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	ecaade2020_222
id	ecaade2020_222
authors	Ikeno, Kazunosuke, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2020
title	Automatic Generation of Horizontal Building Mask Images by Using a 3D Model with Aerial Photographs for Deep Learning
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 271-278
doi	https://doi.org/10.52842/conf.ecaade.2020.2.271
summary	Information extracted from aerial photographs is widely used in urban planning and design. An effective method for detecting buildings in aerial photographs is to use deep learning for understanding the current state of a target region. However, the building mask images used to train the deep learning model are manually generated in many cases. To solve this challenge, a method has been proposed for automatically generating mask images by using virtual reality 3D models for deep learning. Because normal virtual models do not have the realism of a photograph, it is difficult to obtain highly accurate detection results in the real world even if the images are used for deep learning training. Therefore, the objective of this research is to propose a method for automatically generating building mask images by using 3D models with textured aerial photographs for deep learning. The model trained on datasets generated by the proposed method could detect buildings in aerial photographs with an accuracy of IoU = 0.622. Work left for the future includes changing the size and type of mask images, training the model, and evaluating the accuracy of the trained model.
keywords	Urban planning and design; Deep learning; Semantic segmentation; Mask image; Training data; Automatic design
series	eCAADe
email
last changed	2022/06/07 07:50

_id	cdrf2019_93
id	cdrf2019_93
authors	Jiaxin Zhang , Tomohiro Fukuda , and Nobuyoshi Yabuki
year	2020
title	A Large-Scale Measurement and Quantitative Analysis Method of Façade Color in the Urban Street Using Deep Learning
source	Proceedings of the 2020 DigitalFUTURES The 2nd International Conference on Computational Design and Robotic Fabrication (CDRF 2020)
doi	https://doi.org/https://doi.org/10.1007/978-981-33-4400-6_9
summary	Color planning has become a significant issue in urban development, and an overall cognition of the urban color identities will help to design a better urban environment. However, the previous measurement and analysis methods for the facade color in the urban street are limited to manual collection, which is challenging to carry out on a city scale. Recent emerging dataset street view image and deep learning have revealed the possibility to overcome the previous limits, thus bringing forward a research paradigm shift. In the experimental part, we disassemble the goal into three steps: firstly, capturing the street view images with coordinate information through the API provided by the street view service; then extracting facade images and cleaning up invalid data by using the deep-learning segmentation method; finally, calculating the dominant color based on the data on the Munsell Color System. Results can show whether the color status satisfies the requirements of its urban plan for façade color in the street. This method can help to realize the refined measurement of façade color using open source data, and has good universality in practice.
series	cdrf
email
last changed	2022/09/29 07:51

_id	ecaade2020_130
id	ecaade2020_130
authors	Markusiewicz, Jacek and Gortazar Balerdi, Ander
year	2020
title	LOTI - Using Machine Learning to simulate subjective opinions in design.
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 439-448
doi	https://doi.org/10.52842/conf.ecaade.2020.1.439
summary	The objective of the workshop described in the article was to redesign a chair called Loti. In a subjective opinion shared by the authors and the participants of the workshop, the chair seems plagiarism of a famous chair by Ray and Charles Eames. The authors centralised the workshop on the use of computational tools for assessing subjective opinions. The authors and the participants created a method for detecting plagiarism and implemented it in the process of design. They created a parametric model of the chair that allowed changing the chair's components with variables. Using this model, the participants generated multiple variations and surveyed other students to assess which of the versions seemed plagiarism. With the information obtained from the survey, we trained a neural network to relate the variables with the level of plagiarism. We linked the parametric model with the neural network to create a tool that informs the user about the probability of committing plagiarism in real-time. The participants used the tool for designing new chairs to evaluate the efficiency of the method.
