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	ijac202119312
id	ijac202119312
authors	Chen, Chen; Chacón Vega, Ricardo Jose; Kong, Tiong Lee
year	2021
title	Using genetic algorithm to automate the generation of an open-plan office layout
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 3, 449–465
summary	Today, the concept of open plan is more and more widely accepted that many companies have switched to open-plan offices. Their design is an issue in the scope of space layout planning. Although there are many professional architectural layout design software in the market, in the real life, office designers seldom use these tools because their license fees are usually expensive and using them to solve an open-plan office design is like using an overly powerful and expensive tool to fix a minor problem. Therefore, manual drafting through a trial and error process is most often used. This article attempts to propose a lightweight tool to automate open-plan office layout generation using a nested genetic algorithm optimization with two layers, where the inner layer algorithm is embedded in the outer one. The result is enhanced by a local search. The main objective is to maximize space utilization by maximizing the size of the open workspace. This approach is different from its precedents, in that the location search is conducted on a grid map rather than several pre-selected candidate locations. Consequently, the generated layout design presents a less rigid workstation arrangement, inviting a casual and unrestrictive work environment. The real potential of the approach is reflected in the productivity of test fits. Automating and simplifying the generation of layouts for test fits can tremendously decrease the amount of time and resources required to generate them. The experimental case study shows that the developed approach is powerful and effective, making it a totally automated process.
keywords	Automated process, office design, genetic algorithm, open-plan office, space layout planning
series	journal
email
last changed	2024/04/17 14:29

_id	acadia21_70
id	acadia21_70
authors	McAndrew, Claire; Jaschke, Clara; Retsin, Gilles; Saey, Kevin; Claypool, Mollie; Parissi, Danaë
year	2021
title	House Block
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. 70-75.
doi	https://doi.org/10.52842/conf.acadia.2021.070
summary	House Block was a temporary housing prototype in East London, UK from April to May 2021. The project constituted the most recent in a series of experiments developing Automated Architecture (AUAR) Labs’ discrete framework for housing production, one which repositions the architect as curator of a system and enables participants to engage with active agency. Recognizing that there is a knowledge gap to be addressed for this reconfiguration of practices to take form, this project centred on making automation and its potential for local communities tangible. This sits within broader calls advocating for a more material alignment of inclusive design with makers and 21st Century making in practice (see, for example, Luck 2018). House Block was designed and built using AUAR’s discrete housing system consisting of a kit of parts, known as Block Type A. Each block was CNC milled from a single sheet of plywood, assembled by hand, and then post-tensioned on site. Constructed from 270 identical blocks, there are no predefined geometric types or hierarchy between parts. The discrete enables an open-ended, adaptive system where each block can be used as a column, floor slab, wall, or stair—allowing for disconnection, reconfiguration, and reassembly (Retsin 2019). The democratisation of design and production that defines the discrete creates points for alternative value systems to enter, for critical realignments in architectural production.
series	ACADIA
type	project
email
last changed	2023/10/22 12:06

_id	ijac202119202
id	ijac202119202
authors	Ostrowska-Wawryniuk, Karolina
year	2021
title	Prefabrication 4.0: BIM-aided design of sustainable DIY-oriented houses
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 2, 142–156
summary	In the context of continuous housing shortage, increasing construction standards and rising labour costs, one of the possibilities to address this array of problems is prefabrication directed towards do-it-yourself (DIY) construction methods. This paper presents a prototype tool for aiding the design of DIY-oriented single-family houses with the use of small-element timber prefabrication. The introduced solution uses the potential of BIM technology for adapting a traditionally designed house to the prefabrication requirements and reduction of waste generated in the assembly process. The experimental tool was developed in the Autodesk Revit software. It incorporates custom Dynamo-for-Revit scripts. The experimental tool implemented the user- and technology-specified boundary conditions and converted an input BIM model into a prefabricated alternative. The tool was tested on the design of a two-story single-family house. The results compare the automated optimized panelization with manual approach. The simulation revealed the possibility of the construction waste reduction by at least 50% when comparing to the non-optimized panelization.
keywords	DIY construction, prefabricated house, timber prefabrication, small-panel prefabrication, BIM-aided panelization, Building Information Modelling
series	journal
email
last changed	2024/04/17 14:29

