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	ecaade2017_100
id	ecaade2017_100
authors	Daniotti, Bruno, Lupica Spagnolo, Sonia, Mirarchi, Claudio, Pasini, Daniela and Pavan, Alberto
year	2017
title	An Italian BIM-based portal to support collaborative design and construction - A case study on an enhanced use of information relying on a classification system and computational technical datasheets
doi	https://doi.org/10.52842/conf.ecaade.2017.2.067
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 67-76
summary	A great amount of information needs to be managed along the building life cycle in order to fulfil building codes, standards and regulations, client and user requirements. However, a lack of transparency in the information management and a lack of communication between stakeholders often bring to the adoption of solutions in the design process that do not meet the original requirements. Therefore, an ordered structure for information improves its storage, enhancing its visibility, traceability, usability and re-usability. In addition, for public works contracts and design contests, the use of specific electronic tools, such as building information electronic modelling tools, is often required for the information management. The paper presents the efforts devoted within the Italian building sector for proposing a standardized structure and developing tools for collecting, sharing and exchanging information between stakeholders involved in different stages of the building process. An enhanced use of information relying on the adoption of the standardized structure of information is presented, proposing dedicated applications for automating the process of information fruition.
keywords	BIM-based portal; Standardized information; Computational technical datasheets
series	eCAADe
email
last changed	2022/06/07 07:55

_id	caadria2017_062
id	caadria2017_062
authors	Ji, Seung Yeul, Kim, Mi Kyoung and Jun, Han Jong
year	2017
title	Campus Space Management Using a Mobile BIM-based Augmented Reality System
doi	https://doi.org/10.52842/conf.caadria.2017.105
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. 105-114
summary	In South Korea, the changing paradigm of family composition toward single-person households and nuclear families has caused the decrease in number of students, which has led to the need for change in the qualitative, rather than quantitative, management of spaces and facilities on university campuses. In particular, since 2005, the merging of universities have accelerated, which has brought up the need for a system that facilitates the management of integrated university systems. Accordingly, universities now require efficient system operation based on three-dimensional and data visualization, unlike the document-based management of facilities and spaces in the past. Users lack a sense of responsibility for public facilities, causing difficulties such as energy waste and frequent movement, as well as damage and theft of goods. This study aims to form an AR-based interface using the ANPR algorithm, a computer vision technique, and the position-based data of the GPS. It also aims to build a campus space management system to overcome the limitations of current systems and to effectively and systematically manage integrated building data. In addition, for module test verification, the prototype is applied to actual campus spaces, and additional demands for campus space management in the AR application are identified and organized.
keywords	augmented reality; Campus space management; BIM; CAFM (computer-aided facilities management); user experience (UX)
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	ecaade2017_013
id	ecaade2017_013
authors	Junk, Stefan and Gawron, Philipp
year	2017
title	Development of parametric CAAD models for the additive manufacturing of scalable architectural models
doi	https://doi.org/10.52842/conf.ecaade.2017.1.419
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 419-426
summary	Architecture models are an essential component of the development process and enable a physical representation of virtual designs. In addition to the conventional methods of model production using the machining of models made of wood, metal, plastic or glass, a number of additive manufacturing processes are now available. These new processes enable the additive manufacturing of architectural models directly from CAAD or BIM data. However, the boundary conditions applicable to the ability to manufacture models with additive manufacturing processes must also be considered. Such conditions include the minimum wall thickness, which depends on the applied additive manufacturing process and the materials used. Moreover, the need for the removal of support structures after the additive manufacturing process must also be considered. In general, a change in the scale of these models is only possible at very high effort. In order to allow these restrictions to be adequately incorporated into the CAAD model, this contribution develops a parametrized CAAD model that allows such boundary conditions to be modified and adapted while complying with the scale. Usability of this new method is illustrated and explained in detail in a case study. In addition, this article addresses the additive manufacturing processes including subsequent post-processing.
keywords	Digital manufacturing; Parametric design; Architectural model
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ecaade2023_227
id	ecaade2023_227
authors	Moorhouse, Jon and Freeman, Tim
year	2023
title	Towards a Genome for Zero Carbon Retrofit of UK Housing
doi	https://doi.org/10.52842/conf.ecaade.2023.2.197
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 2, Graz, 20-22 September 2023, pp. 197–206
summary	The United Kingdom has some of the worst insulated housing stock in Northern Europe. This is in part due to the age of housing in the UK, with over 90% being built before 1990 [McCrone 2017, Piddington 2020]. Moreover, 85% of current UK housing will still be in use in 2050 by which stage their Government are targeting Net Carbon Zero [Eyre 2019]. Domestic energy use accounts for around 25% of UK carbon emissions. The UK will need to retrofit 20 million dwellings in order to meet this target. If this delivery were evenly spread, it would equate to over 2,000 retrofit completions each day. Government-funded initiatives are stimulating the market, with upwards of 60,000 social housing retrofits planned for 2023, but it is clear that a system must be developed to enable the design and implementation of housing-stock improvement at a large scale.This paper charts the 20-year development of a digital approach to the design for low-carbon domestic retrofit by architects Constructive Thinking Studio Limited and thence documents the emergence of a collaborative approach to retrofit patterns on a National scale. The author has led the Research and Development stream of this practice, developing a Building Information Modelling methodology and integrated Energy Modelling techniques to optimise design for housing retrofit [Georgiadou 2019, Ben 2020], and then inform a growing palette of details and a database of validated solutions [Moorhouse 2013] that can grow and be used to predict options for future projects [D’Angelo 2022]. The data is augmented by monitoring energy and environmental performance, enabling a growing body of knowledge that can be aligned with existing big data to simulate the benefits of nationwide stock improvement. The paper outlines incremental case studies and collaborative methods pivotal in developing this work The proposed outcome of the work is a Retrofit Genome that is available at a national level.
keywords	Retrofit, Housing, Zero-Carbon, BIM, Big Data, Design Genome
series	eCAADe
email
last changed	2023/12/10 10:49

