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	caadria2018_076
id	caadria2018_076
authors	Sun, Chengyu, Wang, Yuze, Zheng, Zhaohua, Sun, Tongyu and Ruiz, Laura
year	2018
title	MR. SAP: An Assistant Co-working with Architects in a Tangible-Model-Based Design Process
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. 555-564
doi	https://doi.org/10.52842/conf.caadria.2018.1.555
summary	To avoid interruption on architects' tangible-object-based design process, MR.SAP is being developed to co-work with architects as a cost-acceptable personal solution with tangible user interface, which can scan the tangible object, analyze its digital counterpart, and prompt visualized suggestions upon it through a portable projector in real time. It extends the user's capabilities of form perception, real time calculation, and operational positioning upon tangible objects, which can better serve his subjective aesthetic taste and design aims.
keywords	mixed reality; projector and camera system; manual craft; co-working
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ijac202018202
id	ijac202018202
authors	Pasquero, Claudia and Marco Poletto
year	2020
title	Bio-digital aesthetics as value system of post-Anthropocene architecture
source	International Journal of Architectural Computing vol. 18 - no. 2, 120-140
summary	It is timely within the Anthropocene era, more than ever before, to search for a non-anthropocentric mode of reasoning, and consequently designing. The PhotoSynthetica Consortium, established in 2018 and including London-based ecoLogicStudio, the Urban Morphogenesis Lab (Bartlett School of Architecture, University College London) and the Synthetic Landscape Lab (University of Innsbruck, Austria), has therefore been pursuing architecture as a research-based practice, exploring the interdependence of digital and biological intelligence in design by working directly with non-human living organisms. The research focuses on the diagrammatic capacity of these organisms in the process of growing and becoming part of complex bio-digital architectures. A key remit is training architects’ sensibility at recognising patterns of reasoning across disciplines, materialities and technological regimes, thus expanding the practice’s repertoire of aesthetic qualities. Recent developments in evolutionary psychology demonstrate that the human sense of beauty and pleasure is part of a co-evolutionary system of mind and surrounding environment. In these terms, human senses of beauty and pleasure have evolved as selection mechanisms. Cultivating and enhancing them compensate and integrate the functions of logical thinking to gain a systemic view on the planet Earth and the dramatic changes it is currently undergoing. This article seeks to illustrate, through a series of recent research projects, how a renewed appreciation of beauty in architecture has evolved into an operational tool to design and measure its actual ecological intelligence.
keywords	Bio-digital, bio-computation, bio-city, effectiveness, empathy, impact, sensing
series	journal
email
last changed	2020/11/02 13:34

_id	ijac201816102
id	ijac201816102
authors	Harmon, Brendan A.; Anna Petrasova, Vaclav Petras, Helena Mitasova and Ross Meentemeyer
year	2018
title	Tangible topographic modeling for landscape architects
source	International Journal of Architectural Computing vol. 16 - no. 1, 4-21
summary	We present Tangible Landscape—a technology for rapidly and intuitively designing landscapes informed by geospatial modeling, analysis, and simulation. It is a tangible interface powered by a geographic information system that gives three- dimensional spatial data an interactive, physical form so that users can naturally sense and shape it. Tangible Landscape couples a physical and a digital model of a landscape through a real-time cycle of physical manipulation, three-dimensional scanning, spatial computation, and projected feedback. Natural three-dimensional sketching and real-time analytical feedback should aid landscape architects in the design of high performance landscapes that account for physical and ecological processes. We conducted a series of studies to assess the effectiveness of tangible modeling for landscape architects. Landscape architecture students, academics, and professionals were given a series of fundamental landscape design tasks—topographic modeling, cut-and-fill analysis, and water flow modeling. We assessed their performance using qualitative and quantitative methods including interviews, raster statistics, morphometric analyses, and geospatial simulation. With tangible modeling, participants built more accurate models that better represented morphological features than they did with either digital or analog hand modeling. When tangibly modeling, they worked in a rapid, iterative process informed by real-time geospatial analytics and simulations. With the aid of real-time simulations, they were able to quickly understand and then manipulate how complex topography controls the flow of water.
keywords	Human–computer interaction, tangible interfaces, tangible interaction, landscape architecture, performance, geospatial modeling, topographic modeling, hydrological modeling
series	journal
email
last changed	2019/08/07 14:03

