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 20 of 597

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

_id	acadia21_572
id	acadia21_572
authors	Rodrigues, Ricardo Cesar; Alzate-Martinez, Fábio A.; Escobar, Daniel; Mistry, Mayur
year	2021
title	Rendering Conceptual Design Ideas with Artificial Intelligence
doi	https://doi.org/10.52842/conf.acadia.2021.572
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by S. Parascho, J. Scott, and K. Dörfler. 572-575.
summary	This paper documents a data-driven approach to a conceptual rendering workflow with Artificial Intelligence (AI) models. This work originates from the workshop ‘Intro to AI for Architectural Design Explorations’ lectured by the authors Mayur Mistry and Daniel Escobar, during the event ‘Inclusive FUTURES 2021’ at the Digital Futures platform. The observations reflect about the applicability of machine-augmented conceptual design. As a common practice in the fi eld, architects start designing their buildings by sketching their ideas, this is a process that attempts to translate a concept into a spatial and aesthetic solution. Nevertheless, the design process is an iterative and time-consuming task. For this reason, we must experiment new methods that can potentially enhance architectural practice.
series	ACADIA
type	field note
email
last changed	2023/10/22 12:06

_id	sigradi2021_28
id	sigradi2021_28
authors	Atsumi, Kei, Hanazato, Toshihiro and Kato, Osamu
year	2021
title	The Assembly and Fabrication of Double Curved Panel Structure Using Japanese wood Joints created by Desktop 3D Printers
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 1245–1255
summary	This research presents a new direction for freeform structure assembly and fabrication through the collaboration of 3D printing technology and Japanese wood joining technology. Full-scale, self-build prototyping is demonstrated without glue or metal fittings. Rather than relying on digital fabrication machines to match the architectural scale, this study utilizes the Fused Filament Fabrication (FFF) with desktop 3D printers, which is the most widespread and inexpensive printing technology. By incorporating the perspectives of wood joinery and compact 3D printers, this study promotes a drastic change in 3D printed architectural production from a massive structure-oriented system to a module-oriented system. The project demonstrates how artisanal knowledge integrates with 3D printing architectural production by reconfiguring joint geometry, parametric modeling, fabrication, and assembly processes. We discuss our research process and final achievements, and we provide new ideas for architectural production using digital fabrication.
keywords	Digital fabrication, Assembly, Japanese wood joints, 3D printing, Double- curved panel structure
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	ecaade2021_194
id	ecaade2021_194
authors	Scott, Jane, Gaston, Elizabeth and Agraviador, Armand
year	2021
title	Configured Knitting - Grafting as an assembly process for knitted architecture
doi	https://doi.org/10.52842/conf.ecaade.2021.2.473
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 473-482
summary	There is a growing interest in knit as a material system for architectural research in a workflow that integrates computation and digital fabrication in the design and specification of highly engineered fabrics. However, the dimensional limitations of industrial machines mean that large scale work may require assembly from multiple pieces. Reconfiguring knitted fabric by joining fabric panels disrupts the performance of the material, challenging the computational model when fabric characteristics are transformed at the seams.The aim of this research is to evaluate the potential for grafting, a traditional joining method for knitted fabric, as an assembly technique for architectural scale knitted prototypes. The paper presents an overview of knitted loop geometry focusing on the impact of loop construction in textile joins. The paper presents experimental research conducted using unconventional off-machine techniques at two scales, demonstrating how grafting can be used to assemble 3D structures without compromising the integrity of the material. Findings highlight the significance of this technique and suggest how the work could translate to digital fabrication.
keywords	Knit; Grafting; Computational Form Generation; Textile Design
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2021_115
id	ecaade2021_115
authors	Foged, Isak and Hilmer, Jacob
year	2021
title	Fiber Compositions - Development of wood and textile layered structures as a material strategy for sustainable design
doi	https://doi.org/10.52842/conf.ecaade.2021.2.443
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 443-452
summary	This study examines composite compositions based on fiber-based materials. It focuses on organic textiles of Jute, Hemp, Wool, Flax, and Glass fiber as a synthetic textile, combined with the lightweight wood species Paulownia. By creating novel composites, the study aims to investigate methods and generate design knowledge for material strategies to improve and reduce material waste in the built environment, further enabled by the use of small elements that can be sourced from waste wood and reclaimed wood. Research is conducted as a hybrid material-computational methodology, developing and testing probes, prototypes and a full-scale demonstrator assembly in the form of a wall seating composition. The results find that the proposed method and resulting composites have significant potentials for both expressive and functional characteristics, allowing tectonic articulation to be made, while creating minimum material structures based on assembly of small elements to larger complex curvature building parts.