_id	acadia17_502
id	acadia17_502
authors	Rosenwasser, David; Mantell, Sonya; Sabin, Jenny
year	2017
title	Clay Non-Wovens: Robotic Fabrication and Digital Ceramics
doi	https://doi.org/10.52842/conf.acadia.2017.502
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 502- 511
summary	Clay Non-Wovens develops a new approach for robotic fabrication, applying traditional craft methods and materials to a fundamentally technical and precise fabrication methodology. This paper includes new explorations in robotic fabrication, additive manufacturing, complex patterning, and techniques bound in the arts and crafts. Clay Non-Wovens seeks to develop a system of porous cladding panels that negotiate circumstances of natural daylighting through parameters dealing with textile (woven and non-woven) patterning and line typologies. While additive manufacturing has been built predominantly on the basis of extrusion, technological developments in the field of 3D printing seldom acknowledge the bead or line of such extrusions as more than a nuisance. Blurring of recognizable layers is often seen as progress, but it does away with visible traces of a fabrication process. Historically, however, construction methods in architecture and the building industry have celebrated traces of making ranging from stone cutting to log construction. With growing interest in digital craft within the fields of architecture and design, we seek to reconcile our relationship with the extruded bead and reinterpret it as a fiber and three-dimensional drawing tool. The traditional clay coil is to be reconsidered as a structural fiber rather than a tool for solid construction. Building upon this body of robotically fabricated clay structures required the development of three distinct but connected techniques: 1. construction of a simple end effector for extrusion; 2. development of a clay body and; 3. using computational design tools to develop formwork and toolpath geometries.
keywords	design methods; information processing; fabrication; digital craft; manual craft; prototyping
series	ACADIA
email
last changed	2022/06/07 07:56

