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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Hits 1 to 20 of 624

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

_id	ecaade2021_203
id	ecaade2021_203
authors	Arora, Hardik, Bielski, Jessica, Eisenstadt, Viktor, Langenhan, Christoph, Ziegler, Christoph, Althoff, Klaus-Dieter and Dengel, Andreas
year	2021
title	Consistency Checker - An automatic constraint-based evaluator for housing spatial configurations
doi	https://doi.org/10.52842/conf.ecaade.2021.2.351
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 351-358
summary	The gradual rise of artificial intelligence (AI) and its increasing visibility among many research disciplines affected Computer-Aided Architectural Design (CAAD). Architectural deep learning (DL) approaches are being developed and published on a regular basis, such as retrieval (Sharma et al. 2017) or design style manipulation (Newton 2019; Silvestre et al. 2016). However, there seems to be no method to evaluate highly constrained spatial configurations for specific architectural domains (such as housing or office buildings) based on basic architectural principles and everyday practices. This paper introduces an automatic constraint-based consistency checker to evaluate the coherency of semantic spatial configurations of housing construction using a small set of design principles to evaluate our DL approaches. The consistency checker informs about the overall performance of a spatial configuration followed by whether it is open/closed and the constraints it didn't satisfy. This paper deals with the relation of spaces processed as mathematically formalized graphs contrary to existing model checking software like Solibri.
keywords	model checking, building information modeling, deep learning, data quality
series	eCAADe
email
last changed	2022/06/07 07:54

_id	caadria2016_703
id	caadria2016_703
authors	Ding, Yakui; Tomohiro Fukuda, Nobuyoshi Yabuki, Takashi Michikawa and Ali Motamedi
year	2016
title	Automatic Measurement System of Visible Greenery Ratio Using Augmented Reality
doi	https://doi.org/10.52842/conf.caadria.2016.703
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 703-712
summary	Greening has been promoted to improve the living condi- tions in urban environments. Quantification of greenery is an im- portant issue to identify the criteria for stakeholders in the process of greening. This research focuses on the quantification of visible green- ery ratio which is defined as the amount of greenery in the field of vi- sion. Some measurement methods of visible greenery ratio have been already proposed. However, the quantification process is usually time consuming and prone to human errors due to manual operations by us- ing an image processing software. Therefore, in this research, the au- thors developed an automated measurement system based on image processing technology for the efficient visible greenery ratio meas- urement. In the verification experiment, the proposed method achieved similar results for extracted pixels of green areas as the tradi- tional manual method, with decreased calculation time. Furthermore, in addition to measuring the current ratio of greenery, this system can visualize possible future changes in visible greenery by adding plant- ing (landscape) design models in an Augmented Reality (AR) envi- ronment. Using the proposed method, an ideal greening environment can be designed and evaluated by end-users, more intuitively. The de- veloped design system is expected to eventually result in increasing the amount of greenery in the urban environment.
keywords	Visible greenery ratio; image processing; automatic measurement tool; augmented reality
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ecaade2016_238
id	ecaade2016_238
authors	Meagher, Mark and Langley, Phillip
year	2016
title	TopoBIM: Web-based Spatial Topology for Early Design Participation
doi	https://doi.org/10.52842/conf.ecaade.2016.2.663
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 663-672
wos	WOS:000402064400067
summary	TopoBIM is a 3D web-based viewer for BIM data that facilitates the capture of stakeholder knowledge related to project requirements and constraints in early design. The software provides an interface for viewing 3D models and data for selected room types and adding topological annotations. The use of topological representation is proposed as a method for facilitating knowledge capture, allowing decisions about the details of plan layout to be deferred and widening the potential for participation in the early stage design process. Topological representation is widely employed in the engineering disciplines, but is not commonly used as a means of capturing schematic information in early design. TopoBIM is proposed as a methodology and workflow for the introduction of topology in early design, and as an example of lightweight, bespoke software that informs design by allowing stakeholders to perform specific tasks using BIM data, without the constraints and limiting complexity of BIM authoring environments.
keywords	Early design; Topological representation; Participation; BIM; Knowledge capture
series	eCAADe
email
last changed	2022/06/07 07:58

