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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Reformat results as: short short into frame detailed detailed into frame

_id	ecaadesigradi2019_498
id	ecaadesigradi2019_498
authors	Bermek, Mehmet Sinan, Shelden, Dennis and Gentry, T. Russel
year	2019
title	A Holistic Approach to Feature-based Structural Mapping in Cross Laminated Timber Buildings
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 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 789-796
doi	https://doi.org/10.52842/conf.ecaade.2019.2.789
summary	Mass Engineered Timber products provide a unique opportunity in configuring panelized building systems that are suitable for both prefabrication and onsite customization. The structural nature of these large section elements also brings about the need for a coordinated design-fabrication-assembly workflow. These products can assume different geometric configurations and their behaviour can be approximated globally by simplifying framing schemas. Current BIM Interoperability standards such as STEP or IFC already acknowledge and support the interconnected nature of component properties, yet these Data Models are component focused. Expanding on the relationships between components and using sets to define part to whole, or exteriority relationships could yield a more flexible and agile querying of building information.This would be a framework fit for automated feature derivation and rule based design applications. To this end Graph structures and Graph Databases, alongside existing ontology authoring tools are studied to probe new cognitive possibilities in collaborative AEC workflows
keywords	Graph theory; BIM; CLT; IFC
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

_id	ecaade2023_138
id	ecaade2023_138
authors	Crolla, Kristof and Wong, Nichol
year	2023
title	Catenary Wooden Roof Structures: Precedent knowledge for future algorithmic design and construction optimisation
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 1, Graz, 20-22 September 2023, pp. 611–620
doi	https://doi.org/10.52842/conf.ecaade.2023.1.611
summary	The timber industry is expanding, including construction wood product applications such as glue-laminated wood products (R. Sikkema et al., 2023). To boost further utilisation of engineered wood products in architecture, further development and optimisation of related tectonic systems is required. Integration of digital design technologies in this endeavour presents opportunities for a more performative and spatially diverse architecture production, even in construction contexts typified by limited means and/or resources. This paper reports on historic precedent case study research that informs an ongoing larger study focussing on novel algorithmic methods for the design and production of lightweight, large-span, catenary glulam roof structures. Given their structural operation in full tension, catenary-based roof structures substantially reduce material needs when compared with those relying on straight beams (Wong and Crolla, 2019). Yet, the manufacture of their non-standard geometries typically requires costly bespoke hardware setups, having resulted in recent projects trending away from the more spatially engaging geometric experiments of the second half of the 20th century. The study hypothesis that the evolutionary design optimisation of this tectonic system has the potential to re-open and expand its practically available design solution space. This paper covers the review of a range of built projects employing catenary glulam roof system, starting from seminal historic precedents like the Festival Hall for the Swiss National Exhibition EXPO 1964 (A. Lozeron, Swiss, 1964) and the Wilkhahn Pavilions (Frei Otto, Germany, 1987), to contemporary examples, including the Grandview Heights Aquatic Centre (HCMA Architecture + Design, Canada, 2016). It analysis their structural concept, geometric and spatial complexity, fabrication and assembly protocols, applied construction detailing solutions, and more, with as aim to identify methods, tools, techniques, and construction details that can be taken forward in future research aimed at minimising construction complexity. Findings from this precedent study form the basis for the evolutionary-algorithmic design and construction method development that is part of the larger study. By expanding the tectonic system’s practically applicable architecture design solution space and facilitating architects’ access to a low-tech producible, spatially versatile, lightweight, eco-friendly, wooden roof structure typology, this study contributes to environmentally sustainable building.
keywords	Precedent Studies, Light-weight architecture, Timber shell, Catenary, Algorithmic Optimisation, Glue-laminated timber
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2024_4
id	ecaade2024_4
authors	Irodotou, Louiza; Gkatzogiannis, Stefanos; Phocas, Marios C.; Tryfonos, George; Christoforou, Eftychios G.
year	2024
title	Application of a Vertical Effective Crank–Slider Approach in Reconfigurable Buildings through Computer-Aided Algorithmic Modelling
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 421–430
doi	https://doi.org/10.52842/conf.ecaade.2024.1.421
summary	Elementary robotics mechanisms based on the effective crank–slider and four–bar kinematics methods have been applied in the past to develop architectural concepts of reconfigurable structures of planar rigid-bar linkages (Phocas et al., 2020; Phocas et al., 2019). The applications referred to planar structural systems interconnected in parallel to provide reconfigurable buildings with rectangular plan section. In enabling structural reconfigurability attributes within the spatial circular section buildings domain, a vertical setup of the basic crank–slider mechanism is proposed in the current paper. The kinematics mechanism is integrated on a column placed at the middle of an axisymmetric circular shaped spatial linkage structure. The definition of target case shapes of the structure is based on a series of numerical geometric analyses that consider certain architectural and construction criteria (i.e., number of structural members, length, system height, span, erectability etc.), as well as structural objectives (i.e., structural behavior improvement against predominant environmental actions) aiming to meet diverse operational requirements and lightweight construction. Computer-aided algorithmic modelling is used to analyze the system's kinematics, in order to provide a solid foundation and enable rapid adaptation for mechanisms that exhibit controlled reconfigurations. The analysis demonstrates the implementation of digital parametric design tools for the investigation of the kinematics of the system at a preliminary design stage, in avoiding thus time-demanding numerical analysis processes. The design process may further provide enhanced interdisciplinary performance-based design outcomes.
keywords	Reconfigurable Structures, Spatial Linkage Structures, Kinematics, Parametric Associative Design
series	eCAADe
email
last changed	2024/11/17 22:05

