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	ecaade2021_131
id	ecaade2021_131
authors	Körner, Andreas
year	2021
title	Thermochromic Animation - Thermally-informed and colour-changing surface-configurations
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. 453-462
doi	https://doi.org/10.52842/conf.ecaade.2021.2.453
summary	All factors of thermal comfort are invisible to humans and do not (yet) impact visual navigation in the built environment. Thermochromic materials change their colour relative to temperature. In architecture, their applications as responsive ornaments and as intelligent composite systems are discussed. Nonetheless, design research on their use together with computational design is scarce. This study investigates thermochromics concerning architectural surfaces. Design and material experiments were conducted to test the hypothesis that thermochromic animation can be configured to visualise invisible parameters of thermal comfort. Scale prototypes were fabricated from different materials and coated with thermochromics. They varied in layer number and sub-coatings. The colour change was observed with several instruments. Heat transfer simulations of digital doppelgangers accompanied the physical experiments. The results suggest that this method can be used to configure thermochromic animation. This can be implemented into a procedural design model for porous and multi-layered thermochromic surfaces in the future. In this, digital simulation and material-based design are combined in a method that advances the use of thermochromic materials in the context of digital architectural design.
keywords	thermochromics; fabrication; simulation; materials; colour
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ecaade2021_159
id	ecaade2021_159
authors	Yazicioglu, Gülin and Gürsel Dino, Ipek
year	2021
title	From Streetscape to Data - Semantic segmentation for the prediction of outdoor thermal comfort
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. 555-562
doi	https://doi.org/10.52842/conf.ecaade.2021.1.555
summary	In recent years, the increasing pace of urbanization is expected to increase the temperatures in urban contexts and amplify the Urban Heat Island effect. This phenomenon has a negative impact on the urbanites' thermal comfort in outdoor spaces. Modeling and simulation-based approaches can precisely calculate outdoor thermal comfort; however, they are labor-intensive and high in computational cost. This difficulty might discourage decision-makers to consider outdoor thermal comfort conditions, which can affect their strategies at the beginning stage of design. This paper aims to propose a statistical model that can predict outdoor comfort using semantic segmentation of 2D street view images. Firstly, 78 panoramic street images of selected three streets in Istanbul are used to calculate the specific object classes that have an influence on outdoor temperature using semantic segmentation. Following, the streets' outdoor thermal comfort is calculated in Ladybug/Grasshopper. Lastly, two multi-variate regression models are built using the percentages of these object classes in each image and outdoor thermal comfort in given locations on the streets. Initial results show that the proposed regression models can predict UTCI with R2=0.78 and R2=0.80, indicating the semantic segmentation can support the calculation of outdoor comfort.
keywords	multivariate linear regression model; semantic segmentation; universal thermal climate index (UTCI)
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ascaad2021_004
id	ascaad2021_004
authors	Ali, Nouran; Samir Hosny, Ahmed Abdin
year	2021
title	Thermal Performance of Nanomaterials of a Medium Size Office Building Envelope: With a Special Reference to Hot Arid Climatic Zone of Egypt
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. 385-396
summary	Global warming is becoming a huge threat in the 21st century. The building is the main contributor to energy consumption and greenhouse gas emissions which play an important role in global warming. Using new technologies provides a step towards a better-built environment. Nanotechnology is an emerging technology that provides innovative materials that integrate with the building envelope to enhance energy efficiency and decrease energy consumption in buildings. Many Nano products are a promising candidate for building thermal insulation and increasing the building’s efficiency. This paper aims to reach minimum energy consumption by investigating Nanomaterials thermal performance on a building’s envelope in a hot arid climate. An office building in Cairo, Egypt is chosen as a case study. The paper presents an empirical/applied inquiry that is based on a computer simulation using Design Builder software. Energy consumption is calculated for different cases; the base model of the office building without using nanomaterials, and several nano models using nanomaterials. The results indicate that the use of Nanomaterials can enhance the thermal performance of the office building and save about 13.44 % of the annual energy consumption of the building.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	caadria2021_216