_id	acadia17_512
id	acadia17_512
authors	Rossi, Andrea; Tessmann, Oliver
year	2017
title	Collaborative Assembly of Digital Materials
doi	https://doi.org/10.52842/conf.acadia.2017.512
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 512- 521
summary	Current developments in design-to-production workflows aim to allow architects to quickly prototype designs that result from advanced design processes while also embedding the constraints imposed by selected fabrication equipment. However, the enduring physical separation between design space and fabrication space, together with a continuous approach to both design, via NURBs modeling software, and fabrication, through irreversible material processing methods, limit the possibilities to extend the advantages of a “digital” approach (Ward 2010), such as full editability and reversibility, to physical realizations. In response to such issues, this paper proposes a processto allow the concurrent design and fabrication of discrete structures in a collaborative process between human designer and a 6-axis robotic arm. This requires the development of design and materialization procedures for discrete aggregations, including the modeling of assembly constraints, as well as the establishment of a communication platform between human and machine actors. This intends to offer methods to increase the accessibility of discrete design methodologies, as well as to hint at possibilities for overcoming the division between design and manufacturing (Carpo 2011; Bard et al. 2014), thus allowing intuitive design decisions to be integrated directly within assembly processes (Johns 2014).
keywords	material and construction; construction/robotics; smart assembly/construction; generative system
series	ACADIA
email
last changed	2022/06/07 07:56

_id	acadia17_630
id	acadia17_630
authors	Vasanthakumar, Saeran; Saha, Nirvik; Haymaker, John; Shelden, Dennis
year	2017
title	Bibil: A Performance-Based Framework to Determine Built Form Guidelines
doi	https://doi.org/10.52842/conf.acadia.2017.630
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 630- 639
summary	City built-form guidelines act as durable constraints on building design decisions. Such guidelines directly impact energy, comfort and other performance conditions. Existing urban design and planning methods only consider a narrow range of potential design scenarios, with rudimentary performance criteria, resulting in suboptimal urban designs. Bibil is a software plugin for the Rhinoceros3D/Grasshopper3D CAD modeler that addresses this gap through the synthesis of design space exploration methods to help design teams optimize guidelines for environmental and energy performance criteria over the life cycle of the city. Bibil consists of three generative and data management modules. The first module simulates development scenarios from street and block information through time, the second designs appropriate architectural typology, and the third abstracts the typologies into a lightweight analysis model for detailed thermal load and energy simulation. State-of-the-art performance simulation is done via the Ladybug Analysis Tools Grasshopper3D plugin, and further bespoke analysis to explore the resulting design space is achieved with custom Python scripts.This paper first introduces relevant background for automated exploration of urban design guidelines. Then the paper surveys the state-of-the-art in design and performance simulation tools in the urban domain. Next the paper describes the beta version of the tool’s three modules and its application in a built form study to assess urban canyon performance in a major North American city. Bibil enables the exploration of a broader range of potential design scenarios, for a broader range of performance criteria, over a longer period of time.
keywords	design methods; information processing; simulation & optimization; form finding; generative system
series	ACADIA
email
last changed	2022/06/07 07:58

