Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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

_id	ecaadesigradi2019_346
id	ecaadesigradi2019_346
authors	Kaftan, Martin, Sautter, Sebastian and Kubicek, Bernhard
year	2019
title	Integrating BIPV during Early Stages of Building Design
doi	https://doi.org/10.52842/conf.ecaade.2019.2.139
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 139-144
summary	In the quest to achieve the ambitious climate and clean energy targets the broad implementation of Integrated Photovoltaics (BIPV) is one of the keys. Photovoltaic (PV) modules can be installed above or on current roofing or traditional wall structures. In addition, BIPV devices substitute the skin of the exterior construction frame, i.e. the weather screen, thus simultaneously acting as both a climate screen and an energy producing source. However, while the integral planning strategy to building projects promotes the effective execution of BIPV, the limitation lies in the absence of both instruments and easy-to-use planning aid guidelines, particularly by non-PV experts in the early design stage. This study presents computational methods that help to quickly analyze the BIPV potential for a given building project and to suggest the optimal economical amount and location of the panels based on the building's energy demand profile.
keywords	building integrated photovoltaic (BIPV); integral planning; design rules; simplified models; machine learning
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

_id	acadia19_616
id	acadia19_616
authors	Sitnikov, Vasily; Eigenraam, Peter; Papanastasis, Panagiotis; Wassermann-Fry, Stephan
year	2019
title	IceFormwork for Cast HPFRC Elements
doi	https://doi.org/10.52842/conf.acadia.2019.616
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. 616-627
summary	The following paper introduces a design implementation of an innovative fabrication method that aims at enabling an environmental and automated production of geometrically challenging cast concrete elements. The fabrication method is based on the use of ice as the molding material for cast concrete. Empirical testing of ice CNC-processing, and a concrete mix capable of hardening at subzero temperatures was undertaken during previous research stages. The current paper illustrates a practical application of ice formwork. A façade rain screen has been developed using algorithmic modeling to illustrate a common case in which a non-repetitive geometrical pattern requires individual formwork to be produced for each element. Existing industrial methods capable of delivering such a project for formidable costs are based on CNC-processed expanded polystyrene (EPS), wood-based materials, or industrial wax formwork. These materials have been found to be either difficult to recycle, expensive, insufficiently strong, energy- or labor-intensive to produce. Preliminary evaluation has shown that ice, used in their place, facilitates a much cleaner, economic, and an even more energy-efficient process. Moreover, a very gentle demolding process through ice-thawing eliminates any shock stresses exposed on newly cast concrete and provides optimal curing conditions. As a result, the thickness of façade elements can be reduced while still fulfilling all structural requirements.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:56

_id	ecaadesigradi2019_359
id	ecaadesigradi2019_359
authors	Tsikoliya, Shota, Kovaøík, David, Vasko, Imro, Garajová, Petra, Varga, Adam and Osifová, Marketa
year	2019
title	InFoamed Matter - Robotic production and assembly of foam-injected structures
doi	https://doi.org/10.52842/conf.ecaade.2019.2.235
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 235-240
summary	Project InFoamed Matter works with foam and explores the internal logic of the material and develops a construction system based on fluidity and expansion. The basic unit of the system consists of two elements, that continuously exchange their roles in the construction process - the frame (controlling element made of paper or, in later development, from glass or carbon fiber cured in epoxy resin) and the expander (filling element consisting of 2k polyurethane foam). The expander fills up voids within the frame. While initially only the frame plays crucial structural role within a system, the expander being a filling element, eventually the hardening process switches the roles, hardened expander being the structural core and the frame being a form-defining tool. In later development, fiber frame creates a composite together with hardened expander, being able to resist both tension and compression forces. Project further proposes computational model, which generates positions and orientations for placing further components as well as a robotic fiber laying, assembly and injection system, which leads to novel automated construction system based on material behavior.
keywords	robotic fabrication; foam; materiality; robotic assembly
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:57