_id	ecaade2021_130
id	ecaade2021_130
authors	Alassaf, Nancy and Clayton, Mark
year	2021
title	The Use of Diagrammatic Reasoning to Aid Conceptual Design in Building Information Modeling (BIM)
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. 39-48
doi	https://doi.org/10.52842/conf.ecaade.2021.2.039
summary	Architectural design is an intellectual activity where the architect moves from the abstract to the real. In this process, the abstract represents the logical reasoning of how architectural form is configured or structured, while the real refers to the final physical form. Diagrams become an integral part of the conceptual design stage because they mediate between those two realms. Building Information Modeling (BIM) can reallocate the effort and time to emphasize conceptual design. However, many consider BIM a professionally-oriented tool that is less suitable for the early design stages. This research suggests that architectural design reasoning can be achieved using constraint-based parametric diagrams to aid conceptual design in BIM. The study examines several techniques and constructs a framework to use diagrams in the early design stages. This framework has been investigated through Villa Stein and Citrohan House by Le Corbusier. This study addresses two roles of diagrams: the generative role to create various design solutions and the analytical one to conduct an early performance study of the building. Our research contributes to the discussion on the ways designers can use digital diagrams to support the architectural design process.
keywords	Building Information Modeling (BIM); Performance analysis ; Architectural Form; Diagram; Parametric modeling
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia21_212
id	acadia21_212
authors	Gillespie, David; Qin, Zehao; Aish, Francis
year	2021
title	An Extended Reality Collaborative Design System
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. 212-221.
doi	https://doi.org/10.52842/conf.acadia.2021.212
summary	This paper presents a new system that enables an eXtended Reality (XR) collaborative design review process, by augmenting an existing physical mockup or environment with virtual models at 1:1 scale in-situ. By using this new hybrid approach, existing context can be extended with minimal or no base physical structure through a simulated VR/AR environment to facilitate stakeholder design collaboration in a manner that was previously either cost prohibitive or technically unfeasible. Through combining real and virtual in this way, the sense of realism can be enhanced, increasing engagement and participation in the design process. An approach to apply AR/VR to uncontrolled environments is described, allowing it to overcome challenges such as tracking and mapping, and allowing users to walk around freely in-situ. Two examples are presented where the system has been used in live project environments, one as a design tool for client review and engagement, and the other as part of a public planning process.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	artificial_intellicence2019_87
id	artificial_intellicence2019_87
authors	Ming Lu, Wei Ran Zhu, and Philip F. Yuan
year	2020
title	Toward a Collaborative Robotic Platform: FUROBOT
source	Architectural Intelligence Selected Papers from the 1st International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
doi	https://doi.org/https://doi.org/10.1007/978-981-15-6568-7_6
summary	In usual robotic fabrication by 6-axis industrial robots such as KUKA, ABB, and other brands, the usual robot’s 4th, 5th, and 6th axis is exactly converged in one point. When this type robot (pieper) is doing movement commands, setting the degree of 4th axis close to zero is an ideal condition for motion stability, especially for putting device which connects to tool head on 4th axis arm part. In plastic melting or others print which not cares the rotation angle about the printing direction (the printing direction means the effector’s output normal direction vector, KUKA is X axis, ABB is Z axis), the optimization of 4th axis technology not only makes printing stable but also makes better quality for printing. The paper introduces a new algorithm to get the analytics solution. The algorithm is clearly explained by mathematics and geometry ways. At the end of the paper, a grasshopper custom plugin is provided, which contains this new algorithm, with this plugin, people can get the optimized target path plane more easily.
series	Architectural Intelligence
email
last changed	2022/09/29 07:28

