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

PDF papers
References

Hits 1 to 17 of 17

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

_id	ijac201816202
id	ijac201816202
authors	Tamke, Martin; Paul Nicholas and Mateusz Zwierzycki
year	2018
title	Machine learning for architectural design: Practices and infrastructure
source	International Journal of Architectural Computing vol. 16 - no. 2, 123-143
summary	In this article, we propose that new architectural design practices might be based on machine learning approaches to better leverage data-rich environments and workflows. Through reference to recent architectural research, we describe how the application of machine learning can occur throughout the design and fabrication process, to develop varied relations between design, performance and learning. The impact of machine learning on architectural practices with performance-based design and fabrication is assessed in two cases by the authors. We then summarise what we perceive as current limits to a more widespread application and conclude by providing an outlook and direction for future research for machine learning in architectural design practice.
keywords	Machine learning, robotic fabrication, design-integrated simulation, material behaviour, feedback, Complex Modelling
series	journal
email
last changed	2019/08/07 14:03

_id	caadria2018_365
id	caadria2018_365
authors	Ham, Jeremy J.
year	2018
title	Exploring the Intersection of Music and Architecture Through Spatial Improvisation
doi	https://doi.org/10.52842/conf.caadria.2018.1.121
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 121-130
summary	Creative practice design research brings forth rich opportunities for the exploration of inter-domain connections between music and architecture. Through inter-disciplinary creative practice explorative project work founded on a methodology of improvisation on the digital drum kit, two stages of design research project work are outlined. In the first stage, a language of polyrhythmic drumming is parametrically spatialized as a reflective lens on an extant creative practice. From here, a new form of 'Spatial Improvisation' is explored, where conceptual spatial forms are generated from improvisations on the digital drum kit. This new musico-spatial design practice involves mediating a spatio-temporal-dynamical 'Y-Condition (Martin, 1994)' wherein temporal and dynamic design decisions translate from the musical domain into the spatial domain through 'spatial thinking-in-action'.
keywords	Music and Architecture; Design Research ; Spatial Improvisation; Design Process; Parametric Digital Design
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ijac201816205
id	ijac201816205
authors	Faircloth,Billie; Ryan Welch, Martin Tamke, Paul Nicholas, Phil Ayres, Yulia Sinke, Brandon Cuffy and Mette Ramsgaard Thomsen
year	2018
title	Multiscale modeling frameworks for architecture: Designing the unseen and invisible with phase change materials
source	International Journal of Architectural Computing vol. 16 - no. 2, 104-122
summary	Multiscale design and analysis models promise a robust, multimethod, multidisciplinary approach, but at present have limited application during the architectural design process. To explore the use of multiscale models in architecture, we develop a calibrated modeling and simulation platform for the design and analysis of a prototypical envelope made of phase change materials. The model is mechanistic in nature, incorporates material-scale and precinct scale-attributes, and supports the design of two- and three-dimensional phase change material geometries informed by heat transfer phenomena. Phase change material behavior, in solid and liquid states, dominates the visual and numerical evaluation of the multiscale model. Model calibration is demonstrated using real-time data gathered from the prototype. Model extensibility is demonstrated when it is used by designers to predict the behavior of alternate envelope options. Given the challenges of modeling phase change material behavior in this multiscale model, an additional multiple linear regression model is applied to data collected from the physical prototype in order to demonstrate an alternate method for predicting the melting and solidification of phase change materials.
keywords	Multiscale modeling, mechanistic modeling, heat transfer modeling, phase change materials, model validation
series	journal
email
last changed	2019/08/07 14:03

