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

PDF papers
References

Hits 1 to 20 of 2203

Reformat results as: short short into frame detailed detailed into frame

_id	sigradi2022_298
id	sigradi2022_298
authors	Perry, Isha N.; Xue, Zhouyi; Huang, Hui-Ling; Crispe, Nikita; Vegas, Gonzalo; Swarts, Matthew; Gomez Z., Paula
year	2022
title	Human Behavior Simulations to Determine Best Strategies for Reducing COVID-19 Risk in Schools
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 39–50
summary	The dynamics of COVID-19 spread have been studied from an epidemiological perspective, at city, country, and global scales (Rabajante, 2020, Ma, 2020, and Giuliani et al., 2020), although after two years of the pandemic we know that viruses spread mostly through built environments. This study is part of the Spatiotemporal Modeling of COVID-19 spread in buildings research (Gomez, Hadi, and Kemenova et al., 2020 and 2021), which proposes a multidimensional model that integrates spatial configurations, temporal use of spaces, and virus characteristics into one multidimensional model. This paper presents a specific branch of this model that analyzes the behavioral parameters, such as vaccination, masking, and mRNA booster rates, and compares them to reducing room occupancy. We focused on human behavior, specifically human interactions within six feet. We utilized the multipurpose simulation software, AnyLogic, to quantify individual exposure to the virus, in the high school building by Perkins and Will. The results show how the most effective solution, reducing the occupancy rates or redesigning layouts, being the most impractical one, is as effective as 80% of the population getting a third boost.
keywords	Spatiotemporal Modeling, Behavior Analytics, COVID-19 Spread, Agent-Based Simulation, COVID-19 Prevention
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	acadia21_530
id	acadia21_530
authors	Adel, Arash; Augustynowicz, Edyta; Wehrle, Thomas
year	2021
title	Robotic Timber Construction
doi	https://doi.org/10.52842/conf.acadia.2021.530
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 S. Parascho, J. Scott, and K. Dörfler. 530-537.
summary	Several research projects (Gramazio et al. 2014; Willmann et al. 2015; Helm et al. 2017; Adel et al. 2018; Adel Ahmadian 2020) have investigated the use of automated assembly technologies (e.g., industrial robotic arms) for the fabrication of nonstandard timber structures. Building on these projects, we present a novel and transferable process for the robotic fabrication of bespoke timber subassemblies made of off-the-shelf standard timber elements. A nonstandard timber structure (Figure 2), consisting of four bespoke subassemblies: three vertical supports and a Zollinger (Allen 1999) roof structure, acts as the case study for the research and validates the feasibility of the proposed process.
series	ACADIA
type	project
email
last changed	2023/10/22 12:06

_id	ecaade2021_203
id	ecaade2021_203
authors	Arora, Hardik, Bielski, Jessica, Eisenstadt, Viktor, Langenhan, Christoph, Ziegler, Christoph, Althoff, Klaus-Dieter and Dengel, Andreas
year	2021
title	Consistency Checker - An automatic constraint-based evaluator for housing spatial configurations
doi	https://doi.org/10.52842/conf.ecaade.2021.2.351
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. 351-358
summary	The gradual rise of artificial intelligence (AI) and its increasing visibility among many research disciplines affected Computer-Aided Architectural Design (CAAD). Architectural deep learning (DL) approaches are being developed and published on a regular basis, such as retrieval (Sharma et al. 2017) or design style manipulation (Newton 2019; Silvestre et al. 2016). However, there seems to be no method to evaluate highly constrained spatial configurations for specific architectural domains (such as housing or office buildings) based on basic architectural principles and everyday practices. This paper introduces an automatic constraint-based consistency checker to evaluate the coherency of semantic spatial configurations of housing construction using a small set of design principles to evaluate our DL approaches. The consistency checker informs about the overall performance of a spatial configuration followed by whether it is open/closed and the constraints it didn't satisfy. This paper deals with the relation of spaces processed as mathematically formalized graphs contrary to existing model checking software like Solibri.
keywords	model checking, building information modeling, deep learning, data quality
series	eCAADe
email
last changed	2022/06/07 07:54

_id	caadria2021_089
id	caadria2021_089
authors	Cristie, Verina, Ibrahim, Nazim and Joyce, Sam Conrad
year	2021
title	Capturing and Evaluating Parametric Design Exploration in a Collaborative Environment - A study case of versioning for parametric design
doi	https://doi.org/10.52842/conf.caadria.2021.2.131
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 131-140
summary	Although parametric modelling and digital design tools have become ubiquitous in digital design, there is a limited understanding of how designers apply them in their design processes (Yu et al., 2014). This paper looks at the use of GHShot versioning tool developed by the authors (Cristie & Joyce, 2018; 2019) used to capture and track changes and progression of parametric models to understand early-stage design exploration and collaboration empirically. We introduce both development history graph-based metrics (macro-process) and parametric model and geometry change metric (micro-process) as frameworks to explore and understand the captured progression data. These metrics, applied to data collected from three cohorts of classroom collaborative design exercises, exhibited students' distinct modification patterns such as major and complex creation processes or minor parameter explorations. Finally, with the metrics' applicability as an objective language to describe the (collaborative) design process, we recommend using versioning for more data-driven insight into parametric design exploration processes.
keywords	Design exploration; parametric design; history recording; version control; collaborative design
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2021_412
id	caadria2021_412
authors	Estrina, Tatiana, Hui, Vincent and Ma, Lena
year	2021
title	The Digital Design Build - Modes of Experiential Learning in the Pandemic Era
doi	https://doi.org/10.52842/conf.caadria.2021.2.041
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. 41-50
summary	In recent years, academia has deviated from the lecture-based model to a hybridized system of instruction and experiential learning. Experiential learning aids students in understanding collaborative processes in architectural praxis and exposes them to engaging learning opportunities, a critical component of architectural studio education (Nijholt et al. 2013). During the COVID-19 outbreak, students are barred from accessing on-campus facilities. This causes a redevelopment of curricular delivery and disrupts experiential learning which heavily relies on in-person interaction. It is imperative for instructors to retain experiential learning in the transition to virtual instruction. This paper explores experiential learning within virtual platforms for instruction. Through outlining the implementation of technologies, capitalizing on connectivity, and maximizing opportunity for digital problem solving, the authors posit a framework that other educators may adopt. The paper concludes with a case study of a virtual design-build project, and the various techniques implemented in retaining experiential learning during the pandemic.
keywords	Pedagogy; Experiential learning; Social connectivity; Resilience; Disrupted education
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2023_127
id	caadria2023_127
authors	Franze, Anthony, Caldwell, Glenda, Belek Fialho Teixeira, Muge and Rittenbruch, Markus
year	2023
title	Informing User-Centred Approaches to Augmented Custom Manufacturing Practices
doi	https://doi.org/10.52842/conf.caadria.2023.1.353
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 353–362
summary	This practice-based research presents insights into the potential and challenges for augmented and mixed reality (AR/MR) technology to enhance Australian small-to-medium (SME) custom manufacturers’ agility to overcome existing Industry 4.0 (I4.0) workforce productivity and efficiency challenges. Moreover, it seeks to understand the technology’s ability to support custom manufacturers and the architectural, engineering and construction (AEC) sector transition to a more human-centric Industry 5.0 (I5.0) model, whereby the well-being of the fabricator is placed back at the centre of manufacturing processes. This qualitative study draws on interviews with eleven Australian custom manufacturing industry professionals to inform pertinent themes around fabricators’ current use and perceptions of mixed reality technology. Results indicate benefits for fabricators in reducing 2D drawing and task-related ambiguities in fabrication and assembly practices and reveal factors surrounding underutilisation. Synthesising insights and reflecting on Teixeira et al., (2021)’s XR-PACT framework, key research areas are identified for future AR/MR development centred on fabrication users’ distinct needs to improve accessibility, empower fabricators and ultimately assist the competitiveness of custom manufacturers and the AEC sector.
keywords	Augmented and Mixed Reality, Custom Manufacturing, SME, User-centred design, Industry 5.0
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	ecaade2021_297
id	ecaade2021_297
authors	Guida, George, Tian, Runjia and Dong, Yuebin
year	2021
title	Multimodal Virtual Experience for Design Schools in the Immersive Web
doi	https://doi.org/10.52842/conf.ecaade.2021.1.415
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. 415-424
summary	The COVID-19 pandemic has made most schools, universities, and gathering spaces fully virtual. Commonly used communication platforms such as Zoom, Skype, and Microsoft Teams are limited in recreating physical interactions and offer mostly static interfaces with limited occasions for spontaneous encounters. This project creates a space that seeks to address this issue, first through the digitization of familiar physical spaces, and then through their augmentation via WebXR technologies[1]. A gamification strategy is adopted, where users can virtually learn, collaborate and socialize through personalized avatars within a dynamic and multi-sensorial digital environment. In this paper, we present a completed prototype that is currently being tested at the Harvard Graduate School of Design. The school of architecture has been digitized and experientially augmented thanks to an asymmetrical system that offers rich modalities of interaction through different platforms. The project builds upon the wide experiential potential of digital platforms, otherwise not possible in reality, and implements a customized multi-modal user interface (Reeves et al. 2004).
keywords	WebXR; Virtual Reality; Human Computer Interaction; Gamification; User Interface
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ecaade2021_103
id	ecaade2021_103
authors	Hussein, Hussein E. M., Agkathidis, Asterios and Kronenburg, Robert
year	2021
title	Towards a Free-form Transformable Structure - A critical review for the attempts of developing reconfigurable structures that can deliver variable free-form geometries
doi	https://doi.org/10.52842/conf.ecaade.2021.2.381
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. 381-390
summary	In continuation of our previous research (Hussein, et al., 2017), this paper examines the kinetic transformable spatial-bar structures that can alter their forms from any free-form geometry to another, which can be named as Free-form transformable structures (FFTS). Since 1994, some precedents have been proposed FFTS for many applications such as controlling solar gain, providing interactive kinetic forms, and control the users' movement within architectural/urban spaces. This research includes a comparative analysis and a critical review of eight FFTS precedents, which revealed some design and technical considerations, issues, and design and evaluation challenges due to the FFTS ability to deliver infinite unpredictable form variations. Additionally, this research presents our novel algorithmic framework to design and evaluate the infinite form variations of FFTS and an actuated prototype that achieved the required movement. The findings of this study revealed some significant design and technical challenges and limitations that require further research work.
keywords	Kinetic transformable structures; finite element analysis; form-finding; deployable structures; Grasshopper 3D; Karamba 3D
series	eCAADe
email
last changed	2022/06/07 07:50

_id	acadia23_v3_189
id	acadia23_v3_189
authors	Leung, Pok Yin Victor; Huang, Yijiang
year	2023
title	Task and Motion Planning for Robotic Assembly
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 3: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-1-0]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 24-32.
summary	When programming robotic assembly processes, it is often necessary to create a sequential list of actions. Some actions are robotic motions (requiring motion trajectory), and some are for controlling external equipment, such as grippers and fastening tools. The act of planning these actions and motion trajectories is called Task Planning and Motion Planning. Existing literature in robotics explored many different planning algorithms for planning a single trajectory to planning a complete sequence of tasks where continuity is maintained [Garrett et al, 2021]. Many application literature focused on the TAMP for service robots, medical robots, and self-driving cars, while there are few examples for architectural applications. For digital fabrication and automated construction, the planning method has to be adapted to the needs of architectural assemblies and the scale of construction [Leung et al, 2021]. Some of the unique challenges are the highly bespoke workpiece and assembly geometry, the large workpiece (e.g., long beams), and a dense collision environment. This three-day hybrid workshop addressed the needs of the architectural robotics community to use industrial robotic arms to assemble highly bespoke objects. The objects do not have any repetitive parts or assembly targets. The workshop leaders shared their experiences using industrial robots to construct large-scale timber structures. One of the most useful techniques is the recently published “Flowchart Planning Method,” where task sequence is planned using a flowchart, and motion trajectories are planned in a second pass [Huang et al, 2021].
series	ACADIA
type	workshop
last changed	2024/04/17 14:00

_id	ecaade2022_302
id	ecaade2022_302
authors	Lu, Xin, Meng, Zeyuan, Rodriguez, Alvaro Lopez and Pantic, Igor
year	2022
title	Reusable Augmented Concrete Casting System - Accessible method for formwork manufacturing through holographic guidance
doi	https://doi.org/10.52842/conf.ecaade.2022.1.371
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 371–380
summary	Reinforced concrete has been one of the essential materials for modern architecture for the last hundred years. Its use is entirely global, having been adopted by all cultures and styles since its invention in the late 19th century. Although its value is excellent due to its low cost, durability and adaptability, its environmental impact is significant, being, in fact, one of the most polluting industries in the world (Babor et al. 2009). This experimental project will research a more sustainable use of concrete, exploring a new form of reusable concrete formwork that will ideally reduce the CO2 footprint by removing wood waste in the casting process and replacing it with adaptable metal components. The modular part-based system for the concrete casting also attempts to simplify one of the current complexities for concrete construction, the Skilled-Labour shortage. (Yusoff et al. 2021). To mitigate this problem, the project also proposes using an Augmented Assembly logic for the casting parts to guide the ensemble and dismantle the formwork through an optimised algorithmic logic. The use of Augmented Reality as a replacement for traditional paper instructions will facilitate access to more workers to this construction art and potentially improve access to optimised use of concrete in developing communities with restricted building technological resources.
keywords	Mixed Reality, Distributed Manufacturing, Augmented Manufacturing, Sustainability, Computational Design, Concrete Casting
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2023_395
id	caadria2023_395
authors	Luo, Jiaxiang, Mastrokalou, Efthymia, Aldaboos, Sarah and Aldabous, Rahaf
year	2023
title	Research on the Exploration of Sprayed Clay Material and Modeling System
doi	https://doi.org/10.52842/conf.caadria.2023.2.231
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 231–240
summary	As a traditional building material, clay has been used by humans for a long time. From early civilisations, to the modern dependence on new technologies, the craft of clay making is commonly linked with the use of moulds, handmade creations, ceramic extruders, etc. (Schmandt and Besserat, 1977). Clay in the form of bricks is one of the oldest building materials known (Fernandes et al, 2010). This research expands the possibilities offered by standardised bricks by testing types of clay, forms, shapes, porosity, and structural methods. The traditional way of working with clay relies on human craftsmanship and is based on the use of semi-solid clay (Fernandes et al., 2010). However, there is little research on the use of clay slurry. With the rise of 3D printing systems in recent years, research and development has been emerging on using clay as a 3D printing filament (Gürsoy, 2018). Researchers have discovered that in order for 3D-printed clay slurry to solidify quickly to support the weight of the added layers during printing, curing agents such as lime, coal ash, cement, etc. have to be added to the clay slurry. After adding these substances, clay is difficult to be reused and can have a negative effect on the environment (Chen et al., 2021). In this study, a unique method for manufacturing clay elements of intricate geometries is proposed with the help of an internal skeleton that can be continuously reused. The study introduces the process of applying clay on a special structure through spraying and showcases how this method creates various opportunities for customisation of production.
keywords	Spray clay, Substructure, 3D printing, Modelling system, Reusable
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	architectural_intelligence2023_16
id	architectural_intelligence2023_16
authors	Philip F. Yuan
year	2023
title	Toward a generative AI-augmented design era
doi	https://doi.org/https://doi.org/10.1007/s44223-023-00038-9
source	Architectural Intelligence Journal
summary	With the rapid development of Artificial Intelligence (AI), the relationship between humans and machines has become a significant concern. One view suggests that AI will possess subjectivity: Matias del Campo emphasises that, unlike traditional tools that teach machines how to perform, artificial intelligence teaches machines how to learn (Campo, 2022). According to him, AI has the capability and awareness to recognise the world; Neil Leach et al. argue that AI will replace the majority of architects, resulting in widespread unemployment (Leach, 2021). Other opinions hold that AI is unconscious, incapable of thought, and identical to tools such as cellular automata machines, parameterisation, etc. According to Mario Carpo, the data-driven AI employs iterative optimisation to solve problems, which must be quantifiable and amenable to optimisation. Therefore, AI’s role as a tool is limited to measurable phenomena and factors (Carpo, 2023).
series	Architectural Intelligence
email
last changed	2025/01/09 15:03

_id	caadria2021_053
id	caadria2021_053
authors	Rhee, Jinmo and Veloso, Pedro
year	2021
title	Generative Design of Urban Fabrics Using Deep Learning
doi	https://doi.org/10.52842/conf.caadria.2021.1.031
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. 31-40
summary	This paper describes the Urban Structure Synthesizer (USS), a research prototype based on deep learning that generates diagrams of morphologically consistent urban fabrics from context-rich urban datasets. This work is part of a larger research on computational analysis of the relationship between urban context and morphology. USS relies on a data collection method that extracts GIS data and converts it to diagrams with context information (Rhee et al., 2019). The resulting dataset with context-rich diagrams is used to train a Wasserstein GAN (WGAN) model, which learns how to synthesize novel urban fabric diagrams with the morphological and contextual qualities present in the dataset. The model is also trained with a random vector in the input, which is later used to enable parametric control and variation for the urban fabric diagram. Finally, the resulting diagrams are translated to 3D geometric entities using computer vision techniques and geometric modeling. The diagrams generated by USS suggest that a learning-based method can be an alternative to methods that rely on experts to build rule sets or parametric models to grasp the morphological qualities of the urban fabric.
keywords	Deep Learning; Urban Fabric; Generative Design; Artificial Intelligence; Urban Morphology
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia23_v1_220
id	acadia23_v1_220
authors	Ruan, Daniel; Adel, Arash
year	2023
title	Robotic Fabrication of Nail Laminated Timber: A Case Study Exhibition
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 1: Projects Catalog of the 43rd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 220-225.
summary	Previous research projects (Adel, Agustynowicz, and Wehrle 2021; Adel Ahmadian 2020; Craney and Adel 2020; Adel et al. 2018; Apolinarska et al. 2016; Helm et al. 2017; Willmann et al. 2015; Oesterle 2009) have explored the use of comprehensive digital design-to-fabrication workflows for the construction of nonstandard timber structures employing robotic assembly technologies. More recently, the Robotically Fabricated Structure (RFS), a bespoke outdoor timber pavilion, demonstrated the potential for highly articulated timber architecture using short timber elements and human-robot collaborative assembly (HRCA) (Adel 2022). In the developed HRCA process, a human operator and a human fabricator work alongside industrial robotic arms in a shared working environment, enabling collaborative fabrication approaches. Building upon this research, we present an exploration adapting HRCA to nail-laminated timber (NLT) fabrication, demonstrated through a case study exhibition (Figures 1 and 2).
series	ACADIA
type	project
email
last changed	2024/04/17 13:58

_id	sigradi2021_217
id	sigradi2021_217
authors	Salgado Melo, Ramses Vladimir and Becerra Santacruz, Axel
year	2021
title	Design of Bio-Receptive Vertical Architectural Surfaces
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. 1371–1384
summary	In the search for proposals and solutions related to the design of architectural envelopes, such as vertical gardens, there is data that shows that these strategies favor the improvement of the thermal capacity of these architectural skins (Oberndorfer et al., 2007). By means of passive strategies, this research aims to applied innovation in the development of a prototype of a bio-receptive surface that generates the favorable conditions for the proliferation development of vegetative agents, using concrete as a supporting base and modifying their pH levels with the objective of generating a balance for the proliferation of bryophytes. Through iterative experimental processes, a relationship between shape, surface and material composition is sought to generate a surface that produces bio-receptivity conditions.
keywords	Responsividad, bio-receptividad, variabilidad, colonización, briofitos.
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	ecaade2024_361
id	ecaade2024_361
authors	Sochùrková, Petra; Devyatkina, Svetlana; Kordová, Sára; Vaško, Imrich; Tsikoliya, Shota
year	2024
title	Bioreceptive Parameters for Additive Manufacturing of Clay based Composites
doi	https://doi.org/10.52842/conf.ecaade.2024.1.045
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 45–54
summary	Due to climate change and the problematic amount of waste and CO2 emissions in the construction industry, non-human organisms and sustainable solutions are key motivators of the study. This paper focuses on developing a bioreceptive (Guillitte, 1995) composite suitable for additive manufacturing, composed to support growth of various organisms. It investigates key properties which have shown to be beneficial for promoting biological growth, such as water absorption, water permeability, humidity, and surface texture. The study evaluates the effect of two groups of clay-based waste additives, wooden sawdust (Arslan, et al., 2021) and sediment material sourced from local tunnel excavation in Prague. Simultaneously the need for intelligent reintegration and waste use is prevalent. Additive fabrication offers the ability to test a variety of composites and (re-)integrate them into the manufacturing processes. Current approach explores how to design artificial environments/skins for greenery and small life with the potential to improve both diversity and survivability while maintaining a better climate in its immediate surroundings. Bioreceptive design has the potential to improve the quality of the urban environment and bring new aesthetic influences into it (Cruz and Beckett 2016, p. 51-64).
keywords	Digital Design, Material Research, Bioreceptive Design, Robotic Fabrication, Additive Manufacturing, Experimental Pastes, Bio compatibility, Waste Materials, Clay Composites
series	eCAADe
email
last changed	2024/11/17 22:05

_id	ecaade2023_259
id	ecaade2023_259
authors	Sonne-Frederiksen, Povl Filip, Larsen, Niels Martin and Buthke, Jan
year	2023
title	Point Cloud Segmentation for Building Reuse - Construction of digital twins in early phase building reuse projects
doi	https://doi.org/10.52842/conf.ecaade.2023.2.327
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 327–336
summary	Point cloud processing has come a long way in the past years. Advances in computer vision (CV) and machine learning (ML) have enabled its automated recognition and processing. However, few of those developments have made it through to the Architecture, Engineering and Construction (AEC) industry. Here, optimizing those workflows can reduce time spent on early-phase projects, which otherwise could be spent on developing innovative design solutions. Simplifying the processing of building point cloud scans makes it more accessible and therefore, usable for design, planning and decision-making. Furthermore, automated processing can also ensure that point clouds are processed consistently and accurately, reducing the potential for human error. This work is part of a larger effort to optimize early-phase design processes to promote the reuse of vacant buildings. It focuses on technical solutions to automate the reconstruction of point clouds into a digital twin as a simplified solid 3D element model. In this paper, various ML approaches, among others KPConv Thomas et al. (2019), ShapeConv Cao et al. (2021) and Mask-RCNN He et al. (2017), are compared in their ability to apply semantic as well as instance segmentation to point clouds. Further it relies on the S3DIS Armeni et al. (2017), NYU v2 Silberman et al. (2012) and Matterport Ramakrishnan et al. (2021) data sets for training. Here, the authors aim to establish a workflow that reduces the effort for users to process their point clouds and obtain object-based models. The findings of this research show that although pure point cloud-based ML models enable a greater degree of flexibility, they incur a high computational cost. We found, that using RGB-D images for classifications and segmentation simplifies the complexity of the ML model but leads to additional requirements for the data set. These can be mitigated in the initial process of capturing the building or by extracting the depth data from the point cloud.
keywords	Point Clouds, Machine Learning, Segmentation, Reuse, Digital Twins
series	eCAADe
email
last changed	2023/12/10 10:49

_id	acadia23_v3_71
id	acadia23_v3_71
authors	Vassigh, Shahin; Bogosian, Biayna
year	2023
title	Envisioning an Open Knowledge Network (OKN) for AEC Roboticists
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 3: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-1-0]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 24-32.
summary	The construction industry faces numerous challenges related to productivity, sustainability, and meeting global demands (Hatoum and Nassereddine 2020; Carra et al. 2018; Barbosa, Woetzel, and Mischke 2017; Bock 2015; Linner 2013). In response, the automation of design and construction has emerged as a promising solution. In the past three decades, researchers and innovators in the Architecture, Engineering, and Construction (AEC) fields have made significant strides in automating various aspects of building construction, utilizing computational design and robotic fabrication processes (Dubor et al. 2019). However, synthesizing innovation in automation encounters several obstacles. First, there is a lack of an established venue for information sharing, making it difficult to build upon the knowledge of peers. First, the absence of a well-established platform for information sharing hinders the ability to effectively capitalize on the knowledge of peers. Consequently, much of the research remains isolated, impeding the rapid dissemination of knowledge within the field (Mahbub 2015). Second, the absence of a standardized and unified process for automating design and construction leads to the individual development of standards, workflows, and terminologies. This lack of standardization presents a significant obstacle to research and learning within the field. Lastly, insufficient training materials hinder the acquisition of skills necessary to effectively utilize automation. Traditional in-person robotics training is resource-intensive, expensive, and designed for specific platforms (Peterson et al. 2021; Thomas 2013).
series	ACADIA
type	field note
email
last changed	2024/04/17 13:59

_id	sigradi2021_18
id	sigradi2021_18
authors	Verniz, Debora and Duarte, José P
year	2021
title	Assessing Santa Marta: Using Evaluation Tools to Inform Parametric Urban Design
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. 749–758
summary	Lack of affordable housing is a worldwide problem. Rapid urbanization, rural exodus, and poor governance policies have contributed to the problem and, in response, low-income populations resort to self-construction. The result are informal settlements located predominantly in marginalized urban areas (United Nations, 2015) that develop with neither urban infrastructure nor compliance with building and planning codes (Lall et al., 2006; Patel et al., 2018; United Nations Human Settlements Programme, 2012) and, consequently, offer a poor-quality built environment. The goal of this paper is to methodologically identify physical aspects of such built environments that could be improved. We evaluate a case study, the Santa Marta favela in Brazil, using a holistic housing-quality assessment tool and local building and planning codes as reference. Our results identify the physical characteristics with lower quality standards in the case study and demonstrate the efficacy of the methodology introduced for this purpose.
keywords	housing quality assessment, building codes, informal settlements, parametric urban design, Santa Marta favela.
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	caadria2021_231
id	caadria2021_231
authors	Wong, Kwan Ki Calvin and van Ameijde, Jeroen
year	2021
title	In-Between Spaces: Data-driven Analysis and Generative Design for Public Housing Estate Layouts
doi	https://doi.org/10.52842/conf.caadria.2021.2.397
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. 397-406
summary	As Hong Kong constructs increasingly high-density, high-rise public housing estates to increase land use efficiency, public in-between spaces are more constrained, which impacts the quality of social relations, movements and daily practices of residents (Shelton et al. 2011; Tang et al. 2019). Current planning practices are focused on the achievement of quantitative performance measures, rather than qualitative design considerations that support residents experiences and community interaction. This paper presents a new methodology that combines urban analysis and generative design for the regeneration of social housing estates, based on the spatial and social qualities of their in-between spaces.
keywords	Social Housing; Public Open Space; Generative Design; Urban Planning
series	CAADRIA
email
last changed	2022/06/07 07:57

For more results click below: