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	ecaade2020_432
id	ecaade2020_432
authors	Fragkia, Vasiliki and Worre Foged, Isak
year	2020
title	Methods for the Prediction and Specification of Functionally Graded Multi-Grain Responsive Timber Composites
doi	https://doi.org/10.52842/conf.ecaade.2020.2.585
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 585-594
summary	The paper presents design-integrated methods for high-resolution specification and prediction of functionally graded wood-based thermal responsive composites, using machine learning. The objective is the development of new circular design workflow, employing robotic fabrication, in order to predict fabrication files linked to material performance and design requirements, focused on application for intrinsic responsive and adaptive architectural surfaces. Through an experimental case study, the paper explores how machine learning can form a predictive design framework where low-resolution data can solve material systems at high resolution. The experimental computational and prototyping studies show that the presented image-based machine learning method can be adopted and adapted across various stages and scales of architectural design and fabrication. This in turn allows for a design-per-requirement approach that optimizes material distribution and promotes material economy.
keywords	material specification; responsive timber composites; machine learning; robotic fabrication; building envelopes
series	eCAADe
email
last changed	2022/06/07 07:50

_id	ecaade2020_183
id	ecaade2020_183
authors	Zhao, Jiangyang, Lombardi, Davide and Agkathidis, Asterios
year	2020
title	Application of Robotic Technologies for the Fabrication Of Traditional Chinese Timber Joints
doi	https://doi.org/10.52842/conf.ecaade.2020.2.351
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 351-360
summary	The traditional Chinese building design was influenced by the climate and the sociogeographical conditions of the different regions in China. They were usually constructed out of wood relying on timber-joint based construction systems. Amongst the wide variety of the structural elements, the Dougong (bucket arch) is one of the most common components of traditional wooden framework buildings, presenting a high level of complexity. Parametric design and robotic technology enable new possibilities regarding its fabrication and application in contemporary architecture. Our paper will explore how the Dougong components could be reinvented through the use of parametric tools and robotic fabrication methods and thus applied to contemporary architectural structures. We will analyse and compare the properties of the original Dougong with the reinvented unit by using finite element analysis and digital optimization tools. Our findings will provide an insight into the traditional construction principles of the joint and how these can inform a design and fabrication framework for its application in contemporary buildings.
keywords	Dougong joint; timber structures; parametric design; robotic fabrication; optimization algorithm
series	eCAADe
email
last changed	2022/06/07 07:57

_id	acadia20_114p
id	acadia20_114p
authors	Zivkovic, Sasa; Havener, Brian; Battaglia, Christopher
year	2020
title	Log Knot
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. 114-119.
summary	Log Knot, developed by the Robotic Construction Laboratory (RCL) at Cornell University, is a robotically fabricated architectural installation that establishes a method for variable compound timber curvature creation utilizing both regular and irregular roundwood geometries. Moreover, the project develops methods for minimal formwork assembly and moment force optimization of customized mortise and tenon joints. Following the logic of a figure-8 knot, the project consists of an infinite loop of roundwood, curving three-dimensionally along its length. There are a variety of techniques to generate single curvature in wood structures – such as steam bending (Wright et al., 2013) or glue lamination (Issa and Kmeid, 2005) – but only a few techniques to generate complex curvature from raw material within a single wooden structural element exist. To construct complex curvature, the research team developed a simple method that can easily be replicated. First, the log is compartmentalized, establishing a series of discrete parts. Second, the parts are reconfigured into a complex curvature “whole” by carefully manipulating the assembly angles and joints between the logs. Timber components reconfigured in such a manner can either follow planar curvature profiles or spatial compound curvature profiles. Based on knowledge gained from the initial joinery tests, the research team developed a custom tri-fold mortise and tenon joint, which is self-supportive during assembly and able to resist bending in multiple directions. Using the tri-fold mortise and tenon joint, a number of full-scale prototypes were created to test the structural capacity of the overall assembly. Various structural optimization protocols are deployed in the Log Knot project. While the global knot form is derived from spatial considerations – albeit within the structurally sound framework of a closed-loop knot structure – the project is structurally optimized at a local level, closely calibrating structural cross-sections, joinery details, and joint rotation in relation to prevailing load conditions.
series	ACADIA
type	project
email
last changed	2021/10/26 08:03

