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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Hits 1 to 20 of 241

_id caadria2020_281
id caadria2020_281
authors Abdelmohsen, Sherif and Hassab, Ahmed
year 2020
title A Computational Approach for the Mass Customization of Materially Informed Double Curved A Computational Approach for the Mass Customization of Materially Informed Double Curved Façade Panels
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. 163-172
doi https://doi.org/10.52842/conf.caadria.2020.1.163
summary Despite recent approaches to enable the mass customization of double curved façade panels, there still exist challenges including waste reduction, accuracy, surface continuity, economic feasibility, and workflow disintegration. This paper proposes a computational approach for the design and fabrication of materially informed double curved façade panels with complex geometry. This approach proposes an optimized workflow to generate customizable double curved panels with complex geometry and different material properties, and optimize fabrication workflow for waste reduction. This workflow is applied to four different fabrication techniques: (1) vacuum forming, (2) clay extrusion, (3) sectioning, and (4) tessellation. Four experiments are introduced to apply surface rationalization and optimization using Rhino and Grasshopper scripting. Upon simulating each of the four design-to-fabrication techniques through different iterations, the experiment results demonstrated how the proposed workflows produced optimized surfaces with higher levels of accuracy and reduced waste material, customized per type of material and surface complexity.
keywords Digital fabrication; Double curved facades; Mass customization; Design-to-fabrication
series CAADRIA
type normal paper
email
last changed 2022/06/07 07:54

_id caadria2020_443
id caadria2020_443
authors Abuzuraiq, Ahmed M. and Erhan, Halil
year 2020
title The Many Faces of Similarity - A Visual Analytics Approach for Design Space Simplification
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. 485-494
doi https://doi.org/10.52842/conf.caadria.2020.1.485
summary Generative design methods may involve a complex design space with an overwhelming number of alternatives with their form and design performance data. Existing research addresses this complexity by introducing various techniques for simplification through clustering and dimensionality reduction. In this study, we further analyze the relevant literature on design space simplification and exploration to identify their potentials and gaps. We find that the potentials include: alleviating the choice overload problem, opening up new venues for interrelating design forms and data, creating visual overviews of the design space and introducing ways of creating form-driven queries. Building on that, we present the first prototype of a design analytics dashboard that combines coordinated and interactive visualizations of design forms and performance data along with the result of simplifying the design space through hierarchical clustering.
keywords Visual Analytics; Design Exploration; Dimensionality Reduction; Clustering; Similarity-based Exploration
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2020_306
id caadria2020_306
authors Akizuki, Yuta, Bernhard, Mathias, Kakooee, Reza, Kladeftira, Marirena and Dillenburger, Benjamin
year 2020
title Generative Modelling with Design Constraints - Reinforcement Learning for Object Generation
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. 445-454
doi https://doi.org/10.52842/conf.caadria.2020.1.445
summary Generative design has been explored to produce unprecedented geometries, nevertheless design constraints are, in most cases, second-graded in the computational process. In this paper, reinforcement learning is deployed in order to explore the potential of generative design satisfying design objectives. The aim is to overcome the three issues identified in the state of the art: topological inconsistency, less variations in style and unpredictability in design. The goal of this paper is to develop a machine learning framework, which works as an intellectual design interpreter capable of codifying an input geometry to form a new geometry. Experiments demonstrate that the proposed method can generate a family of tables of unique aesthetics, satisfying topological consistency under given constraints.
keywords generative design; computational design; data-driven design; reinforcement learning; machine learning
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2003_c2-4
id caadria2003_c2-4
authors Al-Sallal, Khaled A.