keywords	parametric design; machine learning; interfaces
series	eCAADe
email
last changed	2022/06/07 07:59

_id	caadria2020_254
id	caadria2020_254
authors	Pei, Wanyu, LO, TianTian and Guo, Xiangmin
year	2020
title	A Biofeedback Process: Detecting Architectural Space with the Integration of Emotion Recognition and Eye-tracking Technology
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 263-272
doi	https://doi.org/10.52842/conf.caadria.2020.2.263
summary	This paper coincides with the conference theme that people have gradually become a vital force influencing the environmental system. In the future, it is necessary to study the influence of not only the built environment on people but also people's feedback on environmental design. This study explores the â€Žprocesses of interactive design using both emotion recognition and eye-tracking of users. By putting on wearable devices to roam and perceive in a virtual reality space, the physiological data of the users are collected in real-time and used to analyze their emotional responses and visual attention to the spaces. This method will provide an auxiliary way for non-architectural professional users to participate in architectural space design. At present, there is a lack of research on the comprehensive application of eye movement knowledge and emotional feedback in architectural space design. This integration will help professional designers to optimize the design of architectural space. For this paper, we review existing research and proposing an interactive design workflow that integrates eye tracking and emotion recognition. This workflow will help with the next stage of research to understand the design of a new International School of Design building.
keywords	Perception detection; Architectural space environment; Interactive design; Virtual reality
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ijac202018304
id	ijac202018304
authors	Aagaard, Anders Kruse and Niels Martin Larsen
year	2020
title	Developing a fabrication workflow for irregular sawlogs
source	International Journal of Architectural Computing vol. 18 - no. 3, 270-283
summary	In this article, we suggest using contemporary manufacturing technologies to integrate material properties with architectural design tools, revealing new possibilities for the use of wood in architecture. Through an investigative approach, material capacities and fabrication methods are explored and combined towards establishing new workflows and architectural expressions, where material, fabrication and result are closely interlinked. The experimentation revolves around discarded, crooked oak logs, doomed to be used as firewood due to their irregularity. This project treats their diverging shapes differently by offering unique processing to each log informed by its particularities. We suggest here a way to use the natural forms and properties of sawlogs to generate new structures and spatial conditions. In this article, we discuss the scope of this approach and provide an example of a workflow for handling the discrete shapes of natural sawlogs in a system that involve the collection of material, scanning/digitisation, handling of a stockpile, computer analysis, design and robotic manufacturing. The creation of this specific method comes from a combination of investigation of wood as a material, review of existing research in the field, studies of the production lines in the current wood industry and experimentation through our in-house laboratory facilities. As such, the workflow features several solutions for handling the complex and different shapes and data of natural wood logs in a highly digitised machining and fabrication environment. This up-cycling of discarded wood supply establishes a non-standard workflow that utilises non-standard material stock and leads to a critical articulation of today’s linear material economy. The project becomes part of an ambition to reach sustainable development goals and technological innovation in global and resource-intensive architecture and building industry.
keywords	Natural wood, robotic fabrication, computation, fabrication, research by design
series	journal
email
last changed	2020/11/02 13:34

_id	sigradi2020_60
id	sigradi2020_60
authors	Asmar, Karen El; Sareen, Harpreet
year	2020
title	Machinic Interpolations: A GAN Pipeline for Integrating Lateral Thinking in Computational Tools of Architecture
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 60-66
summary	In this paper, we discuss a new tool pipeline that aims to re-integrate lateral thinking strategies in computational tools of architecture. We present a 4-step AI-driven pipeline, based on Generative Adversarial Networks (GANs), that draws from the ability to access the latent space of a machine and use this space as a digital design environment. We demonstrate examples of navigating in this space using vector arithmetic and interpolations as a method to generate a series of images that are then translated to 3D voxel structures. Through a gallery of forms, we show how this series of techniques could result in unexpected spaces and outputs beyond what could be produced by human capability alone.