_id	ascaad2016_004
id	ascaad2016_004
authors	Peteinarelis, Alexandros; Socrates Yiannoudes
year	2016
title	Algorithmic Thinking in Design and Construction - Working with parametric models
source	Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 19-28
summary	This paper examines the parametric model in algorithmic design processes, using the outcome of an educational digital design and fabrication course as a case study. In its long history, algorithmic design as a form-finding method, allowed designers to manage complex non-standard associative geometries, suggesting a shift from the digital representation of form, to its systematic representation into a parametric model through code. Rather than a style or a tool, the parametric model is best defined in mathematical terms; in practice it incorporates the organizational logic of the form and the topological associations of its parts, so that a change in its constitutive parameters will invoke a concerted update of the entire model, and, iteratively, formal and structural variations. In a series of design experiments that took place at the School of Architecture of the Technical University of Crete in the spring of 2015, we used parametric models represented into visual code, from the initial conceptual stage to fabrication. From the experience and outcome of this course, we deduced that, compared to other digital formation methods, parametric models allow the designer to constantly interact with the model through the code, producing discreet variations without losing control of the design intentions, by “searching” into a wide range (albeit finite) of virtual results. This suggested a shift in culturally embedded patterns of modernist design thinking.
series	ASCAAD
email
last changed	2017/05/25 13:13

_id	caadria2016_259
id	caadria2016_259
authors	Chen, Jia-Yih and Shao-Chu Huang
year	2016
title	Adaptive Building Facade Optimisation: An integrated Green-BIM approach
doi	https://doi.org/10.52842/conf.caadria.2016.259
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 259-268
summary	This study focused on the optimal design of adaptive build- ing fac?ade for achieving better energy performance. Iterative fac?ade components design are studied between virtual and physical models with integrated tools of BIM, parametric design and sensor devices. The main objectives of this study are: (1) exploring systematic design process via the analysis of adaptive components in responsive fac?ade design; (2) developing compliance checking system for green building regulations; (3) developing optimization system for adaptive fac?ade design process. This paper demonstrated the integration of various digital design methods and concluded with the energy modelling re- sults of a demo project unit for various fac?ade component designs.
keywords	Building fac?ade design; energy performance; design optimization; parametric design; BIM
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ascaad2016_059
id	ascaad2016_059
authors	Admed, Mohammad H.K.
year	2016
title	Towards Developing BIM Curriculum in Higher Education in Egypt
source	Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 589-598
summary	The paper surveys and discusses the current state of teaching BIM in departments of architecture in Egypt. It also connects it to the increasing professional market demand for technologically qualified architects. In specific, the paper explores the reasons behind the fact that the local BIM curriculum is lagging behind its international counterpart. It also explores the need to utilise BIM software capabilities. A further comparative survey is carried out between local case studies and international cases through identifying several stages of BIM implementation in both teaching and design. The advantages and disadvantages of the current method of teaching are explored in an effort to improve performance of BIM curriculum.
series	ASCAAD
email
last changed	2017/05/25 13:34

_id	ecaade2016_063
id	ecaade2016_063
authors	Al-Qattan, Emad, Galanter, Philip and Yan, Wei
year	2016
title	Developing a Tangible User Interface for Parametric and BIM Applications Using Physical Computing Systems.
doi	https://doi.org/10.52842/conf.ecaade.2016.2.621
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 621-630
wos	WOS:000402064400063
summary	This paper discusses the development of an interactive and a responsive Tangible User-Interface (TUI) for parametric and Building Information Modeling (BIM) applications. The prototypes presented in this paper utilizes physical computing systems to establish a flexible and intuitive method to engage digital design processes.The prototypes are hybrid UIs that consist of a digital modeling tool and an artifact. The artifact consists of a control system (sensors, actuators, and microcontrollers) and physical objects (architectural elements). The link between both environments associates physical objects with their digital design information to assist users in the digital design process. The integration of physical computing systems will enable the objects to physically respond to analog input and provide real-time feedback to users. The research aims to foster tangible computing methods to extend the capabilities of digital design tools. The prototypes demonstrate a method that allows architects to simultaneously interact with complex architectural systems digitally and physically.
keywords	Physical Computing; Parametric Design; BIM; Tangible UI
series	eCAADe
email
last changed	2022/06/07 07:54