year 2003
title Integrating Energy Design Into Caad Tools: Theoretical Limits and Potentials
source CAADRIA 2003 [Proceedings of the 8th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 974-9584-13-9] Bangkok Thailand 18-20 October 2003, pp. 323-340
doi https://doi.org/10.52842/conf.caadria.2003.323
summary The study is part of a research aims to establish theoretical grounds essential for the development of user efficient design tools for energy-conscious architectural design, based on theories in human factors of intelligent interfaces, problem solving, and architectural design. It starts by reviewing the shortcomings of the current energy design tools, from both architectural design and human factor points of view. It discusses the issues of energy integration with design from three different points of view: architectural, problem-solving, and human factors. It evaluates theoretically the potentials and limitations of the current approaches and technologies in artificial intelligence toward achieving the notion "integrating energy design knowledge into the design process" in practice and education based on research in the area of problem solving and human factors and usability concerns. The study considers the user interface model that is based on the cognitive approach and can be implemented by the hierarchical structure and the object-oriented model, as a promising direction for future development. That is because this model regards the user as the center of the design tool. However, there are still limitations that require extensive research in both theoretical and implementation directions. At the end, the study concludes by discussing the important points for future research.
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2020_046
id caadria2020_046
authors Alva, Pradeep, Lee, Han Jie, Lin, Zhuoli, Mehta, Palak, Chen, Jielin and Janssen, Patrick
year 2020
title Geo-computation for District Planning - An Agile Automated Modelling 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. 793-802
doi https://doi.org/10.52842/conf.caadria.2020.1.793
summary This paper focuses on developing a novel geo-computational methodology for automating the generation of design options for district planning. The knowledge contribution focuses on the ability of the planners and designers to interact with and override the automated process. This approach is referred to as "agile automated modelling". The approach is demonstrated through a case study in which three adjacent districts are generated with a total area of approximately 1300 hectares. An automated modelling process is implemented based on a set of core planning principles established by the planners. The automated process generates street networks, land parcels, and 3-dimensional urban models. The process is broken down into three steps and users are then able to intervene at the end of every step to override and modify the outputs. This aims to help planners and designers to iteratively generate and assess various planning outcomes.
keywords Geo-computation; procedural modelling; GIS; planning automation; neural network
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2007_611
id caadria2007_611
authors Arpornwicharnop, Kittisak; Pinyo Jinuntuya and Pizzanu Kanongchaiyos
year 2007
title Simulation Software Development for Urban Landscape Possibility Analysis
source CAADRIA 2007 [Proceedings of the 12th International Conference on Computer Aided Architectural Design Research in Asia] Nanjing (China) 19-21 April 2007
doi https://doi.org/10.52842/conf.caadria.2007.x.u9u
summary This research paper proposes a simulation software development for possibility analysis of urban landscape development project. Normally, analysis of land potentiality and feasibility study for investment are necessary pre-processed for supporting urban planning, developing and architectural designing. However, most available tools are usually tailor made for each process individually, causing difficulties in information interchange between each processes. In this research, we propose a policy making support system for urban planning project development providing several functions such as testing land use and its physical character which are important to urban expansion and architectural design based on impact analysis of urban comprehensive plan. The proposed integrated system consists of a topological analysis module, constraint checking module and geographical information processing module. First, Geographical information stored in 3D graphic file format is converted to object-oriented data model and stored in a database. With several constraint and regulations, the stored information is then checked in the landscape topological analysis module. In evaluation process, the developed software is tested with geographical information of Bangkok area under constraints and regulations of Building Control Act of Thailand. While controlling building properties, the software can model the buildings and generate urban physical character. The result is then checked by several urban landscape planning experts. Experimental result shows that proposed system provides flexibility in information interchanging with constraints and regulations updating without system reconfiguration. The system also provides internet accessing for public participation in the process of making urban comprehensive plan.