id	caadria2021_216
authors	Aman, Jayedi, Tabassum, Nusrat, Hopfenblatt, James, Kim, Jong Bum and Haque, MD Obidul
year	2021
title	Optimizing container housing units for informal settlements - A parametric simulation & visualization workflow for architectural resilience
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. 51-60
doi	https://doi.org/10.52842/conf.caadria.2021.1.051
summary	In rapidly growing cities like Dhaka, Bangladesh, sustainable housing in urban wetlands and slums present a challenge to more affordable and livable cities. The Container Housing System (CHS) is among the latest methods of affordable, modular housing quickly gaining acceptance among local stakeholders in Bangladesh. Even though container houses made of heat-conducting materials significantly impact overall energy consumption, there is little research on the overall environmental impact of CHS. Therefore, this study aims to investigate the performance of CHS in the climatic context of the Korail slum in Dhaka. The paper proposes a building envelope optimization and visualization workflow utilizing parametric cluster simulation modeling, multi-objective optimization (MOO) algorithms, and virtual reality (VR) as an immersive visualization technique. First, local housing and courtyard patterns were used to develop hypothetical housing clusters. Next, the CHS design variables were chosen to conduct the MOO analysis to measure Useful Daylight Illuminance and Energy Use Intensity. Finally, the prototype was integrated into a parametric VR environment to enable local stakeholders to walk through the clusters with the goal of generating feedback. This study shows that the proposed method can be implemented by architects and planners in the early design process to help improve the stakeholders understanding of CHS and its impact on the environment. It further elaborates on the implementation results, challenges, limitations of the parametric framework, and future work needed.
keywords	Multi-objective Optimization; Building Energy Use; CHS; Informal Settlements; Parametric VR
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2021_136
id	caadria2021_136
authors	Carallo, Marinella
year	2021
title	Office building design in Hong Kong Island through shape optimization
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. 441-450
doi	https://doi.org/10.52842/conf.caadria.2021.1.441
summary	Dealing with crucial decision-making process has led to the development of many different methods of multicriteria assessments, especially optimization methodologies. This work is mainly focused on the integration of advanced computational design and digital methods, to design a complex building shape resulting in a performance-based approach through optimization methodologies. The project consists of the design of a skyscraper in Hong Kong Island made through parametrically controlled shape and evaluated respect to light and wind to reduce Urban Heat Island phenomena and enhance liveability. The aim is to find out a unique methodology that can be applied to different cases by making small adaptations regarding the parametrization and the parameters involved. The design is divided into two stages that need to arrange the methodology at different levels throughout the workflow. For this reason, it is mandatory to adapt inputs to the algorithm according to the goal. The result is a skyscraper placed in the financial district of Hong Kong, which has both the features of a Grade A Office building and can mitigate the UHI effect thanks to its particular and optimized shape.
keywords	shape optimization; Computational design; Genetic Algorithm; UHI effect; ventilation
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2021_191
id	caadria2021_191
authors	Shou, Xinyue, Chen, Pinyang and Zheng, Hao
year	2021
title	Predicting the Heat Map of Street Vendors from Pedestrian Flow through Machine Learning
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. 569-578
doi	https://doi.org/10.52842/conf.caadria.2021.2.569
summary	Street vending is a recent policy advocated by city governments to support small and intermediate businesses in the post-pandemic period in China. Street vendors select their locations primarily based on their intuitions about the surrounding environment; they temporarily occupy popular locations that benefit their business. Taking the city of Chengdu as an example, this study aims to formulate the rules governing vendors location selection using machine learning and big data analysis techniques, thus identifying streets likely to become vital street markets. We propose a semantic segmentation method to construct heat maps that visualize and quantify the distribution of street vendors and pedestrians on public urban streets. The image-based generative adversarial network (GAN) is then trained to predict the vendors heat maps from the pedestrians heat map, finding the relationship between the locations of the vendors and the pedestrians. Our successful prediction of the vendors locations highlights machine learning techniques ability to quantify experience-based decision strategies. Moreover, suggesting potential marketing locations to vendors could help increase cities vitality.