_id	caadria2016_125
id	caadria2016_125
authors	Chen, I-Chih and June-Hao Hou
year	2016
title	Design with bamboo bend: Bridging natural material and computational design
doi	https://doi.org/10.52842/conf.caadria.2016.125
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 125-133
summary	Bamboo is a high potential alternative solution for substi- tuting industrial material with its natural characteristics, economical and environmental aspects. However, one of the biggest challenges for natural materials to be used in computational designed is the control- lability due to its unevenness nature. The other gap is the lack of ma- terial parameters that might be bridged by analysing data acquired from conventional tests. This research studied the raw bamboo strip and its natural forming from bending, by using sampling points and curvature reconstruction. The parametric models of bamboo strips were then constructed to represent its material behaviours for form prediction, material selection, and simulation in parametric design. It also serves as an assistive method for material selection when crafting with bamboo bend.
keywords	Bamboo; bending; material computation; digital crafting
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2016_457
id	caadria2016_457
authors	Chen, Szu-Yin; Kokfu Lok and Taysheng Jeng
year	2016
title	Smart BIM Objects for Design Intelligence
doi	https://doi.org/10.52842/conf.caadria.2016.457
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 457-466
summary	By enabling BIM technology, a building can be represented by a set of objects that carry detailed information about how they are constructed and also capture the relationship with other objects in the building model. Smart BIM objects can be classified as specific com- ponents encapsulating typical building rules and relations that can be predicted and defined by a few parameters and constraints. A frame- work is developed to show how a smart BIM object is developed. This paper presents the method of developing smart BIM object capable of better-informing design decision. To demonstrate the usefulness of smart BIM objects, a cloud BIM object library is developed and tested by academia and industry.
keywords	Smart BIM object; cloud database; parametric modelling
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	cdrf2023_526
id	cdrf2023_526
authors	Eric Peterson, Bhavleen Kaur
year	2023
title	Printing Compound-Curved Sandwich Structures with Robotic Multi-Bias Additive Manufacturing
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_44
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary	A research team at Florida International University Robotics and Digital Fabrication Lab has developed a novel method for 3d-printing curved open grid core sandwich structures using a thermoplastic extruder mounted on a robotic arm. This print-on-print additive manufacturing (AM) method relies on the 3d modeling software Rhinoceros and its parametric software plugin Grasshopper with Kuka-Parametric Robotic Control (Kuka-PRC) to convert NURBS surfaces into multi-bias additive manufacturing (MBAM) toolpaths. While several high-profile projects including the University of Stuttgart ICD/ITKE Research Pavilions 2014–15 and 2016–17, ETH-Digital Building Technologies project Levis Ergon Chair 2018, and 3D printed chair using Robotic Hybrid Manufacturing at Institute of Advanced Architecture of Catalonia (IAAC) 2019, have previously demonstrated the feasibility of 3d printing with either MBAM or sandwich structures, this method for printing Compound-Curved Sandwich Structures with Robotic MBAM combines these methods offering the possibility to significantly reduce the weight of spanning or cantilevered surfaces by incorporating the structural logic of open grid-core sandwiches with MBAM toolpath printing. Often built with fiber reinforced plastics (FRP), sandwich structures are a common solution for thin wall construction of compound curved surfaces that require a high strength-to-weight ratio with applications including aerospace, wind energy, marine, automotive, transportation infrastructure, architecture, furniture, and sports equipment manufacturing. Typical practices for producing sandwich structures are labor intensive, involving a multi-stage process including (1) the design and fabrication of a mould, (2) the application of a surface substrate such as FRP, (3) the manual application of a light-weight grid-core material, and (4) application of a second surface substrate to complete the sandwich. There are several shortcomings to this moulded manufacturing method that affect both the formal outcome and the manufacturing process: moulds are often costly and labor intensive to build, formal geometric freedom is limited by the minimum draft angles required for successful removal from the mould, and customization and refinement of product lines can be limited by the need for moulds. While the most common material for this construction method is FRP, our proof-of-concept experiments relied on low-cost thermoplastic using a specially configured pellet extruder. While the method proved feasible for small representative examples there remain significant challenges to the successful deployment of this manufacturing method at larger scales that can only be addressed with additional research. The digital workflow includes the following steps: (1) Create a 3D digital model of the base surface in Rhino, (2) Generate toolpaths for laminar printing in Grasshopper by converting surfaces into lists of oriented points, (3) Generate the structural grid-core using the same process, (4) Orient the robot to align in the direction of the substructure geometric planes, (5) Print the grid core using MBAM toolpaths, (6) Repeat step 1 and 2 for printing the outer surface with appropriate adjustments to the extruder orientation. During the design and printing process, we encountered several challenges including selecting geometry suitable for testing, extruder orientation, calibration of the hot end and extrusion/movement speeds, and deviation between the computer model and the physical object on the build platen. Physical models varied from their digital counterparts by several millimeters due to material deformation in the extrusion and cooling process. Real-time deviation verification studies will likely improve the workflow in future studies.
series	cdrf
email
last changed	2024/05/29 14:04