_id	caadria2019_546
id	caadria2019_546
authors	Holzer, Dominik
year	2019
title	Teaching Computational Design and BIM in the Age of (Semi)flipped Classrooms
doi	https://doi.org/10.52842/conf.caadria.2019.2.715
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 715-724
summary	With academic curricula for architectural education increasingly packed with new and expanding fields of inquiry, questions emerge on how to incorporate the ever-growing number of subjects that tackle the use of computational tools for design and delivery. This paper analyses approaches to blended learning under a semi-flipped classroom model where learning content gets divided into complementary in-class and online components. The author describes the epistemological challenges in curating the blended-learning mix and discusses ways to optimise learning outcomes while minimising the effort for custom content-development of training material. Two subjects taught at the author's home institution (one in Computational Design and the other for BIM education) serve as case studies to test the flipped classroom approach and to derive feedback from students about their preferred method of delivery.
keywords	BIM; Flipped-Classroom; Computational Design; Education; Online learning
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	acadia19_50
id	acadia19_50
authors	Ibrahim, Nazim; Joyce, Sam Conrad
year	2019
title	User Directed Parametric Design for Option Exploration
doi	https://doi.org/10.52842/conf.acadia.2019.050
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. 50-59
summary	The potential of parametric associative models to explore large ranges of different designs is limited by our ability to manually create and modify them. While computation has been successfully used to generate variations by optimizing input parameters, adding or changing ‘components’ and ‘links’ of these models has typically been manual and human driven. The intellectual overhead and challenges of manually creating and maintaining complex parametric models has limited their usefulness in early stages of design exploration, where a quicker and wider design search is preferred. Recent methods called Meta Parametric Design using Cartesian Genetic Programming (CGP) specifically tailored to operate on parametric models, allows computational generation and topological modification for parametric models. This paper proposes the refinement of Meta Parametric techniques to quickly generate and manipulate models with a higher level of control than existing; enabling a more natural human centric user-directed design exploration process. Opening new possibilities for the computer to act as a co-creator: able to generate its own novel solutions, steered at a high-level by user(s) and able to develop convergent or divergent solutions over an extended interaction session, replicating in a faster way a human design assistant.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:50

_id	acadia19_150
id	acadia19_150
authors	Wong, Nichol Long Hin; Crolla, Kristo
year	2019
title	Simplifying Catenary Wood Structures
doi	https://doi.org/10.52842/conf.acadia.2019.150
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. 150-155
summary	This work-in-progress action research paper describes the development of a novel computation-driven design method for low-tech producible, structurally optimized, suspended wooden roofs based on near catenary-shaped glue-laminated beams. The paper positions itself in a post-digital architectural context with as goal to introduce recent technological advances into developing construction contexts characterized by limited production means. The paper starts by evaluating the pre-existing practical, procedural, and economic drivers behind the design and fabrication of curved glue-laminated beams—one of the most ecologically sustainable structural elements commonly available. A method is proposed that employs genetic algorithms to simplify the fabrication of a suspended roof structure’s range of weight-saving, catenary shaped beams. To minimize the number of costly high-strength steel pressure vise setups required for their individual production, idealized curve geometries are minimally tweaked until a single, reusable jig setup becomes possible. When combined with a wooden roof underfloor, tectonic systems that employ such beams have the potential to dramatically reduce structure material requirements while producing architecturally engaging and spatially complex nonstandard space. The method’s validity, applicability, and architectural design opportunity space is tested, evaluated, and discussed through a conceptual architectural design project proposal that operates as demonstrator. The paper concludes by addressing future research directions and architectural advantages that the proposed design and fabrication methodology brings, especially for developing construction contexts with limited access to digital fabrication technology.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:57

