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	acadia18_156
id	acadia18_156
authors	Huang, Weixin; Zheng, Hao
year	2018
title	Architectural Drawings Recognition and Generation through Machine Learning
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. 156-165
doi	https://doi.org/10.52842/conf.acadia.2018.156
summary	With the development of information technology, the ideas of programming and mass calculation were introduced into the design field, resulting in the growth of computer- aided design. With the idea of designing by data, we began to manipulate data directly, and interpret data through design works. Machine Learning as a decision making tool has been widely used in many fields. It can be used to analyze large amounts of data and predict future changes. Generative Adversarial Network (GAN) is a model framework in machine learning. It’s specially designed to learn and generate output data with similar or identical characteristics. Pix2pixHD is a modified version of GAN that learns image data in pairs and generates new images based on the input. The author applied pix2pixHD in recognizing and generating architectural drawings, marking rooms with different colors and then generating apartment plans through two convolutional neural networks. Next, in order to understand how these networks work, the author analyzed their framework, and provided an explanation of the three working principles of the networks, convolution layer, residual network layer and deconvolution layer. Lastly, in order to visualize the networks in architectural drawings, the author derived data from different layer and different training epochs, and visualized the findings as gray scale images. It was found that the features of the architectural plan drawings have been gradually learned and stored as parameters in the networks. As the networks get deeper and the training epoch increases, the features in the graph become more concise and clearer. This phenomenon may be inspiring in understanding the designing behavior of humans.
keywords	full paper, design study, generative design, ai + machine learning, ai & machine learning
series	ACADIA
type	paper
email
last changed	2022/06/07 07:49

_id	caadria2018_125
id	caadria2018_125
authors	Bungbrakearti, Narissa, Cooper-Wooley, Ben, Odolphi, Jorke, Doherty, Ben, Fabbri, Alessandra, Gardner, Nicole and Haeusler, M. Hank
year	2018
title	HOLOSYNC - A Comparative Study on Mixed Reality and Contemporary Communication Methods in a Building Design Context
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. 401-410
doi	https://doi.org/10.52842/conf.caadria.2018.1.401
summary	The integration of technology into the design process has enabled us to communicate through various modes of virtuality, while more traditional face-to-face collaborations are becoming less frequent, specifically for large scale companies. Both modes of communication have benefits and disadvantages - virtual communication enables us to connect over large distances, however can often lead to miscommunication, while face-to-face communication builds stronger relationship, however may be problematic for geographically dispersed teams. Mixed Reality is argued to be a hybrid of face-to-face and virtual communication, and is yet to be integrated into the building design process. Despite its current limitations, such as field of view, Mixed Reality is an effective tool that generates high levels of nonverbal and verbal communication, and encourages a high and equal level of participation in comparison to virtual and face-to-face communication. Being a powerful communication tool for complex visualisations, it would be best implemented in the later stages of the building design process where teams can present designs to clients or where multiple designers can collaborate over final details.
keywords	Mixed Reality; Communication; Hololens; Collaboration; Virtual
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaade2018_295
id	ecaade2018_295
authors	Dezen-Kempter, Eloisa, Cogima, Camila Kimi, Vieira de Paiva, Pedro Victor and Garcia de Carvalho, Marco Antonio
year	2018
title	BIM for Heritage Documentation - An ontology-based approach
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. 213-222
doi	https://doi.org/10.52842/conf.ecaade.2018.1.213
summary	In the recent decades, the high-resolution remote sensing, through 3D laser scanning and photogrammetry benefited historic buildings maintenance, conservation, and restoration works. However, the dense surface models (DSM) generated from the data capture have nonstructured features as lack of topology and semantic discretization. The process to create a semantically oriented 3D model from the DSM, using the of Building Information Model technology, is a possibility to integrate historical information about the life cycle of the building to maintain and improving architectural valued building stock to its functional level and safeguarding its outstanding historical value. Our approach relies on an ontology-based system to represent the knowledge related to the building. Our work outlines a model-driven approach based on the hybrid data acquisition, its post-processing, the identification of the building' main features for the parametric modeling, and the development of an ontological map integrated with the BIM model. The methodology proposed was applied to a large-scale industrial historical building, located in Brazil. The DSM were compared, providing a qualitative assessment of the proposed method.