keywords	Wood; Textile; Composite; Computational Design; Environmental Design
series	eCAADe
email
last changed	2022/06/07 07:51

_id	caadria2021_285
id	caadria2021_285
authors	Gawell, Ewelina
year	2021
title	Optimal design of wooden pavilion gridshell structures in the context of architectural and structural collaboration
doi	https://doi.org/10.52842/conf.caadria.2021.1.473
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 473-482
summary	In the article two interacting aspects of collaborative design are described: shaping of the form and the rational use of materials. Form shaping will be analyzed on the basis of pavilions. The material aspect of this paper is concerned with the use of wood in contemporary construction. The first goal is to analyze the selected technical parameters related to the use of wood in the optimal shaping of gridshell structures in architecture. The second goal is to identify new opportunities for architectural and structural engineering cooperation in the context of generative digital tools. The possibility of creating new plugins for the existing generative modeling programs to improve the quality of collaboration will also be discussed. The paper is concerned with elementary research. I was able to achieve the set goals by means of theoretical analyzes based on the known literature as well as the analysis of the created objects and the accompanying research. The background for the work is a description of the selected trends of using natural wood as load-bearing elements in contemporary architecture and case studies of the selected objects that express the idea of form and material eco-efficiency.
keywords	wooden structures; structural detail; bionic models
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	acadia21_470
id	acadia21_470
authors	£ochnicki, Grzegorz; Kalousdian, Nicolas Kubail; Leder, Samuel; Maierhofer, Mathias; Wood, Dylan; Menges, Achim
year	2021
title	Co-Designing Material-Robot Construction Behaviors
doi	https://doi.org/10.52842/conf.acadia.2021.470
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 470-479.
summary	This paper presents research on designing distributed, robotic construction systems in which robots are taught construction behaviors relative to the elastic bending of natural building materials. Using this behavioral relationship as a driver, the robotic system is developed to deal with the unpredictability of natural materials in construction and further to engage their dynamic characteristics as methods of locomotion and manipulation during the assembly of actively bent structures. Such an approach has the potential to unlock robotic building practice with rapid-renewable materials, whose short crop cycles and small carbon footprints make them particularly important inroads to sustainable construction. The research is conducted through an initial case study in which a mobile robot learns a control policy for elastically bending bamboo bundles into designed configurations using deep reinforcement learning algorithms. This policy is utilized in the process of designing relevant structures, and for the in-situ assembly of these designs. These concepts are further investigated through the co-design and physical prototyping of a mobile robot and the construction of bundled bamboo structures. This research demonstrates a shift from an approach of absolute control and predictability to behavior-based methods of assembly. With this, materials and processes that are often considered too labor-intensive or unpredictable can be reintroduced. This reintroduction leads to new insights in architectural design and construction, where design outcome is uniquely tied to the building material and its assembly logic. This highly material-driven approach sets the stage for developing an effective, sustainable, light-touch method of building using natural materials.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2021_011
id	ecaade2021_011
authors	Nováková, Kateøina and Vele, Jiøí
year	2021
title	Prvok - An experiment with 3D printing large doublecurved concrete structure
doi	https://doi.org/10.52842/conf.ecaade.2021.2.137
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 137-144
summary	In this experimental research project we report on the manufacturing process of the first full-size 3D printed concrete structure in our country. The house was 3D printed by an ABB IRB 6700 robot whose range we made fit with the requirements for transportation size and also, its range determined the size and geometry of the house. During the transformation process from sketch to code we involved students to apply computational design methods. We designed the main load bearing structure which had to be thinnest and lightest possible together with its insulation features and printability. We were aware of the world-wide research in this field started by NASA centennial Challenge called 3D-printed-habitat [Roman,2020] as well as start-ups derived from this research [1,2,3,4]. During the project, we investigated the following matters: (1) the relationship between geometry of the wall in model and in practice (2), setting of the robot and the mixture; and (3) stress test of the wall. With the results of the test we aimed at contribution to standardisation of 3D printed structures in ISO/ASTM 52939:2021. The finalized structure, named "Prvok", was made to prove printability of the mixture and stability of the design.