keywords	Machine Learning; Big Data Analysis; Semantic Segmentation; Generative Adversarial Networks
series	CAADRIA
email
last changed	2022/06/07 07:56

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

_id	acadia21_28
id	acadia21_28
authors	Tessmer, Lavender; Tibbits, Skylar
year	2021
title	Personalized Knit Masks
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. 28-37.
doi	https://doi.org/10.52842/conf.acadia.2021.028
summary	In this paper we outline a new workflow for textiles customization through the design and fabrication of knit shape-changing masks that contain multi-material fibers to create programmable transformation. We have created a process for producing standardized and scalable textile goods using a flatbed industrial CNC knitting machine which are then "tailored" to an individual's body measurements through a system of programmable textiles, custom multi-material fiber, and robotic heat activation. Hybridizing the efficiency of standardized textile production with unique geometric variation, the proposed strategy centers on the shape-change behavior of fibers and precise knit structures to produce personalized textiles. This work focuses on the face mask as an example of a now-ubiquitous textile good that is often ill fitting and yet can now be highly tailored to an individual’s personal fit and comfort. This paper outlines the materials, knit fabric development, mask design, digital workflow, and fabrication steps for producing truly customized masks for an individual's unique facial geometry.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2021_021
id	ecaade2021_021
authors	Wu, Shaoji
year	2021
title	Approach to Auto-Recognition of Human Trajectory in Squares using Machine Learning-Based Methods - An application of the Yolo-v3 and the DeepSORT algorithm
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. 361-370
doi	https://doi.org/10.52842/conf.ecaade.2021.2.361
summary	The square plays an essential role in contemporary urban space. Researchers had explored many methods to record the distribution of people in it. However, few of them study this issue using fine data. This study proposes a method recognized of the human trajectory using a machine learning-based computer vision algorithm, which can be divided into the following three steps. (1) the acquisition of video and the method of obtaining human trajectory. (2) cleaning of the raw human trajectory data. (3) to visualize the trajectory data. Based on the existing methodology, we take three example squares within the Tianjin University campus to illustrate it. We use trajectory map, people distribution heat map, and people walking speed heat map as visualization methods. The following two conclusions are drawn from the three examples. First, it is found that the human trajectory data derived from this method is more accurate when the UAV is flying at a lower altitude. Second, this study demonstrates that a passive Real Time Locating Systems (RTLS), based on a deep learning computer vision algorithm, can effectively obtain human trajectory data in a square. Third, this paper proves that the visualization method we used is effective.
keywords	Human Trajectory; Squares; Machine Learning; DeepSORT; Yolo-v3; UAV
series	eCAADe
email
last changed	2022/06/07 07:57

_id	caadria2021_202
id	caadria2021_202
authors	ZwoliÅ„ski, Adam and Wochna, Agnieszka
year	2021
title	Analytical Study of the Impact of Greenery and Public Space Distribution on Land Surface Temperature in Mid-Size Cities of Poland
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. 437-446
doi	https://doi.org/10.52842/conf.caadria.2021.2.437
summary	The focus of the article is the impact of urban geometry and greenery on the surface temperature in a city and the Urban Heat Islands (UHI) effect. The research problem discussed in the article is to define optimal combination of such parameters as urban geometry, greenery and the LST to enhance the temperature comfort and reduce the UHI effect. The methodology combines CAD and GIS environments. Vector data of 1:10000 scale, from the National Database of Topographic Objects (BDOT10k) is used to analyse urban structure. GIS data include rasters derived from remote sensing: Land Surface Temperature (LST), Digital Surface Model (DSM) and Digital Terrain Model (DTM). The analysis covers areas in Szczecin and Gdynia, two mid-sized cities in Poland. The results indicate a more distinct dependence of LST on greenery parameters than on buildings. The main contribution of the article is the development of a uniform data grid based on CAD and GIS data, allowing for an objective analysis of the citys temperature comfort based on the parameters of buildings, greenery and LST.