_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	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	ecaade2018_138
id	ecaade2018_138
authors	Abdulmawla, Abdulmalik, Schneider, Sven, Bielik, Martin and Koenig, Reinhard
year	2018
title	Integrated Data Analysis for Parametric Design Environment - mineR: a Grasshopper plugin based on R
doi	https://doi.org/10.52842/conf.ecaade.2018.2.319
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 319-326
summary	In this paper we introduce mineR- a tool that integrates statistical data analysis inside the parametric design environment Grasshopper. We first discuss how the integration of statistical data analysis would improve the parametric modelling workflow. Then we present the statistical programming language R. Thereafter, we show how mineR is built to facilitate the use of R in the context of parametric modelling. Using two example cases, we demonstrate the potential of implementing mineR in the context of urban design and analysis. Finally, we discuss the results and possible further developments.
keywords	Statistical Data Analysis; Parametric Design
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2018_292
id	ecaade2018_292
authors	Dennemark, Martin, Aicher, Andreas, Schneider, Sven and Hailu, Tesfaye
year	2018
title	Generative Hydrology Network Analysis - A parametric approach to water infrastructure based urban planning
doi	https://doi.org/10.52842/conf.ecaade.2018.2.327
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 327-334
summary	Urban water systems need to be dimensioned well to be economical and distribute water in a good quality to all consumers. Their pipe sizes are dependent on demand and location of consuming nodes. Within uncertain development of cities, planning sustainable hydraulic networks is challenging. This paper explores, how the definition of urban design parameters can be supported using parametric urban design models and computational water network analysis. For the latter we developed new components for Grasshopper based on the open accessible water analysis tool EPANET. In two example cases we demonstrate potential applications of this tool for water-sensitive planning of emerging cities to find optimal positions for water sources or pipe diameters. In subsequent research, this could be used to derive probability-based recommendations for the dimensioning of a water network within uncertain growth.
keywords	water infrastructure; urban planning; parametric design; uncertainty; emerging cities
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ijac201816204
id	ijac201816204
authors	Gengnagel, Christoph; Riccardo La Magna, Mette Ramsgaard Thomsen and Martin Tamke
year	2018
title	Shaping hybrids – Form finding of new material systems
source	International Journal of Architectural Computing vol. 16 - no. 2, 91-103
summary	Form-finding processes are an integral part of structural design. Because of their limitations, the classic approaches to finding a form – such as hanging models and the soap-film analogy – play only a minor role. The various possibilities of digital experimentation in the context of structural optimisation create new options for the designer generating forms, while enabling control over a wide variety of parameters. A complete mapping of the mechanical properties of a structure in a continuum mechanics model is possible but so are simplified modelling strategies which take into account only the most important properties of the structure, such as iteratively approximating to a solution via representations of kinematic states. Form finding is thus an extremely complex process, determined both by the freely selected parameters and by design decisions.
keywords	Bending active, form finding, hybrid structures, simulation, textile architecture
series	journal
email
last changed	2019/08/07 14:03

_id	ecaade2018_w04
id	ecaade2018_w04
authors	Koenig, Reinhard, Beilik, Martin, Knecht, Katja, Abdulmawla, Abdulmalik and Fuchkina, Ekaterina
year	2018
title	New Methods for Urban Analysis and Simulation with Grasshopper - Using DeCodingSpaces-Toolbox
doi	https://doi.org/10.52842/conf.ecaade.2018.1.065
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 65-68
summary	This workshop presents a collection of methods that supports the creation of urban masterplans. These methods are also used for evaluating the performance of the generated plans using advanced performance analysis tools as well as design exploration tools. During a one-day-workshop, the participants will practice using these tools in three parts; Street Network Generation, Synthesis of urban morphology, and Design-Space-Exploration. All the tools are integrated in one library called DeCodingSpaces-Toolbox for the parametric modelling environment Grasshopper.
keywords	Urban Generation and Analysis; Urban Simulation; Design Space Exploration
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ecaade2018_408
id	ecaade2018_408
authors	Martin, Javier and Martin, Daniel
year	2018
title	Ornament & Distortion - Superficial Techniques for Spatial Distortion by Means of CAD-CAM Technologies
doi	https://doi.org/10.52842/conf.ecaade.2018.2.459
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 459-466
summary	This research explores the use of graphic techniques to distort the perception of three-dimensional space, questioning the irrelevance of superficial ornamentation in the creation of space. The project starts with a historical and theoretical positioning of the use of superficial ornamentation and aims to bring to digital environments the design and production of such graphic techniques. In order to do so, a parametric tool embedding all the required information in order to facilitate the creation of vinyl decals was created and was finally tested by mostly-unskilled students in an international workshop. This paper describes the development of the parametric tool, its relation to the graphic techniques, and the results obtained during the international workshop.
keywords	trompe l'oeil; sciagraphy; anamorphosis; digital fabrication; vinyl decal
series	eCAADe
email
last changed	2022/06/07 07:59