keywords	3D printing; robot; concrete; grasshopper; experiment; house
series	eCAADe
email
last changed	2022/06/07 07:58

_id	ecaade2021_130
id	ecaade2021_130
authors	Alassaf, Nancy and Clayton, Mark
year	2021
title	The Use of Diagrammatic Reasoning to Aid Conceptual Design in Building Information Modeling (BIM)
doi	https://doi.org/10.52842/conf.ecaade.2021.2.039
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 39-48
summary	Architectural design is an intellectual activity where the architect moves from the abstract to the real. In this process, the abstract represents the logical reasoning of how architectural form is configured or structured, while the real refers to the final physical form. Diagrams become an integral part of the conceptual design stage because they mediate between those two realms. Building Information Modeling (BIM) can reallocate the effort and time to emphasize conceptual design. However, many consider BIM a professionally-oriented tool that is less suitable for the early design stages. This research suggests that architectural design reasoning can be achieved using constraint-based parametric diagrams to aid conceptual design in BIM. The study examines several techniques and constructs a framework to use diagrams in the early design stages. This framework has been investigated through Villa Stein and Citrohan House by Le Corbusier. This study addresses two roles of diagrams: the generative role to create various design solutions and the analytical one to conduct an early performance study of the building. Our research contributes to the discussion on the ways designers can use digital diagrams to support the architectural design process.
keywords	Building Information Modeling (BIM); Performance analysis ; Architectural Form; Diagram; Parametric modeling
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ijac202119101
id	ijac202119101
authors	Budig, Michael; Oliver Heckmann, Markus, Hudert, Amanda Qi Boon Ng, Zack Xuereb Conti, and Clement Jun Hao Lork
year	2021
title	Computational screening-LCA tools for early design stages
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 1, 6–22
summary	Life Cycle Assessment (LCA) has been widely adopted to identify the Global Warming Potential (GWP) in the construction industry and determine its high environmental impact through Greenhouse Gas (GHG) emissions, energy and resource consumptions. The consideration of LCA in the early stages of design is becoming increasingly important as a means to avoid costly changes at later stages of the project. However, typical LCA-based tools demand very detailed information about structural and material systems and thus become too laborious for designers in the conceptual stages, where such specifications are still loosely defined. In response, this paper presents a workflow for LCA-based evaluation where the selection of the construction system and material is kept open to compare the impacts of alternative design variants. We achieve this through a strict division into support and infill systems and a simplified visualization of a schematic floor layout using a shoebox approach, inspired from the energy modelling domain. The shoeboxes in our case are repeatable modules within a schematic floor plan layout, whose enclosures are defined by parametric 2D surfaces representing total ratios of permanent supports versus infill components. Thus, the assembly of modular surface enclosures simplifies the LCA evaluation process by avoiding the need to accurately specify the physical properties of each building component across the floor plan. The presented workflow facilitates the selection of alternative structural systems and materials for their comparison, and outputs the Global Warming Potential (GWP) in the form of an intuitive visualization output. The workflow for simplified evaluation is illustrated through a case study that compares the GWP for selected combinations of material choice and construction systems.
keywords	Computational life cycle assessment tool, embodied carbon, parametric design, construction systems, global warming potential
series	journal
email
last changed	2021/06/03 23:29

_id	ecaade2021_109
id	ecaade2021_109
authors	Doumpioti, Christina and Huang, Jeffrey
year	2021
title	Intensive Differences in Spatial Design - Reversing form-finding
doi	https://doi.org/10.52842/conf.ecaade.2021.1.009
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 9-16
summary	Drawing from the philosophy of science, 'intensive' qualities define differences in degree instead of 'extensive' ones that define additive quantities. More relevant to architecture, intensive differences can define transient boundaries such as warmness and coolness, dryness and moisture, light and shadow, or visual accessibility, to name a few.The question that serves as a starting point of this study is whether the attributes mentioned above can become form-giving agents during the design process and, therefore, whether they become fundamental parameters for the conceptualization and configuration of extensive spatial qualities. This question is explored using Generative Adversarial Networks and image-to-image translation. The dataset consists of two types of images; one consists of spatial configurations representing extensive attributes. The second set depicts intensive characteristics of visual accessibility. The study proposes a conceptual model and workflow that reverses form-finding and enables the design of environments through the specification of desired intensive attributes. Furthermore, it discusses the advantage of working with this method in search of architectural environments with embedded spatial experiences.