_id	ecaadesigradi2019_210
id	ecaadesigradi2019_210
authors	Castriotto, Caio, Giantini, Guilherme and Celani, Gabriela
year	2019
title	Biomimetic Reciprocal Frames - A design investigation on bird's nests and spatial structures
doi	https://doi.org/10.52842/conf.ecaade.2019.1.613
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 613-620
summary	Reciprocal Frame (RF) is a constructive system typically applied with timber, since it is composed by discrete elements with short dimensions. It allows the construction of large spans and complex geometries. This kind of structure has been addressed by recent research projects that aim to produce it using computational tools and digital fabrication techniques. Moreover, the enhancement of these technologies enabled the integration of simulations of biological processes into the design process as a way to obtain better and optimal results, which is known as Biomimetics. This paper describes the development of a spatial structure that combines the principles of RF and the assembly process of natural agents, such as birds, in a digital environment. The tools used for the generation of the structure were Rhinoceros, Grasshopper and different add-ons, such as Culebra, Kangaroo, Pufferfish and Weaverbird.
keywords	Biomimetics; Reciprocal Frame; Nexorade; Computational Design; Agent-Based System
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	cf2019_002
id	cf2019_002
authors	De Luca, Francesco
year	2019
title	Environmental Performance-Driven Urban Design Parametric Design Method for the Integration of Daylight and Urban Comfort Analysis in Cold Climates
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 21
summary	Shape of built environment and image of cities are significantly influenced by environmental factors such as access to natural light, air temperature and wind. Adequate quantity of daylight in building interiors is important for occupant wellbeing and energy saving. In Estonia minimum quantity of daylight is required by building standards. Wind speed increased by urban environment at northern latitudes can significantly reduce pedestrian perceived temperature during winter inducing strong cold stress. This paper presents a method for the integration of parametric modeling and environmental simulations to analyze interiors and exteriors comfort of tower building cluster variations in different urban areas in Tallinn. Optimal pattern characteristics such as buildings distance and alignment favoring improvement of interiors daylight and decrease of pedestrian cold stress are presented and discussed.
keywords	Daylight, Urban Comfort, Environmental Analysis, PerformanceDriven Urban Design, Parametric Design
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	caadria2019_172
id	caadria2019_172
authors	G. BelÃ©m, Catarina and LeitÃ£o, AntÃ³nio
year	2019
title	Conflicting Goals in Architecture - A study on Multi-Objective Optimisation
doi	https://doi.org/10.52842/conf.caadria.2019.1.453
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 453-462
summary	Sustainability and economic factors are driving architectural practice towards more efficient designs. The application of optimization to the design process becomes essential to reduce the environmental footprint of buildings, as well as to reduce their costs. Building design requirements tend to be conflicting, involving the optimization of multiple goals simultaneously, which often translates to different compromises among the goals. Ideally, to make more informed and intelligent decisions, the architect should be given a set of design variations representing a heterogeneous sample of the optimal compromises one can achieve. In this paper, we discuss different approaches to find such compromises and we focus on multi-objective optimization algorithms that produce the required design variants, applying them in the context of an architectural case study.
keywords	Multi-Objective Optimization; Pareto Optimization
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2019_326
id	caadria2019_326
authors	Lai, Po Yan, Kim, Meereh, Choi, Minkyu, Lee, Chae-Seok, Porcellini, Valentin, Yi, Taeha and Lee, Ji-Hyun
year	2019
title	Framework of Judgment System for Smart Home Assistant Utilizing Collective Intelligence Case-Based Reasoning