_id	sigradi2018_1502
id	sigradi2018_1502
authors	Muñoz, Patricia; Martin Iglesias, Rodrigo
year	2018
title	Digital-Analogic Algorithmic Laminar Artifact: Techno-political convergences in Design
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 676-683
summary	This work refers to the design, development, fabrication and exhibition of the device called A.L.A.D.A. (Digital-Analogic Algorithmic Laminar Artifact), an experimental project that com-bines parametric-analog morphogenesis and digital fabrication in a process of architectural-spatial discovery based on cut-flexibility that results in a metaphorical operation, a kind of sim-ultaneous Muybridge-style kinematic capture. The experience arises from the collaborative interaction between two research projects on morphology and digital media, their new mor-phogenerative and manufacturing possibilities, and the thought of digital manufacturing from productive and morphogenetic processes, in conjunction with an experimental and productive space outside the university. The working methodology from 2D to 3D through the flexibiliza-tion of rigid sheets through small-scale laser cutting was adapted to work in large proportions to allow viewers to walk around the artifact.
keywords	Convergence; Flexibilization; Digital fabrication; Experimentation; Technopolitics
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	sigradi2018_1650
id	sigradi2018_1650
authors	Regadas Reis Vianna, Maria Elisa; Castro Henriques, Gonçalo; Martin Passaro, Andrés
year	2018
title	Constructive-geometry:the integration of generation and construction systems in a case-study
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 316-323
summary	This project reflects about the use of the term constructive geometry, based on the development of a case study. Even if we posses the digital tools and processes to develop a design, it is not so clear how to combine the generation and the necessary tools to materialize it. To find form we rely on algorithmic generation unfolding this term with digital fabrication, to include material and techniques feedback. Constructive geometry looks for an inclusive computational design to integrate generation and fabrication. This process is tested and documented in the development of a studentl graduation project.
keywords	Constructive geometry, digital integration, form generation, digital fabrication
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	acadia18_250
id	acadia18_250
authors	Seibold, Zach; Grinham, Jonathan; Geletina, Olga; Ahanotu, Onyemaechi; Sayegh, Allen; Weaver, James; Bechthold, Martin
year	2018
title	Fluid Equilibrium: Material Computation in Ferrofluidic Castings
doi	https://doi.org/10.52842/conf.acadia.2018.250
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 250-259
summary	We present a computationally-based manufacturing process that allows for variable pattern casting through the use of ferrofluid – a mixture of suspended magnetic nanoparticles in a carrier liquid. The capacity of ferrofluid to form intricate spike and labyrinthine packing structures from ferrohydrodynamic instabilities is well recognized in industry and popular science. In this paper we employ these instabilities as a mold for the direct casting of rigid materials with complex periodic features. Furthermore, using a bitmap-based computational workflow and an array of high-strength neodymium magnets with linear staging, we demonstrate the ability to program the macro-scale pattern formation by modulating the magnetic field density within a single cast. Using this approach, it is possible to program specific patterns in the resulting cast tiles at both the micro- and macro-scale and thus generate tiled arrays with predictable halftone-like image features. We demonstrate the efficacy of this approach for a variety of materials typically used in the architecture, engineering, and construction industries (AEC) including epoxys, ceramics, and cements.
keywords	full paper, materials & adaptive systems, digital fabrication, digital materials, physics
series	ACADIA
type	paper
email
last changed	2022/06/07 08:00

_id	acadia18_350
id	acadia18_350
authors	Seibold, Zach; Hinz, Kevin; García del Castillo y López, Jose Luis; Martínez Alonso, Nono; Mhatre, Saurabh; Bechthold, Martin
year	2018
title	Ceramic Morphologies. Precision and control in paste-based additive manufacturing
doi	https://doi.org/10.52842/conf.acadia.2018.350
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 350-357
summary	Additive manufacturing techniques (AMT), commonly referred to as 3D printing, are emerging as a new area of study for the production of ceramic elements at the architectural scale. AMT may allow architectural designers to break from the established means of designing with ceramic elements – a process where designs are typically confined to a limited selection of building components produced by machine, die or fixture. In this paper, we report a method for the design and additive manufacture of customizable ceramic masonry elements via paste-based extrusion. A novel digital workflow allowed for precise control of part design, and generated manufacturing parameters such as toolpath geometry and machine code. 3D scans of a selection of elements provide an initial analysis of print fidelity. We discuss the current constraints of this process and identify several on-going research trajectories generated because of this research.
keywords	work in progress, fabrication & robotics, materials/adaptive systems, digital fabrication, digital craft
series	ACADIA
type	paper
email
last changed	2022/06/07 07:59

