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	ijac201816103
id	ijac201816103
authors	Alani, Mostafa W.
year	2018
title	Algorithmic investigation of the actual and virtual design space of historic hexagonal-based Islamic patterns
source	International Journal of Architectural Computing vol. 16 - no. 1, 34-57
summary	This research challenges the long-standing paradigm that considers compositional analysis to be the key to researching historical Islamic geometric patterns. Adopting a mathematical description shows that the historical focus on existing forms has left the relevant structural similarities between historical Islamic geometric patterns understudied. The research focused on the hexagonal-based Islamic geometric patterns and found that historical designs correlate to each other beyond just the formal dimension and that deep, morphological connections exist in the structures of historical singularities. Using historical evidence, this article identifies these connections and presents a categorization system that groups designs together based on their “morphogenetic” characteristics.
keywords	Islamic geometric patterns, morphology, computations, digital design, algorithmic thinking
series	journal
email
last changed	2019/08/07 14:03

_id	acadia18_36
id	acadia18_36
authors	Austin, Matthew; Matthews, Linda
year	2018
title	Drawing Imprecision. The digital drawing as bits and pixels
doi	https://doi.org/10.52842/conf.acadia.2018.036
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
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_336
id	acadia18_336
authors	Forren, James; Nicholas, Claire
year	2018
title	Lap, Twist, Knot. Intentionality in digital-analogue making environments
doi	https://doi.org/10.52842/conf.acadia.2018.336
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. 336-341
summary	This paper discusses a theoretical approach and method of making in computational design and construction. The project examines digital and analogue building practices through a social anthropological and STS lens to better understand the use of technology in complex making environments. We position this with respect to contemporary investigations of materials in architecture which use physical and virtual prototyping and collaborative building. Our investigation extends this work by parsing complex making through ethnographic analysis. In doing so we seek to recalibrate computational design methods which privilege rote execution of digital form. This inquiry challenges ideas of agency and intention as ‘enabled’ by new technologies or materials. Rather, we investigate the troubling (as well as extension) of explicit designer intentions by the tacit intentions of technologies. Our approach is a trans-disciplinary investigation synthesizing architectural making and ethnographic analysis. We draw on humanistic and social science theories which examine activities of human-technology exchange and architectural practices of algorithmic design and fabrication. We investigate experimental design processes through prototyping architectural components and assemblies. These activities are examined by collecting data on human-technology interactions through field notes, journals, sketches, and video recordings. Our goal is to foster (and acknowledge) more complex, socially constructed methods of design and fabrication. This work in progress, using a cement composite fabric, is a preliminary study for a larger project looking at complex making in coordination with public engagement.
keywords	work in progress, illusory dichotomies, design theory & history, materials/adaptive systems, collaboration, hybrid practices
series	ACADIA
type	paper
email
last changed	2022/06/07 07:51

_id	ijac201816304
id	ijac201816304
authors	Miao, Yufan; Reinhard Koenig, Katja Knecht, Kateryna Konieva, Peter Buš and Mei-Chih Chang
year	2018
title	Computational urban design prototyping: Interactive planning synthesis methods—a case study in Cape Town
source	International Journal of Architectural Computing vol. 16 - no. 3, 212-226
summary	This article is motivated by the fact that in Cape Town, South Africa, approximately 7.5 million people live in informal settlements and focuses on potential upgrading strategies for such sites. To this end, we developed a computational method for rapid urban design prototyping. The corresponding planning tool generates urban layouts including street network, blocks, parcels and buildings based on an urban designer’s specific requirements. It can be used to scale and replicate a developed urban planning concept to fit different sites. To facilitate the layout generation process computationally, we developed a new data structure to represent street networks, land parcellation, and the relationship between the two. We also introduced a nested parcellation strategy to reduce the number of irregular shapes generated due to algorithmic limitations. Network analysis methods are applied to control the distribution of buildings in the communities so that preferred neighborhood relationships can be considered in the design process. Finally, we demonstrate how to compare designs based on various urban analysis measures and discuss the limitations that arise when we apply our method in practice, especially when dealing with more complex urban design scenarios.
keywords	Procedural modeling, spatial synthesis, generative design, urban planning
series	journal
email
last changed	2019/08/07 14:03