_id	ijac202018304
id	ijac202018304
authors	Aagaard, Anders Kruse and Niels Martin Larsen
year	2020
title	Developing a fabrication workflow for irregular sawlogs
source	International Journal of Architectural Computing vol. 18 - no. 3, 270-283
summary	In this article, we suggest using contemporary manufacturing technologies to integrate material properties with architectural design tools, revealing new possibilities for the use of wood in architecture. Through an investigative approach, material capacities and fabrication methods are explored and combined towards establishing new workflows and architectural expressions, where material, fabrication and result are closely interlinked. The experimentation revolves around discarded, crooked oak logs, doomed to be used as firewood due to their irregularity. This project treats their diverging shapes differently by offering unique processing to each log informed by its particularities. We suggest here a way to use the natural forms and properties of sawlogs to generate new structures and spatial conditions. In this article, we discuss the scope of this approach and provide an example of a workflow for handling the discrete shapes of natural sawlogs in a system that involve the collection of material, scanning/digitisation, handling of a stockpile, computer analysis, design and robotic manufacturing. The creation of this specific method comes from a combination of investigation of wood as a material, review of existing research in the field, studies of the production lines in the current wood industry and experimentation through our in-house laboratory facilities. As such, the workflow features several solutions for handling the complex and different shapes and data of natural wood logs in a highly digitised machining and fabrication environment. This up-cycling of discarded wood supply establishes a non-standard workflow that utilises non-standard material stock and leads to a critical articulation of today’s linear material economy. The project becomes part of an ambition to reach sustainable development goals and technological innovation in global and resource-intensive architecture and building industry.
keywords	Natural wood, robotic fabrication, computation, fabrication, research by design
series	journal
email
last changed	2020/11/02 13:34

_id	caadria2020_082
id	caadria2020_082
authors	Cheng, Celine and Pelosi, Antony
year	2020
title	Connecting Timber Sheet Materials to Create a Self-Supporting Structure using Robotic Fabrication and Computational Tools
doi	https://doi.org/10.52842/conf.caadria.2020.1.085
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 85-94
summary	The research developed in this paper is the workflow to create a self-supporting structure from sheet materials using robotic fabrication and computational tools. This research focuses on timber sheet materials, as timber is a material that can be altered in a variety of ways. Japanese timber connections were a strong influence for this research, due to its prolonged lifespan and sustainable advantages. In the past, timber fabrication techniques have been limited due to design limitations. This research explored how current technology, specifically parametric software combined with robotic fabrication, can create timber connections to connect sheet materials at different angles. This method was utilised to repurpose the concept of sheet materials towards a complex structure, which adopted the idea of mass customisation over mass production. This can help reshape the future of architecture through the use of advancing technology and sustainable assembly techniques using timber to timber joints.
keywords	Architecture; Robotic Fabrication; Timber; Parametric Design
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2020_149
id	caadria2020_149
authors	Larsen, Niels Martin, Aagaard, Anders Kruse and Kieffer, Lynn Hyun
year	2020
title	Digital Workflows for Natural Wood in Constructions
doi	https://doi.org/10.52842/conf.caadria.2020.1.125
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 125-134
summary	This research challenges current linear processing methods for standardised timber. The current industry does not leave room for irregular shapes of naturally grown wood. This paper describes a bespoke design and fabrication method that leverages these natural irregularities of the wood. The customised development of a digital tool allows the distribution of the non-standard material to form a structure and the associated robotic machining processes of the individual logs. This research seeks to motivate a more inclusive, diverse and sensitive culture of processing and building with wood while exploring the unique aesthetic qualities of non-standardised wood.
keywords	robotic fabrication; digital workflows; wood processing
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	acadia20_176p
id	acadia20_176p
authors	Lok, Leslie; Zivkovic, Sasa
year	2020
title	Ashen Cabin
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. 176-181
summary	Ashen Cabin, designed by HANNAH, is a small building 3D-printed from concrete and clothed in a robotically fabricated envelope made of irregular ash wood logs. From the ground up, digital design and fabrication technologies are intrinsic to the making of this architectural prototype, facilitating fundamentally new material methods, tectonic articulations, forms of construction, and architectural design languages. Ashen Cabin challenges preconceived notions about material standards in wood. The cabin utilizes wood infested by the Emerald Ash Borer (EAB) for its envelope, which, unfortunately, is widely considered as ‘waste’. At present, the invasive EAB threatens to eradicate most of the 8.7 billion ash trees in North America (USDA, 2019). Due to their challenging geometries, most infested ash trees cannot be processed by regular sawmills and are therefore regarded as unsuitable for construction. Infested and dying ash trees form an enormous and untapped material resource for sustainable wood construction. By implementing high precision 3D scanning and robotic fabrication, the project upcycles Emerald-Ash-Borer-infested ‘waste wood’ into an abundantly available, affordable, and morbidly sustainable building material for the Anthropocene. Using a KUKA KR200/2 with a custom 5hp band saw end effector at the Cornell Robotic Construction Laboratory (RCL), the research team can saw irregular tree logs into naturally curved boards of various and varying thicknesses. The boards are arrayed into interlocking SIP façade panels, and by adjusting the thickness of the bandsaw cut, the robotically carved timber boards can be assembled as complex single curvature surfaces or double-curvature surfaces. The undulating wooden surfaces accentuate the building’s program and yet remain reminiscent of the natural log geometry which they are derived from. The curvature of the wood is strategically deployed to highlight moments of architectural importance such as windows, entrances, roofs, canopies, or provide additional programmatic opportunities such as integrated shelving, desk space, or storage.
series	ACADIA
type	project
email
last changed	2021/10/26 08:08