_id	ecaade2016_243
id	ecaade2016_243
authors	Gül, Leman Figen and Hal?c?, Süheyla Müge
year	2016
title	Collaborative Design with Mobile Augmented Reality
doi	https://doi.org/10.52842/conf.ecaade.2016.1.493
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 1, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 493-500
wos	WOS:000402063700054
summary	In early design process, designers employ several media for externalizations of their design ideas which facilitate decision making, discussion and evaluation. Especially models are the most common representation tools and are used generally to understand and make spatial reasoning on the design ideas. Besides the traditional methods, today, the technological developments bring new ways for collaboration and design in 3D; the mobile augmented reality (MAR) technology is one of them. MAR is augmented reality technology which is provided by mobile devices. This study focuses on the early design process of collaborative designers' communication when they are working with the MAR technology. We developed a MAR environment for designers, and conducted an experiment to understand the key elements of the interaction of the designers with the interface. The communication and interaction of the designers are analyzed using the protocol analysis method. The results show that the MAR technology supports the co-design activities encouraging the designers to manipulate the created artefact. The results of the study would be indicative for future studies.
keywords	collaborative design; mobile augmented reality; protocol analysis
series	eCAADe
email
last changed	2022/06/07 07:50

_id	ecaade2016_136
id	ecaade2016_136
authors	Kwiecinski, Krystian, Santos, Filipe, Almeida, Ana de, Taborda, Bruno and Eloy, Sara
year	2016
title	Wood Mass-Customized Housing - A dual computer implementation design strategy
doi	https://doi.org/10.52842/conf.ecaade.2016.2.349
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 349-358
wos	WOS:000402064400034
summary	This paper reports our current research on automatic generation of houses layouts according to future inhabitant's requirements. For that generation we propose the use of a design method based on shape grammars that encodes light wood frame construction guidelines. Two different implementations for the design system are presently under development. One based on shape grammars supplemented with procedural knowledge and another using a genetic algorithm. Both implementations allow the generation of house layouts that fulfill both the user requirements and the design language.
keywords	shape grammar; genetic algorithm; computer implementation
series	eCAADe
email
last changed	2022/06/07 07:52

_id	lasg_whitepapers_2016_006
id	lasg_whitepapers_2016_006
authors	Philip Beesley
year	2016
title	Dissipative Models: Notes toward Design Method
source	Living Architecture Systems Group White Papers 2016 [ISBN 978-1-988366-10-4 (EPUB)] Riverside Architectural Press 2016: Toronto, Canada pp. 006 - 017
summary	Living Architecture Systems Group "White Papers 2016" is a dossier produced for the occasion of the Living Architecture Systems Group launch event and symposium hosted on November 4 and 5 at the Sterling Road Studio in Toronto and the University of Waterloo School of Architecture at Cambridge. The "White Papers 2016" presents research contributions from the LASG partners, forming an overview of the partnership and highlighting oppportunities for future collaborations.
keywords	design, dissipative methods, design methods, synthetic cognition, neuroscience, metabolism, STEAM, organicism, field work, responsive systems, space, visualizations, sensors, actuators, signal flows, art and technology, new media art, digital art, emerging technologies, citizen building, bioinspiration, performance, paradigms, artificial nature, virtual design, regenerative design, 4DSOUND, spatial sound, biomanufacturing, eskin, delueze, bees, robotics
email
last changed	2019/07/29 14:00