keywords	Latent space, GANs, Lateral thinking, Computational tools, Artificial intelligence
series	SIGraDi
email
last changed	2021/07/16 11:48

_id	acadia20_208p
id	acadia20_208p
authors	Bernier-Lavigne, Samuel
year	2020
title	Object-Field
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. 208-213
summary	This project aims to continue the correlative study between two fundamental entities of digital architecture: the object and the field. Following periods of experimentations on the ""field"" (materialization of flows of data through animation), the ""field of objects"" (parametricism), the ""object"" (OOO), we investigate the last possible interaction remaining: the ""object-field,"" by merging the formal characteristics of the object with the structural flow of its internal field. This investigation is achieved by exploring the high-resolution features of 3d printing in the design of autonomous architectural objects expressing materiality through topological optimization. The objects are generated by an iterative process of volumetric reduction, resulting in an ensemble of monoliths. Four of them are selected and analyzed through topological optimization in order to extract their internal fields. Next, a series of high-resolution algorithmic systems translate the structural information into 3d printed materiality. Of the four object-fields, one materializes, close to identical, the result of the optimization, giving the keystone to understanding the others. The second one expresses the structural flow through a 1mm voxel system, informed by the optimization, having the effect of stiffening the structure where it is needed and thus generating a new topography on the object. The last two explore the blur that this high-resolution can paradoxically create, with complete integration of the optimal structure in a transparent monolith. This is achieved by a vertex displacement algorithm, and the dissolution of the formal data of the monolith and the structural flows, through the mereological assembly of simple linear elements. For each object-field, a series of drawings was developed using specific algorithmic procedures derived from the peculiarities of their complex geometry. The drawings aim to catalyze coherence throughout the project, where similarities, hitherto kept apart by the multiple materialities, begin to dialogue.
series	ACADIA
type	project
email
last changed	2021/10/26 08:08

_id	ecaade2020_017
id	ecaade2020_017
authors	Chan, Yick Hin Edwin and Spaeth, A. Benjamin
year	2020
title	Architectural Visualisation with Conditional Generative Adversarial Networks (cGAN). - What machines read in architectural sketches.
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 299-308
doi	https://doi.org/10.52842/conf.ecaade.2020.2.299
summary	As a form of visual reasoning, sketching is a human cognitive activity instrumental to architectural design. In the process of sketching, abstract sketches invoke new mental imageries and subsequently lead to new sketches. This iterative transformation is repeated until the final design emerges. Artificial Intelligence and Deep Neural Networks have been developed to imitate human cognitive processes. Amongst these networks, the Conditional Generative Adversarial Network (cGAN) has been developed for image-to-image translation and is able to generate realistic images from abstract sketches. To mimic the cyclic process of abstracting and imaging in architectural concept design, a Cyclic-cGAN that consists of two cGANs is proposed in this paper. The first cGAN transforms sketches to images, while the second from images to sketches. The training of the Cyclic-cGAN is presented and its performance illustrated by using two sketches from well-known architects, and two from architecture students. The results show that the proposed Cyclic-cGAN can emulate architects' mode of visual reasoning through sketching. This novel approach of utilising deep neural networks may open the door for further development of Artificial Intelligence in assisting architects in conceptual design.
keywords	visual cognition; design computation; machine learning; artificial intelligence
series	eCAADe
email
last changed	2022/06/07 07:55

_id	caadria2020_118
id	caadria2020_118
authors	Chow, Ka Lok and van Ameijde, Jeroen
year	2020
title	Generative Housing Communities - Design of Participatory Spaces in Public Housing Using Network Configurational Theories
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 283-292
doi	https://doi.org/10.52842/conf.caadria.2020.2.283
summary	This research-by-design project explores how public housing estates can accommodate social diversity and the appropriation of shared spaces, using qualitative and quantitative analysis of circulation networks. A case study housing estate in Hong Kong was analysed through field observations of movements and activities and as a site for the speculative re-design of shared spaces. Generative design processes were developed based on several parameters, including shortest paths, visibility integration and connectivity integration (Hillier & Hanson, 1984). Additional tools were developed to combine these techniques with optimisation of sunlight access, maximisation of views for residential towers and the provision of permeability of ground level building volumes. The project demonstrates how flexibility of use and social engagement can constitute a platform for self-organisation, similar to Jane Jacobs' notion of vibrant streets leading to active and progressive communities. It shows how computational design and configurational theories can promote a bottom-up approach for generating new types of residential environments that support participatory and diverse communities, rather than a conventional top-down approach that is perceived to embody mechanisms of social regimentation.