_id	acadia17_660
id	acadia17_660
authors	Zivkovic, Sasa; Battaglia, Christopher
year	2017
title	Open Source Factory: Democratizing Large-Scale Fabrication Systems
doi	https://doi.org/10.52842/conf.acadia.2017.660
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 660- 669
summary	Open source frameworks have enabled widespread access to desktop-scale additive manufacturing technology and software, but very few highly hackable large-scale or industrial open source equipment platforms exist. As research trajectories continue to move towards large-scale experimentation and full-scale building construction in robotic and digital fabrication, access to industrial fabrication equipment is critical. Large-scale digital fabrication equipment usually requires extensive start-up investments which becomes a prohibitive factor for open research. Expanding on the idea of the Fab Lab as well as the RepRap movement, the Open Source Factory takes advantage of disciplinary expertise and trans-disciplinary knowledge in construction machine design accumulated over the past decade. With the goal to democratize access to large-scale industrial fabrication equipment, this paper outlines the creation of two full-scale fabrication systems: a RepRap based large-scale 3-axis open source CNC gantry and a 6-axis industrial robot system based on a decommissioned KUKA KR200/2. Both machines offer radically different economic frameworks for implementing research in advanced full scale robotic fabrication into contexts of pedagogy, the research lab, practice, or small scale local building industry. This research demonstrates that such equipment can be implemented by building on the current knowledge base in the field. If industrial robots and other large-scale fabrication tools become accessible for all, the collective sharing of research and the development of new ideas in full-scale robotic building construction can be substantially accelerated.
keywords	education, society & culture; CAM; prototyping; construction/robotics; education; digital heritage
series	ACADIA
email
last changed	2022/06/07 07:57

_id	caadria2017_131
id	caadria2017_131
authors	Abe, U-ichi, Hotta, Kensuke, Hotta, Akito, Takami, Yosuke, Ikeda, Hikaru and Ikeda, Yasushi
year	2017
title	Digital Construction - Demonstration of Interactive Assembly Using Smart Discrete Papers with RFID and AR codes
doi	https://doi.org/10.52842/conf.caadria.2017.075
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. 75-84
summary	This paper proposes and examines a new way of cooperation between human workers and machine intelligence in architectural scale construction. For the transfer of construction information between the physical and digital world, mature technologies such as Radio Frequency IDentifier (RFID), and emerging technologies like Augmented Reality (AR) are used in parallel to supplement each other. Dynamic data flow is implemented to synchronize digital and physical models by following the ID signatures of individual building parts. The contributions of this paper includes the demonstration of current technological limitations, and the proposal of a hybrid system between human and computer, which is tested in order to explore the possibilities of digitally enhanced construction methods.
keywords	Digital Construction; Augmented Reality; Human-Machine interaction
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ijac201715301
id	ijac201715301
authors	Afsari, Kereshmeh; Charles Eastman and Dennis Shelden
year	2017
title	Building Information Modeling data interoperability for Cloud-based collaboration: Limitations and opportunities
source	International Journal of Architectural Computing vol. 15 - no. 3, 187-202
summary	Collaboration within Building Information Modeling process is mainly based on the manual transfer of document files in either vendor-specific formats or neutral format using Industry Foundation Classes. However, since the web enables Cloud-based Building Information Modeling services, it provides an opportunity to exchange data with web technologies. Alternative data sharing solutions include the federation of Building Information Modeling models and an interchange hub for data exchange in real time. These solutions face several challenges, are vendor locked, and integrate Building Information Modeling applications to a third new system. The main objective of this article is to investigate current limitations as well as opportunities of Cloud interoperability to outline a framework for a loosely coupled network-based Building Information Modeling data interoperability. This study explains that Cloud-Building Information Modeling data exchange needs to deploy major components of Cloud interoperability such as Cloud application programming interfaces, data transfer protocols, data formats, and standardization to redefine Building Information Modeling data flow in Cloud-based applications and to reshape collaboration process.
keywords	Building Information Modeling, Cloud, data exchange, interoperability, Industry Foundation Classes
series	journal
email
last changed	2019/08/07 14:03