keywords	Intensive Differences; Form-Finding; Isovist Simulation; conditional Generative Adversarial Networks (cGAN)
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ascaad2021_065
id	ascaad2021_065
authors	Fraschini, Matteo; Julian Raxworthy
year	2021
title	Territories Made by Measure: The Parametric as a Way of Teaching Urban Design Theory
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 494-506
summary	Design tools like Grasshopper are often used to either generate novel forms, to automate certain design processes or to incorporate scientific factors. However, any Grasshopper definition has certain assumptions about design and space built into it from its earliest genesis, when the initial algorithm is set out. Correspondingly, implicit theoretical positions are built into definitions, and therefore its results. Approaching parametric design as a question of architectural, landscape architectural or urban design theory allows the breaking down of traditional boundaries between the technical and the historical or theoretical, and the way parametric design, and urban design history & theory, can be conveyed in the teaching environment. Once the boundaries between software and history & theory are transgressed, Grasshopper can be a way of testing the principles embedded in historical designs and thus these two disciplines can be joined. In urban design, there is an inherent clash between an ideal model and existing urban geography or morphology, and also between formal (qualitative) and numerical (quantitative) aspects. If a model provides a necessary vision for future development, an existing topography then results from the continuous human and natural modifications of a territory. To explore this hypothesis, the “Urban Design Representation” subject in the Master of Urban Design program at the University of Cape Town taught in 2017 & 2018 was approached “parametrically” from these two opposite, albeit convergent, starting points: the conceptual/rational versus the physical/empiric representations of a territory. In this framework, Grasshopper was used to represent typical standards and parameters of modern urban planning (for example, Floor/Area Ratio, height and distance between buildings, site coverage, etc), and a typological approach was adopted to study and “decode” the relationship between public and private space, between the street, the block and topography, between solids and voids. This methodology permits a cross-comparison of different urban design models and the immediate evaluation of their formal outputs derived from parametric data.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	caadria2021_118
id	caadria2021_118
authors	Huang, Chien-hua
year	2021
title	Reinforcement Learning for Architectural Design-Build - Opportunity of Machine Learning in a Material-informed Circular Design Strategy
doi	https://doi.org/10.52842/conf.caadria.2021.1.171
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 171-180
summary	This paper discusses the potentials of reinforcement learning in game engine for design, implementation, and construction of architecture. It inaugurates a new design tool that promotes a material-informed design-build workflow for architectural design and construction industries that achieves a comprehensive circular economy. As a proof of concept, it uses the project Reform Standard, a machine-learning-based searching system that designs new shell structures composed of existing wasted materials, as a demonstration to discuss how reinforcement learning, machine vision and automated searching algorithm in the game engine can promote a material-aware design and converts wastes into construction materials. The demonstrator project sorts and transforms irregular chunks of wasted broken plastics into a new form. Instead of recycling those wastes in an energy-intensive process, the game engine is capable of finding the intricacy and new machine-oriented aesthetics in those otherwise neglected wastes. Furthermore, future research directions such as robotic-aided construction are discussed by exposing the potentials and problems in the demonstrated project. Finally, the future circular strategy is discussed beyond the demonstrated tests and local uses. The standardization of material, legislation and material lifecycle needs to be comprehensively considered and designed by architects and designers during conceptual design phase.
keywords	Reinforcement Learning; ML-Agents; Unity3D; circular design; geometric analysis
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	sigradi2021_200
id	sigradi2021_200
authors	Karabagli, Kaan, Koc, Mustafa, Basu, Prithwish and As, Imdat
year	2021
title	A Machine Learning Approach to Translate Graph Representations into Conceptual Massing Models
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 191–202
summary	Machine learning (ML) has popular applications in domains involving image, video, text and voice. However, in architecture, image-based ML systems face challenges capturing the complexity of three-dimensional space. In this paper, we leverage a graph-based ML system that can capture the inherent topology of architectural conceptual designs and identify high-performing latent patterns within such designs. In particular, our goal is to translate architectural graph data into three-dimensional massing models. We are building on our prior ML work, where we, a. discovered latent topological features, b. composed building blocks into new designs, c. evaluated their feasibility, and d. explored Generative Adversarial (Neural) Networks (GAN)-generated design variations. We trained the ML system with architectural design data that we gathered from an online architectural design competition platform, translated them into machine-readable graph representations, and identified their essential subgraphs to develop novel compositions. In this paper, we explore how these novel designs (outputted in graph form), can be translated into three-dimensional architectural form. We present an ML approach to turn graph representations into functional volumetric massing models. The ultimate goal of the study is to develop an end-to-end pipeline to generate architectural design - from a graph representation to a fully developed conceptual proxy of a designed product. The research question is promising in automating conceptual design, and we believe the outcome can be relevant to other design disciplines as well.