keywords	Urban Planning and Design; Network Configuration; Community Space and Social Interaction; Hong Kong Public Housing
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia20_564
id	acadia20_564
authors	Cutajar, Sacha; Costalonga Martins, Vanessa; van der Hoven, Christo; Baszyñski, Piotr; Dahy, Hanaa
year	2020
title	Towards Modular Natural Fiber-Reinforced Polymer Architecture
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 564-573.
doi	https://doi.org/10.52842/conf.acadia.2020.1.564
summary	Driven by the ecological crisis looming over the 21st century, the construction sector must urgently seek alternative design solutions to current building practices. In the wake of emergent digital technologies and novel material strategies, this research proposes a lightweight architectural solution using natural fiber-reinforced polymers (NFRP), which elicit interest for their inherent renewability as compared to high-performance yarns. Two associated fabrication techniques are deployed: tailored fiber placement (TFP) and coreless filament winding (CFW), both favored for their additive efficiencies granted by strategic material placement. A hypothesis is formed, postulating that their combination can leverage the standalone complexities of molds and frames by integrating them as active structural elements. Consequently, the TFP enables the creation of a 2D stiffness-controlled preform to be bent into a permanent scaffold for winding rigid 3D fiber bodies via CFW. A proof of concept is generated via the small-scale prototyping and testing of a stool, with results yielding a design of 1 kg capable of carrying 100 times its weight. Laying the groundwork for a scaled-up architectural proposal, the prototype instigates alterations to the process, most notably the favoring of a modular global design and lapped preform technique. The research concludes with a discussion on the resulting techno-implications for automation, deployment, material life cycle, and aesthetics, rekindling optimism towards future sustainable practices.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2020_290
id	ecaade2020_290
authors	Elesawy, Amr Alaaeldin, Signer, Mario, Seshadri, Bharath and Schlueter, Arno
year	2020
title	Aerial Photogrammetry in Remote Locations - A workflow for using 3D point cloud data in building energy modeling
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 723-732
doi	https://doi.org/10.52842/conf.ecaade.2020.1.723
summary	Building energy modelling (BEM) results are highly affected by the surrounding environment, due to the impact of solar radiation on the site. Hence, modelling the context is a crucial step in the design process. This is challenging when access to the geometrical data of the built and natural environment is unavailable as in remote villages. The acquisition of accurate data through conventional surveying proves to be costly and time consuming, especially in areas with a steep and complex terrain. Photogrammetry using drone-captured aerial images has emerged as an innovative solution to facilitate surveying and modeling. Nevertheless, the workflow of translating the photogrammetry output from data points to surfaces readable by BEM tools proves to be tedious and unclear. This paper presents a streamlined and reproducible approach for constructing accurate building models from photogrammetric data points to use for architectural design and energy analysis in early design stage projects.
keywords	Building Energy Modeling; Photogrammetry; 3D Point Clouds; Low-energy architecture; Multidisciplinary design; Education
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2020_209
id	ecaade2020_209
authors	Han, Yoojin and Lee, Hyunsoo
year	2020
title	Investigating the Effectiveness of AR-enhanced Signage in Multi-purpose Commercial Complexes - Focusing on response time to directional signage
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 1, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 145-152
doi	https://doi.org/10.52842/conf.ecaade.2020.1.145
summary	The aim of this study was to investigate next level digital signage utilizing augmented reality for multi-purpose commercial complexes. Recently, despite the rapid growth of the urban solution, mixed-use commercial complexes have experienced significant problems in terms of wayfinding. As a potential solution to the problem, this study sought to determine the effectiveness of state-of-the-art augmented reality (AR) on wayfinding. Focusing on the response time to directional signage, this study compared wayfinding through traditional signage with AR-enhanced signage. The response time in milliseconds was measured using a program developed with Python. In all, 30 sign images were presented to 48 participants in random order. A third of them included existing signs as the control condition, and the others were AR signs with half graphic and half text. The results of this study demonstrated that AR-enhanced signage had tremendous potential to improve wayfinding performance in multi-purpose commercial complexes. Results revealed that response time to directional signage was reduced in AR environments. In particular, the AR signage system combining text and graphics was useful in terms of both response time and cognitive appraisal.