_id	acadia21_258
id	acadia21_258
authors	Augustynowicz, Edyta; Smigielska, Maria; Nikles, Daniel; Wehrle, Thomas; Wagner, Heinz
year	2021
title	Parametric design and multirobotic fabrication of wood facades
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. 258-269.
doi	https://doi.org/10.52842/conf.acadia.2021.258
summary	The paper describes the findings of the applied research project by Institute Integrative Design (currently ICDP) HGK FHNW and ERNE AG Holzbau to design and manufacture prefabricated wooden façades in the collaborative design manner between architects and industry. As such, it is an attempt to respond to the current interdisciplinary split in the construction, which blocks innovation and promotes standardized inefficient building solutions. Within this project, we apply three innovations in the industrial setup that result in the integrated design-to-production process of individualized, cost-efficient and well-crafted façades. The collaborative design approach is a method in which architect, engineer and manufacturer start exchange on the early stage of the project during the collaborative design workshops. Digital design and fabrication tools enable architects to generate a large scope of façade variations within production feasibility of the manufacturer and engineers to prepare files for robotic production. Novel multi-robot fabrication processes, developed with the industrial partner, allows for complex façade assembly. This paper introduces the concept of digital craftsmanship, manifested in a mixed fabrication system, which intelligently combines automated and manual production to obtain economic feasibility and highest aesthetic quality. Finally, we describe the design and fabrication of the project demonstrator consisting of four intricate façades on a modular office building, inspired by local traditional solutions, which validate the developed methods and highlight the architectural potential of the presented approach.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2021_118
id	caadria2021_118
authors	Huang, Chien-hua
year	2021
title	Reinforcement Learning for Architectural Design-Build - Opportunity of Machine Learning in a Material-informed Circular Design Strategy
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. 171-180
doi	https://doi.org/10.52842/conf.caadria.2021.1.171
summary	This paper discusses the potentials of reinforcement learning in game engine for design, implementation, and construction of architecture. It inaugurates a new design tool that promotes a material-informed design-build workflow for architectural design and construction industries that achieves a comprehensive circular economy. As a proof of concept, it uses the project Reform Standard, a machine-learning-based searching system that designs new shell structures composed of existing wasted materials, as a demonstration to discuss how reinforcement learning, machine vision and automated searching algorithm in the game engine can promote a material-aware design and converts wastes into construction materials. The demonstrator project sorts and transforms irregular chunks of wasted broken plastics into a new form. Instead of recycling those wastes in an energy-intensive process, the game engine is capable of finding the intricacy and new machine-oriented aesthetics in those otherwise neglected wastes. Furthermore, future research directions such as robotic-aided construction are discussed by exposing the potentials and problems in the demonstrated project. Finally, the future circular strategy is discussed beyond the demonstrated tests and local uses. The standardization of material, legislation and material lifecycle needs to be comprehensively considered and designed by architects and designers during conceptual design phase.
keywords	Reinforcement Learning; ML-Agents; Unity3D; circular design; geometric analysis
series	CAADRIA
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	caadria2021_067
id	caadria2021_067
authors	Michopoulou, Sofia, Giesecke, Rena, Ward Van den Bulcke, Jonas, Odaglia, Pietro and Dillenburger, Benjamin
year	2021
title	Robotic Color Grading for Glass - Additive Manufacturing of Heterogeneous Color and Transparency
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. 563-572
doi	https://doi.org/10.52842/conf.caadria.2021.1.563
summary	This paper presents a new additive manufacturing method for color grading of glass. Color-graded elements, ranging from product design to architectural scale, could filter light and view in a novel way through locally differentiated color and opacity, and produce color effects in space. Existing methods for manufacturing multi-colored glass are either not economic for building due to labor intensity, limited to surface applications or small scale objects made of resins or plastics. To allow for automated color grading of glass in two-and-a-half and three dimensions we propose a robotic multi-channel process. The multi-channel tool mounted on a Universal Robot consists of four compartments, containing red, yellow, blue and transparent glass granules. Colors can be mixed on the fly by implementing varying flow rate ratios along the print path. Loose granules are fused in a kiln at high temperature into color-graded glass elements. The goal of this research is to lay the basis for color-graded elements of larger size and volume with higher pattern differentiation for functional and aesthetic purposes.
keywords	color grading; robotic fabrication; multi-channel printing; glass
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	ecaade2021_266
id	ecaade2021_266
authors	Pibal, Sophia, Khoss, Konstantin and Kovacic, Iva
year	2021
title	Prototype of an Algorithm-Aided BIM Tool for Semi-Automated Generation of Modular Residential Buildings
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. 67-76
doi	https://doi.org/10.52842/conf.ecaade.2021.2.067
summary	The research on novel design tools to enhance the production of residential buildings was the objective of this study. This ongoing research within the funded research project "Housing 4.0" aims to develop a BIM-based digital platform for ecological and affordable multi-storey housing. As part of the platform we developed the prototype of an Algorithm-aided BIM tool for the semi-automated generation of modular building designs.
series	eCAADe
email
last changed	2022/06/07 08:00