_id	caadria2019_665
id	caadria2019_665
authors	Jin, Jinxi, Han, Li, Chai, Hua, Zhang, Xiao and Yuan, Philip F.
year	2019
title	Digital Design and Construction of Lightweight Steel-Timber Composite Gridshell for Large-Span Roof - A Practice of Steel-timber Composite Gridshell in Venue B for 2018 West Bund World AI Conference
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 183-192
doi	https://doi.org/10.52842/conf.caadria.2019.1.183
summary	Timber gridshell is an efficient structural system. However, the feature of double curved surface result in limitation of practical application of timber gridshell. Digital technology provides an opportunity to break this limitation and achieve a lightweight free-form gridshell. In the practice of Venue B for 2018 West Bund World AI Conference, architects and structural engineers cooperated to explore innovative design of lightweight steel-timber composite gridshell with the help of digital tools. Setting digital technology as support and restrains of the project as motivation, the design tried to achieve the realization of material, structure, construction and spatial expression. The digital design and construction process will be discussed from four aspects, including form-finding of gridshell surface, steel-timber composite design, digital detailed design and model-based fabrication and construction. We focuses on the use of digital tools in this process, as well as the role of the design subject.
keywords	Timber Gridshell; Steel-timber Composite; Digital Design and Construction; Lightweight Structure; Large-span Roof
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2019_127
id	caadria2019_127
authors	Nam, Hyunjae
year	2019
title	Programming Intelligent Architecture to be Responsive to Real-Time Data
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. 273-282
doi	https://doi.org/10.52842/conf.caadria.2019.2.273
summary	This study examines the development of intelligent architecture capable of reading real-time data and controlling spatial configurations accordingly. In terms of responsiveness at an architectural scale, it is questionable whether an architectural system can adapt or adjust its spatial configurations to the time-based changes of social activities. The urban open data movement allows individuals to navigate or measure real-time occurrences in cities, and such data can be used to accommodate users' demands for social space. Exploiting urban open data, the design experiment focused on extracting data pertaining to real occurrences of social activities and weather conditions in a city, setting an algorithm mapping the sequence from the data to architectural behaviours, and simulating the architectural model in real time. By means of proposing a design strategy, this research contributes to cross-disciplinary approaches to developing smart buildings and cities.
keywords	real-time data; urban open data; weather API; architectural responsiveness
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2019_551
id	caadria2019_551
authors	Zheliazkova, Maia, Kummamuru, Bhargava Ram and Paoletti, Ingrid
year	2019
title	A Computational Workflow for Understanding Acoustic Performance in Existing Buildings
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 443-452
doi	https://doi.org/10.52842/conf.caadria.2019.1.443
summary	Designing the acoustic conditions of the built environment we live in is fundamental to improving our daily life. However, architects and designers still know very little about the way buildings perform in terms of sound. In order to facilitate the comprehension, and therefore the design of acoustic solutions, it is here proposed a methodology for the investigation of existing architectural spaces. The paper discusses a low-cost setup and computational methodology to create an advanced mapping of spaces with the goal of supporting custom design solutions. A case study is used to apply and compare the sensitivity of the proposed approach with professional equipment. The results show that portable systems can be a viable way to understand how our spaces perform in terms of sound, and encourage the diffusion of performance-driven acoustics design.
keywords	Performance-based design; User-space interaction; Architectural acoustics; Sound measurements and sensing
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ecaade2024_222
id	ecaade2024_222
authors	Bindreiter, Stefan; Sisman, Yosun; Forster, Julia
year	2024
title	Visualise Energy Saving Potentials in Settlement Development: By linking transport and energy simulation models for municipal planning
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 79–88
doi	https://doi.org/10.52842/conf.ecaade.2024.2.079
summary	To achieve Sustainable Development Goals, in addition to the switch to sustainable energy sources and energy-efficient buildings, transport offers a major lever for reducing energy consumption and greenhouse gases. The increasing demand for emission-free mobility (e.g. through electromobility) but also heat pumps has a direct impact on the electricity consumption of buildings and settlements. It is still difficult to simulate the effects and interactions of different measures as sector coupling concepts require comprehensible tools for ex ante evaluation of planning measures at the community level and the linking of domain-specific models (energy, transport). Using the municipality of Bruck an der Leitha (Austria) as an example, a digital twin based on an open data model (Bednar et al., 2020) is created for the development of methods, which can be used to simulate measures to improve the settlement structure within the municipality. Forecast models for mobility (Schmaus, 2019; Ritz, 2019) and the building stock are developed or applied and linked via the open data model to be able to run through development scenarios and variants. The forecasting and visualisation options created in the project form the basis for the ex-ante evaluation of measures and policies on the way to a Positive-Energy-District. By identifying and collecting missing data, data gaps are filled for the simulation of precise models in the specific study area. A digital, interactive 3D model is created to examine the forecast results and the different scenarios.
keywords	visualisation, decision support, sector coupling, holistic spatial energy models for municipal planning, (energy) saving potentials in settlement development
series	eCAADe
email
last changed	2024/11/17 22:05