doi	https://doi.org/10.52842/conf.caadria.2019.1.695
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 695-704
summary	This paper proposes a framework of judgment system for smart home assistant that utilizes Collective Intelligence Case Based Reasoning (CI-CBR). CBR is suitable for the smart home environment with its system adaptability to the changeful user scenarios. However, existing CBR solutions have shown relatively low accuracy in service recommendation. This research therefore aims at enhancing the accuracy by introducing collective intelligence into the recommendation system. Assuming that multiple agents will make better decision than single agent, we adopted a multi-agent approach to generate the most similar case, which represents the optimal recommendation from the case base. This paper describes how our system enables agents adopting different similarity measures come to an agreement about the most similar case by the means of majority voting in the judging process. Our framework of a collective judgment system demonstrates its potentials to improve recommendation accuracy, and further enhance the performance of existing smart home assistants.
keywords	Collective Intelligence; Case Based Reasoning; Smart home; Service recommendation; Multi-agent system
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2019_360
id	caadria2019_360
authors	Luo, Lin and Liang, Jing
year	2019
title	Simulation Study on Heating and Cooling Energy-Saving Design of University Library Building Forms in the Severe Cold Region of China based on Honeybee and Ladybug
doi	https://doi.org/10.52842/conf.caadria.2019.1.725
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 725-735
summary	Based on the parametric simulation platform and tools, the paper studied the influence of building orientation, building size and window-to-wall ratio on heating and cooling energy consumption of the typical university library in the severe cold region of China. The study established the multiple linear regression models of form design parameters and heating and cooling energy consumption respectively, determined the weight of each parameter, proposed the optimal energy-saving orientation selection and form parameter groups. The energy-saving design strategies of the typical university library in the severe cold region were put forward from the three sub-aspects of building orientation, building size and window-to-wall ratio, and from a comprehensive point of view. The study provides effective support for energy consumption estimation in the stage of building form design, and has important practical significance for sustainable development of university buildings.
keywords	Energy-saving design; Heating and cooling energy consumption simulation; Form design parameters; University library; Severe cold region
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	cf2019_068
id	cf2019_068
authors	Md Rian, Iasef
year	2019
title	IFS-Based Computational Morphogenesis of a Hierarchical Trussed Beam
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 552-564
summary	This paper applies IFS (Iterated Function System) as a rule-based computational modeling process for modeling a hierarchical truss beam inspired by the concept of fractal geometry. IFS is a type of recursive algorithm, which repeatedly uses the outcome as a input for an affine transformation function in generating a fractal shape, i.e., a complex shape which contains the self-similar repetitions of the overall shape in its parts. Hierarchical trusses also follow a similar geometric configuration. IFS-based computational modeling, hence, allows us to parametrically morph a parent model, thus repeat the same morphing to all its self-similar parts automatically. This IFS-based morphogenesis opens a possibility to find an optimal configuration of a hierarchical truss structurally. In this parametric modeling process, the iteration number is a unique geometric parameter. This paper uses two geometric variables (iteration number and angle) to find the most efficient design of a hierarchical truss beam through an optimization process.
keywords	hierarchical truss, fractal geometry, IFS, computational design
series	CAAD Futures
email
last changed	2019/07/29 14:18