keywords	Reality-based Surveying; Ontology-based System; BIM; Built heritage management
series	eCAADe
email
last changed	2022/06/07 07:55

_id	acadia18_328
id	acadia18_328
authors	Kladeftira, Marirena; Shammas, Demetris; Bernhard, Mathias; Dillenburger, Benjamin
year	2018
title	Printing Whisper Dishes. Large-scale binder jetting for outdoor installations
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. 328-335
doi	https://doi.org/10.52842/conf.acadia.2018.328
summary	This research explores the design opportunities of a novel fabrication process for large scale architectural installations suitable for outdoor weather conditions. High resolution, bespoke geometries are easily fabricated at no extra cost in a continuous system using Binder Jet printing technology. The material properties of sandstone are considered a design drive for producing structural paths according to a finite element analysis. Several post processing materials are tested for strengthening the final geometry and providing a water resistant solution. The process is tested in a large, 1:1 sound installation of a pair of acoustic mirrors. First, this paper describes the specific potential and challenges of Binder Jet printing for outdoor applications. It, then, outlines the design principles of the sound device, the acoustic mirror, and their integration into a digital model. Finally, the computational design strategy is described, including topology optimization to reduce the weight/material and the integration of functional details
keywords	work in progress, 3d printing, form finding, digital fabrication, building technologies
series	ACADIA
type	paper
email
last changed	2022/06/07 07:51

_id	ecaade2018_233
id	ecaade2018_233
authors	Kontiza, Iacovina, Spathi, Theodora and Bedarf, Patrick
year	2018
title	Spatial Graded Patterns - A case study for large-scale differentiated space frame structures utilising high-speed 3D-printed joints
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. 39-46
doi	https://doi.org/10.52842/conf.ecaade.2018.2.039
summary	Geometric differentiation is no longer a production setback for industrial grade architectural components. This paper introduces a design and fabrication workflow for non-repetitive large-scale space frame structures composed of custom-manufactured nodes, which exploits the advantages of latest advancements in 3D-printing technology. By integrating design, fabrication and material constraints into a computational methodology, the presented approach addresses additive manufacturing of functional industry-grade parts in short time, high speed and low cost. The resulting case study of a 4.5 x 4.5 x 2.5 m lightweight kite structure comprises 1380 versatile fully-customised connectors and outlines the manifold potential of additive manufacturing for architecture much bigger than the machine built space. First, after briefly introducing space frames in architecture, this paper discusses the computational framework of generating irregular space frames and parametric joint design. Second, it examines the advantages of MJF printing in conjunction with integrating smart sequencing details for the following assembly process. Finally, a conclusive outlook is given on improvements and further developments for bespoke 3D-printed space frame structures.