_id	ecaadesigradi2019_648
id	ecaadesigradi2019_648
authors	Eisenstadt, Viktor, Langenhan, Christoph and Althoff, Klaus-Dieter
year	2019
title	Generation of Floor Plan Variations with Convolutional Neural Networks and Case-based Reasoning - An approach for transformative adaptation of room configurations within a framework for support of early conceptual design phases
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 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 79-84
doi	https://doi.org/10.52842/conf.ecaade.2019.2.079
summary	We present an approach for computer-aided generation of different variations of floor plans during the early phases of conceptual design in architecture. The early design phases are mostly characterized by the processes of inspiration gaining and search for contextual help in order to improve the building design at hand. The generation method described in this work uses the novel as well as established artificial intelligence methods, namely, generative adversarial nets and case-based reasoning, for creation of possible evolutions of the current design based on the most similar previous designs. The main goal of this approach is to provide the designer with information on how the current floor plan can evolve over time in order to influence the direction of the design process. The work described in this paper is part of the methodology FLEA (Find, Learn, Explain, Adapt) whose task is to provide a holistic structure for support of the early conceptual phases in architecture. The approach is implemented as the adaptation component of the framework MetisCBR that is based on FLEA.
keywords	room configuration; adaptation; case-based reasoning; convolutional neural networks; conceptual design
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	caadria2019_378
id	caadria2019_378
authors	Finch, Gerard, Marriage, Guy, Pelosi, Antony and Gjerde, Morten
year	2019
title	Experiments in Timber Space Frame Design - Fabrication, Construction and Structural Performance
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 153-162
doi	https://doi.org/10.52842/conf.caadria.2019.1.153
summary	Digital fabrication makes it possible to create precise and replicable components from engineered timber products. Coupled with strategic design, these tools can be leveraged to produce intelligent and informed jointing conditions that facilitate material arrangements of unprecedented efficiency and strength. This project builds on an existing body of knowledge in the field of digital wood design and fabrication to examine the design, fabrication and structural capabilities of massively modulated plywood space frames. The practice based research finds that while the geometry of a timber space frame is of excellent strength the detailing of joints and overall structural rigidity is a key concern.
keywords	CAD / CAM; Digital Wood Design
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ecaadesigradi2019_153
id	ecaadesigradi2019_153
authors	Gomez-Zamora, Paula, Bafna, Sonit, Zimring, Craig, Do, Ellen and Romero Vega, Mario
year	2019
title	Spatiotemporal Occupancy for Building Analytics
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 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 111-120
doi	https://doi.org/10.52842/conf.ecaade.2019.2.111
summary	Numerous studies on Space Syntax and Evidence-based Design explored occupancy and movements in the built environment using traditional methods for behavior mapping, such as observation and surveys. This approach, however, has majorly focused on studying such behaviors as aggregated results -totals or averages- to corroborate the idea that people's interactions are outcomes of the influence of space. The research presented in this paper focuses on capturing human occupancy with a high spatiotemporal data resolution of 1 sq.ft per second (0.1 sq.mt./s). This research adapts computer vision to obtain large occupancy datasets in a hospitalization setting for one week, providing opportunities to explore correlations among spatial configurations, architectural programs, organizational activities planned and unplanned, and time. The vision is to develop new analytics for building occupancy dynamics, with the purpose of endorsing the integration of a temporal dimension into architectural research. This study introduces the "Isovist-minute"; a metric that captures the relationship between space and occupancy, towards a point of interest, in a dynamic sequence.
keywords	Spatiotemporal Occupancy; Occupancy Analytics; Occupancy Patterns; Building-Organizational Performance; Healthcare Settings
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