_id	ecaadesigradi2019_389
id	ecaadesigradi2019_389
authors	Mohite, Ashish, Kochneva, Mariia and Kotnik, Toni
year	2019
title	Speed of Deposition - Vehicle for structural and aesthetic expression in CAM
doi	https://doi.org/10.52842/conf.ecaade.2019.1.729
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 729-738
summary	This paper presents intermediate results of an experimental research directed towards development of a method that uses additive manufacturing technology as a generative agent in architectural design process. The primary technique is to variate speed of material deposition of a 3D printer in order to produce undetermined textural effects. These effects demonstrate local variation of material distribution, which is treated as a consequence of interaction between machining parameters and material properties. Current stage of inquiry is concerned with studying the impact of these textural artefacts on structure. Experiments demonstrate that manipulating distribution of matter locally results in more optimal structural performance, it solves printability issues of overhanging geometry without the need for additional supports and provides variation to the surface. The research suggests aesthetic and structural benefits of applying the developed method for mass-customized fabrication. It questions the linear thinking that is predominant in the field of 3D printing and provides an approach that articulates interaction between digital and material logics as it directs the formation of an object that is informed by both.
keywords	digital fabrication; digital craft; texture; ceramic 3D printing
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:58

_id	cf2019_012
id	cf2019_012
authors	Su, Zhouzhou
year	2019
title	Optimizing Spatial Adjacency in Hospital Master Planning
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 101
summary	Hospitals are one of the most complex building types. Each is comprised of a wide range of service areas and functional spaces. Spatial relationships comprise one of the most critical design criteria, to be considered early-on in the master planning stage. Proper adjacency contributes to shorter travel distances, better wayfinding, improved patient care, higher satisfaction, and reduced overall cost. However, there is a lack of research on the automatic generation of design solutions that can be applied to real-world hospital master planning projects. Moreover, given the complexity of hospital design, an optimization tool is needed that is capable of evaluating both machine- and human-generated solutions. This study proposes a rating system for evaluating existing plans and proposed designs in hospital master planning, and explores optimal design solutions through rapid computational simulations. The first stage of this work presents interviews with senior professionals in the industry to explore best practices regarding spatial relationships in hospital planning. The second stage describes an automatic analysis tool for ranking the design options generated by healthcare planners and examining optimal design solutions that feature the best spatial adjacencies. This tool was employed in a recent master planning project with over fifty programming spaces, in order to test its validity.
keywords	Optimization, Spatial Adjacency, Hospital Master Planning
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	ecaadesigradi2019_126
id	ecaadesigradi2019_126
authors	Szabo, Anna, Lloret-Fritschi, Ena, Reiter, Lex, Gramazio, Fabio, Kohler, Matthias and J. Flatt, Robert
year	2019
title	Revisiting Folded Forms with Digital Fabrication
doi	https://doi.org/10.52842/conf.ecaade.2019.2.191
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 191-200
summary	This paper discusses the potential of emerging digital fabrication techniques to produce material-efficient thin folded concrete structures. Although in the 50s and 60s folded structures provided a common optimal solution for spanning large distances without additional vertical supports, today, the number of these projects decreased significantly due to their complicated formworks and labour-intensive realization. Digital fabrication methods for concrete hold the promise to efficiently produce intricate folded mass-customized shapes with enhanced load-bearing capacity. This paper focuses on a robotic slip-forming process, Smart Dynamic Casting (SDC), to produce various thin-walled folded concrete elements with the same formwork providing smooth surface finish and gradual variations along the height. An empirical research methodology was applied to evaluate the fabrication feasibility of digitally designed thin folded geometries with one-to-one scale prototypes. Despite the discovered design limitations due to fabrication and material constraints, the exploration led to a new promising research direction, termed 'Digital Casting'.
keywords	folded structures; digital concrete; Smart Dynamic Casting; set on demand; Digital Casting
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	acadia20_148p
id	acadia20_148p
authors	Vansice, Kyle; Attraya, Rahul; Culligan, Ryan; Johnson, Benton; Sondergaard, Asbjorn; Peters, Nate
year	2020
title	Stereoform Slab
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. 148-153
summary	Stereoform Slab is both a pavilion and a prototype - an exhibition for the 2019 Chicago Architectural Biennial. It is an experiment in how digital form-finding and robotics can be leveraged to rethink the future of concrete construction. Stereoform Slab examines the role of one of the most ubiquitous horizontal elements in the city - the concrete slab, also the most common element in contemporary construction. Using smarter forming systems - in this case, a ruled-surface-derived, robotic hotwire process - the Stereoform Slab prototype proved that the amount of material used and waste generated could be minimized without increasing construction complexity, by about 20% over a conventional system. Stereoform also extends the conventional concrete span (column spacing), specifically in Chicago, from 30’ to 45’. In developing a concrete forming system that affords added flexibility without increasing construction costs, it is possible to reduce embodied carbon significantly. The method allows reducing carbon in buildings that aren’t typically the subject of advanced architectural design or rigorous optimization – conventional buildings that compose a majority of our built environment, and its respective contributions to global carbon emissions. Stereoform is the result of a multi-objective design optimization process. Optimal materialization, according to the compressive/tensile physics present in beam design, was balanced against the fabrication constraints of a singularly ruled-surface, which enables fast form-making using robotic hotwire cutting. SOM and Autodesk collaborated to mirror the approach developed to optimize Stereoform slab as a pavilion, to the building scale, using the multi-objective optimization platform Refinery. Project Refinery allowed the team to create a hyper-responsive system design that could adapt to any number of varying programmatic conditions and loading patterns. The development of this approach is a crucial step in making optimization techniques flexible enough to balance the number of competing parameters in the design process available and accessible to a broader design audience within architecture and engineering.
series	ACADIA
type	project
email
last changed	2021/10/26 08:03