_id	caadria2019_665
id	caadria2019_665
authors	Jin, Jinxi, Han, Li, Chai, Hua, Zhang, Xiao and Yuan, Philip F.
year	2019
title	Digital Design and Construction of Lightweight Steel-Timber Composite Gridshell for Large-Span Roof - A Practice of Steel-timber Composite Gridshell in Venue B for 2018 West Bund World AI Conference
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 183-192
doi	https://doi.org/10.52842/conf.caadria.2019.1.183
summary	Timber gridshell is an efficient structural system. However, the feature of double curved surface result in limitation of practical application of timber gridshell. Digital technology provides an opportunity to break this limitation and achieve a lightweight free-form gridshell. In the practice of Venue B for 2018 West Bund World AI Conference, architects and structural engineers cooperated to explore innovative design of lightweight steel-timber composite gridshell with the help of digital tools. Setting digital technology as support and restrains of the project as motivation, the design tried to achieve the realization of material, structure, construction and spatial expression. The digital design and construction process will be discussed from four aspects, including form-finding of gridshell surface, steel-timber composite design, digital detailed design and model-based fabrication and construction. We focuses on the use of digital tools in this process, as well as the role of the design subject.
keywords	Timber Gridshell; Steel-timber Composite; Digital Design and Construction; Lightweight Structure; Large-span Roof
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	ecaade2018_170
id	ecaade2018_170
authors	Shahsavari, Fatemeh, Koosha, Rasool, Vahid, Milad R., Yan, Wei and Clayton, Mark
year	2018
title	Towards the Application of Uncertainty Analysis in Architectural Design Decision-Making - A Probabilistic Model and Applications
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. 295-304
doi	https://doi.org/10.52842/conf.ecaade.2018.1.295
summary	To this day, proper handling of uncertainties -including unknown variables in primary stages of a design, an actual climate data, occupants' behavior, and degradation of material properties over the time- remains as a primary challenge in an architectural design decision-making process. For many years, conventional methods based on the architects' intuition have been used as a standard approach dealing with uncertainties and estimating the resulting errors. However, with buildings reaching great complexity in both their design and material selections, conventional approaches come short to account for ever-existing but unpredictable uncertainties and prove incapable of meeting the growing demand for precise and reliable predictions. This study aims to develop a probability-based framework and associated prototypes to employ uncertainty analysis and sensitivity analysis in architectural design decision-making. The current research explores an advanced physical model for thermal energy exchange characteristics of a hypothetical building and uses it as a test case to demonstrate the proposed probability-based analysis framework. The proposed framework provides a means to employ uncertainty and sensitivity analysis to improve reliability and effectiveness in a buildings design decision-making process.
keywords	Probability-based design decision; uncertainty analysis; sensitivity analysis; building energy consumption model
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2018_232
id	ecaade2018_232
authors	Al Bondakji, Louna, Chatzi, Anna-Maria, Heidari Tabar, Minoo, Wesseler, Lisa-Marie and Werner, Liss C.
year	2018
title	VR-visualization of High-dimensional Urban Data
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. 773-780
doi	https://doi.org/10.52842/conf.ecaade.2018.2.773
summary	The project aims to investigate the possibility of VR in a combination of visualizing high-dimensional urban data. Our study proposes a data-based tool for urban planners, architects, and researchers to 3D visualize and experience an urban quarter. Users have a possibility to choose a specific part of a city according to urban data input like "buildings, streets, and landscapes". This data-based tool is based on an algorithm to translate data from Shapefiles (.sh) in a form of a virtual cube model. The tool can be scaled and hence applied globally. The goal of the study is to improve understanding of the connection and analysis of high-dimensional urban data beyond a two-dimensional static graph or three-dimensional image. Professionals may find an optimized condition between urban data through abstract simulation. By implementing this tool in the early design process, researchers have an opportunity to develop a new vision for extending and optimizing urban materials.
keywords	Abstract Urban Data Visualization; Virtual Reality; Geographical Information System
series	eCAADe
email
last changed	2022/06/07 07:54

