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_657
id	caadria2019_657
authors	Chen, Zhewen, Zhang, Liming and Yuan, Philip F.
year	2019
title	Innovative Design Approach to Optimized Performance on Large-Scale Robotic 3D-Printed Spatial Structure
doi	https://doi.org/10.52842/conf.caadria.2019.2.451
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. 451-460
summary	This paper presents an innovative approach on designing large-scale spatial structure with automated robotic 3D-printing. The incipient design approach mainly focused on optimizing structural efficiency at an early design stage by transform the object into a discrete system, and the elements in this system contains unique structural parameters that corresponding to its topology results of stiffness distribution. Back in 2017, the design team already implemented this concept into an experimental project of Cloud Pavilion in Shanghai, China, and the 3D-printed spatial structure was partitioned into five zones represent different level of structure stiffness and filled with five kinds of unit toolpath accordingly. Through further research, an upgrade version, the project of Cloud Pavilion 2.0 is underway and will be completed in January 2019. A detailed description on innovative printing toolpath design in this project is conducted in this paper and explains how the toolpath shape effects its overall structural stiffness. This paper contributes knowledge on integrated design in the field of robotic 3D-printing and provides an alternative approach on robotic toolpath design combines with the optimized topological results.
keywords	3D-Printing; Robotic Fabrication; Structural Optimization; Discrete System; Toolpath Design
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2017_070
id	caadria2017_070
authors	Chen, Nai Chun, Xie, Jenny, Tinn, Phil, Alonso, Luis, Nagakura, Takehiko and Larson, Kent
year	2017
title	Data Mining Tourism Patterns - Call Detail Records as Complementary Tools for Urban Decision Making
doi	https://doi.org/10.52842/conf.caadria.2017.685
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 685-694
summary	In this study we show how Call Detail Record (CDR) can be used to better understand the travel patterns of visitors. We show how Origin-Destination (OD) Interactive Maps can provide transportation information through CDR. We then use aggregation of CDR to show the differences between the travel patterns of visitors from different countries and of different lengths of stay. We also show that visitors move differently during event periods and non-event periods, reflecting the importance of real-time data available by CDR. From CDR, we can gain more detailed and complete information about how tourists move compared to traditional surveys, which can be used to aid smarter transportation systems and urban resource planning.
keywords	Machine Learning; Call Detail Record; Original-Destination Matrix; Urban Design Tool
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2017_122
id	caadria2017_122
authors	Chen, Zi-Ru and Liang, Kai-Hsiang
year	2017
title	Application of Digital Fabrication Techniques to Reconstruct Ancient Machinery - A Case-study of Su Song's Water-powered Astronomical Clock Tower
doi	https://doi.org/10.52842/conf.caadria.2017.777
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 777-786
summary	The restoration of ancient machinery involves a number of aspects, including manufacturing procedure, materials, and scales. Portions that cannot be confirmed should be regarded as variable parameters of the reconstructed design, and therefore, there is no single result. The goal of reconstruction is to establish a prototype of ancient machinery with its mechanical engineering techniques and crafts. The problem of this study is how digital fabrication tools used in architectural design can be applied to the reconstruction of ancient machinery with the water-powered armillary and celestial tower as an example. The objective was to synthesize results that comply with historical records in a systematic, modularized, and parameterized manner and consider the feasibility of using modern digital fabrication and materials. With the procedure, we can reduce the difficulty of ancient machinery reconstruction and provide a reference for the reconstruction designs of ancient mechanical technology and crafts, and mass production made of different materials and scales in the future.
keywords	Digital fabrication; Ancient mechanisms recovery; Innovative design
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2017_069
id	caadria2017_069
authors	Dritsas, Stylianos, Chen, Lujie and Sass, Lawrence
year	2017
title	Small 3D Printers / Large Scale Artifacts - Computation for Automated Spatial Lattice Design-to-Fabrication with Low Cost Linear Elements and 3D Printed Nodes
doi	https://doi.org/10.52842/conf.caadria.2017.821
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 821-830
summary	The presented process enables users to design, fabricate and assemble spatial lattices comprised of linear stock materials such as round section timber, aluminum or acrylic dowels and complex 3D printed joints. The motivation for the development of this application is informed by the incredible availability of low cost 3D printers which enable anyone to produce small scale artifacts; deploying rapid prototyping to achieve larger scale artifacts than the machine's effective work envelope is a challenge for additive manufacturing; and the trend in the design computing world away highly technical specialized software towards general public applications.