_id	ecaade2020_398
id	ecaade2020_398
authors	Menashe, Omri, Peters, Brady and Sain, Mohini
year	2020
title	Cellulosic Architecture
doi	https://doi.org/10.52842/conf.ecaade.2020.1.593
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 593-600
summary	Humanity is currently facing an environmental crisis driven by our reliance on fossil fuels and our indiscriminate use of global resources. To address this we investigate the development of a sustainable new material, nano-cellulose. Nano-fibrillated Cellulose (NFC) is a highly renewable material processed from wood fibres. In this research we present a new method for processing renewable Nano-fibrillated Cellulose into a bulk material. Presently, traditional wood fibre is utilized extensively; it is used in the production of paper, clothing, and buildings. This research asks if wood fibre could be utilized in applications that go beyond its traditional uses? Using an iterative approach, the research reveals the challenges of working directly in the processing and production of nano-fibrillated cellulose, a high-performance bio-polymer requiring no adhesives and no petrochemicals as a finished product. The paper presents these experiments and discusses the feasibility for using nano-cellulose in building products.
keywords	Nano-fibrillated Cellulose, Bio-Polymers; Lightweight Architectural Structures, Structural Hierarchy, Material Processing; High Performance Biodegradable
series	eCAADe
email
last changed	2022/06/07 07:58

_id	sigradi2020_291
id	sigradi2020_291
authors	Quitral-Zapata, Francisco Javier; González-Böhme, Luis Felipe; García-Alvarado, Rodrigo; Martínez-Rocamora, Alejandro
year	2020
title	Workflow for a Timber Joinery Robotics
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 291-296
summary	We present a novel workflow for timber joinery robotics in low-rise building construction. A parametric 3D model that associates architectural design, structure geometry and robotic fabrication information was implemented using only CAD-based visual robot programming. Our case study is the design and manufacturing process of a two-story timber-framed dwelling. The main frames of the structure were assembled with mortise and tenon timber joints machined in glue-laminated timber using a 7-axis industrial robot in a wood company. This pioneering experience aims to apply timber framing robotics to social housing in emerging countries.
keywords	Robots in architecture, Robotic timber construction, Timber framing, Timber Joinery Robotics, Visual robot programming
series	SIGraDi
email
last changed	2021/07/16 11:49