_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
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
doi	https://doi.org/10.52842/conf.ecaade.2018.2.549
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	acadia18_286
id	acadia18_286
authors	Claire Im, Hyeonji; AlOthman, Sulaiman; García del Castillo, Jose Luis
year	2018
title	Responsive Spatial Print. Clay 3D printing of spatial lattices using real-time model recalibration
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. 286-293
doi	https://doi.org/10.52842/conf.acadia.2018.286
summary	Additive manufacturing processes are typically based on a horizontal discretization of solid geometry and layered deposition of materials, the speed and the rate of which are constant and determined by the stability criteria. New methods are being developed to enable three-dimensional printing of complex self-supporting lattices, expanding the range of possible outcomes in additive manufacturing. However, these processes introduce an increased degree of formal and material uncertainty, which require the development of solutions specific to each medium. This paper describes a development to the 3D printing methodology for clay, incorporating a closed-loop feedback system of material surveying and self-correction to recompute new depositions based on scanned local deviations from the digital model. This Responsive Spatial Print (RSP) method provides several improvements over the Spatial Print Trajectory (SPT) methodology for clay 3D printing of spatial lattices previously developed by the authors. This process compensates for the uncertain material behavior of clay due to its viscosity, malleability, and deflection through constant model recalibration, and it increases the predictability and the possible scale of spatial 3D prints through real-time material-informed toolpath generation. The RSP methodology and early successful results are presented along with new challenges to be addressed due to the increased scale of the possible outcomes.
keywords	work in progress, closed loop system, spatial clay printing, self-supporting lattice, in-situ printking, extrusion rate, material behavior
series	ACADIA
type	paper
email
last changed	2022/06/07 07:52

_id	caadria2021_089
id	caadria2021_089
authors	Cristie, Verina, Ibrahim, Nazim and Joyce, Sam Conrad
year	2021
title	Capturing and Evaluating Parametric Design Exploration in a Collaborative Environment - A study case of versioning for parametric design
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. 131-140
doi	https://doi.org/10.52842/conf.caadria.2021.2.131
summary	Although parametric modelling and digital design tools have become ubiquitous in digital design, there is a limited understanding of how designers apply them in their design processes (Yu et al., 2014). This paper looks at the use of GHShot versioning tool developed by the authors (Cristie & Joyce, 2018; 2019) used to capture and track changes and progression of parametric models to understand early-stage design exploration and collaboration empirically. We introduce both development history graph-based metrics (macro-process) and parametric model and geometry change metric (micro-process) as frameworks to explore and understand the captured progression data. These metrics, applied to data collected from three cohorts of classroom collaborative design exercises, exhibited students' distinct modification patterns such as major and complex creation processes or minor parameter explorations. Finally, with the metrics' applicability as an objective language to describe the (collaborative) design process, we recommend using versioning for more data-driven insight into parametric design exploration processes.
keywords	Design exploration; parametric design; history recording; version control; collaborative design
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2018_139
id	ecaade2018_139
authors	Cudzik, Jan and Radziszewski, Kacper
year	2018
title	Artificial Intelligence Aided Architectural Design
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. 77-84
doi	https://doi.org/10.52842/conf.ecaade.2018.1.077
summary	Tools and methods used by architects always had an impact on the way building were designed. With the change in design methods and new approaches towards creation process, they became more than ever before crucial elements of the creation process. The automation of architects work has started with computational functions that were introduced to traditional computer-aided design tools. Nowadays architects tend to use specified tools that suit their specific needs. In some cases, they use artificial intelligence. Despite many similarities, they have different advantages and disadvantages. Therefore the change in the design process is more visible and unseen before solution are brought in the discipline. The article presents methods of applying the selected artificial intelligence algorithms: swarm intelligence, neural networks and evolutionary algorithms in the architectural practice by authors. Additionally research shows the methods of analogue data input and output approaches, based on vision and robotics, which in future combined with intelligence based algorithms, might simplify architects everyday practice. Presented techniques allow new spatial solutions to emerge with relatively simple intelligent based algorithms, from which many could be only accomplished with dedicated software. Popularization of the following methods among architects, will result in more intuitive, general use design tools.
keywords	computer aideed design; artificial intelligence,; evolutionary algorithms; swarm behaviour; optimization; parametric design
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2018_433
id	ecaade2018_433
authors	Daher, Elie, Kubicki, Sylvain and Pak, Burak
year	2018
title	Participation-based Parametric Design in Early Stages - A participative design process for spatial planning in office building
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. 429-438
doi	https://doi.org/10.52842/conf.ecaade.2018.1.429
summary	The term participation has been used to define different activities, such as civil debate, communication, consultation, delegation, self-help construction, political decisions. However, participation in design started from the idea that individuals whom being affected by a design project must contribute to the design process. Recently, designers have been moving closer to the future users and developing new ways to empower them to get involved in the design process. In this paper we rethink the way the early design process is developed in a participatory approach thanks to parametric methods. A use case is proposed showing the potential of parametric design methods to empower the participation of users in the design of their facilities. The use case is dealing in particular with the spatial planning of an office building where the users together with the spatial planning team are able to design the layout spatial configuration by 1) fixing the objectives, 2) manipulating the model, 3)modifying some parameters, 4) visualizing the iterations and evaluating in a real-time each solution in an interactive 3D environment and together with facility managers 5) choosing the configuration of the spatial layout.
keywords	Computational design; Participatory design; Optimization ; Parametric design
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaaderis2018_104
id	ecaaderis2018_104
authors	Hollberg, Alexander, Hildebrand, Linda and Habert, Guillaume
year	2018
title	Environmental design - Lessons learned from teaching LCA
source	Odysseas Kontovourkis (ed.), Sustainable Computational Workflows [6th eCAADe Regional International Workshop Proceedings / ISBN 9789491207143], Department of Architecture, University of Cyprus, Nicosia, Cyprus, 24-25 May 2018, pp. 65-74
keywords	Architects largely define the environmental impact a building will cause throughout its life cycle. Especially decisions taken in early design stages have a great influence on the environmental performance. The integration of environmental assessment into the design process requires adequate tools and basic knowledge of the architects using them. This paper discusses both aspects by means of two case studies with students. In both case studies, the goal was to use Life Cycle Assessment (LCA) to optimize the environmental performance of the building in the design process. The results of the first case study proved the benefits of using LCA-based information for decision-making, but some issues of using the tool during the design process became evident. In the second case study an improved LCA-tool was employed that proved to be applicable by all students. Nevertheless, only one group used the feedback to optimize the building design in an iterative process as intended by the supervisors. This leads to the conclusion that the difficulty of environmental design shifted from a lack of adequate assessment tools to the question of the design approach.
series	eCAADe
email
last changed	2018/05/29 14:33