_id	acadia19_16
id	acadia19_16
authors	Hosmer, Tyson; Tigas, Panagiotis
year	2019
title	Deep Reinforcement Learning for Autonomous Robotic Tensegrity (ART)
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 16-29
doi	https://doi.org/10.52842/conf.acadia.2019.016
summary	The research presented in this paper is part of a larger body of emerging research into embedding autonomy in the built environment. We develop a framework for designing and implementing effective autonomous architecture defined by three key properties: situated and embodied agency, facilitated variation, and intelligence.We present a novel application of Deep Reinforcement Learning to learn adaptable behaviours related to autonomous mobility, self-structuring, self-balancing, and spatial reconfiguration. Architectural robotic prototypes are physically developed with principles of embodied agency and facilitated variation. Physical properties and degrees of freedom are applied as constraints in a simulated physics-based environment where our simulation models are trained to achieve multiple objectives in changing environments. This holistic and generalizable approach to aligning deep reinforcement learning with physically reconfigurable robotic assembly systems takes into account both computational design and physical fabrication. Autonomous Robotic Tensegrity (ART) is presented as an extended case study project for developing our methodology. Our computational design system is developed in Unity3D with simulated multi-physics and deep reinforcement learning using Unity’s ML-agents framework. Topological rules of tensegrity are applied to develop assemblies with actuated tensile members. Single units and assemblies are trained for a series of policies using reinforcement learning in single-agent and multi-agent setups. Physical robotic prototypes are built and actuated to test simulated results.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:50

_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	ijac201917401
id	ijac201917401
authors	Kabošová, Lenka; Isak Foged, Stanislav Kmet’ and Dušan Katunský
year	2019
title	Hybrid design method for wind-adaptive architecture
source	International Journal of Architectural Computing vol. 17 - no. 4, 307-322
summary	The linkage of individual design skills and computer-based capabilities in the design process offers yet unexplored environment-adaptive architectural solutions. The conventional perception of architecture is changing, creating a space for reconfigurable, “living” buildings responding, for instance, to climatic influences. Integrating the element of wind to the architectural morphogenesis process can lead toward wind-adaptive designs that in turn can enhance the wind microclimate in their vicinity. Geometric relations coupled with material properties enable to create a tensegrity- membrane structural element, bending in the wind. First, the properties of such elements are investigated by a hybrid method, that is, computer simulations are coupled with physical prototyping. Second, the system is applied to basic- geometry building envelopes and investigated using computational fluid dynamics simulations. Third, the findings are transmitted to a case study design of a streamlined building envelope. The results suggest that a wind-adaptive building envelope plays a great role in reducing the surface wind suction and enhancing the wind microclimate.
keywords	Wind, computational fluid dynamics, tensegrity structure, responsive envelope, computational design
series	journal
email
last changed	2020/11/02 13:34

