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	sigradi2021_94
id	sigradi2021_94
authors	Deon, Luisa, Isele, Priscila and Mussi, Andrea
year	2021
title	Codesign and Digital Technologies: Including the Child in The Playground Design Process in a Pocket
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. 1321–1332
summary	The vast majority of children's environments are planned and organized considering the perceptions of adults. Co-design is an important tool for adding users to design process. The objective of this work is to include children in the design process of a Pocket Park, using methods and tools to support Co-design. The work was structured based on literature review, Focus Group, Culture Maker, Digital Fabrication and Prototyping. Two online synchronous workshops were held with 23 students and 2 primary school teachers. A survey indicated that the collaborative project has a great contribution in the design process of urban spaces. Promotes assertive communication between those involved, welcoming their ideas in a flexible way. It also indicates that Digital Fabrication and Prototyping equipment are important vehicles in the construction of objects that facilitate communication during the design process, such as toys present in children's daily lives. Finally, there was a rich exchange of information and learning during the design process.
keywords	Codesign, Espaços Abertos, Fabricaçao Digital.
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	ijac202119311
id	ijac202119311
authors	Kovacs, Adam Tamas; Micsik, Andras
year	2021
title	BIM quality control based on requirement linked data
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 3, 431–448
summary	This article discusses a BIM Quality Control Ecosystem that is based on Requirement Linked Data in order to create a framework where automated BIM compliance checking methods can be widely used. The meaning of requirements is analyzed in a building project context as a basis for data flow analysis: what are the main types of requirements, how they are handled, and what sources they originate from. A literature review has been conducted to find the present development directions in quality checking, besides a market research on present, already widely used solutions. With the conclusions of these research and modern data management theory, the principles of a holistic approach have been defined for quality checking in the Architecture, Engineering and Construction (AEC) industry. A comparative analysis has been made on current BIM compliance checking solutions according to our review principles. Based on current practice and ongoing research, a state-of-the-art BIM quality control ecosystem is proposed that is open, enables automation, promotes interoperability, and leaves the data governing responsibility at the sources of the requirements. In order to facilitate the flow of requirement and quality data, we propose a model for requirements as Linked Data and provide example for quality checking using Shapes Constraint Language (SHACL). As a result, an opportunity is given for better quality and cheaper BIM design methods to be implemented in the industry.
keywords	Compliance check, quality assurance, quality control, linked data, requirement, BIM
series	journal
email
last changed	2024/04/17 14:29

_id	ecaade2021_069
id	ecaade2021_069
authors	Yan, Muchen and Tamke, Martin
year	2021
title	Augmented Reality for Experience-centered Spatial Design - A quantitative assessment method for architectural space
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. 173-180
doi	https://doi.org/10.52842/conf.ecaade.2021.1.173
summary	While interaction and product design are using data-driven methods on a daily basis, not only similar data but also methods for making use of such data for designing architectural space is missing. The spatial design feedback loop is broken, as we lack quantitative assessment systems that reveal experience and interaction from the user's perspective. This paper describes the first of its kind development of a spatial assessment and design methodology utilizing Augmented Reality headsets, aiming to fill the gaps in the spatial design iteration loop.
keywords	Augmented Reality; Behaviour Tracking; Feedback Loop; Occupancy Observation; Mixed Reality
series	eCAADe
email
last changed	2022/06/07 07:57

_id	caadria2021_144
id	caadria2021_144
authors	Zhu, Lufeng, Wibranek, Bastian and Tessmann, Oliver
year	2021
title	Robo-Sheets - Double-Layered Structure Based on Robot-Aided Plastic Sheet Thermoforming
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. 643-652
doi	https://doi.org/10.52842/conf.caadria.2021.1.643
summary	Computational design, in combination with robotic fabrication, allows the exploration of complex geometrical differentiation. Notably, thermoplastic sheet materials offer great potential for explorations in robotic fabrication due to their mailable qualities. However, the production of complex shapes from flat-sheet-thermoplastic materials usually depends on molds or on time-consuming procedures. This paper introduces a workflow for the design and fabrication of a double-curved surface made from plastic sheets, which develops a self-supporting structure through using robot-aided one-punch thermoforming. The thickness of a double-curved surface is optimized by applying the Finite Element Method. Notably, forming thermoplastic into a minimal surface strengthens its mechanical properties and this takes a relatively short period of time. According to the relationship between moment and stress in section, two connected minimal-surfaces form a three-dimensional I-profile, making it possible to construct a highly material-efficient structure. Unlike the normal form-finding process, the structure is not limited to compression-only geometry. Compared to thermoforming methods such as Single Point Incremental Forming (SPIF), our one-punch forming process described in this paper shows demonstrates high precision while being less time-consuming. Here, we present a one-to-one scale working prototype as proof of our approach.