keywords	3D-printing; Multi-Jet Fusion; Space Frame; Graded Subdivision
series	eCAADe
email
last changed	2022/06/07 07:51

_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
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_27
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	acadia18_36
id	acadia18_36
authors	Austin, Matthew; Matthews, Linda
year	2018
title	Drawing Imprecision. The digital drawing as bits and pixels
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. 36-45
doi	https://doi.org/10.52842/conf.acadia.2018.036
summary	This paper explores the consequences of digitizing the architectural drawing. It argues that the fundamental unit of drawing has shifted from “the line” to an interactive partnership between bits and pixels. It also reveals how the developmental focus of imaging technology has been to synthesize and imitate the line using bits and pixels, rather than to explore their innate productive value and aesthetic potential. Referring to variations of the architectural drawing from a domestic typology, the paper uses high-precision digital tools tailored to quantitative image analysis and digital tools that sit outside the remit of architectural production, such as word processing, to present a new range of drawing techniques. By applying a series of traditional analytical procedures to the image, it reveals how these maneuvers can interrogate and dislocate any predetermined formal normalization. The paper reveals that the interdisciplinary repurposing of precise digital toolsets therefore has explicit disciplinary consequences. These arise as a direct result of the recalibration of scale, the liberation of the bit’s representational capacity, and the pixel’s properties of color and brightness. It concludes by proposing that deliberate instances of translational imprecision are highly productive, because by liberating the fundamental qualitative properties of the fundamental digital units, these techniques shift the disciplinary agency of the architectural drawing
keywords	full paper, imprecision, representation, recalibration, theory, glitch aesthetics, algorithmic design, process
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_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
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
doi	https://doi.org/10.52842/conf.acadia.2018.250
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	acadia19_392
id	acadia19_392
authors	Steinfeld, Kyle
year	2019
title	GAN Loci
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 392-403
doi	https://doi.org/10.52842/conf.acadia.2019.392
summary	This project applies techniques in machine learning, specifically generative adversarial networks (or GANs), to produce synthetic images intended to capture the predominant visual properties of urban places. We propose that imaging cities in this manner represents the first computational approach to documenting the Genius Loci of a city (Norberg-Schulz, 1980), which is understood to include those forms, textures, colors, and qualities of light that exemplify a particular urban location and that set it apart from similar places. Presented here are methods for the collection of urban image data, for the necessary processing and formatting of this data, and for the training of two known computational statistical models (StyleGAN (Karras et al., 2018) and Pix2Pix (Isola et al., 2016)) that identify visual patterns distinct to a given site and that reproduce these patterns to generate new images. These methods have been applied to image nine distinct urban contexts across six cities in the US and Europe, the results of which are presented here. While the product of this work is not a tool for the design of cities or building forms, but rather a method for the synthetic imaging of existing places, we nevertheless seek to situate the work in terms of computer-assisted design (CAD). In this regard, the project is demonstrative of a new approach to CAD tools. In contrast with existing tools that seek to capture the explicit intention of their user (Aish, Glynn, Sheil 2017), in applying computational statistical methods to the production of images that speak to the implicit qualities that constitute a place, this project demonstrates the unique advantages offered by such methods in capturing and expressing the tacit.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:56

_id	caadria2018_083
id	caadria2018_083
authors	Luo, Dan, Wang, Jinsong and Xu, Weiguo
year	2018
title	Robotic Automatic Generation of Performance Model for Non-Uniform Linear Material via Deep Learning
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. 39-48
doi	https://doi.org/10.52842/conf.caadria.2018.1.039
summary	In the following research, a systematic approach is developed to generate an experiment-based performance model that computes and customizes properties of non-uniform linear materials to accommodate the form of designated curve under bending and natural force. In this case, the test subject is an elastomer strip of non-uniform sections. A novel solution is provided to obtain sufficient training data required for deep learning with an automatic material testing mechanism combining robotic arm automation and image recognition. The collected training data are fed into a deep combination of neural networks to generate a material performance model. Unlike most traditional performance models that are only able to simulate the final form from the properties and initial conditions of the given materials, the trained neural network offers a two-way performance model that is also able to compute appropriate material properties of non-uniform materials from target curves. This network achieves complex forms with minimal and effective programmed materials with complicated nonlinear properties and behaving under natural forces.
keywords	Material performance model; Deep Learning; Robotic automation; Material computation; Neural network
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	acadia18_136
id	acadia18_136
authors	Austern, Guy; Capeluto, Isaac Guedi; Grobman, Yasha Jacob
year	2018
title	Fabrication-Aware Design of Concrete Façade Panels. A Computational Method For Evaluating the Fabrication of Large- Scale Molds in Complex Geometries
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. 136-145
doi	https://doi.org/10.52842/conf.acadia.2018.136
summary	This paper presents a design methodology for concrete façade panels that takes into consideration constraints related to digital fabrication machinery. A computational method for the real-time evaluation of industrial mold-making techniques, such as milling and hot wire cutting, was developed. The method rapidly evaluates the feasibility, material use, and machining time of complex geometry molds for architectural façade elements. Calculation speed is achieved by mathematically approximating CAM-machining operations. As results are obtained in nearly real time, the method can be easily incorporated into the architectural design process during its initial stages, when changes to the design are more effective. In the paper, we describe the algorithms of the computational evaluation method. We also show how it can be used to introduce fabrication considerations into the design process by using it to rationalize several types of panels. Additionally, we demonstrate how the method can be used in complex, large-scale architectural projects to save machining time and materials by evaluating and altering the paneling subdivision.