_id	acadia20_516
id	acadia20_516
authors	Aghaei Meibodi, Mania; Voltl, Christopher; Craney, Ryan
year	2020
title	Additive Thermoplastic Formwork for Freeform Concrete Columns
doi	https://doi.org/10.52842/conf.acadia.2020.1.516
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. 516-525.
summary	The degree of geometric complexity a concrete element can assume is directly linked to our ability to fabricate its formwork. Additive manufacturing allows fabrication of freeform formwork and expands the design possibilities for concrete elements. In particular, fused deposition modeling (FDM) 3D printing of thermoplastic is a useful method of formwork fabrication due to the lightweight properties of the resulting formwork and the accessibility of FDM 3D printing technology. The research in this area is in early stages of development, including several existing efforts examining the 3D printing of a single material for formwork— including two medium-scale projects using PLA and PVA. However, the performance of 3D printed formwork and its geometric complexity varies, depending on the material used for 3D printing the formwork. To expand the existing research, this paper reviews the opportunities and challenges of using 3D printed thermoplastic formwork for fabricating custom concrete elements using multiple thermoplastic materials. This research cross-references and investigates PLA, PVA, PETG, and the combination of PLA-PVA as formwork material, through the design and fabrication of nonstandard structural concrete columns. The formwork was produced using robotic pellet extrusion and filament-based 3D printing. A series of case studies showcase the increased geometric freedom achievable in formwork when 3D printing with multiple materials. They investigate the potential variations in fabrication methods and their print characteristics when using different 3D printing technologies and printing materials. Additionally, the research compares speed, cost, geometric freedom, and surface resolution.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia20_202p
id	acadia20_202p
authors	Battaglia, Christopher A.; Verian, Kho; Miller, Martin F.
year	2020
title	DE:Stress Pavilion
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. 202-207
summary	Print-Cast Concrete investigates concrete 3D printing utilizing robotically fabricated recyclable green sand molds for the fabrication of thin shell architecture. The presented process expedites the production of doubly curved concrete geometries by replacing traditional formwork casting or horizontal corbeling with spatial concrete arching by developing a three-dimensional extrusion path for deposition. Creating robust non-zero Gaussian curvature in concrete, this method increases fabrication speed for mass customized elements eliminating two-part mold casting by combining robotic 3D printing and extrusion casting. Through the casting component of this method, concrete 3D prints have greater resolution along the edge condition resulting in tighter assembly tolerances between multiple aggregated components. Print-Cast Concrete was developed to produce a full-scale architectural installation commissioned for Exhibit Columbus 2019. The concrete 3D printed compression shell spanned 12 meters in length, 5 meters in width, and 3 meters in height and consisted of 110 bespoke panels ranging in weight of 45 kg to 160 kg per panel. Geometrical constraints were determined by the bounding box of compressed sand mold blanks and tooling parameters of both CNC milling and concrete extrusion. Using this construction method, the project was able to be assembled and disassembled within the timeframe of the temporary outdoor exhibit, produce <1% of waste mortar material in fabrication, and utilize 60% less material to construct than cast-in-place construction. Using the sand mold to contain geometric edge conditions, the Print-Cast technique allows for precise aggregation tolerances. To increase the pavilions resistance to shear forces, interlocking nesting geometries are integrated into each edge condition of the panels with .785 radians of the undercut. Over extruding strategically during the printing process casts the undulating surface with accuracy. When nested together, the edge condition informs both the construction logic of the panel’s placement and orientation for the concrete panelized shell.
series	ACADIA
type	project
email
last changed	2021/10/26 08:08

_id	acadia20_526
id	acadia20_526
authors	Bruce, Mackenzie; Clune, Gabrielle; Culligan, Ryan; Vansice, Kyle; Attraya, Rahul; McGee, Wes; Yan Ng, Tsz
year	2020
title	FORM{less}
doi	https://doi.org/10.52842/conf.acadia.2020.1.526
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. 526-535
summary	Form{less} focuses on the creation of complex thin-shell concrete forms using robotically thermoformed plastic molds. Typically, similar molds would be created using the vacuum forming process, producing direct replications of the pattern. Creating molds with this process is not only time- and material-intensive but also costly if customization is involved. Thin-shell concrete forms often require a labor-intensive process of manually finishing the open-face surface. The devised process of thermoforming two nested molds allows the concrete to be cast in between, with finished surfaces on both sides. Molds made with polyethylene terephthalate glycol (PETG) allow the formwork to be reused and recycled. The research and fabrication work include the development of heating elements and the creation of the robotic process for forming the PETG. The PETG is manipulated via a robotic arm, with a custom magnetic end effector. The integration of robotics not only enables precision for manufacturing but also allows for replicability with unrestricted threedimensional deformation. The repeatable process allows for rapid prototyping and geometric customization. Design options are then simulated computationally using SuperMatterTools, enabling further design exploration of this process without the need for extensive physical prototyping. This research aims to develop a process that allows for the creation of complex geometries while reducing the amount of material waste used for concrete casting. The novelty of the process created by dynamically forming PETG allows for quick production of formwork that is both customizable and replicable. This method of creating double-sided building components is simulated at various scales of implementation.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	cdrf2019_57
id	cdrf2019_57
authors	Caitlyn Parry and Sean Guy
year	2020
title	Recycling Construction Waste Material with the Use of AR
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_6
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary	This paper aims to present a methodology for reusing and recycling scrap timber from building sites using augmented reality and flexible digital models. The project we present describes a process that enables existing material to be reused and repurposed such that the designed model is updated by the digital inventory of digitised offcuts/waste elements.
series	cdrf
email
last changed	2022/09/29 07:51