keywords	Robotic fabrication; Plastic sheet thermoforming; Lightweight structure; Self-supporting structure; Minimal surface
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ascaad2021_021
id	ascaad2021_021
authors	Albassel, Mohamed; Mustafa Waly
year	2021
title	Applying Machine Learning to Enhance the Implementation of Egyptian Fire and Life Safety Code in Mega Projects
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. 7-22
summary	Machine Learning has become a significant research area in architecture; it can be used to retrieve valuable information for available data used to predict future instances. the purpose of this research was to develop an automated workflow to enhance the implementation of The Egyptian fire & life safety (FLS) code in mega projects and reduce the time wasted on the traditional process of rooms’ uses, occupant load, and egress capacity calculations to increase productivity by applying Supervised Machine Learning based on classification techniques through data mining and building datasets from previous projects, and explore the methods of preparation and analyzing data (text cleanup- tokenization- filtering- stemming-labeling). Then, provide an algorithm for classification rules using C# and python in integration with BIM tools such as Revit-Dynamo to calculate cumulative occupant load based on factors which are mentioned in the Egyptian FLS code, determine classification and uses of rooms to validate all data related to FLS. Moreover, calculating the egress capacity of means of egress for not only exit doors but also exit stairs. In addition, the research is to identify a clear understanding about ML and BIM through project case studies and how to build a model with the needed accuracy.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	ascaad2021_151
id	ascaad2021_151
authors	Allam, Samar; Soha El Gohary, Maha El Gohary
year	2021
title	Surface Shape Grammar Morphology to Optimize Daylighting in Mixed-Use Building Skin
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. 479-492
summary	Building Performance simulation is escalating towards design optimization worldwide utilizing computational and advanced tools. Egypt has its plan and agenda to adopt new technologies to mitigate energy consumption through various sectors. Energy consumption includes electricity, crude oil, it encompasses renewable and non-renewable energy consumption. Egypt Electricity (EE) consumption by sector percentages is residential (47%), industrial (25%) and commercial (12%), with the remainder used by government, agriculture, public lighting and public utilities (4%). Electricity building consumption has many divisions includes HVAC systems, lighting, Computers and Electronics and others. Lighting share of electricity consumption can vary from 11 to 15 percent in mixed buildings as in our case study which definitely less that the amount used for HVAC loads. This research aims at utilizing shape morphogenesis on facades using geometric shape grammar to enhance daylighting while blocking longwave radiations causing heat stress. Mixed-use building operates in daytime more than night which emphasizes the objective of this study. Results evaluation is referenced to LEED v4.1 and ASHRAE 90.1-2016 window-to-wall ratio calibration and massive wall description. Geometric morphogenesis relies on three main parameters; Pattern (Geometry Shape Grammar: R1, R2, and R3), a reference surface to map from, and a target surface to map to which is the south-western façade of the case study. Enhancing Geo-morph rule is to guarantee flexibility due to the rotation of sun path annually with different azimuth and altitude angles and follow LEED V4.1 enhancements of opaque wall percent for building envelope.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	cdrf2021_231
id	cdrf2021_231
authors	Andrea Macruz, Ernesto Bueno, Gustavo G. Palma, Jaime Vega, Ricardo A. Palmieri, and Tan Chen Wu
year	2021
title	Measuring Human Perception of Biophilically-Driven Design with Facial Micro-expressions Analysis and EEG Biosensor
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_22
summary	This paper investigates the role technology and neuroscience play in aiding the design process and making meaningful connections between people and nature. Using two workshops as a vehicle, the team introduced advanced technologies and Quantified Self practices that allowed people to use neural data and pattern recognition as feedback for the design process. The objective is to find clues to natural elements of human perception that can inform the design to meet goals for well-being. A pattern network of geometric shapes that achieve a higher level of monitored meditation levels and point toward a positive emotional valence is proposed. By referencing biological forms found in nature, the workshops utilized an algorithmic process that explored how nature can influence architecture. To measure the impact, the team used FaceOSC for capture and an Artificial Neural Network for micro-expression recognition, and a MindWave sensor manufactured by NeuroSky, which documented the human response further. The methodology allowed us to establish a boundary logic, ranking geometric shapes that suggested positive emotions and a higher level of monitored meditation levels. The results pointed us to a deeper level of understanding relative to geometric shapes in design. They indicate a new way to predict how well-being factors can clarify and rationalize a more intuitive design process inspired by nature.