keywords	Design Computation; Digital Fabrication; 3D Printing; Spatial Lattices; Design to Production
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2017_001
id	caadria2017_001
authors	He, Yi, Schnabel, Marc Aurel, Chen, Rong and Wang, Ning
year	2017
title	A Parametric Analysis Process for Daylight Illuminance - The Influence of Perforated Facade Panels on the Indoor Illuminance
doi	https://doi.org/10.52842/conf.caadria.2017.417
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 417-424
summary	BIM modelling systems and graph-based modelling systems have been widely used in the architecture design process recently. Based on the systems, an alternative approach to study the influence of perforated façade panels on the indoor illuminance by using a parametric performance analysis in a practical architectural project is proposed. The workflow we developed makes the modelling process faster, more accurate, and easier to modify. From the circulation of modelling-to-analysis process, the performance can be compared, feedback can be generated. Accordingly, optimized design can be concluded. This study suggests an analysis method to evaluate the indoor illuminance performance in the early design stages. The simulation is not a conventional typical in-depth one, but a practical method to immediately evaluate the performance for each design alternative and provide guidelines for design modification. Moreover, the first generation of digital modeling programs allow designers to conceive new forms, and allow these forms to be controled and realized. It reacts to the conference theme by presenting a protocol for a digital workflow in the early stage of the design development.
keywords	Daylight illuminance; BIM; parametric sustainability; parametric modelling; facade panels
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	caadria2017_107
id	caadria2017_107
authors	Hu, Haojie, Luo, Zixuan, Chen, Yingnan, Bian, Qiuyi and Tong, Ziyu
year	2017
title	Integration of Space Syntax into Agent-Based Pedestrian Simulation in Urban Open Space
doi	https://doi.org/10.52842/conf.caadria.2017.325
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 325-334
summary	MAS can be utilized to analyse macro rules of whole system by simulating a number of active agents. However, simply based on the parameter of specific environment quality and incomplete statistical setting of individual, models of pedestrian traffic in realistic open space have often been imperfect, because the behaviour of people cannot be rationally reflected to the complex characteristic of space. Space Syntax Theory breaks down the space into components and measures each with the straight sight-line of individuals, which can help analyse and quantify pedestrian flow in complicated real-life environment. In this situation, we make an attempt to combine these two in our research, in order to simulate the moving of pedestrian closer to reality. In this paper, Gulou Square, an urban open space close to centre of the city with a large flow of people, is selected as the study site. The results after plenty of simulations and contrast tests can be concluded that with the assistance of Space Syntax Theory, MAS can be more functional solving the problems in sophisticated real-life environment.
keywords	Multi-agent system; Space Syntax; Open space; Visibility
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2017_005
id	caadria2017_005
authors	Xia, Tian, Koh, Jing Lin, Chen, Yutong, Goh, Yi Qian and Dritsas, Stylianos
year	2017
title	Form-finding with Robotics - Fusing Physical Simulation and Digital Fabrication
doi	https://doi.org/10.52842/conf.caadria.2017.893
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 893-902
summary	We present an experimental digital design and fabrication process investigating the integration of form-finding and industrial robotics. The design process is inspired by classical experiments producing minimal surfaces and tensile structures via physical simulation. The fabrication process resembles thermoforming whereby sheets of PET material are heat treated and while in a malleable state, where the material behaves like stretchable fabric, an industrial articulated robotic arm impresses a form while the sheet is air cooled and its final shape becomes stable and rigid. The three-dimensional plastic sheets are used as molds for glass-reinforced concrete casting. The key aspects of our approach include: (a) Mold-less fabrication: the design of our robotic end-effector can produce a range of free-form geometries without need for complex mold making (b) Reusable and durable artifacts: unlike traditional physical form-finding processes where the derived form is often ephemeral or fragile our process affords the detachment of a rigid artifacts which can be digitized, used as-is or employed in (c) Multi-stage fabrication: as the form-found geometry can be directly used for processes such as casting with excellent results in terms of surface finish. We present the design and development of our system and its deployment for an installation artwork.
keywords	Form-Finding; Digital Fabrication; Architectural Robotics
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	cf2017_115
id	cf2017_115
authors	Alambeigi, Pantea; Chen, Canhui; Burry, Jane; Cheng, Eva
year	2017
title	Shape the Design with Sound Performance Prediction: A Case Study for Exploring the Impact of Early Sound Performance Prediction on Architectural Design
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 115-127.
summary	Acoustics is typically considered only late in developed design or even post occupancy, if at all, for specification of finishes and furnishing, and typically with a remedial mindset. In this paper, the role of sound performance as a design driver in increasing the speech privacy of a semi-enclosed meeting space in an open plan interior is studied. Sound performance prediction is applied as an imperative input to inform the meeting space design. The design is the second iteration in an evolving series of meeting spaces, and therefore has benefited from both subjective experiments and objective measurements performed with the first meeting space prototype. This study promotes a design method that offers a strong relationship between the digital simulation of sound performance and design development. By improving the speech privacy of a meeting space by means of purely form, geometry and design decisions, the significance of architecture in tuning the sound performance of a space is investigated.
keywords	Sound Performance Prediction, Sound Simulation, Meeting Space, Architectural Design
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	cf2017_051
id	cf2017_051
authors	Chen, Kian Wee; Janssen, Patrick; Norford, Leslie
year	2017
title	Automatic Parameterisation of Semantic 3D City Models for Urban Design Optimisation
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 51-65.