_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	acadia18_294
id	acadia18_294
authors	Kieffer, Lynn; Nicholas, Paul
year	2018
title	Pneumatically Actuated Material. Exploration of the mophospace of an adaptable system of soft actuators
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. 294-301
doi	https://doi.org/10.52842/conf.acadia.2018.294
summary	This research in progress investigates a design and fabrication method of an adaptable and programmable composite material in an embodied computation system. It develops a workflow for a behavior-based model, the exploration of the morpho-space associated with the combinatorial assembly and the actuation of soft elements. The aggregation of individually actuatable and soft units in a system creates a large potential regarding adaptability, flexibility and reconfigurability, through a non-rigid and non-mechanical system. The cells are developed through a process of prototyping on origami and auxetic pattern inspired soft robotic elements. Every soft cell is pneumatically actuated through a negative pressure environment. The computational simulation is informed by the prototyping process and its findings. The simulation-based design of such an assembled system allows prediction of the aggregated shape and outputs a sequencing table, describing the actuation status of every cell and can create a tool to communicate between material and computational system
keywords	work in progress,pneumatic actuation, adaptable soft material
series	ACADIA
type	paper
email
last changed	2022/06/07 07:52

_id	ecaade2018_180
id	ecaade2018_180
authors	Kwieciñski, Krystian and Markusiewicz, Jacek
year	2018
title	HOPLA - Interfacing Automation for Mass-customization
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. 159-168
doi	https://doi.org/10.52842/conf.ecaade.2018.2.159
summary	HOPLA (Home Planner) is a computer-aided design system aimed at simplifying customization of house design. It merges aspects of user-centered computer-aided design with machine-centered computerized design, as defined by Negroponte in The Architecture Machine. The tool was developed to fulfill mass-customization principles without compromising mass production efficiency and to support users' participation in design processes to help them formulate expectations and search for design solutions. We describe the details of the system development and its possible use in the process of mass-customization and participatory design of single-family houses. The system consists of two core elements: an algorithm based on a generic grammar responsible for generating design solutions in relation to user input, and a Tangible User Interface allowing users to introduce data and to control the process in an intuitive way. The main challenge in developing the system was to synchronize the freedom of user's design decisions with the rigor of machine's verification process.
keywords	mass-customization; participatory design; tangible user interface; house design; generative design
series	eCAADe
email
last changed	2022/06/07 07:55