series	cdrf
email
last changed	2022/09/29 07:53

_id	ecaade2021_085
id	ecaade2021_085
authors	Apolinarska, Aleksandra Anna, Kuhn, Mathias, Gramazio, Fabio and Kohler, Matthias
year	2021
title	Performance-Driven Design of a Reciprocal Frame Canopy - Timber structure of the FutureTree
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. 497-504
doi	https://doi.org/10.52842/conf.ecaade.2021.1.497
summary	This paper presents the design process of a recently built, 107 m2 free-form timber frame canopy. The structure is an irregular, funnel-shaped reciprocal frame resting on a central concrete column, and has been fabricated using a robot-based assembly process. The project addresses several known design and fabrication challenges: modelling of free-form reciprocal frames, complex interrelations between their geometry and structural behaviour, as well as develops custom software tools to represent different models and interface design and structural analysis environments. The performance-driven design is exemplified by studies on the relationship between geometric parameters of the reciprocal frame and the resulting force-flow and flexural stiffness of the structure. The final design is obtained by differentiating geometry and stiffness to reduce deflection and tensile stresses while observing fabrication constraints.The project demonstrates the application of computational design to create customized, performance-driven and robotically fabricated structures, and its successful realization validates the methods under real-life planning and construction conditions.
keywords	Integrated computational design ; Performance-based design ; Reciprocal frames ; Timber structures; Robotic fabrication
series	eCAADe
email
last changed	2022/06/07 07:55

_id	caadria2021_447
id	caadria2021_447
authors	Belek Fialho Teixeira, Muge, Pham, Kieu, Caldwell, Glenda, Seevinck, Jennifer, Swann, Levi, Rittenbruch, Markus, Kelly, Nick, Santo, Yasuhiro, Garcia-Hansen, Veronica and Voltz, Kirsty
year	2021
title	A User-Centred Focus on Augmented Reality and Virtual Reality in AEC: Opportunities and Barriers Identified by Industry Professionals - OPPORTUNITIES AND BARRIERS IDENTIFIED BY INDUSTRY PROFESSIONALS
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. 273-283
doi	https://doi.org/10.52842/conf.caadria.2021.2.273
summary	This paper presents insights into the opportunities and barriers for using augmented reality (AR) and virtual reality (VR) in the architecture, engineering and construction (AEC) industry by contextualising how their adoption is leveraged in practices. Based on a review of literature, a qualitative study using semi-structured interviews was conducted with thirteen participants from AEC industries between five and thirty years of experience. Interviews were conducted face-to-face and virtually using questions focusing on participants experiences, perceptions of, and opinions about the use of AR/VR in AEC practice. Qualitative dissemination of key insights highlighted immediate and future possibilities for AR/VR, with current limitations that require future investigation from a user-centred perspective. Suggesting a XR-PACT framework, this paper frames key directions for future research to address current limitations and explore new opportunities that positively impact architecture and other professions, communities of building users.
keywords	Augmented Reality; Virtual Reality; AEC; User Experience; Technology Adoption
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	sigradi2021_281
id	sigradi2021_281
authors	Bernal, Marcelo, Vegas, Gonzalo, Williams, Marvina and Andersen, Katie
year	2021
title	Quantification of Effective Temporal Exposure to Daylight Illuminance Levels in Healthcare Settings
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. 315–326
summary	The purpose of this study is the quantification of the exposure of occupants to daylight illuminance levels. The case study is the typical floor of a patient tower occupied by nurses in twelve hours shifts, from 7 am to 7 pm. Significant evidence exists regarding the positive impact of access to daylight on staff outcomes in healthcare facilities in terms of reduction of stress, absenteeism, medication errors, and burn outs. However, the standard daylight simulation methods evaluate the building and do not capture the dynamic nature of people’s behavior while moving through the space. The proposed approach combines agent-based simulation and daylight performance analysis to compute the occupants’ exposure to daylight levels throughout the year. The results show the discrepancies between building-centric and human-centric types of analysis and the contribution of dynamic simulation methods to design occupancy schedules to warranty equitable access to daylight to building occupants.