_id	ecaaderis2023_11
id	ecaaderis2023_11
authors	Sepúlveda, Abel, Eslamirad, Nasim, Seyed Salehi, Seyed Shahabaldin, Thalfeldt, Martin and De Luca, Francesco
year	2023
title	Machine Learning-based Optimization Design Workflow based on Obstruction Angles for Building Facades
source	De Luca, F, Lykouras, I and Wurzer, G (eds.), Proceedings of the 9th eCAADe Regional International Symposium, TalTech, 15 - 16 June 2023, pp. 15–24
summary	This paper proposes a ML-based optimization design workflow based on obstruction angles for the optimization of building facades (i.e. g-value and window width). The optimization output consists of the optimal clustering of windows in order to ensure a desired level of daylight provision according to method 2 defined in the EN17307:2018 (i.e. based on Spatial Daylight Autonomy: sDA) and to not exceed a maximum level of specific cooling capacity (SCC). The independent variables or design parameters of the parametric model are: room orientation/dimensions, window dimensions, and obstruction angle (??). The ML prediction models were trained and tested with reliable simulation results using validate softwares. The total number of room combinations is 61440 for sDA and SCC simulations. The development of reliable (90% of right predictions) ML predictive models based on decision tree technique were calibrated. The optimal clustering of windows was done first by floors and secondly by the designer’s need to homogenize the external facade with similar glazing properties and window sizes, having impact on the annual heating consumption. The proposed method help designers to make accurate and faster design decisions during early design stages and renovation plans.
keywords	optimization, daylight, thermal comfort, cooling capacity, machine-learning predictive model, office buildings, cold climates
series	eCAADe
email
last changed	2024/02/05 14:28

_id	ijac201816206
id	ijac201816206
authors	Tamke, Martin and Mette Ramsgaard Thomsen
year	2018
title	Complex Modelling
source	International Journal of Architectural Computing vol. 16 - no. 2, 87-90
series	journal
last changed	2019/08/07 14:03

_id	ecaadesigradi2019_101
id	ecaadesigradi2019_101
authors	Tebaldi, Isadora, Henriques, Gonçalo Castro and Passaro, Andres Martin
year	2019
title	A Generative System for the Terrain Vague - Transcarioca Bus Expressway in Rio de Janeiro
doi	https://doi.org/10.52842/conf.ecaade.2019.1.035
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. 35-44
summary	The transport infrastructures are important elements in the cities, but, as there is a lack of planning, they tear through the urban fabric and leave empty spaces. Due to government and private disinterest, these spaces become vacant, forgotten and degraded. However, these extensive Terrain Vague offer new potential for urban use. To exploit this potential, we need methodologies that can offer personalised, extensive, feasible urban solutions. For this, we propose a computational generative system, following a 4-step methodology: 1) Site analyses and Terrain Vague identification; 2) Site classification according to parameters based on a "visual grammar"; 3) Algorithm associating space properties with geometric transformation to generate solutions: namely transformative operations in public spaces, additive transformations in semi-public spaces and subtractive operations in semi-private spaces; 4) Solution evaluation and development, according to shade criteria, spatial hierarchy and volumetric density. With our own algorithms combined with genetic algorithms, we guided the evolution of 50 volumetric solutions. The exponential increase in information requires new methodologies (Schwab, 2018). Results show the potential of computational methodologies to produce extensive urban solutions. This research, developed in a final graduation project in Architecture, aims at stimulating generative methodologies in undergraduate courses.
keywords	Terrain Vague; generative systems; parametric urbanism; genetic algorithms
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:58

No more hits.