_id	acadia17_52
id	acadia17_52
authors	Ajlouni, Rima
year	2017
title	Simulation of Sound Diffusion Patterns of Fractal-Based Surface Profiles
doi	https://doi.org/10.52842/conf.acadia.2017.052
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 52-61
summary	Acoustical design is one of the most challenging aspects of architecture. A complex system of competing influences (e.g., space geometry, size, proportion, material properties, surface detail, etc.) contribute to shaping the quality of the auditory experience. In particular, architectural surfaces affect the way that sound reflections propagate through space. By diffusing the reflected sound energy, surface designs can promote a more homogeneous auditory atmosphere by mitigating sharp and focused reflections. One of the challenges with designing an effective diffuser is the need to respond to a wide band of sound wavelengths, which requires the surface profile to precisely encode a range of detail sizes, depths and angles. Most of the available sound diffusers are designed to respond to a narrow band of frequencies. In this context, fractal-based surface designs can provide a unique opportunity for mitigating such limitations. A key principle of fractal geometry is its multilevel hierarchical order, which enables the same pattern to occur at different scales. This characteristic makes it a potential candidate for diffusing a wider band of sound wavelengths. However, predicting the reflection patterns of complicated fractal-based surface designs can be challenging using available acoustical software. These tools are often costly, complicated and are not designed for predicting early sound propagation paths. This research argues that writing customized algorithms provides a valuable, free and efficient alternative for addressing targeted acoustical design problems. The paper presents a methodology for designing and testing a customized algorithm for predicting sound diffusion patterns of fractal-based surfaces. Both quantitative and qualitative approaches were used to develop the code and evaluate the results.
keywords	design methods; information processing; simulation & optimization; data visualization
series	ACADIA
email
last changed	2022/06/07 07:54

_id	ecaade2017_148
id	ecaade2017_148
authors	Baseta, Efilena, Sollazzo, Aldo, Civetti, Laura, Velasco, Dolores and Garcia-Amorós, Jaume
year	2017
title	Photoreactive wearable: A computer generated garment with embedded material knowledge - A computer generated garment with embedded material knowledge
doi	https://doi.org/10.52842/conf.ecaade.2017.2.317
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 317-326
summary	Driven by technology, this multidisciplinary research focuses on the implementation of a photomechanical material into a reactive wearable that aims to protect the body from the ultraviolet radiation deriving from the sun. In this framework, the wearable becomes an active, supplemental skin that not only protects the human body but also augments its functions, such as movement and respiration. The embedded knowledge enables the smart material to sense and exchange data with the environment in order to passively actuate a system that regulates the relation between the body and its surroundings in an attempt to maintain equilibrium. The design strategy is defined by 4 sequential steps: a) The definition of the technical problem, b) the analysis of the human body, c) the design of the reactive material system, as well as d) the digital simulations and the digital fabrication of the system. The aforementioned design strategies allow for accuracy as well as high performance optimization and predictability in such complex design tasks, enabling the creation of customized products, designed for individuals.
keywords	smart materials; wearable technology; data driven design; reactive garment; digital fabrication; performance simulations
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia17_138
id	acadia17_138
authors	Berry, Jaclyn; Park, Kat
year	2017
title	A Passive System for Quantifying Indoor Space Utilization
doi	https://doi.org/10.52842/conf.acadia.2017.138
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 138-145
summary	This paper presents the development of a prototype for a new sensing device for anonymously evaluating space utilization, which includes usage factors such as occupancy levels, congregation and circulation patterns. This work builds on existing methods and technology for measuring building performance, human comfort and occupant experience in post-occupancy evaluations as well as pre-design strategic planning. The ability to collect data related to utilization and occupant experience has increased significantly due to the greater accessibility of sensor systems in recent years. As a result, designers are exploring new methods to empirically verify spatial properties that have traditionally been considered more qualitative in nature. With this premise, this study challenges current strategies that rely heavily on manual data collection and survey reports. The proposed sensing device is designed to supplement the traditional manual method with a new layer of automated, unbiased data that is capable of capturing environmental and social qualities of a given space. In a controlled experiment, the authors found that the data collected from the sensing device can be extrapolated to show how layout, spatial interventions or other design factors affect circulation, congregation, productivity, and occupancy in an office setting. In the future, this sensing device could provide designers with real-time feedback about how their designs influence occupants’ experiences, and thus allow the designers to base what are currently intuition-based decisions on reliable data and evidence.
keywords	design methods; information processing; smart buildings; IoT
series	ACADIA
email
last changed	2022/06/07 07:52