keywords	Event model, Building occupancy, Behavior modeling, Space-use analysis, Design tools
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	caadria2021_146
id	caadria2021_146
authors	Calixto, Victor, Canuto, Robson, Noronha, Marcela, Afrooz, Aida, Gu, Ning and Celani, Gabriela
year	2021
title	A layered approach for the data-driven design of smart cities
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. 739-748
doi	https://doi.org/10.52842/conf.caadria.2021.2.739
summary	Current approaches to smart cities have focused on implementing technologies to harvest and analyse data through sensors and artificial intelligence to improve urban performance from the top-down. However, cities are complex systems of interconnected layers that change at different speeds. More persistent layers, like networks and occupation, must have smartness embedded in them through smarter design processes. In recent years, there has been an increase in digital tools for urban design, applying computational design methods and data analytics strategies, enabling collaborative and evidence-based approaches that support sustainable urban design. A critical evaluation of their potential to inform design is necessary to aid practitioners to choose and adopt these novel strategies and tools in practice. This paper presents a critical review of selected data-driven design cloud platforms, focusing on data-driven urban design approaches that can enable the use of ICTs to steer cities into a smarter future from the bottom-up.
keywords	Smart Cities; Data-Driven Urban Design; Computational Design
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	sigradi2021_114
id	sigradi2021_114
authors	Cesar Rodrigues, Ricardo, Kenzo Imagawa, Marcelo, Rubio Koga, Renan and Bertola Duarte, Rovenir
year	2021
title	Big Data vs Smart Data on the Generation of Floor Plans with Deep Learning
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. 217–228
summary	Due to the progressive growth of data dimensionality, addressing how much data and time is required to train deep learning models has become an important research topic. Thus, in this paper, we present a benchmark for generating floor plans with Conditional Generative Adversarial Networks in which we compare 10 trained models on a dataset of 80.000 samples, the models use different data dimensions and hyper-parameters on the training phase, beyond this objective, we also tested the capability of Convolutional Neural Networks (CNN) to reduce the dataset noise. The models' assessment was made on more than 6 million with the Frétche Inception Distance (FID). The results show that such models can rapidly achieve similar or even better FID results if trained with 800 images of 512x512 pixels, in comparison to high dimensional datasets of 256x256 pixels, however, using CNNs to enhance data consistency reproduced optimal results using around 27.000 images.
keywords	Floor plans, Generative design, Generative adversarial networks, Smart Data, Dataset reduction.
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	ecaade2021_080
id	ecaade2021_080
authors	Chen, Hao, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2021
title	Development of an Augmented Reality System with Reflection Implementation for Landscape Design Visualization using a Planar Reflection Method in Real-Time Rendering
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. 547-554
doi	https://doi.org/10.52842/conf.ecaade.2021.2.547
summary	Augmented reality (AR) in landscape design review scenarios has become an important tool that helps designers express their designs and allows stakeholders to more easily understand how the designs will look on the actual site. This study aimed to add the reflection of a virtual design model on the surface of the water in an existing AR system, thereby providing a more complete representation of the waterfront landscape design. First, we constructed an AR system using a smartphone linked to a computer. Then, a virtual surface model was predefined manually according to the water surface area on-site. A planar reflection method was introduced to generate an accurate reflection effect in real-time. Moreover, the reflection was simulated to ripple together with the water surface, providing a visually authentic look. Thus, the virtual model was able to accurately display the real-time reflection effect on the water surface in this realistic environment. Our findings indicate that future tasks could involve the implementation of other interactive optical effects for landscape design visualization, such as refraction simulation for underwater illumination design.