_id	acadia16_332
id	acadia16_332
authors	Retsin, Gilles; Garcia, Manuel Jimenez
year	2016
title	Discrete Computational Methods for Robotic Additive Manufacturing: Combinatorial Toolpaths
doi	https://doi.org/10.52842/conf.acadia.2016.332
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 332-341
summary	The research presented in this paper is part of a larger, emerging body of research into large-scale 3D printing. The research attempts to develop a computational design method specifically for large-scale 3D printing of architecture. Influenced by the concept of Digital Materials, this research is situated within a critical discussion of what fundamentally constitutes a digital object and process. This requires a holistic understanding, taking into account both computational design and fabrication. The intrinsic constraints of the fabrication process are used as opportunities and generative drivers in the design process. The paper argues that a design method specifically for 3D printing should revolve around the question of how to organize toolpaths for the continuous addition or layering of material. Two case-study projects advance discrete methods as efficient ways to compute a continuous printing process. In contrast to continuous models, discrete models allow users to serialize problems and errors in toolpaths. This allows a local optimization of the structure, avoiding the use of global, computationally expensive, problem-solving algorithms. Both projects make use of a voxel-based approach, where a design is generated directly from the combination of thousands of serialized toolpath fragments. The understanding that serially repeated elements can be assembled into highly complex and heterogeneous structures has implications stretching beyond 3D printing. This combinatorial approach for example also becomes highly valuable for construction systems based on modularity and prefabrication.
keywords	prgrammable materials, simulation and design optimization, digital fabrication, big data
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

_id	caadria2016_497
id	caadria2016_497
authors	Ryu, Jungrim; Jaehong Jun, Seunghyeon Lee and Seungyeon Choo
year	2016
title	A Study on Development of the IFC-based Indoor Spatial Information for Data Visualisation
doi	https://doi.org/10.52842/conf.caadria.2016.497
source	Living Systems and Micro-Utopias: Towards Continuous Designing, Proceedings of the 21st International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2016) / Melbourne 30 March–2 April 2016, pp. 497-506
summary	MOLIT authorised Indoor Spatial Information as Basic spa- tial information in 2013. It became a legal evidence for constructing and managing Indoor Spatial Information. Although it has a little ad- vantage to utilise as service level that Indoor Spatial Information by laser scan or measurement, it has a lot of problems such as consuming many resources, requiring additional progresses for inputting Object Information. In conclusion, it is inefficient to utilise for the mainte- nance and domestic AEC/FM field. The purposes of this study is to output Indoor Spatial Information by operating IFC model which based on open BIM and to improve availability of Indoor Spatial In- formation with data visualisation. The open-sources of IFC Exporter, an inner program of Revit, is used to output Indoor Spatial Infor- mation. Directs 3D Library is also operated to visualise Indoor Spatial Information. It is possible to inter-operate between XML format and the objects of Indoor Spatial Information. It can be utilised in various field as well. For example COBie linkage in facility management, construction of geo-database using air-photogrammetry of UA V , the simulation of large-scale military operations and the simulation of large-scale evacuation. The method that is purposed in this study has outstanding advantages such as conformance with national spatial in- formation policy, high level of interoperability as indoor spatial in- formation objects based on IFC, convenience of editing information, light level of data and simplifying progress of producing information.
keywords	Indoor spatial information, data visualisation, open BIM, IFC
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia19_392
id	acadia19_392
authors	Steinfeld, Kyle
year	2019
title	GAN Loci
doi	https://doi.org/10.52842/conf.acadia.2019.392
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. 392-403
summary	This project applies techniques in machine learning, specifically generative adversarial networks (or GANs), to produce synthetic images intended to capture the predominant visual properties of urban places. We propose that imaging cities in this manner represents the first computational approach to documenting the Genius Loci of a city (Norberg-Schulz, 1980), which is understood to include those forms, textures, colors, and qualities of light that exemplify a particular urban location and that set it apart from similar places. Presented here are methods for the collection of urban image data, for the necessary processing and formatting of this data, and for the training of two known computational statistical models (StyleGAN (Karras et al., 2018) and Pix2Pix (Isola et al., 2016)) that identify visual patterns distinct to a given site and that reproduce these patterns to generate new images. These methods have been applied to image nine distinct urban contexts across six cities in the US and Europe, the results of which are presented here. While the product of this work is not a tool for the design of cities or building forms, but rather a method for the synthetic imaging of existing places, we nevertheless seek to situate the work in terms of computer-assisted design (CAD). In this regard, the project is demonstrative of a new approach to CAD tools. In contrast with existing tools that seek to capture the explicit intention of their user (Aish, Glynn, Sheil 2017), in applying computational statistical methods to the production of images that speak to the implicit qualities that constitute a place, this project demonstrates the unique advantages offered by such methods in capturing and expressing the tacit.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:56

