.382
summary We present a framework to generate intelligent spatial assemblies from sets of digitally encoded spatial parts designed by the architect with embedded principles of prefabrication, assembly awareness, and reconfigurability. The methodology includes a bespoke constraint-solving algorithm for autonomously assembling 3D geometries into larger spatial compositions for the built environment. A series of graph-based analysis methods are applied to each assembly to extract performance metrics related to architectural space-making goals, including structural stability, material density, spatial segmentation, connectivity, and spatial distribution. Together with the constraint-based assembly algorithm and analysis methods, we have integrated a novel application of deep reinforcement (RL) learning for training the models to improve at matching the multiperformance goals established by the user through self-play. RL is applied to improve the selection and sequencing of parts while considering local and global objectives. The user’s design intent is embedded through the design of partial units of 3D space with embedded fabrication principles and their relational constraints over how they connect to each other and the quantifiable goals to drive the distribution of effective features. The methodology has been developed over three years through three case study projects called ArchiGo (2017–2018), NoMAS (2018–2019), and IRSILA (2019-2020). Each demonstrates the potential for buildings with reconfigurable and adaptive life cycles.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

_id ecaaderis2018_110
id ecaaderis2018_110
authors Kyprianou, Stefanos, Polyviou, Pavlos, Tsaggari, Marianna and Phocas, Marios C.
year 2018
title Tall Tensegrities - A Parametric Deformation Control Analysis
source Odysseas Kontovourkis (ed.), Sustainable Computational Workflows [6th eCAADe Regional International Workshop Proceedings / ISBN 9789491207143], Department of Architecture, University of Cyprus, Nicosia, Cyprus, 24-25 May 2018, pp. 87-94
keywords The design of tall structures with high slenderness, i.e. width/height ratio, and minimum self-weight, considers in addition to aspects of modularity, constructability and connectivity of the primary members, the static and dynamic behavior of the systems. Assuming constant mass and damping ratio over the height of the building, the structure necessitates respective definition of its stiffness properties, resulting from its configuration, i.e. geometrical stiffness, and the section properties of the members applied, for achieving controlled deformations under horizontal loading. In particular, structural deformation control is traced in the current paper in simplified means through a Finite-Element Analysis of a tall tensegrity structure with overall system dimensions of 12.12/96 m, i.e. 1/7.92 slenderness, developed in three different configurations. Furthermore, a differentiated pretension of the tension-only members of one of the systems has been applied for control of its response behavior. The parametric structural analysis of the tensegrity systems verifies the significant role of the tension-only elements in the system stabilization and horizontal response.
series eCAADe
email
last changed 2018/05/29 14:33

_id caadria2018_342
id caadria2018_342
authors Bhagat, Nikita, Rybkowski, Zofia, Kalantar, Negar, Dixit, Manish, Bryant, John and Mansoori, Maryam
year 2018
title Modulating Natural Ventilation to Enhance Resilience Through Modifying Nozzle Profiles - Exploring Rapid Prototyping Through 3D-Printing
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 185-194
doi https://doi.org/10.52842/conf.caadria.2018.2.185
summary The study aimed to develop and test an environmentally friendly, easily deployable, and affordable solution for socio-economically challenged populations of the world. 3D-printing (additive manufacturing) was used as a rapid prototyping tool to develop and test a façade system that would modulate air velocity through modifying nozzle profiles to utilize natural cross ventilation techniques in order to improve human comfort in buildings. Constrained by seasonal weather and interior partitions which block the ability to cross ventilate, buildings can be equipped to perform at reduced energy loads and improved internal human comfort by using a façade system composed of retractable nozzles developed through this empirical research. This paper outlines the various stages of development and results obtained from physically testing different profiles of nozzle-forms that would populate the façade system. In addition to optimizing nozzle profiles, the team investigated the potential of collapsible tube systems to permit precise placement of natural ventilation directed at occupants of the built space.
keywords Natural ventilation; Wind velocity; Rapid prototyping; 3D-printing; Nozzle profiles
series CAADRIA
email
last changed 2022/06/07 07:52