keywords	Architectural design, machine learning, conceptual design, deep learning, artificial intelligence
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	acadia21_280
id	acadia21_280
authors	Koleva, Denitsa; Özdemir, Eda; Tsiokou, Vaia; Dierichs, Karola
year	2021
title	Designing Matter
doi	https://doi.org/10.52842/conf.acadia.2021.280
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 280-291.
summary	Autonomously shape-changing granular materials are investigated as architectural construction materials. They allow the embedding of different mechanical behaviors in the same material system through the design of their component particles. Granular materials are defined as large numbers of individual elements of larger than a micron. Because they are not bound to each other, only the contact forces act between them. The design of individual particles affects the behavior of a granular substance composed of such materials. The design process involves the definition of the form and materiality of the particle in relation to the desired function of the granular material. If shape-change materials are deployed in the making of the particles, the granular material can have more than one designed behavior, for example, both liquid and solid phases. Autonomously shape-changing granular materials have seldom been explored in either architecture or granular physics. Thus their exploration is both a relevant and a novel contribution to the field of granular architectures in specific and computational architectural design in general. This article outlines the field of autonomously shape-changing granular materials and embeds them in the current state. Experimental and simulation methods for the development of shape-changing particles and granular materials are introduced. A case study on the development and testing of autonomously shape-changing particles made from a bimetal is also presented. Further research is outlined with respect to the practical, methodological, and conceptual development of an autonomously shape-changing designed granular material.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaadesigradi2019_478
id	ecaadesigradi2019_478
authors	Nardelli, Eduardo Sampaio
year	2019
title	BIM training in Brazil - Preparing professionals for BIM adoption by public administration
doi	https://doi.org/10.52842/conf.ecaade.2019.2.305
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. 305-314
summary	On May 2018 the Brazilian federal government published the Decree 9.377 setting a National Strategy for Information and Dissemination of Building Information Modelling - BIM to enable its adoption by public administration. This strategy has nine targets and among them the task of training professionals in BIM to support the demand that should be generated. A period between 2018 and 2021 has been planned to establish learning objectives and develop model disciplines, a process that, however, should not start from scratch because there are already some BIM training initiatives being performed in the country since the early 2000s. This paper has done an overview on this production highlighting some relevant conceptual contributions to this debate aiming to address challenges and possible ways to support the expected Architectural and Engineering courses restructuring.
keywords	BIM, Education, Architecture, Engineering and Construction
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:58

_id	ecaade2021_208
id	ecaade2021_208
authors	Rodríguez Hernández, José Luis, Cortes Perez, Juan Pedro, Gradisar, Luka and Figueiredo, Bruno
year	2021
title	Structural Grid Predesign using Generative Design for Residential Building with Steel Structure on BIM Models - Structural grid predesign using generative design
doi	https://doi.org/10.52842/conf.ecaade.2021.2.059
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 59-66
summary	Due to the more significant architectural complexity, it is helpful to include structural analysis studies in the early design stages. An architectural team typically carries out the structural grid fit in this phase. This limitation may lead to the structural distribution in the initial phase not being the most appropriate. This work aims to provide a tool for architects oriented design by optimising the cost of the structure, making an initial layout for residential buildings with the regular shape of steel structures using the generative design, which allows the creation of structural BIM models that comply with the requirements of stability and resistance for gravity design specified in the American code ASCE 360 as starting point on the conceptual design. The paper describes the computational design development for the structural building grid using multi-criteria optimisation solved by a genetic algorithm.