keywords	Augmented Reality (AR); Signage; Wayfinding; Multi-purpose Commercial Complexes
series	eCAADe
email
last changed	2022/06/07 07:50

_id	caadria2020_100
id	caadria2020_100
authors	Hershcovich, Cheli, van Hout, RENÃ‰, Rinsky, Vladislav, Laufer, Michael and Grobman, Yasha J.
year	2020
title	Insulating with Geometry - Employing Cellular Geometry to Increase the Thermal Performance of Building Facades
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 507-516
doi	https://doi.org/10.52842/conf.caadria.2020.1.507
summary	This paper presents the current stage of a study examining the potential of complex geometry concrete tiles to improve thermal performance in building envelopes. This stage focused on developing tile geometries and testing them using physical and digital CFD (Computational Fluid Dynamics) simulations. Tiles were developed taking two approaches: (i) developing variation from basic geometries (triangle, square, circle and trapezoid) and (ii) learning from natural envelopes. Following successful validation of experimental and numerical data, the designed tiles were tested using a digital simulation (Star-CCM+). The results show that for the examined configuration (flow perpendicular to the surface), a significant reduction of heat transfer rate occurs in most of the tested tiles. Furthermore, geometries that achieved the same thermal performance as the base-line flat tile saved up to 38 percent of the material.
keywords	Complex Geometry; Microclimate; CFD
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	sigradi2021_130
id	sigradi2021_130
authors	Hiilesmaa, Laura, Galbes Breda de Lima, Eduardo, Chieppe Carvalho, Leonardo, Wenzel Martins, Gisele and Vizioli, Simone Helena Tanoue
year	2021
title	Heritage Education: Computational Design of the Virtual Exhibition at the Cultural and Scientific Divulgation Center of USP
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. 605–616
summary	During the current pandemic situation, in 2020/2021, there has been an increased need for easier remote access to cultural and heritage sites, especially on users’ smartphones and personal devices. The exhibition from the 40 years anniversary of the Cultural and Scientific Divulgation Center (CDCC) of the University of Sao Paulo (USP) was selected in order to accomplish the fundamental objectives of this study. The transition of its contents to digital media was enabled by three main technologies: 360° panoramic images, used broadly in the virtual tour; close-range photogrammetry for the creation of 3D models of objects, such as the bust of Dante Alighieri; and informative GIFs of the Transparent Woman of Dresden. As a result of the methodology proposed, this paper introduces a link with the virtual tour developed, presenting an important resource to spread a multidisciplinary knowledge about this meaningful built heritage of Sao Carlos (SP).
keywords	Fotogrametria, Imagens Panorâmicas 360°, Educaçao Patrimonial, Patrimônios Materiais, Tour Virtual 360°.
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	ijac202220201
id	ijac202220201
authors	Horvath; Anca-Simona
year	2022
title	How we talk(ed) about it: Ways of speaking about computational architecture
source	International Journal of Architectural Computing 2022, Vol. 20 - no. 2, pp. 150–175
summary	If we understand architecture as a three-part system formed by the building, its image, or drawings and imagesdescribing buildings, and the critical discourse around architecture, then the texts or ways of speaking aboutarchitecture play a key role in understanding the field and its development. By analysing a corpus of around 4.6million words from texts written between 2005 and 2020 that form a part of critical discourse in computational architecture (understood as the result of the intense digitalization of the field), this paper aims tomap ways of speaking about computational architecture. This contributes to architectural theory and mighthelp gain a better understanding of the evolution of the digitalization of construction in general. Findings showthat computational architecture is surrounded by a specific way of speaking, hybridized with words fromfields such as biology, neuroscience, arts and humanities, and engineering. While some topics such as‘sustainability’ or ‘biology’ come up consistently in the discourse, others, such as ‘people’ or ‘human’, haveperiods when they are more and less popular. After highlighting open research questions, the paperconcludes by presenting a map of periodic and recurring topics in ways of speaking about computationalarchitecture over the last 15 years, thus tracking and documenting long-term trends, and illuminating patternsin the broader field of digital construction.