keywords	full paper, fabrication & robotics, digital fabrication, performance + simulation, geometry
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	acadia18_366
id	acadia18_366
authors	Baseta, Efilena; Bollinger, Klaus
year	2018
title	Construction System for Reversible Self-Formation of Grid Shells. Correspondence between physical and digital form
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. 366-375
doi	https://doi.org/10.52842/conf.acadia.2018.366
summary	This paper presents a construction system which offers an efficient materialization method for double-curved gridshells. This results in an active-bending system of controlled deflections. The latter system embeds its construction manual into the geometry of its components. Thus it can be used as a self-formation process. The two presented gridshell structures are composed of geometry-induced, variable stiffness elements. The latter elements are able to form programmed shapes passively when gravitational loads are applied. Each element consists of two layers and a slip zone between them. The slip allows the element to be flexible when it is straight and increasingly stiffer while its curvature increases. The amplitude of the slip defines the final deformation of the element. As a result, non-uniform deformations can be obtained with uniform cross sections and loads. When the latter elements are used in grid configurations, self-formation of initially planar surfaces emerges. The presented system eliminates the need for electromechanical equipment since it relies on material properties and hierarchical geometrical configurations. Wood, as a flexible and strong material, has been used for the construction of the prototypes. The fabrication of the timber laths has been done via CNC industrial milling processes. The comparison between the initial digital design and the resulting geometry of the physical prototypes is reviewed in this paper. The aim is to inform the design and fabrication process with performance data extracted from the prototypes. Finally, the scalability of the system shows its potential for large-scale applications, such as transformable structures.
keywords	full paper, material & adaptive systems, flexible structures, digital fabrication, self-formation
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	caadria2018_278
id	caadria2018_278
authors	Caetano, In?s, Ilunga, Guilherme, Belém, Catarina, Aguiar, Rita, Feist, Sofia, Bastos, Francisco and Leit?o, António
year	2018
title	Case Studies on the Integration of Algorithmic Design Processes in Traditional Design Workflows
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. 111-120
doi	https://doi.org/10.52842/conf.caadria.2018.1.111
summary	Algorithmic design processes have enormous potential for architecture. Even though some large design offices have already incorporated such processes in their workflow, so far, these have not been seriously considered by the large majority of traditional small-scale studios. Nevertheless, as the integration of algorithmic techniques inside architectural studios does not require mastering programming skills, but rather taking advantage of a collaborative design process, small design studios are therefore able of using such strategies within their workflow. This paper discusses a series of challenges presented by one of these studios, where we had to integrate algorithmic design processes with the studio's traditional workflow.
keywords	Collaborative design; Algorithmic design; Design strategies; Design workflow processes
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaade2018_268
id	ecaade2018_268
authors	Cheang, Jeremy Jenn Ren and Loh, Paul
year	2018
title	FOAM - Custom Single Task Construction Robot
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. 157-164
doi	https://doi.org/10.52842/conf.ecaade.2018.1.157
summary	This paper discusses the design and fabrication of a novel in-situ fabrication system for building cladding envelope. The construction industry has utilised automation in onsite construction for many decades. This research examines how through the automation process, different construction techniques can be combined to generate a new system that is both performance and design lead. Through abstracting generative effects through the design process, the results are feedback into the fabrication process to construct a more meaningful dialogue between form, material and fabrication procedure. Using electronic prototyping, the researchers tested the system through large-scale prototypes. The paper concludes by discussing the interaction between material and design. We examine how this is evident in the machine workflow. The article addresses the theme of the conference through examining a revision of tool in design that embodied research knowledge for a more sustainable environment.