summary	We present an auto-parameterisation tool, implemented in Python, that takes in a semantic model, in CityGML format, and outputs a parametric model. The parametric model is then used for design optimisation of solar availability and urban ventilation potential. We demonstrate the tool by parameterising a CityGML model regarding building height, orientation and position and then integrate the parametric model into an optimisation process. For example, the tool parameterises the orientation of a design by assigning each building an orientation parameter. The parameter takes in a normalised value from an optimisation algorithm, maps the normalised value to a rotation value and rotates the buildings. The solar and ventilation performances of the rotated design is then evaluated. Based on the evaluation results, the optimisation algorithm then searches through the parameter values to achieve the optimal performances. The demonstrations show that the tool eliminates the need to set up a parametric model manually, thus making optimisation more accessible to designers.
keywords	City Information Modelling, Conceptual Urban Design, Parametric Modelling, Performance-Based Urban Design
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	cf2017_084
id	cf2017_084
authors	Chen, Kian Wee; Janssen, Patrick; Norford, Leslie
year	2017
title	Automatic Generation of Semantic 3D City Models from Conceptual Massing Models
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 84-100.
summary	We present a workflow to automatically generate semantic 3D city models from conceptual massing models. In the workflow, the massing design is exported as a Collada file. The auto-conversion method, implemented as a Python library, identifies city objects by analysing the relationships between the geometries in the Collada file. For example, if the analysis shows that a closed poly surface satisfies certain geometrical relationships, it is automatically converted to a building. The advantage of this workflow is that no extra modelling effort is required, provided the designers are consistent in the geometrical relationships while modelling their massing design. We will demonstrate the feasibility of the workflow using three examples of increasing complexity. With the success of the demonstrations, we envision the utoconversion of massing models into semantic models will facilitate the sharing of city models between domain-specific experts and enhance communications in the urban design process.
keywords	Interoperability, GIS, City Information Modelling, Conceptual Urban Design, Collaborative Urban Design Process
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	cf2017_101
id	cf2017_101
authors	Chen, Nai Chun; Zhang, Yan; Stephens, Marrisa; Nagakura, Takehiko; Larson, Kent
year	2017
title	Urban Data Mining with Natural Language Processing: Social Media as Complementary Tool for Urban Decision Making
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 101-109.
summary	The presence of web2.0 and traceable mobile devices creates new opportunities for urban designers to understand cities through an analysis of user-generated data. The emergence of “big data” has resulted in a large amount of information documenting daily events, perceptions, thoughts, and emotions of citizens, all annotated with the location and time that they were recorded. This data presents an unprecedented opportunity to gauge public opinion about the topic of interest. Natural language processing with social media is a novel tool complementary to traditional survey methods. In this paper, we validate these methods using tourism data from Trip-Advisor in Andorra. “Natural language processing” (NLP) detects patterns within written languages, enabling researchers to infer sentiment by parsing sentences from social media. We applied sentiment analysis to reviews of tourist attractions and restaurants. We found that there were distinct geographic regions in Andorra where amenities were reviewed as either uniformly positive or negative. For example, correlating negative reviews of parking availability with land use data revealed a shortage of parking associated with a known traffic congestion issue, validating our methods. We believe that the application of NLP to social media data can be a complementary tool for urban decision making.
keywords	Short Paper, Urban Design Decision Making, Social Media, Natural Language Processing
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	cf2017_297
id	cf2017_297
authors	He, Yi; Schnabel, Marc Aurel; Chen, Rong; Wang, Ning
year	2017
title	A Comprehensive Application of BIM Modelling for Semi-underground Public Architecture: A Study for Tiantian Square Complex, Wuhan, China
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 297-308.
summary	The paper presents research on how Building Information Modelling (BIM) can be applied comprehensively throughout the design of an architectural project. A practical method based on BIM models that help to deal with multidisciplinary issues by integrating the design information from different sources, collaborators and project stages is formulated by adopting existing available tools. The ‘Tiantian Square’ building project in Wuhan, China combines a subway station with a commercial hug. According to the project’s size and complexity, our study focuses on the multiple cooperation of professionals from different backgrounds, including the departments of architectural design, structure (civil engineering), HVAC (Heating, Ventilation and Air Conditioning), water supply and drainage, and electrics and sustainable design. Our paper presents how the BIM model bridges between various simulation platforms through our technical system and management, including steps of transformation, simplification, analysis, reaction and improvement. Our research has helped to improve the overall efficiency and quality of the project. We generated a successful analysis-design approach for the initial design stages, which does not require in-depth analysis. It is a practical method to immediately evaluate the performance for each design alternative and provide guidelines for design modification. Finally, we discuss how the coordination of different department becomes a crucial factor as we look forward to a more open, communicative and inter-relational design and development process.
keywords	BIM, Subway Complex, Simulation, Semi-Underground Architecture
series	CAAD Futures
email
last changed	2017/12/01 14:38

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