_id	acadia17_154
id	acadia17_154
authors	Brown, Nathan; Mueller, Caitlin
year	2017
title	Designing With Data: Moving Beyond The Design Space Catalog
doi	https://doi.org/10.52842/conf.acadia.2017.154
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 154-163
summary	Design space catalogs, which present a collection of different options for selection by human designers, have become commonplace in architecture. Increasingly, these catalogs are rapidly generated using parametric models and informed by simulations that describe energy usage, structural efficiency, daylight availability, views, acoustic properties, and other aspects of building performance. However, by conceiving of computational methods as a means for fostering interactive, collaborative, guided, expert-dependent design processes, many opportunities remain to improve upon the originally static archetype of the design space catalog. This paper presents developments in the areas of interaction, automation, simplification, and visualization that seek to improve on the current catalog model while also describing a vision for effective computer-aided, performance-based design processes in the future.
keywords	design methods; information processing; simulation & optimization; data visualization
series	ACADIA
email
last changed	2022/06/07 07:54

_id	acadia17_164
id	acadia17_164
authors	Brugnaro, Giulio; Hanna, Sean
year	2017
title	Adaptive Robotic Training Methods for Subtractive Manufacturing
doi	https://doi.org/10.52842/conf.acadia.2017.164
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 164-169
summary	This paper presents the initial developments of a method to train an adaptive robotic system for subtractive manufacturing with timber, based on sensor feedback, machine-learning procedures and material explorations. The methods were evaluated in a series of tests where the trained networks were successfully used to predict fabrication parameters for simple cutting operations with chisels and gouges. The results suggest potential benefits for non-standard fabrication methods and a more effective use of material affordances.
keywords	design methods; information processing; construction; robotics; ai & machine learning; digital craft; manual craft
series	ACADIA
email
last changed	2022/06/07 07:52

_id	caadria2017_057
id	caadria2017_057
authors	Buš, Peter, Treyer, Lukas and Schmitt, Gerhard
year	2017
title	Urban Autopoiesis - Towards Adaptive Future Cities
doi	https://doi.org/10.52842/conf.caadria.2017.695
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. 695-704
summary	A city, defined as a unity of inhabitants with their environment and showing self-creating and self-maintaining properties, can be considered as an autopoietic system if we take into account its bottom-up processes with unpredictable behaviour of its components. Such a property can lead to self-creation of urban patterns. These processes are studied in well-known vernacular architectures and informal settlements around the world and they are able to adapt according to various conditions and forces. The main research objective is to establish a computational design-modelling framework for modelling autopoietic intricate characteristics of a city based on an adaptability, self-maintenance and self-generation of urban patterns with adequate visual representation.The paper introduces a modelling methodology that allows to combine planning tasks with inhabitants' interaction and data sources by using an interchange framework to model more complex urban dynamics. The research yields preliminary results tested in a simulation model of a redevelopment of Tanjong Pagar Waterfront, the container terminal in the city of Singapore being transformed into a new future centre as a conducted case study.
keywords	Urban Metabolism; Urban Autopoiesis; Computational Interchange; Emergent Urban Strategies; Adaptive City
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	acadia23_v1_166
id	acadia23_v1_166
authors	Chamorro Martin, Eduardo; Burry, Mark; Marengo, Mathilde
year	2023
title	High-performance Spatial Composite 3D Printing
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 166-171.
summary	This project explores the advantages of employing continuum material topology optimization in a 3D non-standard lattice structure through fiber additive manufacturing processes (Figure 1). Additive manufacturing (AM) has gained rapid adoption in architecture, engineering, and construction (AEC). However, existing optimization techniques often overlook the mechanical anisotropy of AM processes, resulting in suboptimal structural properties, with a focus on layer-by-layer or planar processes. Materials, processes, and techniques considering anisotropy behavior (Kwon et al. 2018) could enhance structural performance (Xie 2022). Research on 3D printing materials with high anisotropy is limited (Eichenhofer et al. 2017), but it holds potential benefits (Liu et al. 2018). Spatial lattices, such as space frames, maximize structural efficiency by enhancing flexural rigidity and load-bearing capacity using minimal material (Woods et al. 2016). From a structural design perspective, specific non-standard lattice geometries offer great potential for reducing material usage, leading to lightweight load-bearing structures (Shelton 2017). The flexibility and freedom of shape inherent to AM offers the possibility to create aggregated continuous truss-like elements with custom topologies.
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	ecaade2017_195
id	ecaade2017_195
authors	Collins, Jeffrey and Gentry, Russell
year	2017
title	KBAD - Knowledge Base for Architectural Detailing
doi	https://doi.org/10.52842/conf.ecaade.2017.2.657
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 657-666
summary	This paper examines the current state of the conventional Design-Bid-Build project, wherein design intentions are manually translated to construction directives by subcontractors based on industry-specific details. This process exacerbates a dilemma in design and construction; that often the designer may be unaware of certain details that are involved in fabricating and assembling building components. Research for Knowledge Base for Architectural Detailing (KBAD) proposes a system that takes advantage of current CAD software and programming language, bringing together the information provided by and important to the design team with the data required by the subcontractor to accurately produce architectural components, during the design phases of a project. The trade of architectural precast concrete is used to demonstrate the potential of such a system. Solid modeling, visual scripting, and programming language techniques working towards KBAD are described. Possible variations of architectural precast concrete panels, detailed with window openings, reveals, and embed plates, are presented.
keywords	BIM; HCI; Collaboration
series	eCAADe
email
last changed	2022/06/07 07:56