keywords	Digital Fabrication, Design workflow, Automation
series	eCAADe
email
last changed	2022/06/07 07:55

_id	caadria2018_008
id	caadria2018_008
authors	Crolla, Kristof, Cheng, Paul Hung Hon, Chan, Ding Yuen Shan, Chan, Arthur Ngo Foon and Lau, Darwin
year	2018
title	Inflatable Architecture Production with Cable-Driven Robots
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. 9-18
doi	https://doi.org/10.52842/conf.caadria.2018.1.009
summary	This paper argues for alternative methods for the in-situ integration of robotics in architectural construction. Rather than promoting off-site pre-fabrication through industrial robot applications, it advocates for suspended, light-weight, cable-driven robots that allow flexible and safe onsite implementation. This paper uses the topic of large-scale inflatable architectural realisation as a study case to test the application of such a robot, here with a laser-cutter as end-effecter. This preliminary study covers the design, development, prototyping, and practical testing of an inherently scale-less cable-driven laser-cutter setup. This setup allows for the non-size specific cutting of inflatable structures' components which can be designed with common physics simulation engines. The developed robotic proof of concept forms the basis for several further and future study possibilities that merge the field of architectural design and implementation with mechanical and automation engineering.
keywords	Cable-driven robots; In-situ robotic fabrication; Large-scale fabrication; Inflatable architecture; Cross-disciplinarily
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	sigradi2018_1879
id	sigradi2018_1879
authors	Danesh Zand, Foroozan; Baghi, Ali; Kalantari, Saleh
year	2018
title	Digitally Fabricating Expandable Steel Structures Using Kirigami Patterns
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. 724-731
summary	This article presents a computational approach to generating architectural forms for large spanning structures based on a “paper-cutting” technique. In this traditional artform, a flat sheet is cut and scored in such a way that a small application of force prompts it to expand into a three-dimensional structure. To make these types of expandable structures feasible at an architectural scale, four challenges had to be met during the research. The first was to map the kinetic properties of a paper-cut model, investigating formative parameters such as the width and frequency of cuts to determine how they affect the resulting structure. The second challenge was to computationally simulate the paper-cut structure in an accurate fashion. We accomplished this task using finite element analysis in the Ansys software platform. The third challenge was to create a prediction model that could precisely forecast the characteristics of a paper-cutting pattern. We made significant strides in this demanding task by using a data-mining approach and regression analysis through 400 simulations of various cutting patterns. The final challenge was to verify the efficiency and accuracy of our prediction model, which we accomplished through a series of physical prototypes. Our resulting computational paper-cutting system can be used to estimate optimal cutting patterns and to predict the resulting structural characteristics, thereby providing greater rigor to what has previously been an ad-hoc and experimental design approach.
keywords	Transformable Paper-cut; Design method; Prediction Model; Regression analysis; Physical prototype
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	sigradi2018_1744
id	sigradi2018_1744
authors	de Toledo e Gazel, Jorge Lira; Carmo Pena Martinez, Andressa; dos Santos, Denise Mônaco; Lopes de Souza, Douglas
year	2018
title	2 BITS: A case of mass customization for social housing
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. 353-358
summary	This work presents a design for mass customization of modular housing applied to the Brazilian case, through modeling in grasshopper. These parametric tools contribute to an increase in the flexibility of the decisions and allow the execution, generating a wide range of solutions for the same problem. As a case study, it was considered the environmental disaster which occurred in the city of Mariana, whose homeless population remains displaced. Although in the initial phase of studies, this modular housing model aims to discuss principles of variability, flexibility, and pre-fabrication, delegating more decisions to end-users of large-scale social housing.
keywords	mass customization; parametric design; social housing
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2018_176
id	ecaade2018_176
authors	Fisher-Gewirtzman, Dafna and Polak, Nir
year	2018
title	Integrating Crowdsourcing & Gamification in an Automatic Architectural Synthesis Process
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. 439-444
doi	https://doi.org/10.52842/conf.ecaade.2018.1.439
summary	This work covers the methodological approach that is used to gather information from the wisdom of crowd, to be utilized in a machine learning process for the automatic generation of minimal apartment units. The flexibility in the synthesis process enables the generation of apartment units that seem to be random and some are unsuitable for dwelling. Thus, the synthesis process is required to classify units based on their suitability. The classification is deduced from opinions of human participants on previously generated units. As the definition of "suitability" may be subjective, this work offers a crowdsourcing method in order to reach a large number of participants, that as a whole would allow to produce an objective classification. Gaming elements have been adopted to make the crowdsourcing process more intuitive and inviting for external participants.
keywords	crowdsourcing and gamification; urban density; optimization; automated architecture synthesis; minimum apartments; visual openness
series	eCAADe
email
last changed	2022/06/07 07:51

_id	acadia18_98
id	acadia18_98
authors	Fox, Michael; Schulitz, Marc; Gershfeld, Mikhail; Cohen, Marc
year	2018
title	Full Integration: Closing the Gap on Technology Readiness
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. 98-107
doi	https://doi.org/10.52842/conf.acadia.2018.098
summary	This paper discusses the authors’ experiences and lessons learned through designing and constructing small- and large-scale robotic prototypes and the fully integrated use of VR and AR for design. Also of focus here are the methodological tools utilized to implement this student-led research in an interdisciplinary educational environment, as well as the design explorations of Mars habitation systems. Through the systems engineering approach, students will generate ideas that may or may not make it to the final design development stage, but may potentially be valuable to future real exploration habitats and mission architectures. The final prototype allows an assessment of the focus parameters, which are the vessels’ transformation capacities and layout adaption. The design objective of this project is to examine strategies for commonality between an interplanetary vehicle (IPV) and a Mars surface habitat. The presented design proposals address this challenge to create a common habitation system in both habitats so that crew members will be familiar with the layout, function, and location throughout the expedition. The design tools operate at the intersection of architectural layout design, mechanics, and structural design, and use origami folding techniques and structural form-finding concepts to generate shell action rigidity. In addition, the project develops a strategy for mobility and transformation of the surface habitat prior to its transformed configuration. The value here lies in understanding lessons from this strategy for both the design process as well as efficiency and optimization in design as a model for terrestrial design.
keywords	full paper, bim, flexible structures, performance + simulation, representation + perception, building technologies, vr/ar/mr
series	ACADIA
type	paper
email
last changed	2022/06/07 07:50

_id	ecaade2018_197
id	ecaade2018_197
authors	Fuchkina, Ekaterina, Schneider, Sven, Bertel, Sven and Osintseva, Iuliia
year	2018
title	Design Space Exploration Framework - A modular approach to flexibly explore large sets of design variants of parametric models within a single environment
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. 367-376
doi	https://doi.org/10.52842/conf.ecaade.2018.2.367
summary	Parametric modelling allows to relatively easily generate large sets of design variants (so called design space). Typically, a designer intuitively moves through this design space, resulting in one or several satisfying solutions. Due to the theoretically large number of variants that can be created with parametric models, obviously, there is a high probability that potentially good solutions could be missed, which is not at least because of human cognitive limitations. Consequently, it is necessary to develop a certain strategy to support designers in order to search for design solutions. Even though, various methods to systematically approach large data sets exist, the application of them in the design process is a special case, firstly, due to the existence of many non-specifiable and subjective dimensions (e.g. aesthetics) and secondly because of the multiple ways how designers actually search for solutions. This demands for a more flexible approach to design space exploration. This paper investigates how different methods can be combined to support the exploration of design spaces. Therefore, a conceptual framework with a modular architecture is proposed and its prototypical implementation is demonstrated.
keywords	Design Space Exploration; Parametric design
series	eCAADe
email
last changed	2022/06/07 07:50

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