_id	acadia20_604
id	acadia20_604
authors	Craney, Ryan; Adel, Arash
year	2020
title	Engrained Performance
doi	https://doi.org/10.52842/conf.acadia.2020.1.604
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. 604-613.
summary	This project presents a novel fabrication-aware and performance-driven computational design method that facilitates the design and robotic fabrication of a wood shingle facade system. The research merges computational design, robotic fabrication, and building facade optimization into a seamless digital design-to-fabrication workflow. The research encompasses the following topics: (1) a constructive system integrating the rules, constraints, and dependencies of conventional shingle facades; (2) an integrative computational design method incorporating material, robotic fabrication, and assembly constraints; (3) an optimization method for facade sun shading; and (4) a digital design-to-fabrication workflow informing the robotic fabrication procedures. The result is an integrative computational design method for the design of a wood shingle facade. Environmental analysis and multi-objective optimization are coupled with a variable facade surface to produce several optimal design solutions that conform to the constraints of the robotic setup and constructive system. When applied to architectural design, the proposed integrative computational design method demonstrates significant improvements in facade sun-shading performance while also linking the digital design to the fabrication process.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	cdrf2019_36
id	cdrf2019_36
authors	Dan Luo, Joseph M. Gattas, and Poah Shiun Shawn Tan
year	2020
title	Real-Time Defect Recognition and Optimized Decision Making for Structural Timber Jointing
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_4
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
summary	Non-structural or out-of-grade timber framing material contains a large proportion of visual and natural defects. A common strategy to recover usable material from these timbers is the marking and removing of defects, with the generated intermediate lengths of clear wood then joined into a single piece of fulllength structural timber. This paper presents a novel workflow that uses machine learning based image recognition and a computational decision-making algorithm to enhance the automation and efficiency of current defect identification and rejoining processes. The proposed workflow allows the knowledge of worker to be translated into a classifier that automatically recognizes and removes areas of defects based on image capture. In addition, a real-time optimization algorithm in decision making is developed to assign a joining sequence of fragmented timber from a dynamic inventory, creating a single piece of targeted length with a significant reduction in material waste. In addition to an industrial application, this workflow also allows for future inventory-constrained customizable fabrication, for example in production of non-standard architectural components or adaptive reuse or defect-avoidance in out-of-grade timber construction.
series	cdrf
email
last changed	2022/09/29 07:51

_id	acadia20_464
id	acadia20_464
authors	Elberfeld, Nathaniel; Tessmer, Lavender; Waller, Alexandra
year	2020
title	A Case for Lace
doi	https://doi.org/10.52842/conf.acadia.2020.1.464
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. 464-473.
summary	Textiles and architecture share a long, intertwined history from the earliest enclosures to contemporary high-tech tensile structures. In the Four Elements of Architecture, Gottfried Semper (2010) posited wickerwork and carpet enclosures to be the essential origins of architectural space. More recently, architectural designers are capitalizing on the characteristics of textiles that are difficult or impossible to reproduce with other material systems: textiles are pliable, scalable, and materially efficient. As industrial knitting machines join robotic systems in architecture schools with fabrication- forward agendas, much of the recent developments in textile-based projects make use of knitting. In this paper, we propose an alternative textile technique, lacemaking, for architectural fabrication. We present a method for translating traditional lacemaking techniques to an architectural scale and explore its relative advantages over other textiles. In particular, we introduce bobbin lace and describe its steps both in traditional production and at an architectural scale. We use the unique properties of bobbin lace to form workflows for fabrication and computational analysis. An example of computational analysis demonstrates the ability to optimize lace-based designs towards particular labor objectives. We discuss opportunities for automation and consider the broader implications of understanding a material system relative to the cost of labor to produce designs using it.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2020_131
id	ecaade2020_131
authors	Gortazar-Balerdi, Ander and Markusiewicz, Jacek
year	2020
title	Legible Bilbao - Computational method for urban legibility
doi	https://doi.org/10.52842/conf.ecaade.2020.1.209
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 209-218
summary	Legibility is a core concept in spatial cognition theories since Kevin Lynch published The Image of the City in 1960. It is the ability of a city to be interpreted and easily used, travelled and enjoyed, from the pedestrian's perspective. Following a proposal in the participatory budget process of the city of Bilbao, we wrote a technical report to improve the urban legibility of the city and facilitate wayfinding through innovations in signage. This paper aims to present this project, which is an application of computational methods to measure urban legibility that resulted in a proposal for a new wayfinding strategy for Bilbao. The method is based on GIS data, and it simulates urban processes using dedicated algorithms, allowing us to perform two analyses that resulted in two overlapping maps: a heat map of decision points and a map of visual openings. It allowed us to perceive common urban elements that can help to decide both the location of the wayfinding signage and how it should provide the relevant information. In addition, the research introduces the concept of anticipation points, as a complement to the existing idea of decision points.
keywords	Wayfinding; Urban legibility; Spatial cognition
series	eCAADe
email
last changed	2022/06/07 07:51