_id	acadia20_164p
id	acadia20_164p
authors	Lange, Christian; Ratoi, Lidia; Co Lim, Dominic; Hu, Jason; Baker, David M.; Yu, Vriko; Thompson, Phil
year	2020
title	Reformative Coral Habitats
source	ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 164-169
summary	Coral reefs are some of the most diverse ecologies in the marine world. They are the habitat to tens of thousands of different marine species. However, these wildlife environments are endangered across the globe. Recent research estimates that around 75 percent of the remaining coral reefs are currently under threat. In 2018 after a devastating storm, Hong Kong lost around 80% of its existing corals. Consequently, a team consisting of marine biologists and architects at The University of Hong Kong has developed a series of performative structures that have been deployed in the city's waters in July 2020, intending to aid new coral growth over the coming years. The project was commissioned by the Agriculture, Fisheries, and Conservation Department (AFCD) and is part of an ongoing active management measure for coral restoration in Hoi Ha Wan Marine Park in Hong Kong. The following objectives were defined as part of the design and fabrication research of the project. To develop a design strategy that builds on the concept of biomimicry to allow for complex spaces to occur that would provide attributes against the detachment of the inserted coral fragment, hence could enhance a diverse marine life specific to the context of the cities water conditions. To generate an efficient printing path that accommodates the specific morphological design criteria and ensures structural integrity and the functional aspects of the design. To develop an efficient fabrication process with a DIW 3D printing methodology that considers warping, shrinkage, and cracking in the clay material. The research team developed a method that combined an algorithmic design approach for the design of different geometries with a digital additive manufacturing process utilizing robotic 3D clay printing. The overall fabrication strategy for the complex and large pieces sought to ensure structural longevity, optimize production time, and tackle the involved double-sided printing method. Overall, 128 tiles were printed, covering roughly 40sqm of the seabed.
series	ACADIA
type	project
email
last changed	2021/10/26 08:03

_id	ecaade2018_201
id	ecaade2018_201
authors	Mansourimajoumerd, Parinaz and Mahdavinejad, Mohammadjavad
year	2018
title	Kinetic Architecture - Reinterpreting Persian Mathematics and Astronomy
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. 605-612
doi	https://doi.org/10.52842/conf.ecaade.2018.1.605
summary	The world where humans live in, is constantly changing. In order to interact with these conditions, it is necessary for the architects to create an environment with sufficient dynamics based on the needs and behavior of its users. Kinetic architecture allows occupants to experience new environments which could cause raising the efficiency of the buildings. Therefore, constructions with kinetic elements could serve better utilitarian purposes in different fields.In the following essay, studies are about using kinetic design and fabrication method in one project despite ordinary ways regard to the two main points; 1. The impact of Khayyam's mathematics and astronomy on the proposed kinetic architecture and 2. Creating interaction Between Indigenous ideas and Contemporary Architecture in Khayyam Memorial Pavilion. As a result, a model is designed and several prototypes have been built.This essay illustrates that with making a connection among architecture and other fields of study could lead designers to be more creative according to the existing limitation in each project.
keywords	Kinetic architecture; Interactive architecture; Hyperboloid modules; Omar Khayyam
series	eCAADe
email
last changed	2022/06/07 07:59