keywords	Urban Heat Islands; Land Surface Temperature; Urban morphology; Greenery in cities
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	cdrf2021_69
id	cdrf2021_69
authors	Virginia Ellyn Melnyk
year	2021
title	Punch Card Patterns Designed with GAN
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_7
summary	Knitting punch cards codify different stitch patterns into binary patterns, telling the machine when to change color or to generate different stitch types. This research utilizes Neural Networks (NN) and image-based Generative Adversarial Networks (GAN), with an image database of knitting punch cards, to generate new punch card designs. The hypothesis is that artificial intelligence will learn the basic underlying structures of the punch cards and the pattern makeup that is inherent across patterns of different styles and cultures. Different neural networks were utilized throughout the research, such as Neural Style Transfer (NST), AdaIN Style Transfers, and StyleGAN2. The results from these explorations offer different insights into pattern design and various outcomes of the different neural networks. Ultimately physically testing these punch card designs, these patterns were knit on a domestic knitting machine, resulting in novel fabrication and design techniques that are both digital and craft-based.
series	cdrf
email
last changed	2022/09/29 07:53

_id	ascaad2021_118
id	ascaad2021_118
authors	Abdelmohsen, Sherif; Passaint Massoud
year	2021
title	Material-Based Parametric Form Finding: Learning Parametric Design through Computational Making
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. 521-535
summary	Most approaches developed to teach parametric design principles in architectural education have focused on universal strategies that often result in the fixation of students towards perceiving parametric design as standard blindly followed scripts and procedures, thus defying the purpose of the bottom-up framework of form finding. Material-based computation has been recently introduced in computational design, where parameters and rules related to material properties are integrated into algorithmic thinking. In this paper, we discuss the process and outcomes of a computational design course focused on the interplay between the physical and the digital. Two phases of physical/digital exploration are discussed: (1) physical exploration with different materials and fabrication techniques to arrive at the design logic of a prototype panel module, and (2) deducing and developing an understanding of rules and parameters, based on the interplay of materials, and deriving strategies for pattern propagation of the panel on a façade composition using variation and complexity. The process and outcomes confirmed the initial hypothesis, where the more explicit the material exploration and identification of physical rules and relationships, the more nuanced the parametrically driven process, where students expressed a clear goal oriented generative logic, in addition to utilizing parametric design to inform form finding as a bottom-up approach.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	ecaade2021_177
id	ecaade2021_177
authors	Aksin, Feyza Nur and Arslan Selçuk, Semra
year	2021
title	Use of Simulation Techniques and Optimization Tools for Daylight, Energy and Thermal Performance - The case of office module(s) in different climates
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. 409-418
doi	https://doi.org/10.52842/conf.ecaade.2021.2.409
summary	In recent years, performance-based design has become the key issue behind design decisions in the construction industry towards reducing energy consumption. Various simulation techniques and optimization tools have started to be used together for performance objectives to reach optimal solutions for complex design process. In the sector, one of the most energy-consuming buildings is offices. This study examines the effects of integration of simulation programs and optimization tools on the daylight, energy and thermal performances of office buildings on different climates. Two cities, Ankara and Izmir, in Turkey selected as locations. The study is carried out with total of thirteen parameters. With Rhinoceros/Grasshopper software, Honeybee, Ladybug and Octopus plug-ins used for daylight, energy and thermal simulation and performance optimization. With the results obtained, the optimal configurations related with selected parameters are determined for reducing energy consumption while improving daylight and thermal performance on different climates.