_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	cdrf2021_286
id	cdrf2021_286
authors	Yimeng Wei, Areti Markopoulou, Yuanshuang Zhu,Eduardo Chamorro Martin, and Nikol Kirova
year	2021
title	Additive Manufacture of Cellulose Based Bio-Material on Architectural Scale
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_27
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	There are severe environmental and ecological issues once we evaluate the architecture industry with LCA (Life Cycle Assessment), such as emission of CO2 caused by necessary high temperature for producing cement and significant amounts of Construction Demolition Waste (CDW) in deteriorated and obsolete buildings. One of the ways to solve these problems is Bio-Material. CELLULOSE and CHITON is the 1st and 2nd abundant substance in nature (Duro-Royo, J.: Aguahoja_ProgrammableWater-based Biocomposites for Digital Design and Fabrication across Scales. MIT, pp. 1–3 (2019)), which means significantly potential for architectural dimension production. Meanwhile, renewability and biodegradability make it more conducive to the current problem of construction pollution. The purpose of this study is to explore Cellulose Based Biomaterial and bring it into architectural scale additive manufacture that engages with performance in the material development, with respect to time of solidification and control of shrinkage, as well as offering mechanical strength. At present, the experiments have proved the possibility of developing a cellulose-chitosan- based composite into 3D-Printing Construction Material (Sanandiya, N.D., Vijay, Y., Dimopoulou, M., Dritsas, S., Fernandez, J.G.: Large-scale additive manufacturing with bioinspired cellulosic materials. Sci. Rep. 8(1), 1–5 (2018)). Moreover, The research shows that the characteristics (Such as waterproof, bending, compression, tensile, transparency) of the composite can be enhanced by different additives (such as xanthan gum, paper fiber, flour), which means it can be customized into various architectural components based on Performance Directional Optimization. This solution has a positive effect on environmental impact reduction and is of great significance in putting the architectural construction industry into a more environment-friendly and smart state.
series	cdrf
email
last changed	2022/09/29 07:53

_id	caadria2019_660
id	caadria2019_660
authors	Aghaei Meibodi, Mania, Giesecke, Rena and Dillenburger, Benjamin
year	2019
title	3D Printing Sand Molds for Casting Bespoke Metal Connections - Digital Metal: Additive Manufacturing for Cast Metal Joints in Architecture
doi	https://doi.org/10.52842/conf.caadria.2019.1.133
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 133-142
summary	Metal joints play a relevant role in space frame constructions, being responsible for large amount of the overall material and fabrication cost. Space frames which are constructed with standardized metal joints are constrained to repetitive structures and topologies. For customized space frames, the fabrication of individual metal joints still remains a challenge. Traditional fabrication methods such as sand casting are labour intensive, while direct 3D metal printing is too expensive and slow for the large volumes needed in architecture.This research investigates the use of Binder Jetting technology to 3D print sand molds for casting bespoke metal joints in architecture. Using this approach, a large number of custom metal joints can be fabricated economically in short time. By automating the generation of the joint geometry and the corresponding mold system, an efficient digital process chain from design to fabrication is established. Several design studies for cast metal joints are presented. The approach is successfully tested on the example of a full scale space frame structure incorporating almost two hundred custom aluminum joints.
keywords	3D printing; binder jetting; sand casting; metal joints; metal casting; space frame; digital fabrication; computational design; lightweight; customization
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_605
id	ecaadesigradi2019_605
authors	Andrade Zandavali, Bárbara and Jiménez García, Manuel
year	2019
title	Automated Brick Pattern Generator for Robotic Assembly using Machine Learning and Images
doi	https://doi.org/10.52842/conf.ecaade.2019.3.217
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 217-226
summary	Brickwork is the oldest construction method still in use. Digital technologies, in turn, enabled new methods of representation and automation for bricklaying. While automation explored different approaches, representation was limited to declarative methods, as parametric filling algorithms. Alternatively, this work proposes a framework for automated brickwork using a machine learning model based on image-to-image translation (Conditional Generative Adversarial Networks). The framework consists of creating a dataset, training a model for each bond, and converting the output images into vectorial data for robotic assembly. Criteria such as: reaching wall boundary accuracy, avoidance of unsupported bricks, and brick's position accuracy were individually evaluated for each bond. The results demonstrate that the proposed framework fulfils boundary filling and respects overall bonding structural rules. Size accuracy demonstrated inferior performance for the scale tested. The association of this method with 'self-calibrating' robots could overcome this problem and be easily implemented for on-site.
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

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