_id	caadria2017_031
id	caadria2017_031
authors	Crolla, Kristof, Williams, Nicholas, Muehlbauer, Manuel and Burry, Jane
year	2017
title	SmartNodes Pavilion - Towards Custom-optimized Nodes Applications in Construction
doi	https://doi.org/10.52842/conf.caadria.2017.467
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. 467-476
summary	Recent developments in Additive Manufacturing are creating possibilities to make not only rapid prototypes, but directly manufactured customised components. This paper investigates the potential for combining standard building materials with customised nodes that are individually optimised in response to local load conditions in non-standard, irregular, or doubly curved frame structures. This research iteration uses as a vehicle for investigation the SmartNodes Pavilion, a temporary structure with 3D printed nodes built for the 2015 Bi-City Biennale of Urbanism/Architecture in Hong Kong. The pavilion is the most recent staged output of the SmartNodes Project. It builds on the findings in earlier iterations by introducing topologically constrained node forms that marry the principals of the evolved optimised node shape with topological constraints imposed to meet the printing challenges. The 4m high canopy scale prototype structure in this early design research iteration represents the node forms using plastic Fused Deposition Modelling (FDM).
keywords	Digital Fabrication; Additive Manufacturing; File to Factory; Design Optimisation; 3D printing for construction
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2017_050
id	ecaade2017_050
authors	Cursi, Stefano, Simeone, Davide and Coraglia, Ugo Maria
year	2017
title	An ontology-based platform for BIM semantic enrichment
doi	https://doi.org/10.52842/conf.ecaade.2017.2.649
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 649-656
summary	In its application to design phases, BIM has progressively shown limits in terms of semantic representation and efficiency of supporting collaboration. This paper investigates the possibilities related to BIM representation enrichment through semantic web approaches, in order to represent knowledge rather than information and presents a prototypal application oriented to the integration of the informative model of the building with a knowledge base developed by means of ontologies, providing a more structured system of interconnected information.
keywords	BIM; Semantic enrichment; Knowledge Management; Ontologies
series	eCAADe
email
last changed	2022/06/07 07:56

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