_id acadia18_424
id acadia18_424
authors Bucklin, Oliver; Drexler, Hans; Krieg, Oliver David; Menges, Achim
year 2018
title Integrated Solid Timber. A multi-requisite system for the computational design,fabrication, and construction of versatile building envelopes
source ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 424-433
doi https://doi.org/10.52842/conf.acadia.2018.424
summary The paper presents the development of a building system made from solid timber that fulfils the requirements of modern building skins while expanding the design possibilities through innovation in computational design and digital fabrication. Multiple strategies are employed to develop a versatile construction system that generates structure, enclosure and insulation while enabling a broad design space for contemporary architectural expression. The basic construction unit augments the comparatively high insulation values of solid timber by cutting longitudinal slits into beams, generating air chambers that further inhibit thermal conductivity. These units are further enhanced through a joinery system that uses advanced parametric modeling and computerized control to augment traditional joinery techniques. Prototypes of the system are tested at a building component level with digital models and physical laboratory tests. It is further evaluated in a demonstrator building to test development and further refine design, fabrication and assembly methods. Results are integrated into proposals for new methods of implementation. The results of the research thus far demonstrate the validity of the strategy, and continuing research will improve its viability as a building system.
keywords full paper, materials and adaptive systems, digital fabrication, digital craft
series ACADIA
type paper
email
last changed 2022/06/07 07:54

_id ecaade2018_164
id ecaade2018_164
authors Chang, Mei-Chih, Buš, Peter, Tartar, Ayça, Chirkin, Artem and Schmitt, Gerhard
year 2018
title Big-Data Informed Citizen Participatory Urban Identity Design
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 669-678
doi https://doi.org/10.52842/conf.ecaade.2018.2.669
summary The identity of an urban environment is important because it contributes to self-identity, a sense of community, and a sense of place. However, under present-day conditions, the identities of expanding cities are rapidly deteriorating and vanishing, especially in the case of Asian cities. Therefore, cities need to build their urban identity, which includes the past and points to the future. At the same time, cities need to add new features to improve their livability, sustainability, and resilience. In this paper, using data mining technologies for various types of geo-referenced big data and combine them with the space syntax analysis for observing and learning about the socioeconomic behavior and the quality of space. The observed and learned features are identified as the urban identity. The numeric features obtained from data mining are transformed into catalogued levels for designers to understand, which will allow them to propose proper designs that will complement or improve the local traditional features. A workshop in Taiwan, which focuses on a traditional area, demonstrates the result of the proposed methodology and how to transform a traditional area into a livable area. At the same time, we introduce a website platform, Quick Urban Analysis Kit (qua-kit), as a tool for citizens to participate in designs. After the workshop, citizens can view, comment, and vote on different design proposals to provide city authorities and stakeholders with their ideas in a more convenient and responsive way. Therefore, the citizens may deliver their opinions, knowledge, and suggestions for improvements to the investigated neighborhood from their own design perspective.
keywords Urban identity; unsupervised machine learning; Principal Component Analysis (PCA); citizen participated design; space syntax
series eCAADe
email
last changed 2022/06/07 07:56

_id ecaadesigradi2019_249
id ecaadesigradi2019_249
authors Chiarella, Mauro, Gronda, Luciana and Veizaga, Martín
year 2019
title RILAB - architectural envelopes - From spatial representation (generative algorithm) to geometric physical optimization (scientific modeling)
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. 17-24
doi https://doi.org/10.52842/conf.ecaade.2019.3.017
summary Augmented graphical thinking operates by integrating algorithmic, heuristic, and manufacturing processes. The Representation and Ideation Laboratory (RILAB-2018) exercise begins with the application of a parametric definition developed by the team of teachers, allowing for the construction of structural systems by the means of the combination of segmental shells and bending-active. The main objetive is the construction of a scientific model of simulation for bending-active laminar structures has brought into reality trustworthy previews for architectural envelopes through the interaction of parametrized relational variables. This way we put designers in a strategic role for the building of the pre-analysis models, allowing more preciseness at the time of picking and defining materials, shapes, spaces and technologies and thus minimizing the decisions based solely in the definition of structural typological categories, local tradition or direct experience. The results verify that the strategic integration of models of geometric physical optimization and spatial representation greatly expand the capabilities in the construction of the complex system that operates in the act of projecting architecture.
keywords architectural envelopes; augmented graphic thinking; geometric optimization; bending-active
series eCAADeSIGraDi
email
last changed 2022/06/07 07:55