keywords	daylight, energy and thermal comfort performance; multi-objective optimization; performance-based design; office buildings
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ascaad2021_008
id	ascaad2021_008
authors	Alabbasi, Mohammad; Han-Mei Chen, Asterios Agkathidis
year	2021
title	Assessing the Effectivity of Additive Manufacturing Techniques for the Production of Building Components: Implementing Innovation for Housing Construction in Saudi Arabia
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. 214-226
summary	This paper examines the suitability of existing robotic technologies and large-scale 3D printing techniques for the fabrication of three-dimensional printed building components to be applied in the Saudi housing construction industry. The paper assesses a series of cases based on the applications for 3D-printing cement-based materials in construction. In particular, we investigate five different additive manufacturing techniques and evaluate their performance in terms of their flexibility/mechanism, control/navigation, calibration/operation system, fabrication suitability (in-situ or off-site), size of printed components, printing speed. The findings include in a matrix chart, where the advantages and disadvantages of each technique become evident. The paper further evaluates the suitability of each technique in relation to the particular climatical and socio-political context of Saudi Arabia, applicable to other construction industries with similar conditions.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	sigradi2021_283
id	sigradi2021_283
authors	Alexandrino, Joao Victor Mota, Amorim, Leonardo Edson, Muniz, Vinícius Fernandes and Leite, Raquel Magalhaes
year	2021
title	Architecture and Context: A Data-based Approach to Optimize Climate Performance of Built Facades
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. 1139–1150
summary	The present research stems from a critical reflection about the environmental adaptability of existing building envelopes. The main goal is to explore how to balance environmental optimization with contextual constraints, using modularity, flexibility and mass customization as guiding principles. An application study was carried out with the development of a second skin proposal aligned with the use and context of the building under study. For this purpose, simulations that assess environmental conditions were developed within a visual programming tool, not only feeding the design process with essential information, but also providing a flexible creative process. Results show that such simulations allow the designer to interpret these studies more accurately, reducing the iterative guesswork, since in this workflow it is possible to transform these outputs into proposition parameters for new designs or interventions.
keywords	Data-Driven Analysis, Optimization, Parametric Facade Design, Thermal performance, High-low architecture, Mass Customization, Second Skin
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	caadria2021_273
id	caadria2021_273
authors	Allam, Sammar and AlaÃ§am, Sema
year	2021
title	A Comparative Analysis of the Tool-Based versus Material-Based Fabrication Pedagogy in the Context of Digital Craft
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. 11-20
doi	https://doi.org/10.52842/conf.caadria.2021.2.011
summary	This study presents the comparative analysis of two undergraduate courses which focus on introducing digital fabrication to design students. The duration of the compared courses are 5 weeks and 7 weeks respectively. The study employs action research methodology, while the theoretical lectures, weekly exercises, materials, fabrication tools and techniques, and students' outcomes were used as data sources. Particularly the material-based pedagogy and tool-based pedagogy of the compared courses are evaluated in relation with the tools, materials and techniques. The outcomes of the study is expected to provide insights for instructors and design students in the context of digital craft.