series CAADRIA
type normal paper
email
last changed 2022/06/07 07:50

_id caadria2020_043
id caadria2020_043
authors Bai, Nan, Nourian, Pirouz, Xie, Anping and Pereira Roders, Ana
year 2020
title Towards a Finer Heritage Management - Evaluating the Tourism Carrying Capacity using an Agent-Based Model
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. 305-314
doi https://doi.org/10.52842/conf.caadria.2020.1.305
summary As one of the most important areas in the Palace Museum, Beijing, China, the Hall of Mental Cultivation had suffered from overcrowding of visitors before it was closed in 2016 for conservation. Preparing for the reopening in 2020, the Palace Museum decided to take the chance and initiate finer-grained tourism management in the Hall. This research intends to provide an audio-guided touring program by dynamically evaluating the Tourism Carrying Capacity (TCC) with the highlight spots in the Hall, to operate the touring program spatiotemporally. Framing an optimization problem for the touring program, an agent-based simulator, Thunderhead Pathfinder, originally developed for evacuation in the emergency, is utilized to verify the performance of the touring system. The simulation shows that the proposed touring program could precisely fit all the key requirements to improve the visitors' experience, to guarantee heritage safety, and to ensure more efficient management.
keywords Tourism Carrying Capacity; Agent-Based Simulation; Operations Research; Heritage Management
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2020_233
id caadria2020_233
authors Bar-Sinai, Karen Lee, Shaked, Tom and Sprecher, Aaron
year 2020
title Sensibility at Large - A Post-Anthropocene Vision for Architectural Landscape Editing
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. 223-232
doi https://doi.org/10.52842/conf.caadria.2020.2.223
summary The irreversible imprint of humankind on Earth calls for revisiting current construction practices. This paper forwards a vision for post-Anthropocene, large-scale, architectural, and landscape construction. This vision relates to transforming natural terrains into architecture using on-site robotic tools and enabling greater sustainability through increased sensibility. Despite advancements in large-scale digital fabrication in architecture, the field still mainly focuses on the production of objects. The proposed vision aims to advance theory and practice towards territorial scale digital fabrication of environments. Three notions are proposed: material-aware construction, large-scale customization, and integrated fabrication. These aspects are demonstrated through research and teaching projects. Using scale models, they explore the deployment of robotic tools toward reforming, stabilizing, and reconstituting soil in an architectural context. Together, they propose a theoretical ground for in situ digital fabrication for a new era, relinking architecture to the terrains upon which it is formed.
keywords Digital Fabrication; territorial scale; on-site robotics; geomaterials; computational design
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2020_258
id caadria2020_258
authors Beatricia, Beatricia, Indraprastha, Aswin and Koerniawan, M. Donny
year 2020
title Revisiting Packing Algorithm - A Strategy for Optimum Net-to Gross Office Design
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. 405-414
doi https://doi.org/10.52842/conf.caadria.2020.1.405
summary Net-to-gross efficiency is defined as the ratio of net area to a gross area of a building. Net-to-gross efficiency will determine the quantity of leasable building area. On the other side, the effectiveness of the spatial distribution of a floor plan design must follow the value of net-to-gross efficiency. Therefore in the context of office design, there are two challenges need to be improved: 1) to get an optimum value of efficiency, architects need to assign the amount and size of the office units which can be effectively arranged, and 2) to fulfill high net-to-gross efficiency value that usually set out at minimal 85%. This paper aims to apply the packing algorithm as a strategy to achieve optimum net-to-gross efficiency and generating spatial configuration of office units that fit with the result. Our study experimented with series of models and simulations consisting of three stages that start from finding net-to-gross efficiency, defining office unit profiles based on preferable office space units, and applying the packing algorithm to get an optimum office net-to-gross efficiency. Computational processes using physics engine and optimization solvers have been utilized to generate design layouts that have minimal spatial residues, hence increasing the net-to-gross ratio.
keywords net-to-gross efficiency; packing algorithm; modular office area; area optimization;
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2003_c4-3
id caadria2003_c4-3
authors Belblidia, S. and Alby, E.
year 2003
title Implicit Handling of Geometric Relations in an Existing Modeler
source CAADRIA 2003 [Proceedings of the 8th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 974-9584-13-9] Bangkok Thailand 18-20 October 2003, pp. 613-622
doi https://doi.org/10.52842/conf.caadria.2003.613
summary This paper presents a constraint-based modeling system, integrated into a widely used CAD modeler. Using a notification mechanism, the system records the precision functions called by the user in order to maintain geometric relations between points locations and source objects. These relations are stored in a directed graph which allows an automatic update of the model.