_id	ecaade2018_405
id	ecaade2018_405
authors	Belém, Catarina and Leit?o, António
year	2018
title	From Design to Optimized Design - An algorithmic-based approach
doi	https://doi.org/10.52842/conf.ecaade.2018.2.549
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. 549-558
summary	Stringent requirements of efficiency and sustainability lead to the demand for buildings that have good performance regarding different criteria, such as cost, lighting, thermal, and structural, among others. Optimization can be used to ensure that such requirements are met. In order to optimize a design, it is necessary to generate different variations of the design, and to evaluate each variation regarding the intended criteria. Currently available design and evaluation tools often demand manual and time-consuming interventions, thus limiting design variations, and causing architects to completely avoid optimization or to postpone it to later stages of the design, when its benefits are diminished. To address these limitations, we propose Algorithmic Optimization, an algorithmic-based approach that combines an algorithmic description of building designs with automated simulation processes and with optimization processes. We test our approach on a daylighting optimization case study and we benchmark different optimization methods. Our results show that the proposed workflow allows to exclude manual interventions from the optimization process, thus enabling its automation. Moreover, the proposed workflow is able to support the architect in the choice of the optimization method, as it enables him to easily switch between different optimization methods.
keywords	Algorithmic Design; Algorithmic Analysis; Algorithmic Optimization; Lighting optimization; Black-Box optimization
series	eCAADe
email
last changed	2022/06/07 07:54

_id	sigradi2023_39
id	sigradi2023_39
authors	Borges, Marina, Karantino, Lucas and Gorges, Diego
year	2023
title	Walkability: Digital Parametric Process for Analyzing and Evaluating Walkability Criteria in Peripheral Central Regions of Belo Horizonte
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 397–408
summary	According to one of the Sustainable Development Goals (UN, 2018), it is important for cities to be inclusive, safe, resilient, and sustainable. Therefore, it is necessary to value pedestrians and consequently active mobility, giving priority to the concepts of the Transportation Oriented Development (TOD) methodology. Although the Master Plan (BELO HORIZONTE, 2019) proposes that areas located in regional centralities are enhancing active mobility, can residents actually benefit from these resources at a walkable distance to access basic services? Thus, the aim of this research is to utilize digital technologies to visualize, analyze, and assess pedestrians' access conditions to commerce and basic services, identifying areas lacking infrastructure. The goal is for the model to serve as a reference for the development of public policies. To achieve this, metadata was used for parametric modeling to study walkability in the peripheral region of the city of Belo Horizonte.
keywords	Walkability, Urban Data Analysis, Urban Design, Parametric Urbanism, Algorithmic Logic
series	SIGraDi
email
last changed	2024/03/08 14:07