keywords	Architectural design, computational architecture, design theory, digital architecture, digital construction, natural language processing
series	journal
last changed	2024/04/17 14:29

_id	acadia20_154p
id	acadia20_154p
authors	Josephson, Alex; Friedman, Jonathan; Salance, Benjamin; Vasyliv, Ivan; Melnichuk, Tim
year	2020
title	Gusto: Rationalizing Computational Masonry Design
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. 154-159
summary	Gusto 501 is a multi-level Infill Building on the footprint of an old car garage. Surrounded by an overpass and former factories, the restaurant and event spaces take the form of a ‘Hyper garage’ as a nod to its urban context. The interior is punctuated with standard terracotta blocks formed to create an intricate play of shadows during the day and embedded with LEDs to provide atmospheric illumination at night. The client's vision, our narrative, and the program demanded an innovative use of the primal material: terracotta. The scale of the project required the use of 3,700 blocks. Within the array wrapped around a 50ft tall interior volume, each block needed to be formed and sequenced uniquely to maintain structural integrity and interface with building systems, and express the sculptural qualities our team had designed. Standard approaches to the masonry could not achieve the effects our team was striving for - we had to develop our ground-up process to manufacture and install mass-customized masonry. The design process involved an algorithmic approach to a series of cuts and geometric manipulations to the blocks that allowed for near-endless combinations/configurations to create a dynamic interior facade system. Partisans, partnering with a terracotta block manufacturer, a local mason, and a masonry engineer, pursued simplifying production using wire cutter systems. Digital and physical mock-ups were then used to create a robust library of parameterized design criteria that optimized corbelling, grout thickness, weight, and fabrication complexity. Working sets of drawings were automated through a fully integrated BIM model, simplifying and speeding up installation. The challenge of marrying these processes with the physical realities of installation required another level of collaboration that included the masons themselves and the electricians who would eventually combine lighting systems into the sculpted block array.
series	ACADIA
type	project
email
last changed	2021/10/26 08:03

_id	acadia20_170
id	acadia20_170
authors	Li, Peiwen; Zhu, Wenbo
year	2020
title	Clustering and Morphological Analysis of Campus Context
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 170-177.
doi	https://doi.org/10.52842/conf.acadia.2020.2.170
summary	“Figure-ground” is an indispensable and significant part of urban design and urban morphological research, especially for the study of the university, which exists as a unique product of the city development and also develops with the city. In the past few decades, methods adapted by scholars of analyzing the figure-ground relationship of university campuses have gradually turned from qualitative to quantitative. And with the widespread application of AI technology in various disciplines, emerging research tools such as machine learning/deep learning have also been used in the study of urban morphology. On this basis, this paper reports on a potential application of deep clustering and big-data methods for campus morphological analysis. It documents a new framework for compressing the customized diagrammatic images containing a campus and its surrounding city context into integrated feature vectors via a convolutional autoencoder model, and using the compressed feature vectors for clustering and quantitative analysis of campus morphology.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2020_113
id	ecaade2020_113
authors	Li, Yunqin, Yabuki, Nobuyoshi, Fukuda, Tomohiro and Zhang, Jiaxin
year	2020
title	A big data evaluation of urban street walkability using deep learning and environmental sensors - a case study around Osaka University Suita campus
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 319-328
doi	https://doi.org/10.52842/conf.ecaade.2020.2.319
summary	Although it is widely known that the walkability of urban street plays a vital role in promoting street quality and public health, there is still no consensus on how to measure it quantitatively and comprehensively. Recent emerging deep learning and sensor network has revealed the possibility to overcome the previous limit, thus bringing forward a research paradigm shift. Taking this advantage, this study explores a new approach for urban street walkability measurement. In the experimental study, we capture Street View Picture, traffic flow data, and environmental sensor data covering streets within Osaka University and conduct both physical and perceived walkability evaluation. The result indicates that the street walkability of the campus is significantly higher than that of municipal, and the streets close to large service facilities have better walkability, while others receive lower scores. The difference between physical and perceived walkability indicates the feasibility and limitation of the auto-calculation method.
keywords	walkability; WalkScore; deep learning; Street view picture; environmental sensor
series	eCAADe
email
last changed	2022/06/07 07:51

_id	caadria2020_232
id	caadria2020_232
authors	Lo, Tian Tian and Gao, Xinrui
year	2020
title	From HCI to HVRI - How different will the interaction of digital architecture design be?
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 253-262
doi	https://doi.org/10.52842/conf.caadria.2020.2.253
summary	This paper contributes to the conference theme by looking at the human impact factors in the context of virtual reality interaction. The creation of architectural design drawings was done through pens and rulers in the beginning. Although the process is time-consuming, the connection of the mind and body is very close and every line drawn are done through the motion of the human body. The development of computer speed up the design process but the generation of the drawings are done with the keyboard and mouse. This human-computer interaction (HCI) disrupted the body-mind connection since the controls are now pointing, dragging and clicking. Architects were having a hard time accustoming to the new methods but gave up to the speed of its efficiency. However, architects never lose their skills to draw and sketch when brainstorming design. The coming of virtual reality (VR) provides an opportunity to bring back this connection. This paper explores the possibilities of human-virtual reality interaction (HVRI) through analysing the currently available VR tools and understand how close they are to this mind-body connection.
keywords	HCI; HVRI; Interaction; Digital Architecture Design; Virtual Reality
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	acadia20_176p
id	acadia20_176p
authors	Lok, Leslie; Zivkovic, Sasa
year	2020
title	Ashen Cabin
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. 176-181
summary	Ashen Cabin, designed by HANNAH, is a small building 3D-printed from concrete and clothed in a robotically fabricated envelope made of irregular ash wood logs. From the ground up, digital design and fabrication technologies are intrinsic to the making of this architectural prototype, facilitating fundamentally new material methods, tectonic articulations, forms of construction, and architectural design languages. Ashen Cabin challenges preconceived notions about material standards in wood. The cabin utilizes wood infested by the Emerald Ash Borer (EAB) for its envelope, which, unfortunately, is widely considered as ‘waste’. At present, the invasive EAB threatens to eradicate most of the 8.7 billion ash trees in North America (USDA, 2019). Due to their challenging geometries, most infested ash trees cannot be processed by regular sawmills and are therefore regarded as unsuitable for construction. Infested and dying ash trees form an enormous and untapped material resource for sustainable wood construction. By implementing high precision 3D scanning and robotic fabrication, the project upcycles Emerald-Ash-Borer-infested ‘waste wood’ into an abundantly available, affordable, and morbidly sustainable building material for the Anthropocene. Using a KUKA KR200/2 with a custom 5hp band saw end effector at the Cornell Robotic Construction Laboratory (RCL), the research team can saw irregular tree logs into naturally curved boards of various and varying thicknesses. The boards are arrayed into interlocking SIP façade panels, and by adjusting the thickness of the bandsaw cut, the robotically carved timber boards can be assembled as complex single curvature surfaces or double-curvature surfaces. The undulating wooden surfaces accentuate the building’s program and yet remain reminiscent of the natural log geometry which they are derived from. The curvature of the wood is strategically deployed to highlight moments of architectural importance such as windows, entrances, roofs, canopies, or provide additional programmatic opportunities such as integrated shelving, desk space, or storage.
series	ACADIA
type	project
email
last changed	2021/10/26 08:08

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