keywords	augmented reality; reflection; landscape architectural design; waterscape; interactive visualization; computer-aided design in architecture
series	eCAADe
email
last changed	2022/06/07 07:55

_id	caadria2021_266
id	caadria2021_266
authors	Chen, Yao, Lo, Tiantian, Guo, Xiangmin, Du, Ruijie and Hu, Xinchuang
year	2021
title	Interactive Virtual Sand Table - A theoretical review on its application towards Urban Planning
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. 629-638
doi	https://doi.org/10.52842/conf.caadria.2021.2.629
summary	The sand table is a tool of expression of urban planning.With the development of computer science and technology,virtual reality technology is playing an important role in many aspects of urban planning and design,as well as,the virtual sand table.This article analyzes the limitations of the current urban planning sand table from designers and other participants perspectives. It analyses the advantages of applying interactive technology in a sand table for urban planning and proposes using such interactive technology in the future. This paper will also investigate three aspects of interactions: human-computer interaction technology, collaborative interaction technology, remote visual interaction technology. The application of interactive technology on the virtual sand table, on the one hand, can carry out a multi-angle forward-looking analysis of the problems of urban construction and improve the efficiency of planning and approval, and development; on the other hand, it can increase public participation in urban planning and design.
keywords	interactive technology; urban planning; urban planning sand table; electronic sand table
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2021_142
id	caadria2021_142
authors	Cruz Gambardella, Camilo and McCormack, Jon
year	2021
title	Searching for designs in-between - Exploration of design space using a 3D printing-inspired evolutionary system.
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. 111-120
doi	https://doi.org/10.52842/conf.caadria.2021.1.111
summary	The use of evolutionary methods in design and art is increasing in diversity and popularity. Approaches to using these methods for creative production typically focus either on optimisation or exploration. In this paper we introduce an evolutionary system for design that combines these two approaches, enabling users to explore landscapes of design alternatives using design-oriented measures of fitness, along with their own aesthetic preferences. We test our methods using a biologically-inspired generative system capable of producing 3D objects that can be exported directly as 3D printing toolpath instructions. For the search stage of our system we combine the use of the CMA-ES algorithm for optimisation and linear interpolation between generated objects for feature exploration. We investigate the systems capabilities by evolving highly fit artefacts and then combining them with aesthetically interesting ones.
keywords	Generative Design; Evolutionary Design; 3D Printing
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia21_270
id	acadia21_270
authors	Dambrosio, Niccolo; Schlopschnat, Christoph; Zechmeister, Christoph; Rinderspacher, Katja; Duque Estrada, Rebeca; Knippers, Jan; Kannenberg, Fabian; Menges, Achim; Gil Peréz, Marta
year	2021
title	Maison Fibre
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. 270-279.
doi	https://doi.org/10.52842/conf.acadia.2021.270
summary	This research demonstrates the development of a hybrid FRP-timber wall and slab system for multi-story structures. Bespoke computational tools and robotic fabrication processes allow for adaptive placement of material according to specific local requirements of the structure thus representing a resource-efficient alternative to established modes of construction. This constitutes a departure from pre-digital, material-intensive building methods, based on isotropic materials towards genuinely digital building systems using lightweight, hybrid composite elements. Design and fabrication methods build upon previous research on lightweight fiber structures conducted at the University of Stuttgart and expand it towards inhabitable, multi-story building systems. Interdisciplinary design collaboration based on reciprocal computational feedback allows for the concurrent consideration of architectural, structural, fabrication and material constraints. The robotic coreless filament winding process only uses minimal, modular formwork and allows for the efficient production of morphologically differentiated building components. The research results were demonstrated through Maison Fibre, developed for the 17th Architecture Biennale in Venice. Situated at the Venice Arsenale, the installation is composed of 30 plate like elements and depicts a modular, further extensible scheme. While this first implementation of a hybrid multi-story building system relies on established glass and carbon fiber composites, the methods can be extended towards a wider range of materials ranging from ultra-high-performance mineral fiber systems to renewable natural fibers.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ijac202119308
id	ijac202119308
authors	Dinçer, Sevde Gülizar; Yazar, Tugrul
year	2021
title	A comparative analysis of the digital re-constructions of muqarnas systems: The case study of Sultanhani muqarnas in Central Anatolia
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 3, 360–385
summary	This paper presents a comparative case study on the digital modeling workflows of a particular muqarnas system. After the literature review and the definition of the context, several digital modeling workflows were described as element-based, tessellation-based and block-based workflows by using computer-aided design and parametric modeling software. As the case study of this research, these workflows were tested on a muqarnas design located at the Sultanhani Caravanserai in Central Anatolia. Then, workflows were compared according to three qualities: analytical, generative, and performative. The outcomes of element-based workflow has more analytical solutions for the study, where tessellation-based workflow has more generative potential and block-based workflow is more performative.