_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
doi	https://doi.org/10.52842/conf.caadria.2018.1.111
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
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	caadria2018_086
id	caadria2018_086
authors	Castelo Branco, Renata and Leit?o, António
year	2018
title	Algorithmic Architectural Visualization
doi	https://doi.org/10.52842/conf.caadria.2018.2.557
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 557-566
summary	Digitally-generated visualizations, such as renders or movies, are, nowadays, commonly used as representation methods for architectural creations. This occurs not only in final stages of the process, with the goal of selling the product's image, but also in midst creation process to express concepts and ideas. Presently, the spread of parametric and algorithmic approaches to design creates a problem for visualization, as it enables the almost effortless change of 3D models, thus requiring repeated visualization efforts to keep up with the changes applied to the design. To solve this, we propose extending the algorithmic design approach to also include the high-level description of architectural image creation. The methodology, Algorithmic Architectural Visualization (AAV), also contemplates the required preparation settings for the visualization process, and includes possible visualization productions inspired by film techniques.
keywords	Algorithmic Design; Architectural Visualization; Render; Film Grammar
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ecaadesigradi2019_249
id	ecaadesigradi2019_249
authors	Chiarella, Mauro, Gronda, Luciana and Veizaga, Martín
year	2019
title	RILAB - architectural envelopes - From spatial representation (generative algorithm) to geometric physical optimization (scientific modeling)
doi	https://doi.org/10.52842/conf.ecaade.2019.3.017
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 17-24
summary	Augmented graphical thinking operates by integrating algorithmic, heuristic, and manufacturing processes. The Representation and Ideation Laboratory (RILAB-2018) exercise begins with the application of a parametric definition developed by the team of teachers, allowing for the construction of structural systems by the means of the combination of segmental shells and bending-active. The main objetive is the construction of a scientific model of simulation for bending-active laminar structures has brought into reality trustworthy previews for architectural envelopes through the interaction of parametrized relational variables. This way we put designers in a strategic role for the building of the pre-analysis models, allowing more preciseness at the time of picking and defining materials, shapes, spaces and technologies and thus minimizing the decisions based solely in the definition of structural typological categories, local tradition or direct experience. The results verify that the strategic integration of models of geometric physical optimization and spatial representation greatly expand the capabilities in the construction of the complex system that operates in the act of projecting architecture.
keywords	architectural envelopes; augmented graphic thinking; geometric optimization; bending-active
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	ecaade2018_182
id	ecaade2018_182
authors	Ghandi, Mona
year	2018
title	Designing Affordable, Portable, and Flexible Shelter for the Homeless and the Refugees
doi	https://doi.org/10.52842/conf.ecaade.2018.1.307
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. 307-316
summary	Advances in computational algorithmic design, material science, and fabrication technology have exposed architects to new opportunities in design and enabled them to address contemporary needs of cities and citizens. The far-reaching applications of this technology have provided students with a bewildering array of new tools for their design exploration. Among many of the socio-economic and political challenges facing today's world, homelessness and refugee crisis are the most critical. "Shape Your Shelter" design-build studio aimed to create a portable and transformable shelter using emergent technologies. This paper reviews some of the central concepts of such an endeavor and the role of computational design, digital fabrication, and material behavior as a medium of architectural design education and social services. It describes how these concepts can be used in a pedagogical framework to encourage student Innovation and increase students' engagement in new technological resources as they address critical contemporary and future social issues.
keywords	Transformable Structures; Portable Architecture; Collaborative and Participative Design; Homeless / Refugee Shelter; CAAD Education; Social Architecture
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ecaade2018_247
id	ecaade2018_247
authors	Ilunga, Guilherme and Leit?o, António
year	2018
title	Derivative-free Methods for Structural Optimization
doi	https://doi.org/10.52842/conf.ecaade.2018.1.179
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. 179-186
summary	The focus on efficiency has grown over recent years, and nowadays it is critical that buildings have a good performance regarding different criteria. This need prompts the usage of algorithmic approaches, analysis tools, and optimization algorithms, to find the best performing variation of a design. There are many optimization algorithms and not all of them are adequate for a specific problem. However, Genetic Algorithms are frequently the first and only option, despite being considered last resort algorithms in the mathematical field. This paper discusses methods for structural optimization and applies them on a structural problem. Our tests show that Genetic Algorithms perform poorly, while other algorithms achieve better results. However, they also show that no algorithm is consistently better than the others, which suggests that for structural optimization, several algorithms should be used, instead of simply using Genetic Algorithms.
keywords	Derivative-free Optimization; Black-box Optimization; Structural Optimization; Algorithmic Design
series	eCAADe
email
last changed	2022/06/07 07:49