_id	acadia20_658
id	acadia20_658
authors	Ho, Brian
year	2020
title	Making a New City Image
doi	https://doi.org/10.52842/conf.acadia.2020.1.658
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. 658-667.
summary	This paper explores the application of computer vision and machine learning to streetlevel imagery of cities, reevaluating past theory linking urban form to human perception. This paper further proposes a new method for design based on the resulting model, where a designer can identify areas of a city tied to certain perceptual qualities and generate speculative street scenes optimized for their predicted saliency on labels of human experience. This work extends Kevin Lynch’s Image of the City with deep learning: training an image classification model to recognize Lynch’s five elements of the city image, using Lynch’s original photographs and diagrams of Boston to construct labeled training data alongside new imagery of the same locations. This new city image revitalizes past attempts to quantify the human perception of urban form and improve urban design. A designer can search and map the data set to understand spatial opportunities and predict the quality of imagined designs through a dynamic process of collage, model inference, and adaptation. Within a larger practice of design, this work suggests that the curation of archival records, computer science techniques, and theoretical principles of urbanism might be integrated into a single craft. With a new city image, designers might “see” at the scale of the city, as well as focus on the texture, color, and details of urban life.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2020_078
id	caadria2020_078
authors	Joyce, Gabriella and Pelosi, Antony
year	2020
title	Robotic Connections for CLT Panels
doi	https://doi.org/10.52842/conf.caadria.2020.2.403
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 403-412
summary	In a climate where standard methods of construction are being challenged, developments in engineered timbers are allowing mass timber construction to be explored as a sustainable alternative to current building methods that can change the future of the built environment. Cross-laminated timber (CLT) is at the forefront of this evolution and, with the advancement in computational design and digital fabrication tools, there lies an opportunity to redefine standard construction. This project creates connections inspired by traditional Japanese joinery that have been adapted to be used for the panel construction of CLT structures. Using a combination of digital modelling and advanced digital fabrication, the project utilizes CLT offcuts as a primary connection material. The system not only reduces waste but also mitigates thermal bridging and lowers the number of connection points whilst increasing the ease of building and fabrication. Connection systems are designed and prototyped using a robotic arm and are then evaluated within the context of a building scale and considers largeâ€scale fabrication and onâ€site assembly whilst continuing to focus on the reduction of waste.
keywords	Robotics; CLT; Connections; Waste; Timber
series	CAADRIA
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last changed	2022/06/07 07:52

_id	ecaade2020_113
id	ecaade2020_113
authors	Li, Yunqin, Yabuki, Nobuyoshi, Fukuda, Tomohiro and Zhang, Jiaxin
year	2020
title	A big data evaluation of urban street walkability using deep learning and environmental sensors - a case study around Osaka University Suita campus
doi	https://doi.org/10.52842/conf.ecaade.2020.2.319
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 319-328
summary	Although it is widely known that the walkability of urban street plays a vital role in promoting street quality and public health, there is still no consensus on how to measure it quantitatively and comprehensively. Recent emerging deep learning and sensor network has revealed the possibility to overcome the previous limit, thus bringing forward a research paradigm shift. Taking this advantage, this study explores a new approach for urban street walkability measurement. In the experimental study, we capture Street View Picture, traffic flow data, and environmental sensor data covering streets within Osaka University and conduct both physical and perceived walkability evaluation. The result indicates that the street walkability of the campus is significantly higher than that of municipal, and the streets close to large service facilities have better walkability, while others receive lower scores. The difference between physical and perceived walkability indicates the feasibility and limitation of the auto-calculation method.
keywords	walkability; WalkScore; deep learning; Street view picture; environmental sensor
series	eCAADe
email
last changed	2022/06/07 07:51

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