_id	acadia20_142p
id	acadia20_142p
authors	Kilian, Axel
year	2020
title	The Flexing Room
source	ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 142-147
summary	Robotics has been largely confined to the object category with fewer examples at the scale of buildings. Robotic buildings present unique challenges in communicating intent to the enclosed user. Precedent work in architectural robotics explored the performative dimension, the playful and interactive qualities, and the cognitive challenges of AI systems interacting with people in architecture. The Flexing Room robotic skeleton was installed at MIT at its full designed height for the first time and tested for two weeks in the summer of 2019. The approximately 13-foot-tall structure is comprised of 36 pneumatic actuators and an active bend fiberglass structure. The full height allowed for a wide range of postures the structure could take. Acoustic monitoring through Piezo pickup mics was added that allowed for basic rhythmic responses of the structure to people tapping or otherwise triggering the vibration sensors. Data streams were collected synchronously from Kinect skeleton tracking, piezo pickup mics, camera streams, and posture data. The emphasis in this test period was first to establish reliable hardware operations at full scale and second to record correlated data streams of the sensors installed in the structure together with the actuation triggers and the human poses of the inhabitant. The full-scale installation of hardware was successful and proved the feasibility of the structural and actuation approach previously tested on a one-level setup. The range of postures was increased and more transparent for the occupant. The perception of the structure as space was also improved as the system reached regular ceiling height and formed a clearer architectural scale enclosure. The ambition of communicating through architectural postures has not been achieved yet, but promising directions emerged from the test and data collection
series	ACADIA
type	project
email
last changed	2021/10/26 08:03

_id	caadria2019_109
id	caadria2019_109
authors	Kim, Jinsung, Song, Jaeyeol and Lee, Jin-Kook
year	2019
title	Approach to Auto-recognition of Design Elements for the Intelligent Management of Interior Pictures
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. 785-794
doi	https://doi.org/10.52842/conf.caadria.2019.2.785
summary	This paper explores automated recognition of elements in interior design pictures for an intelligent design reference management system. Precedent design references have a significant role to help architects, designer and even clients in general architecture design process. Pictures are one of the representation that could exactly show a kind of design idea and knowledge. Due to the velocity, variety and volume of reference pictures data with growth of references platform, it is hard and time-consuming to handle the data with current manual way. To solve this problem , this paper depicts a deep learning-based approach to figuring out design elements and recognizing the design feature of them on the interior pictures using faster-RCNN and CNN algorithms. The targets are the residential furniture such as a table and a seating. Through proposed application, input pictures can automatically have tagging data as follows; seating1(type: sofa, seating capacity: two-seaters, design style: classic)
keywords	Interior design picture; Design element; Design feature; Automated recognition; Design Reference management
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2019_437
id	caadria2019_437
authors	Liao, Pan, Gu, Ning, Brisbin, Chris, Rofe, Matthew and Soltani, Sahar
year	2019
title	Computationally Mapping Spatial Properties of Chinese Historic Towns using Space Syntax
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 361-370
doi	https://doi.org/10.52842/conf.caadria.2019.1.361
summary	Due to its geographic size and long cultural history of fluctuating borders, China has a large number of historic settlements; each with their own unique geometric, cultural, social, and spatial characteristics. Despite the various studies that have attempted to qualitatively describe the spatial properties of historic towns, there are limited attempts to understand the spatial qualities of these towns through a quantitative approach, such as space syntax. This paper proposes and demonstrates a computational approach based on space syntax to map spatial properties of these towns. Four spatial features are examined and evaluated to capture the spatial patterns of Chinese historic towns: (1) axiality, (2) curvature, (3) intelligibility, and (4) synergy. The approach has been applied to four typical towns in China: Pingyao, Lijiang, Kulangsu, and Wuzhen. This computational approach provides a new way to complement existing qualitative measures of understanding the urban form and use of historic towns, providing a powerful tool to support the development of policy affecting historic town design/planning, heritage conservation, and heritage tourism.
keywords	Chinese historic towns; spatial properties; space syntax
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	cf2019_025
id	cf2019_025
authors	Lin, Yuqiong; Chenyu Huang ,Yuqiong Lin and Philip F. Yuan
year	2019
title	High-rise Building Group Morphology Generation Approach based on Wind Environmental Performance
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 185
summary	In the urbanization process, high-rise is favored and popularized? while results to the high-density urban space which aggravated the deterioration of urban wind environment. Using quantifiable environmental factors to control the building, is promoting a more meaningful group formation of the sustainable high-rise buildings. Thus, taking wind performance into account in high-rise design infancy is essential. According to the achievement of CAADRIA2018 “SELF-FORM-FINDING WIND TUNNEL TO ENVIRONMENTAL-PERFORMANCE URBAN AND BUILDING DESIGN” workshop, a preliminary set related to the environmental performance urban morphology generation system and method was constructed. In this study, various of high-rise building forms that might be conducive to urban ventilation were selected, such as “hollow-out”, “twisting”, “façade retracting” and “liftup”, to design the Dynamic Model System with multi-dimensional motion.
keywords	High-rise, group morphology, wind tunnel, dynamic models, environmental performance
series	CAAD Futures
email
last changed	2019/07/29 14:15