_id ecaade2018_301
id ecaade2018_301
authors Cocho-Bermejo, Ana, Birgonul, Zeynep and Navarro-Mateu, Diego
year 2018
title Adaptive & Morphogenetic City Research Laboratory
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 659-668
doi https://doi.org/10.52842/conf.ecaade.2018.2.659
summary "Smart City" business model is guiding the development of future metropolises. Software industry sales to town halls for city management services efficiency improvement are, these days, a very pro?table business. Being the model decided by the industry, it can develop into a dangerous situation in which the basis of the new city design methodologies is decided by agents outside academia expertise. Drawing on complex science, social physics, urban economics, transportation theory, regional science and urban geography, the Lab is dedicated to the systematic analysis of, and theoretical speculation on, the recently coined "Science of Cities" discipline. On the research agenda there are questions arising from the synthesis of architecture, urban design, computer science and sociology. Collaboration with citizens through inclusion and empowerment, and, relationships "City-Data-Planner-Citizen" and "Citizen-Design-Science", configure Lab's methodology provoking a dynamic responsive process of design that is yet missing on the path towards the real responsive city.
keywords Smart City; Morphogenetic Urban Design; Internet of Things; Building Information Modelling; Evolutionary Algorithms; Machine Learning & Artificial Intelligence
series eCAADe
email
last changed 2022/06/07 07:56

_id caadria2018_333
id caadria2018_333
authors Cupkova, Dana, Byrne, Daragh and Cascaval, Dan
year 2018
title Sentient Concrete - Developing Embedded Thermal and Thermochromic Interactions for Architecture and Built Environment
source T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 545-554
doi https://doi.org/10.52842/conf.caadria.2018.2.545
summary Historically, architectural design focused on adaptation of built environment to serve human needs. Recently embedded computation and digital fabrication have advanced means to actuate physical infrastructure in real-time. These 'reactive spaces' have typically explored movement and media as a means to achieve reactivity and physical deformation (Chatting et al. 2017). However, here we recontextualize 'reactive' as finding new mechanisms for permanent and non-deformable everyday materials and environments. In this paper, we describe our ongoing work to create a series of complex forms - modular concrete panels - using thermal, tactile and thermochromic responses controlled by embedded networked system. We create individualized pathways to thermally actuate these surfaces and explore expressive methods to respond to the conditions around these forms - the environment, the systems that support them, their interaction and relationships to human occupants. We outline the design processes to achieve thermally adaptive concrete panels, illustrate interactive scenarios that our system enables, and discuss opportunities for new forms of interactivity within the built environment.
keywords Responsive environments; Geometrically induced thermodynamics; Ambient devices; Internet of things; Modular electronic systems
series CAADRIA
email
last changed 2022/06/07 07:56

_id ecaade2018_412
id ecaade2018_412
authors Flanagan, Robert
year 2018
title BIM’s Complexity and Ambiguity - BIM v. Paper Architecture
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 265-270
doi https://doi.org/10.52842/conf.ecaade.2018.1.265
summary Architects rely on the graphic language of words and art to bridge intention and design, just as it has always been. Yet, passing an idea or concept from mental imagery to design practice through 2D, 3D, and 4D design filters is especially challenging in BIM technology. Severe limitations hinder or even preclude BIMs use in certain complex design tasks, as identified in the Anti-Box, "The anti-box celebrates the death of the ninety-degree angle- in fact, every angle." (de Graaf 2017). Compatibility and constraints determine the most appropriate uses of BIM software, from designing mundane shopping mall developments to complex architectural engineering feats that stagger the imagination. BIM's main benefit is in the middle when it is creatively employed by professional architects in multi-discipline collaborations, well versed in symbolic representation, of designs conceived of multivalent design factors: narrative, form, function, multi-sensory access, materiality, space, and environment.
keywords BIM; analog; HIC; Constructivist; Chernikov; photomatch
series eCAADe
email
last changed 2022/06/07 07:51

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