_id	ecaade2018_w14
id	ecaade2018_w14
authors	Karóczkai, Ákos
year	2018
title	Parametric BIM Models in ARCHICAD - The Grasshopper - ARCHICAD Live Connection
doi	https://doi.org/10.52842/conf.ecaade.2018.1.063
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. 63-64
summary	Parametric modelling is a very trending topic in the Architecture Engineering and Construction industry. There is an ever-growing challenge in the industry about how it is possible to document freeform and very design-oriented projects (created in Rhinoceros) in BIM. The ultimate goal of architectural and design projects is to be able to realize the building based on the 2D documentation. Currently Rhinoceros and Grasshopper are the industry-leading algorithmic solutions in the AEC industry. To complement such workflows, GRAPHISOFT developed a live connection between Grasshopper and ARCHICAD in order to generate BIM models, directly from the Visual Programming Interface (Grasshopper) and bridge the gap between the freeform, conceptual- and the BIM worlds.
keywords	Parametric; BIM; ARCHICAD
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ecaade2018_317
id	ecaade2018_317
authors	Kontovourkis, Odysseas and Doumanidis, Constantine C
year	2018
title	ICARUS Project - An Open Source Platform for Computer Programming in Architectural Teaching and Research
doi	https://doi.org/10.52842/conf.ecaade.2018.1.341
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. 341-350
summary	This paper, presents an ongoing work entitled ICARUS, an abbreviation for 'Integrating Computerized ARchitecture with USers'. The aim of this work is to develop an open source platform for computer programming implemented in architecture, for teaching and research. In particular, the platform provides the framework for a simplified and user friendly textual programming methodology for the needs of our architectural institution. It consists of several modules like coding, plug-in and repository development, targeting to be publicly available in the future. The platform is created based on the Python programming language, which is run in Grasshopper, a plug-in for Rhino 3D. In the first phase of ICARUS development, several case studies within the framework of a postgraduate course are conducted, aiming at providing an overview of its potentials, limitations and generally, its impact on establishing a useful methodology for algorithmic thinking among students with little or no prior computer programming skills.
keywords	Computer programming; Open source platform; Parametric design; Plug-in development; Algorithmic thinking
series	eCAADe
email
last changed	2022/06/07 07:51

_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	caadria2018_228
id	caadria2018_228
authors	Newton, David
year	2018
title	Accommodating Change and Open-Ended Search in Design Optimization
doi	https://doi.org/10.52842/conf.caadria.2018.2.175
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 175-184
summary	Many real-world architectural multi-objective problems (MOPs) are dynamic and may have objectives, decision variables, and constraints that change during the optimization process. These problems are known as dynamic MOPs (DMOPs). Dynamic multi-objective evolutionary algorithms (DMOEAs) have emerged in the fields of optimization, operations research, and computer science as one way to address the challenges posed by DMOPs. DMOEAs offer new capacities for exploration and interaction with the designer, but they have not yet been studied in the field of architecture. This research addresses these issues through the development of a unique interactive DMOEA-based design tool for the conceptual design phase. We propose a new modification to the popular nondominated sorting genetic algorithm II (NSGA-II), that we call the dynamic progressive for architecture NSGA-II (DPA-NSGA-II). We show that DPA-NSGA-II outperforms NSGA-II in finding novel solutions.
keywords	algorithmic design; multi-objective optimization; evolutionary computation; parametric design; generative design
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	ecaade2018_323
id	ecaade2018_323
authors	Newton, David
year	2018
title	Multi-Objective Qualitative Optimization (MOQO) in Architectural Design
doi	https://doi.org/10.52842/conf.ecaade.2018.1.187
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. 187-196
summary	Architectural design problems are often multi-objective in nature, involving both qualitative and quantitative objectives. Previous research has focused exclusively on the development of multi-objective optimization algorithms that work with multiple quantitative objectives. No previous research has looked at the topic of multi-objective qualitative optimization (MOQO), in which multiple qualitative objectives are optimized simultaneously. This research addresses MOQO through the development of a unique multi-objective optimization algorithm for the conceptual design phase that uses three-dimensional convolutional neural networks (3D CNNs) to measure user-defined qualities in architectural massing models.
keywords	multi-objective optimization; generative design; multi-objective qualitative optimization; algorithmic design
series	eCAADe
email
last changed	2022/06/07 07:58