_id	cf2019_059
id	cf2019_059
authors	Ma, Lisha ; Xiaofang Yuan, Yu Wu and Wuzhen Zhu
year	2019
title	A National Pattern Generation Method Based on Cultural Design Genetic Derivation
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 500
summary	It is a great challenge to digitally generate emotionally satisfying patterns with national style characteristics to meet diversified consumer demands for national patterns. As the core of national culture’s gestation, growth and development, cultural genes can realize cultural inheritance and maintain national identity . From the view of design, the basic feature elements of cultural genes are extracted by original national pattern deconstruction and semantically summarized to form specific cultural design genes suitable for the rapid design of national pattern. Further, the topology principle and ComputerAided design is introduced to simultaneously generate pattern shapes using Self-Crossing and Cross-Crossing transformation by shape grammar. Then, the pattern elements are arranged according to the initial ethnic pattern composition rules to generate new series of ethnic patterns. Finally, Chinese Tibetan pattern is patterned as an example to demonstrate that this research can creates patterns faster and in line with the user's intent.
keywords	National pattern, Cultural design gene, Pattern deconstruction, Shape grammar, Computer-Aided design
series	CAAD Futures
email
last changed	2019/07/29 14:18

_id	ecaadesigradi2019_177
id	ecaadesigradi2019_177
authors	Ostrowska-Wawryniuk, Karolina
year	2019
title	BIM-Aided Prefabrication for Minimum Waste DIY Timber Houses
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 251-258
doi	https://doi.org/10.52842/conf.ecaade.2019.1.251
summary	The continuous housing shortage demands efficient ways of design and construction. In the context of rising construction standards and shrinking manpower, one of the possible answers to the problem is prefabrication oriented towards do-it-yourself (DIY) construction methods, which could contribute to the low and middle income housing supply in the market. The article covers the process of developing an experimental tool for aiding single-family housing design with the use of small-element solid timber prefabrication, suitable for DIY assembly. The presented tool uses the potential of BIM technology adapting a traditionally-designed house to the needs of prefabrication and optimizing it in terms of waste generated in the assembly process. The presented experiment was realized in the Autodesk Revit environment and incorporates custom generative scripts developed in Dynamo-for-Revit. The prototype analyzed an input model and converted it into a prefabricated alternative based on the user- and technology-specified boundary conditions. The prototype was tested on the example design of a two-story single-family house. The results compare the automated optimized model conversion with manual adaptation approach. The implemented algorithm allowed for reducing the construction waste by more than 50%.
keywords	do-it-yourself construction; do-it-yourself house; generative BIM; BIM-aided prefabrication; small-panel timber prefabrication; self-help housing
series	eCAADeSIGraDi
email
last changed	2022/06/07 08:00

_id	ecaadesigradi2019_568
id	ecaadesigradi2019_568
authors	Rubinowicz, Pawe³
year	2019
title	Protection of the waterfront panoramas based on computational 3D-analysis
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 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 325-332
doi	https://doi.org/10.52842/conf.ecaade.2019.2.325
summary	The article presents the application of the Visual Protection Surface (VPS) method in protecting waterfront panoramas. The digital analysis of visual impact, which is most frequently used in urban planning, assesses the impact of new investment on the cityscape. The study presented in the article is based on a reverse approach -determining the maximum height of buildings so new facilities do not distort protected vistas in a city, vistas which are crucial for the preservation of the city's cultural identity and spatial identification. The assessment of the application is based on a case study of Gdañsk, Poland, where a 3D LiDAR model was used. The study involved the use of software developed by the author (C++). It also analyzed VPS input parameters. Conclusions can be used to assess and verify analysis findings with different software (GIS/CAD). The article shows the potential application of the VPS method in urban planning.
keywords	computational urban analyses; urban landscape protection; strategic views; tall buildings; 3D city models; VPS method
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

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