_id	acadia18_46
id	acadia18_46
authors	Marcus, Adam; Kudless, Andrew
year	2018
title	Drawing Codes. Experimental protocols of architectural representation
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. 46-55
doi	https://doi.org/10.52842/conf.acadia.2018.046
summary	Emerging technologies of design and production have largely changed the role of drawings within the contemporary design process from that of design generators to design products. As architectural design has shifted from an analog drawing-based paradigm to that of a computational model-based paradigm, the agency of the drawing as a critical and important form of design representation has greatly diminished. As our design tools have increasingly become computational and the production of our drawings have become predominantly automated, this paper examines the effects on the architectural discipline and attempts to catalog examples of how artists, designers, architects, and programmers have used rule-based techniques in the process of drawing as a critical act in their process. Furthermore, the paper presents the Drawing Codes project, an ongoing research and exhibition platform that critically investigates the intersection of code and drawing: how rules and constraints inform the ways architects document, analyze, represent, and design the built environment. The project features commissioned drawings by a range of contemporary architects and designers as a means of gathering a diverse set of perspectives on how computational techniques, but more importantly, computational thinking, can reexamine the role of architectural drawing as a creative and critical act.
keywords	full paper, design theory & history, representation + perception, procedural design, art and technology
series	ACADIA
type	paper
email
last changed	2022/06/07 07:59

_id	acadia18_434
id	acadia18_434
authors	Meibodi, Mania Aghaei ; Jipa, Andrei; Giesecke, Rena; Shammas, Demetris; Bernhard, Mathias; Leschok, Matthias; Graser, Konrad; Dillenburger, Benjamin
year	2018
title	Smart Slab. Computational design and digital fabrication of a lightweight concrete slab
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. 434-443
doi	https://doi.org/10.52842/conf.acadia.2018.434
summary	This paper presents a computational design approach and novel digital fabrication method for an optimized lightweight concrete slab using a 3D-printed formwork. Smart Slab is the first concrete slab fabricated with a 3D-printed formwork. It is a lightweight concrete slab, displaying three-dimensional geometric differentiation on multiple scales. The optimization of slab systems can have a large impact on buildings: more compact slabs allow for more usable space within the same building volume, refined structural concepts allow for material reduction, and integrated prefabrication can reduce complexity on the construction site. Among the main challenges is that optimized slab geometries are difficult to fabricate in a conventional way because non-standard formworks are very costly. Novel digital fabrication methods such as additive manufacturing of concrete can provide a solution, but until now the material properties and the surface quality only allow for limited applications. The fabrication approach presented here therefore combines the geometric freedom of 3D binderjet printing of formworks with the structural performance of fiber reinforced concrete. Using 3D printing to fabricate sand formwork for concrete, enables the prefabrication of custom concrete slab elements with complex geometric features with great precision. In addition, space for building systems such as sprinklers and Lighting could be integrated in a compact way. The design of the slab is based on a holistic computational model which allows fast design optimization and adaptation, the integration of the planning of the building systems, and the coordination of the multiple fabrication processes involved with an export of all fabrication data. This paper describes the context, design drivers, and digital design process behind the Smart Slab, and then discusses the digital fabrication system used to produce it, focusing on the 3D-printed formwork. It shows that 3D printing is already an attractive alternative for custom formwork solutions, especially when strategically combined with other CNC fabrication methods. Note that smart slab is under construction and images of finished elements can be integrated within couple of weeks.
keywords	full paper, digital fabrication, computation, generative design, hybrid practices
series	ACADIA
type	paper
email
last changed	2022/06/07 07:58

_id	caadria2018_180
id	caadria2018_180
authors	Mekawy, Mohammed and Petzold, Frank
year	2018
title	BIM-Based Model Checking in the Early Design Phases of Precast Concrete Structures
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. 71-80
doi	https://doi.org/10.52842/conf.caadria.2018.2.071
summary	Designers often carry out their work in the early design stages with disregard to prefabrication requirements, leading to poorly thought out design decisions in terms of precast concrete planning efficiency. If precast expertise could be integrated early into design schemes, this would improve design efficiency, reduce errors and misalignments, and save time at every design iteration. The objective is not to replace precast domain experts, but to help architects make better-informed design decisions. This research is part of a wider investigation that aims to develop a rule-based expert system to support an automated review of precast concrete requirements in BIM models in the early design stages, proactively providing feedback for design decision support. This specific paper summarizes the theoretical part of the research and proposes a way to formalize precast expert knowledge as rule-sets in a tabular form that can be later programmed and integrated in a BIM platform for automated checking of BIM models.
keywords	Precast Concrete; Rule-based checking; BIM-based model checking; Expert system; Decision tables
series	CAADRIA
email
last changed	2022/06/07 07:58

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