keywords	Digital Craft; Fabrication Techniques; Design Pedagogy; Tool-Based Fabrication; Material-Based Fabrication
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ascaad2021_146
id	ascaad2021_146
authors	Aly, Zeyad; Aly Ibrahim, Sherif Abdelmohsen
year	2021
title	Augmenting Passive Actuation of Hygromorphic Skins in Desert Climates: Learning from Thorny Devil Lizard Skins
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. 264-278
summary	The exploitation of latent properties of natural materials such as wood in the passive actuation of adaptive building skins is of growing interest due to their added value as a low-cost and low-energy approach. The control of wood response behavior is typically conducted via physical experiments and numerical simulations that explore the impact of hygroscopic design parameters. Desert climates however suffer from water scarcity and high temperatures. Complementary mechanisms are needed to provide sufficient sources of water for effective hygroscopic operation. This paper aims to exploit such mechanisms, with specific focus on thorny devil lizard skins whose microstructure surface properties allow for maximum humidity absorption. We put forward that this process enhances hygroscopic-based passive actuation systems and their adaptation to both humidity and temperature in desert climates. Specific parameters and rules are deduced based on the lizard skin properties. Physical experiments are conducted to observe different actuation mechanisms. These mechanisms are recorded, and texture and bending morphologies are modeled for adaptive skins using Grasshopper.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	sigradi2021_191
id	sigradi2021_191
authors	Barreto, Joao, Silveira, José and Leite, Raquel Magalhaes
year	2021
title	Parametric Design in Building Reconfiguration: An Application Towards Environmental Quality
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. 1435–1446
summary	This paper introduces an application study that analyzes environmental variables in existing buildings, focusing on the area of thermal and luminous quality. The object of study is an academic office building, where adaptability emerges as a pivotal feature to provide environmental quality to the occupants. The analysis methodology was based on the use of parametric simulations that allow to explore different scenarios and solutions, in addition, an on-site measurement was carried out for a better understanding of the object of study. In this research, the potential of parametric technologies is analyzed as an auxiliary tool in design decisions, which seeks to explore possibilities, rearranging variables to reach better environmental solutions.
keywords	Simulaçoes Paramétricas, Desempenho térmico, Sustentabilidade, Reconfiguraçao
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	caadria2021_005
id	caadria2021_005
authors	Bedarf, Patrick, Martinez Schulte, Dinorah, Åženol, AyÃ§a, Jeoffroy, Etienne and Dillenburger, Benjamin
year	2021
title	Robotic 3D Printing of Mineral Foam for a Lightweight Composite Facade Shading Panel
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. 603-612
doi	https://doi.org/10.52842/conf.caadria.2021.1.603
summary	This paper presents the design and fabrication of a lightweight composite facade shading panel using 3D printing (3DP) of mineral foams. Albeit their important role in industrial construction practice as insulators and lightweight materials, only little research has been conducted to use foams in 3DP. However, the recent development of highly porous mineral foams that are very suitable for extrusion printing opens a new chapter for development of geometrically complex lightweight building components with efficient formwork-free additive manufacturing processes. The work documented in this paper was based on preliminary material and fabrication development of a larger research endeavor and systematically explored designs for small interlocking foam modules. Furthermore, the robotic 3D Printing setup and subsequent processing parameters were tested in detail. Through extensive prototyping, the design space of a final demonstrator shading panel was mapped and refined. The design and fabrication process is documented and shows the potential of the novel material system in combination with fiber-reinforced ultra-high performance concrete (UHPC). The resulting composite shading panel highlights the benefits of using mineral foam 3DP to fabricate freeform stay-in-place formwork for lightweight facade applications. Furthermore, this paper discusses the challenges and limitations encountered during the project and gives a conclusive outlook for future research.
keywords	robotic 3d-printing; mineral foam; lightweight construction; concrete formwork; facade shading panel
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	acadia21_362
id	acadia21_362
authors	Bruscia, Nicholas
year	2021
title	Surface Disclination Topology in Self-Reactive Shell Structures
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. 362-371.
doi	https://doi.org/10.52842/conf.acadia.2021.362
summary	This paper discusses recent developments on the geometric construction and fabrication techniques associated with large-scale surface disclinations. The basic concept of disclinations recognizes the role of “defects” in the composition of materials, the strategic placement of which shapes the material by inducing curvature from initially planar elements. By acknowledging the relationship between geometry and topology that governs disclination based form-finding and material prototyping, this work consciously explores its potential at the architectural scale. Basic geometric figures and their topological transformations are documented in the context of digital modeling and simulation, fabrication, and a specific material palette. Specifically, this work builds on recent efforts by focusing on three particular areas of investigation; a) enhancing the stability of surface disclinations with a synthetic fibrous layer, b) aggregation via periodic tilings, and c) harnessing snap-through buckling to increase bending stiffness in thin surfaces.
series	ACADIA
type	paper
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last changed	2023/10/22 12:06

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