_id	ecaade2016_166
id	ecaade2016_166
authors	Trento, Armando and Fioravanti, Antonio
year	2016
title	Human Behaviour Simulation to Enhance Workspace Wellbeing and Productivity - A BIM and Ontologies implementation path
doi	https://doi.org/10.52842/conf.ecaade.2016.2.315
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 315-325
wos	WOS:000402064400031
summary	Three-quarters of the production value are generated during activities that involve thinking, conducting relational and brainstorming activities. Most of the European office buildings today have been designed on more than fifty year old architectural and psychosocial concepts. To improve wellbeing and productivity, design innovation focuses on human's use-process, evolving individual workspace to flexible and specialized ones, according to the users tasks - activity-based. BIM supports sophisticated behaviors simulation such as energy, acoustics, although the state of the art, this paradigm is not able to manage space use-processes. Compared to current research on simulation systems, the proposed method links spaces to user's Behavioral Knowledge including formalization of Personality Typologies and profiled behavioral patterns. A hybrid approach for computational technique has been identified, combining (big) data-driven algorithm with ontology-based context reasoning, in order to achieve both, the best performance from intensive data-driven methods, and the finest adaptation for ontological context awareness (including unexplored context capabilities and objects adaptations).
keywords	Event Ontology; Design Knowledge Representation and Management; Human Behaviour, BIM
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ijac201614309
id	ijac201614309
authors	Yu, Rongrong and John S Gero
year	2016
title	An empirical basis for the use of design patterns by architects in parametric design
source	International Journal of Architectural Computing vol. 14 - no. 3, 289-302
summary	This article presents the results from exploring the impact of using a parametric design tool on designers’ behavior in terms of using design patterns in the early conceptual development stage of designing. It is based on an empirical cognitive study in which eight architectural designers were asked to complete two architectural design tasks with similar complexity, respectively, in a parametric design environment and a geometric modeling environment. The protocol analysis method was employed to study the designers’ behavior. In order to explore the development of design patterns in the empirical data, Markov model analysis is utilized. Through Markov models analysis of the parametric design environment and geometric modeling environment results, it was found that there are some significantly different design patterns being used when designing in a parametric design environment compared to designing in a geometric modeling environment. The article articulates these differences and draws conclusions from these results.
keywords	Design patterns, parametric design, protocol analysis
series	journal
last changed	2016/10/05 08:21

_id	ascaad2016_047
id	ascaad2016_047
authors	Algeciras-Rodríguez, José
year	2016
title	Trained Architectonics
source	Parametricism Vs. Materialism: Evolution of Digital Technologies for Development [8th ASCAAD Conference Proceedings ISBN 978-0-9955691-0-2] London (United Kingdom) 7-8 November 2016, pp. 461-468
summary	The research presented here tests the capacity of artificial-neural-network (ANN) based multi-agent systems to be implemented in architectural design processes. Artificial Intelligence algorithms allow for a new approach to design, taking advantage of its generic functioning to produce meaningful outcomes. Experimentation within this project is based on Self-Organizing Maps (SOMs) and takes advantage of its behavior in topology to produce architectural geometry. SOMs as full stochastic processes involve randomness, uncertainty and unpredictability as key features to deal with during the design process. Following this behavior, SOMs are used to transmit information, which, instead of being copied, is reproduced after a learning (training) process. Pre-existent architectural objects are taken as learning models as they have been considered masterpieces. In this context, by defining the SOM input set, masterpieces become measurement elements and can be used to set a distance to the new element position in a comparatistic space. The characteristics of masterpieces get embedded within the code and are transmitted to 3D objects. SOM produced objects from a population with shared characteristics where the masterpiece position is its probabilistic center point.
series	ASCAAD
email
last changed	2017/05/25 13:33

_id	ecaade2016_199
id	ecaade2016_199
authors	Caetano, In?s and Leit?o, António
year	2016
title	Using Processing with Architectural 3D Modelling
doi	https://doi.org/10.52842/conf.ecaade.2016.1.405
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 1, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 405-412
wos	WOS:000402063700045
summary	Although programming was considered a specialized task in the past, we have been witnessing an increasing use of algorithms in the architectural field, which has opened up a wide range of new design possibilities. This was possible in part due to programming languages that were designed to be easy to learn and use by designers and architects, such as Processing. Processing is widely used for academic purposes, whereas in the architectural practice it is not as used as other programming languages due to its limitations for 3D modeling. In this paper, we describe the use of an extended Processing implementation to generate three 3D models inspired in existing case studies, which can be visualized and edited in different CAD and BIM applications.
keywords	Generative design; Programming; Processing; 3D modeling
series	eCAADe
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last changed	2022/06/07 07:54

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