keywords	Anatolian Seljuk muqarnas, digital modeling, parametric modeling, architectural geometry, Sultanhani Caravanserai
series	journal
email
last changed	2024/04/17 14:29

_id	sigradi2021_56
id	sigradi2021_56
authors	Duclos-Prevet, Claire, Guena, François and Effron, Mariano
year	2021
title	Constrained Multi-Criteria Optimization for Integrated Design in Professional Practice
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. 29–40
summary	To design sustainable architecture, theory encourages architects to rely on automated exploration processes. In practice, the problems encountered are often multicriteria and under constraint. This paper compares different constraint handling strategies, approachable to designer, for processes involving evolutionary algorithms. Four methods are tested on a case study from professional practice. Two methods rely on parametric models: the penalty function method and the use of hyperparameters. The others involve the use of generative techniques: a rule-based method and a repair algorithm that takes the form of an agent-based model. This study highlights the significant impact of the choice of the constraint management method on exploration performance. Among other results, it appears that models involving the use of generative techniques are more efficient than those using parametric models. This calls for the development of dedicated tools.
keywords	building enveloppe design, generative design, agent-based modeling, multiobjective genetic algorithm, daylighting simulation
series	SIGraDi
email
last changed	2022/05/23 12:10

_id	ecaade2021_254
id	ecaade2021_254
authors	Eisenstadt, Viktor, Arora, Hardik, Ziegler, Christoph, Bielski, Jessica, Langenhan, Christoph, Althoff, Klaus-Dieter and Dengel, Andreas
year	2021
title	Comparative Evaluation of Tensor-based Data Representations for Deep Learning Methods in Architecture
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. 45-54
doi	https://doi.org/10.52842/conf.ecaade.2021.1.045
summary	This paper presents an extended evaluation of tensor-based representations of graph-based architectural room configurations. This experiment is a continuation of examination of recognition of semantic architectural features by contemporary standard deep learning methods. The main aim of this evaluation is to investigate how the deep learning models trained using the relation tensors as data representation means perform on data not available in the training dataset. Using a straightforward classification task, stepwise modifications of the original training dataset and manually created spatial configurations were fed into the models to measure their prediction quality. We hypothesized that the modifications that influence the class label will not decrease this quality, however, this was not confirmed and most likely the latent non-class defining features make up the class for the model. Under specific circumstances, the prediction quality still remained high for the winning relation tensor type.
keywords	Deep Learning; Spatial Configuration; Semantic Building Fingerprint
series	eCAADe
email
last changed	2022/06/07 07:55

_id	sigradi2021_88
id	sigradi2021_88
authors	Evrim, Berfin
year	2021
title	Hybrid Carbon Fiber and Jute Fiber Textile Bone Stool: Integrative Fabrication Method of Weaving and 3D Printing
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. 629–641
summary	The structural properties of Fiber Reinforced Polymers (FRP) encourage designers and architects to use textiles as a load-bearing architectural material to create lightweight and strong structures. Manufacturing techniques of FRPs are mostly concentrated on the molding method. This method requires an extra mold fabrication that causes waste of material. This study focuses on integrative weaving and 3D printing fabrication methods, which emphasize the lightweight property of the material. This integrative method avoids excessive material waste during fabrication by using an additive approach. 3D printing on textiles prevents significant deformation in a specific direction of the fabric instead of using any kind of synthetic resin for stiffening the fabric. Additionally, structural behavior simulation allows designers to understand the different loading conditions and maximize the strengths of each textile design by adding more material where it is needed for possible architectural applications.
keywords	Stool Design, Bone Analysis, Textile Load Simulation, Weaving, 3D Printing
series	SIGraDi
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last changed	2022/05/23 12:11

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