_id	ecaade2018_325
id	ecaade2018_325
authors	Peteinarelis, Alexandros and Yiannoudes, Socrates
year	2018
title	Parametric Models and Algorithmic Thinking in Architectural Education
doi	https://doi.org/10.52842/conf.ecaade.2018.2.401
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. 401-410
summary	Part of our research and teaching agenda at the School of Architecture of the Technical University of Crete focuses on algorithmic design with parametric models, its methodological characteristics and the study of applied and theoretical work that defined this architectural design thinking. Our work challenges architectural design processes, through the systematic study of parametric models. This paper presents three projects from the undergraduate elective course "Special Topics in Architectural Design", which took place during the spring semester of 2017, that investigated parametric models for a given architectural problem, inspired, to some extent, by precedents in 20th century architecture where students traced algorithmic design thinking. Although students understood well the concept and function of parametric models and in many cases applied them successfully for their design objectives, several of them did not fully assimilate some critical aspects of computation. This allowed us to determine areas of improvement and points of complete reevaluation in our educational strategy approach.
keywords	algorithmic thinking; parametric model; computational thinking; architectural education; Frei Otto
series	eCAADe
email
last changed	2022/06/07 08:00

_id	ecaade2018_420
id	ecaade2018_420
authors	Peters, Brady, Akiyama, Mitchell, Abou Ras, Ous and Lamb, Sean
year	2018
title	Spatial Sonic Network - Designing and prototyping acoustic mirrors for communication
doi	https://doi.org/10.52842/conf.ecaade.2018.1.571
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. 571-580
summary	The Spatial Sonic Network is a proposal for a series of parabolic acoustic mirrors that collect, focus, and translate sound. Computational tools were used extensively throughout the project, to realize algorithmic logic, to integrate acoustic performance into the architectural design process, and to link design models to fabrication machinery. While conceptually straightforward, the design of acoustic mirrors, also known as sound mirrors, raised several challenges in terms of network design, geometry definition, acoustic performance simulation, prototyping, and measuring. The research and results that emerged from these challenges is the focus of this paper.
keywords	Architectural Acoustics; Performance Simulation; Prototyping
series	eCAADe
email
last changed	2022/06/07 08:00

_id	sigradi2018_1267
id	sigradi2018_1267
authors	Sedrez, Maycon; Martino, Jarryer
year	2018
title	The future of architects’ digital records: how to preserve algorithmic 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. 5-10
summary	Recently architects and archivists started to consider solutions for the digitization of architectural records and conservation of born-digital files. Documenting, organizing, cataloguing, archiving, preserving and accessing files are essential tasks to preserve architects’ digital records. With the increasing quantity of algorithmic design another aspect of the digital design must be on architects’ agenda: the memory of the design process. This paper emphasises the importance of preserving digital architecture records in accessible and sustainable formats for the generations to come. This paper demonstrates a strategy to document visual programming algorithm files allowing to archive, study, interpret or replicate them.
keywords	Algorithmic design; ICT; Architecture digital records; Metadata; Memory
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	ecaade2018_124
id	ecaade2018_124
authors	Asanowicz, Aleksander
year	2018
title	Digital Architectural Composition in Virtual Space
doi	https://doi.org/10.52842/conf.ecaade.2018.2.703
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. 703-710
summary	The paper is divided into two main parts. The first part refers to the history of attempts to use VR technology in the process of architectural space creation in a dynamic way. The second part presents the experiment carried out at our Faculty, in which we implemented VR in the Digital Architectural Composition course. This experiment was divided into two parts. In the both parts Google Blocks software was used. In the first part we have used the first exercises which was completed by students during the first semester in a traditional way (a cardboard mock-up) and then in the third semester as a digital model in Cinema 4D. It was a Solid form with. In the second part of this experiment we asked students to create a sketch of walk through space and they can created their own shapes in their design. The analysis of the results allows to formulate the thesis that there is a qualitative revolution in the area of human-computer interface. The main conclusion is that Virtual Reality eliminates the boundaries between the spectator and the space and that the idea - Designing Become a Place" is still actual.
keywords	Architectural composition; virtual reality; direct design
series	eCAADe
email
last changed	2022/06/07 07:54

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