_id	ijac202119310
id	ijac202119310
authors	Schwartz, Yair; Raslan, Rokia; Korolija, Ivan; Mumovic, Dejan
year	2021
title	A decision support tool for building design: An integrated generative design, optimisation and life cycle performance approach
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 3, 401–430
summary	Building performance evaluation is generally carried out through a non-automated process, where computational models are iteratively built and simulated, and their energy demand is calculated. This study presents a computational tool that automates the generation of optimal building designs in respect of their Life Cycle Carbon Footprint (LCCF) and Life Cycle Costs (LCC). This is achieved by an integration of three computational concepts: (a) A designated space-allocation generative-design application, (b) Using building geometry as a parameter in NSGA-II optimization and (c) Life Cycle performance (embodied carbon and operational carbon, through the use of thermal simulations for LCCF and LCC calculation). Examining the generation of a two-storey terrace house building, located in London, UK, the study shows that a set of building parameters combinations that resulted with a pareto front of near-optimal buildings, in terms of LCCF and LCC, could be identified by using the tool. The study shows that 80% of the optimal building’s LCCF are related to the building operational stage (o= 2), while 77% of the building’s LCC is related to the initial capital investment (o= 2). Analysis further suggests that space heating is the largest contributor to the building’s emissions, while it has a relatively low impact on costs. Examining the optimal building in terms compliance requirements (the building with the best operational performance), the study demonstrated how this building performs poorly in terms of Life Cycle performance. The paper further presents an analysis of various life-cycle aspects, for example, a year-by-year performance breakdown, and an investigation into operational and embodied carbon emissions.
keywords	Generative design, genetic algorithms, thermal simulation, life cycle, carbon, LCA, NSGA-II, building performance
series	journal
email
last changed	2024/04/17 14:29

_id	caadria2021_099
id	caadria2021_099
authors	Shekhawat, Krishnendra
year	2021
title	A Graph Theoretic Approach for the Automated Generation of Dimensioned Floorplans
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. 141-150
doi	https://doi.org/10.52842/conf.caadria.2021.1.141
summary	The automated generation of architectural layouts is an intensively studied research area where the aim is to generate a variety of (initial) layouts for the given constraints which can be further modified by designers and architects. From a mathematical perspective, one of the well-known constraints is given in the form of an adjacency graph which represents the adjacency relations of the given rooms and problem is to generate multiple layouts satisfying the adjacency relations. In the literature, the adjacency graph is usually taken as a bi-connected planar triangular graph. In this paper, we present the results of a prototype GPLAN that generates multiple dimensioned layouts for any given planar graph. The larger aim of this work is to develop software that can produce a variety of architecturally acceptable floorplans corresponding to the given constraints.
series	CAADRIA
email
last changed	2022/06/07 07:56

_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
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
doi	https://doi.org/10.52842/conf.ecaade.2023.2.327
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	ijac202119201
id	ijac202119201
authors	Gumuskaya, Gizem
year	2021
title	Multimaterial bioprinting—minus the printer: Synthetic bacterial patterning with UV-responsive genetic circuits
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 2, 121–141
summary	In this paper, we argue that synthetic biology can help us employ living systems’ unique capacity for self-construction and biomaterial production toward developing novel architectural fabrication paradigms, in which both the raw material production and its refinement into a target structure can be merged into a single computational process embedded in the living structure itself. To demonstrate, here we introduce bioPheme, a novel biofabrication method for engineering bacteria to build biomaterial(s) of designer’s choice into arbitrary 2D geometries specified via transient UV tracing. To this end, we present the design, construction, and testing of the enabling synthetic DNA circuit, which, once inserted into a bacterial colony, allows the bacteria to execute spatial computation by interacting with one another based on the if-then rules encoded in this circuit. At the heart of this genetic circuit is a pair of UV sensor – actuator, and a pair of cell-to-cell signal transmitter – receptor modules, created with genes extracted from the virus ? Phage and marine bacterium Vibrio fischeri, respectively. These modules are wired together to help designers engineer bacteria to build macro-scale structures with seamlessly integrated biomaterials, thereby bridge the molecular and architectural scales. In this way, a bacterial lawn can be programmed to produce different objects with complementary biomaterial compositions, such as a biomineralized superstructure and an elastic tissue filling in-between. In summary, this paper focuses on how scientists’ increasing ability to harness the innate computational capacity of living cells can help designers create self-constructing structures for architectural biofabrication. Through the discussions in this paper, we aim to initiate a shift in today’s biodesign practices toward a greater appreciation and adoption of bottom-up governance of living structures. We are confident that such a paradigm shift will allow for more efficient and sustainable biofabrication systems in the 4th industrial revolution and beyond.
keywords	Synthetic biology, architecture, optogenetics, design computation, genetic circuits, biofabrication, synthetic morphogenesis, computational fabrication, architectural fabrication, biodesign
series	journal
email
last changed	2024/04/17 14:29

_id	caadria2021_013
id	caadria2021_013
authors	Haeusler, M. Hank, Butler, Andrew, Gardner, Nicole, Sepasgozar, Samad and Pan, Shan
year	2021
title	Wasted ... Again - Or how to understand waste as a data problem and aiming to address the reduction of waste as a computational challenge
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. 371-380
doi	https://doi.org/10.52842/conf.caadria.2021.1.371
summary	The global construction industry is the single largest consumer of materials on the planet. Of that material consumption anywhere between 10-20% will end up in landfills as waste. Currently, there are three approaches to tackle this problem - reduce, reuse, and recycle. Concentrating purely on the challenge of reducing waste this research aims to address the problem of waste in the construction industry by addressing it in the preliminary design stage. It does so by asking the research question if computational design offers opportunities towards lean construction or to achieve Zero Waste by understanding waste as a data management challenge. For our research materials are specified in databases outlining geometrical and quantitative information either in material supplier databases (homepage) or in architecture and construction databases via Revit or Grasshopper. Consequently, one can collect via web scraping, investigate via databases, inspect and compare via Grasshopper and Python these databases to understand if one can transform data into information towards material use and consequently into knowledge on waste production and reduction. This investigation, its proposed hypothesis, methodology, implications, significance, and evaluation are presented in the paper.
keywords	Construction industry; waste reduction; databases; web scraping; computational design
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	ascaad2021_082
id	ascaad2021_082
authors	Ishac, Mina
year	2021
title	Parametric Simulation and Sensitivity of Light Shelf on Daylighting and Shading: Light Shelf Performance Map
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. 84-98
summary	The design of the optimal light shelf to maximize daylighting performance in a space is governed by many factors which change simultaneously. The dynamic characteristics inherited in such factors range from: temporal changes of daylight over the course of the year and the change of daylighting conditions from one country to another to variable factors that are informed by the design process and functional programmatic use. The lack of a comprehensive study that links all these factors together to find out the near-optimal light shelf adapted to different conditions and locations, and moreover devise performance map that could be used to predict the performance. Given the constrains of light shelf’s dimensions endorsed by previous literature, this paper develops a map to predict daylighting in unexamined geographical locations, based on annual daylight profile in 3 cities (Stockholm, Cairo, and Nairobi) using quadratic regression method. The aim is to find the approximate dimensions for the needed near-optimal light shelf that optimizes daylighting and shading in any location. The paper uses a parametric approach to simulate daylighting using Radiance, in which 11 models of light shelves will be varied in a hypothetical typical room. The studied variables are: geographical latitude and their respective climatic conditions, and window-to-wall ratio (20-60%). The examined aspects: seasonal hourly illuminance, annual daylighting using UDI and DAV, average annual uniformity, and control of direct sunlight. The data are analyzed in MATLAB to present plot radar diagrams which can provide insights into the performance sensitivities of the models, with respect to daylighting. The performance curves are a preliminary design tool, that is based on approximation of dynamic daylighting.
series	ASCAAD
email
last changed	2021/08/09 13:13

_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
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
doi	https://doi.org/10.52842/conf.ecaade.2022.1.371
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
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
doi	https://doi.org/10.52842/conf.caadria.2023.2.231
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	caadria2021_333
id	caadria2021_333
authors	Ma, Chun Yu, Chan, Yan Yu Jennifer and Crolla, Kristof
year	2021
title	Expanding Bending-Active Bamboo Gridshell Structures' Design Solution Space Through Hybrid Assembly Systems
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. 331-340
doi	https://doi.org/10.52842/conf.caadria.2021.1.331
summary	This paper discusses the development and testing of a novel design method for the low-tech construction of bending-active bamboo gridshell structures. It expands this typologys current design solution space by combining and building up on two common production methods for light-weight shell structures: 1) the lay-up method, typically used in bamboo architecture in which members are added one at a time, and 2) the flatbed method, in which a prefabricated equidistant flat grid without shear rigidity is propped up and deformed into its final doubly curved shape. The novel methodology expands the systems design solution space by incorporating singularities within the grid topology and by layering multiple separate grids. This allows for spatially radically different building geometries without loss of implementation workflow efficiency. A demonstrator design project, tested through a large-scale prototype model, is described to illustrate the possible spatially engaging architectural design opportunities presented by the novel approach.
keywords	Bending-active structures; Bamboo architecture; Shell structures; Low-tech fabrication; Form finding
series	CAADRIA
email
last changed	2022/06/07 07:59

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