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2003_a6-4
id caadria2003_a6-4
authors Bialas, Z.,Glinkowska, A., Kepczynska-Walczak, A. and Szrajber, R.
year 2003
title Architectural Heritage As A Force In Networked Caad Education
source CAADRIA 2003 [Proceedings of the 8th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 974-9584-13-9] Bangkok Thailand 18-20 October 2003, pp. 801-808
doi https://doi.org/10.52842/conf.caadria.2003.801
summary This paper aims to present a project being currently in progress. The task is to describe a concept for future access to information resources which cover the Polish (in wider international context) architectural and urban design, architectural heritage, applied arts in form of drawings, images, 3D models and VR along text explanations. In this way the database would enable access to huge resources and didactic packages. The proposed database would be primarily addressed to students of architecture, who in addition would be involved in creation of the collection, e.g. through building 3D models.
series CAADRIA
email
last changed 2022/06/07 07:52

_id caadria2020_209
id caadria2020_209
authors Bissoonauth, Chitraj, Fischer, Thomas and Herr, Christiane M.
year 2020
title An Ethnographic Enquiry into Digital Design Tool Making
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. 213-222
doi https://doi.org/10.52842/conf.caadria.2020.2.213
summary This paper presents an ethnographic pilot study into the design and application of digital design tools in a leading Shanghai-based architecture and engineering firm. From a participant observer's point of view, we employ qualitative research methods to enquire the conditions and experiences entailed in day-to-day collaborative activities in conjunction with the custom-development of digital design tools in advanced practice. The described initial ethnographic enquiry lasted for six weeks. While previous studies tended to favour post-rationalised and outcome-focused reports into toolmaking for design, we observe through participant observation that daily collaboration in practice is multi-faceted and overwhelmingly more complex. This paper further portrays and reflects on the concomitant opportunities and challenges of participant observation as a research method that can bridge academia and practice. We argue that, in order to appreciate and to inform digital design toolmaking practices, it is essential to recognise the richness of practice, in and of itself.
keywords digital design toolmaking; custom-developed tools; collaborative processes; ethnography; participant observation
series CAADRIA
email
last changed 2022/06/07 07:52

_id caadria2020_160
id caadria2020_160
authors Bruce, Caitlin, Sweet, Kevin and Ok, Jeongbin
year 2020
title Closing the Loop - Recycling Waste Plastic
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. 135-144
doi https://doi.org/10.52842/conf.caadria.2020.1.135
summary Worldwide we produce billions of tonnes of waste per year, including a million tonnes of plastic waste. Currently, there are methods for recycling plastic, but these methods can be expensive and time-consuming, resulting in most of the plastic being thrown into the landfill. Because plastic does not fully degrade, it ends up in the ocean and other waterways, poisoning the water with toxins. The purpose of this research is to provide a solution to reducing plastic waste by creating an alternative method of recycling that utilises new technologies such as additive manufacturing, to create a building material that fits into the concept of the circular economy. The findings of this research explored the recycling of plastic by collecting plastic waste such as PLA (Polylactic Acid) from old 3D printed models and other sources. The plastic was recycled into filament for additive manufacturing (AM) and used to print a building component, establishing a foundational proof of concept for the use of recycled plastic as a potential building material.
keywords Additive Manufacturing; 3D Printing; Recycling Plastic ; Recycled Filament ; Waste Plastic
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2003_b3-4
id caadria2003_b3-4
authors Bruton, Dean and Radford, Antony
year 2003
title The Grammatical Studio Disrupting Regularities in Digital Media Design Education
source CAADRIA 2003 [Proceedings of the 8th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 974-9584-13-9] Bangkok Thailand 18-20 October 2003, pp. 433-446
doi https://doi.org/10.52842/conf.caadria.2003.433
summary Grammar governs the ordered way in which words are modified and combined in human languages to convey complex concepts beyond the simplicities of individual words. By extension (but less susceptible to analysis) grammar governs the way in which visual elements are modified and combined in art and design compositions. In this paper we focus on the outcomes and effects of placing grammar and contingency in the forefront of studio teaching with digital media in architecture and art, and how experience in these two domains can inform each other.
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2020_347
id caadria2020_347
authors Budig, Michael, Heckmann, Oliver, Ng Qi Boon, Amanda, Hudert, Markus, Lork, Clement and Cheah, Lynette
year 2020
title Data-driven Embodied Carbon Evaluation of Early Building Design Iterations
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. 303-312
doi https://doi.org/10.52842/conf.caadria.2020.2.303
summary In the early design phases, Life Cycle Assessment can assist project stakeholders in making informed decisions on choosing structural systems and materials with an awareness of environmental sustainability through their embodied carbon content; yet embodied carbon is difficult to quantify without detailed design information in the early design stages. In response, this paper proposes a novel data-driven tool, prior to the definition of floor plan layouts to perform embodied carbon evaluation of existing building designs based on a Bayesian Neural Network (BNN) regression. The BNN is built from data drawn from existing floor plans of residential buildings, and predicts material volume and embodied carbon from generic design parameters typical in the early design stage. Users will be able to interact with the tool in Grasshopper or as an online resource, input generic design parameters, and obtain comparative visualizations based on the choice of a construction system and its environmental sustainability in a 'shoebox' interface - a simplified three-dimensional representation of a building's primary spatial units generated with the tool.
keywords Regression; Bayesian Neural Network; High-Rise Residential Buildings
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2003_a1-2
id caadria2003_a1-2
authors Bunyavipakul, Monchai and Charoensilp, Ekasidh
year 2003
title Designing the Virtual Design Studio System for Collaborative Work on Pda Collaborative Works Anytime, Anywhere
source CAADRIA 2003 [Proceedings of the 8th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 974-9584-13-9] Bangkok Thailand 18-20 October 2003, pp. 43-54
doi https://doi.org/10.52842/conf.caadria.2003.043
summary This research presents the collaboration in the VDS system through a microcomputer technology- a PDA (Personal Digital Assistants). Architect can collaborate anytime anyplace via VDS, a substitution to an old system that requires a specific location to work on. This research has studied and analyzed the format and the limitation of collaboration between PDA and Personal Computer, the wireless communication technology, and the Web Service technology, which enable different devices to share information through the Internet Network. The work process and the studied information have been used to develop a Web Application, a collaboration tool for a team of architect and designer. This Web Application has been tested in a renovation project, a clubhouse for a scuba diving place The objective of this research is to become a guideline of collaboration in architectural design work through Smart Object in order to serve the coming Ubiquitous era (Weiser, 1998)
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2003_a1-1
id caadria2003_a1-1
authors Burrow, A., Burry, J., More, G., Tengono, Y. and Burry, M.
year 2003
title Visual and Sonic Communication Representations to Support Design Interaction
source CAADRIA 2003 [Proceedings of the 8th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 974-9584-13-9] Bangkok Thailand 18-20 October 2003, pp. 29-42
doi https://doi.org/10.52842/conf.caadria.2003.029
summary Interaction between collaborating parties exerts strong and surprising forces on the design process and thus its outcomes. Hence, there is much to be gained by investigating the nature of these communications. By definition, an organisation establishes clear protocols to realise effective communication, and does so in response to business needs. In contrast, creative endeavours must often harness loose teams of specialised individuals, working in different contexts, disciplines, and language bases, and relying on nonformalised yet highly selective exchanges of information. It is therefore a considerable challenge to comprehend and improve these processes. One approach is to exploit the discrete information contained within digital communications to produce models of these complex conditions. This paper reports preliminary work to identify the components of an email visualisation system. The goal is to apprehend developing structures, providing the collective with the capacity for reflection.
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2020_391
id caadria2020_391
authors Caetano, Inês, Garcia, Sara, Pereira, Inês and Leitão, António
year 2020
title Creativity Inspired by Analysis - an algorithmic design system for designing structurally feasible façades
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. 599-608
doi https://doi.org/10.52842/conf.caadria.2020.1.599
summary Although structural performance has a crucial role in the overall design, its analysis is often postponed to later design stages. This largely occurs because analysis processes are time consuming and require the use of specific models and tools. This problem is then aggravated by the number of design variations that have to be analysed until an acceptable solution is found. However, the implementation of design changes at later stages is limited, as also is their impact on the solution's final performance. Fortunately, with algorithmic design, we can overcome these limitations, as it not only supports complex designs and facilitates design changes, but also automates the production of the specific models and their subsequent analysis and optimization. In this research we focus on buildings façades, proposing an algorithmic design system to support their design, structural analysis, and optimization.
keywords Performance-based Design; Algorithmic Design; Algorithmic Structural Analysis; Algorithmic Optimization; Façade Design
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2003_b5-2
id caadria2003_b5-2
authors Caldas, Luisa G.
year 2003
title Shape Generation Using Pareto Genetic Algorithms Integrating Conflicting Design Objectives in Low-Energy Architecture
source CAADRIA 2003 [Proceedings of the 8th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 974-9584-13-9] Bangkok Thailand 18-20 October 2003, pp. 681-694
doi https://doi.org/10.52842/conf.caadria.2003.681
summary The Generative Design System [GDS] presented in this paper was developed to assist designers in researching low-energy architecture solutions. The GDS has the capability to evolve architectural forms that are energy-efficient, while complying to design intentions expressed by the architect, and responding to conflicting objectives. To achieve this evolutionary development, the system integrates a search and optimization method [Genetic Algorithm], a building energy simulation software [DOE2.1E], and Pareto multicriteria optimization techniques. The GDS adaptively generates populations of alternative solutions, from an initial schematic layout and a set of rules and constraints designed by the architect to encode design intentions. The two conflicting objective functions considered in this paper are maximizing daylighting use, and minimizing energy consumption for conditioning the building. The GDS generated an uniformly sampled, continuous Pareto front, from which six points were visualized in terms of the proposed architectural solutions.
series CAADRIA
email
last changed 2022/06/07 07:54

_id caadria2020_412
id caadria2020_412
authors Capunaman, Ozguc Bertug
year 2020
title CAM as a Tool for Creative Expression - Informing Digital Fabrication through Human Interaction
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. 243-252
doi https://doi.org/10.52842/conf.caadria.2020.1.243
summary Contemporary digital design and fabrication tools often present deterministic and pre-programmed workflows. This limits the potential for developing a deeper understanding of materials within the process. This paper presents an interactive and adaptive design-fabrication workflow where the user can actively take turns in the fabrication process. The proposed experimental setup utilizes paste extrusion additive manufacturing in tandem with real-time control of an industrial robotic arm. By incorporating a computer-vision based feedback loop, it captures momentary changes in the fabricated artifact introduced by the users to inform the digital representation. Using the updated digital representation, the proposed system can offer simple design hypotheses for the user to evaluate and adapt future toolpaths accordingly. This paper presents the development of the experimental setup and delineates critical concepts and their motivation.
keywords Computer-Aided Design (CAD) and Manufacturing (CAM); Human Computer Interaction; 3D Printing; Interactive Digital Fabrication; Robotic Fabrication
series CAADRIA
email
last changed 2022/06/07 07:54

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