keywords	Generative Design; Building Information Modelling (BIM); Structural Predesign; Structural Grid; Multi-Objective Optimisation
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2021_108
id	ecaade2021_108
authors	Romero, Rosaura Noemy Hernandez and Pak, Burak
year	2021
title	Understanding Design Justice in a Bottom-up Housing through Digital Actor-Network Mapping - The case of solidary mobile housing in Brussels
doi	https://doi.org/10.52842/conf.ecaade.2021.1.131
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 131-140
summary	This paper is a study of an ongoing housing project in Brussels (SMH) which involves bottom-up spatial occupation and 'making' by activists, activist architects, social workers and citizens. The particular focus of this paper is on the critical spatial agency of the citizens, activist-architects and artefacts for enabling architectural design justice (ADJ) in the SMH. Building on the Actor-Network Theory of Latour (2005) we developed an analytic method called Actor Link Mapping and Analysis (ALMA) which involves data collection from a wide range of network actors, the generation of a variety of digital network maps, making computational analysis, followed by workshops and interviews to discuss the findings. ALMA was used to recognize potential assets which are essential for design justice practices and networks. The analysis revealed the limits to community control of design processes and practices as well as limits to the conceptual links surrounding socio-spatial equality, thus limits to design justice in the SMH project. Our research also revealed a plethora of new roles and agencies in bottom-up housing production which were essential to understanding the dynamics and power distribution among the different actors.
keywords	Network Mapping; Network Analysis; Housing; Co-creation; Design Justice; Actor-Network Theory
series	eCAADe
email
last changed	2022/06/07 07:56

_id	sigradi2021_285
id	sigradi2021_285
authors	Santos Vicente, Ana Carolina and Mônaco dos Santos, Denise
year	2021
title	Tectonics and Computational Design Processes: Conceptual Perspectives
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 377–388
summary	The concept of tectonics in architecture has evolved constantly in the past two centuries, but since the beginning of the “Digital Era” these theoretical changes have gained substance, and the term has been called “digital tectonics". There is still uncertainty, however, whether this new approach within computational process maintains the seminal poetical aspect of Frampton’s definition. This study examines the emerging meanings of digital tectonics in the context of the traditional perspective, considering the main authors and recently published papers. The results show that, despite few arguments in favor of the contradiction between the words tectonics and digital, there are many similarities in the way the tectonics elements are manipulated in both the traditional and computational design processes. The insights gained from this study may be of assistance to discussions regarding the role of tectonics in the design thinking in the context of computational logics and digital fabrication.
keywords	Processos de projeto, Tectônica digital, Teoria do design.
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	caadria2021_074
id	caadria2021_074
authors	Song, Yanan, Li, Keke, Lin, Yuqiong and Yuan, Philip F.
year	2021
title	Research on Self-Formation Wind Tunnel Platform Design based on dynamic gridding mechanical devices
doi	https://doi.org/10.52842/conf.caadria.2021.2.669
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 669-678
summary	Nowadays, climate problems, such as urban ventilation, heat island effect are becoming increasingly serious. Performance-oriented buildings that respond positively to the environment are constructing a sustainable future of the living environment. This research introduces an autonomous Self-Formation Wind Tunnel (SFWT) platform based on 120 dynamic grid mechanical devices, and its building cluster morphology generation workflow in the conceptual design stage, for the rapid and mass formation experiments. The Self-formation wind tunnel plat-form, which has the advantages of both perceptive and real-time data, is able to use the techniques of machine learning to provide a new design paradigm, from environmental performance to physical morphology.
keywords	Self-Formation Wind Tunnel; Building Cluster Morphology; Dynamic Models; Mechanical Grid Devices; Environment Performance Design
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2021_243
id	caadria2021_243
authors	Stojanovic, Djordje and Vujovic, Milica
year	2021
title	Contactless and context-aware decision making for automated building access systems
doi	https://doi.org/10.52842/conf.caadria.2021.2.193
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 193-202
summary	In the current context of the COVID-19 pandemic, contactless solutions are becoming increasingly important to making buildings more resilient to the spread of infectious diseases in complementing social distancing and disinfection procedures for disease prevention. The presented study focuses on contactless technology and its role beyond automated interaction with the built environment by examining how it expedited space use and could improve compliance with sanitary norms. We introduce a conceptual framework for the intelligent operation of automated doors in an educational facility, enabled by the network of sensory devices and the application of computational techniques. Our research indicates how versatile data gathered by RFID systems, in conjunction with data extracted from occupancy schedules and sanitary protocols, can be used to enable the intelligent and context-aware application of disease prevention measures. In conclusion, we discuss the benefits of the proposed concept and its role beyond the need for social distancing after the pandemic.
keywords	Human-Building Interaction; Interactive Environments; Responsive Environments; Occupancy Scheduling; Occupational Density
series	CAADRIA
email
last changed	2022/06/07 07:56

For more results click below: