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

_id	ecaadesigradi2019_110
id	ecaadesigradi2019_110
authors	Bernal, Marcelo, Marshall, Tyrone, Okhoya, Victor, Chen, Cheney and Haymaker, John
year	2019
title	Parametric Analysis versus Intuition - Assessment of the effectiveness of design expertise
doi	https://doi.org/10.52842/conf.ecaade.2019.2.103
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 103-110
summary	This paper explores through professional case studies how design solutions produced by expert teams compares to those developed through systematic parametric analysis. While the expert intuition of either single designer or teams helps to rapidly identify relevant aspects of the design problem and produce viable solutions, it has limitation to address multi-criteria design problems with conflicting objectives and searching for design alternatives. On the other hand, parametric analysis techniques in combination with data analysis methods helps to construct and analyze large design spaces of potential design solutions. For the purpose of this study, the specifications of geometric features and material properties of the building envelopes proposed by the expert design teams define the base line to measure the extent of the performance improvements of two typically conflicting objectives: Daylight quality and energy consumption. The results show consistently significant performance improvement after systematic optimization.
keywords	Performance Analysis; Parametric Analysis; Design Space; Design Expertise; Optimization
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

_id	ecaade2023_138
id	ecaade2023_138
authors	Crolla, Kristof and Wong, Nichol
year	2023
title	Catenary Wooden Roof Structures: Precedent knowledge for future algorithmic design and construction optimisation
doi	https://doi.org/10.52842/conf.ecaade.2023.1.611
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 1, Graz, 20-22 September 2023, pp. 611–620
summary	The timber industry is expanding, including construction wood product applications such as glue-laminated wood products (R. Sikkema et al., 2023). To boost further utilisation of engineered wood products in architecture, further development and optimisation of related tectonic systems is required. Integration of digital design technologies in this endeavour presents opportunities for a more performative and spatially diverse architecture production, even in construction contexts typified by limited means and/or resources. This paper reports on historic precedent case study research that informs an ongoing larger study focussing on novel algorithmic methods for the design and production of lightweight, large-span, catenary glulam roof structures. Given their structural operation in full tension, catenary-based roof structures substantially reduce material needs when compared with those relying on straight beams (Wong and Crolla, 2019). Yet, the manufacture of their non-standard geometries typically requires costly bespoke hardware setups, having resulted in recent projects trending away from the more spatially engaging geometric experiments of the second half of the 20th century. The study hypothesis that the evolutionary design optimisation of this tectonic system has the potential to re-open and expand its practically available design solution space. This paper covers the review of a range of built projects employing catenary glulam roof system, starting from seminal historic precedents like the Festival Hall for the Swiss National Exhibition EXPO 1964 (A. Lozeron, Swiss, 1964) and the Wilkhahn Pavilions (Frei Otto, Germany, 1987), to contemporary examples, including the Grandview Heights Aquatic Centre (HCMA Architecture + Design, Canada, 2016). It analysis their structural concept, geometric and spatial complexity, fabrication and assembly protocols, applied construction detailing solutions, and more, with as aim to identify methods, tools, techniques, and construction details that can be taken forward in future research aimed at minimising construction complexity. Findings from this precedent study form the basis for the evolutionary-algorithmic design and construction method development that is part of the larger study. By expanding the tectonic system’s practically applicable architecture design solution space and facilitating architects’ access to a low-tech producible, spatially versatile, lightweight, eco-friendly, wooden roof structure typology, this study contributes to environmentally sustainable building.
keywords	Precedent Studies, Light-weight architecture, Timber shell, Catenary, Algorithmic Optimisation, Glue-laminated timber
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaadesigradi2019_555
id	ecaadesigradi2019_555
authors	Bomfim, Kyane and Tavares, Felipe
year	2019
title	Building facade optimization for maximizing the incident solar radiation
doi	https://doi.org/10.52842/conf.ecaade.2019.2.171
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 171-180
summary	The technological breakthrough on photovoltaic facades and the high potential for installing photovoltaic (PV) systems in the city of Salvador are the motivation for this article. This case study explores the feasibility of implementing solar energy technology on a building facade, proposing a design method for optimizing insolation performance by the form-finding process in a parameterized shape. The goal was to generate a parametric design workflow, in which it could be found some facade shapes, generating triangle and quadrilateral supporting grids, leading to better results in the total amount of radiation in comparison to the basic flat facade. In these supporting grids were evaluated also the fitting in the distribution of quadrilateral commercial PV cells, measuring its geometric compatibility. By the results, it could be verified the gains and losses in PV potential in several instances obtained by the form-finding process, as the potentials to consider this in the design of every building.
keywords	Radiation skydome; Shape parameterization; Form-finding; Genetic Algorithm; PV facade
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	cf2019_002
id	cf2019_002
authors	De Luca, Francesco
year	2019
title	Environmental Performance-Driven Urban Design Parametric Design Method for the Integration of Daylight and Urban Comfort Analysis in Cold Climates
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 21
summary	Shape of built environment and image of cities are significantly influenced by environmental factors such as access to natural light, air temperature and wind. Adequate quantity of daylight in building interiors is important for occupant wellbeing and energy saving. In Estonia minimum quantity of daylight is required by building standards. Wind speed increased by urban environment at northern latitudes can significantly reduce pedestrian perceived temperature during winter inducing strong cold stress. This paper presents a method for the integration of parametric modeling and environmental simulations to analyze interiors and exteriors comfort of tower building cluster variations in different urban areas in Tallinn. Optimal pattern characteristics such as buildings distance and alignment favoring improvement of interiors daylight and decrease of pedestrian cold stress are presented and discussed.
keywords	Daylight, Urban Comfort, Environmental Analysis, PerformanceDriven Urban Design, Parametric Design
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	caadria2019_651
id	caadria2019_651
authors	Imani, Marzieh, Sayah, Iman, Vale, Brenda and Donn, Michael
year	2019
title	An Innovative, Hierarchical Energy Performance Data Visualization for Facilitating Recognition of Thermal Issues
doi	https://doi.org/10.52842/conf.caadria.2019.1.815
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 815-824
summary	This paper discusses the characteristics of and relationships between the most common building energy performance tools for simulating and visualising the thermal behaviour of buildings at the early stage of building design. The necessity for the latter and the importance of using relevant tools in practice are discussed. By highlighting existing gaps in these tools, a complementary component has been suggested that could assist building scientists in evaluating energy simulation results. The proposed energy performance data visualisation (EPDV) component is an under-development plugin (SlowLoris) that is intended to be added to the existing Grasshopper add-ons. This EPDV component provides users with simultaneous but different visualisation styles of monthly energy reports for individual floors and thermal zones. As an example, this paper uses a 2-storey building model to show the applicability of the plugin to analysis of energy simulation results.
keywords	Building energy simulation; Data visualization; Energy performance analysis
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2019_245
id	caadria2019_245
authors	Jiaxin, Zhang, Yunqin, Li, Haiqing, Li and Xueqiang, Wang
year	2019
title	Sensitivity Analysis of Thermal Performance of Granary Building based on Machine Learning
doi	https://doi.org/10.52842/conf.caadria.2019.1.665
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 665-674
summary	The granary building form has significant effects on thermal performance, especially in hot climate regions. This research is focused on exploring the influences of parameters relevant to building form design on thermal performance for granary buildings in Jiangsu and Anhui, China(both provinces belong to the hot summer region). The usual method is to use simulation software to perform a sensitivity analysis of thermal performance to assess the impacts of granary design parameters and identify the essential characteristics. However, many factors are affecting the thermal performance of granary buildings. The use of traditional energy simulation software requires calculation and analysis of a large number of models. In this study, we build a machine learning model to predict the thermal performance of granary buildings and identify the most influential design parameters of thermal performance in granary building. The input parameters include outdoor temperature, building height, aspect ratio, orientation, heat transmission coefficient of the wall and roof, and overall scale. The results show that the overall building scale is the most influential variable to the annual electricity consumption for cooling, whereas the heat transmission coefficient of the roof is the most influential to the change of the indoor temperature.
keywords	Sensitivity analysis; Artificial Neural Networks (ANNs); Thermal performance; Granary building
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2019_345
id	caadria2019_345
authors	Marschall, Max and Burry, Jane
year	2019
title	Can the Use of Stochastic Models of Occupants' Environmental Control Behavior Influence Architectural Design Outcomes? - How field data can influence design outcomes
doi	https://doi.org/10.52842/conf.caadria.2019.1.715
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 715-724
summary	Thermal comfort research has shown that natural ventilation can reduce energy consumption while increasing comfort. However, giving occupants control over their environment introduces uncertainty into building performance which is challenging to emulate using current simulation techniques. Traditionally, window operation is modelled deterministically, for instance by assuming windows to be opened at a predefined temperature. Studies have shown this to be inaccurate, often causing large discrepancies between simulated and actual performance; instead, probabilistic models have emerged based on field study data. The literature on this topic is currently limited to building science and lacks an analysis of how these insights may affect architecture. In a design study, we used evolutionary computation to determine comfort-optimized housing designs for various climates, each time comparing the results of both window operation models. The resulting designs varied considerably; most notably, using the stochastic approach resulted in more shading elements, especially in warmer climates.
keywords	window operation model; stochastic; natural ventilation; thermal comfort; occupant behavior
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2019_318
id	caadria2019_318
authors	Martinho, Helena, BelÃ©m, Catarina, LeitÃ£o, AntÃ³nio, Loonen, Roel and Gomes, M. GlÃ³ria
year	2019
title	Algorithmic Design and Performance Analysis of Adaptive FaÃ§ades
doi	https://doi.org/10.52842/conf.caadria.2019.1.685
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 685-694
summary	Building performance simulation tools have the potential for aiding the decision-making process in early design stages of an architectural project. As traditional simulation tools are based on a static design and adaptive faÃ§ades encompass an envisioned movement of construction elements, there is a lack of supporting tools and workflows that can correctly evaluate the performance of such building envelopes at an early stage. The presented ongoing research focuses on developing efficient parametric performance-based approaches for assessing the energy consumption in buildings with adaptive faÃ§ades, combining generative architectural design and performance analysis in a seamless workflow. To this end, we combine a new algorithmic design research tool with the well-established whole-building simulation engine EnergyPlus. The purpose of linking both tools lies in the possibility of generating and simulating models with adaptive faÃ§ade mechanisms through a single script, evaluating and using the simulation results to adjust the model's parameters and develop optimized control strategies.
keywords	Building performance simulation; Adaptive faÃ§ades; Algorithmic design; Energy analysis
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2019_093
id	caadria2019_093
authors	Shahsavari, Fatemeh, Koosha, Rasool and Yan, Wei
year	2019
title	Uncertainty and Sensitivity Analysis Using Building Information Modeling - (An Energy Analysis Test Case)
doi	https://doi.org/10.52842/conf.caadria.2019.1.615
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 615-624
summary	Building design decision-making is associated with uncertainties due to variations over time and unpredictable parameters. There is a growing demand for probabilistic methods, i.e., uncertainty and sensitivity analyses to handle the uncertainties in building design. This research intends to encourage the application of Building Information Modeling (BIM) for addressing design uncertainties affecting building energy performance. The mapping between BIM (Revit and Dynamo) and a customized model-based energy analysis tool in Excel is investigated to translate architectural models to energy models and conduct the probabilistic analyses. The application of this method is demonstrated with a test case of a hypothetical residential unit in College Station, Texas, USA. Input variables in this example are the thermal properties of building elements, and the two simulation outputs are annual heating and cooling energy consumption, and deviation from comfort temperature. The results indicate the probability distribution of simulation outputs and the importance factor of each design input. This method deals with uncertainties and provides a more reliable and robust basis for design decision-making.
keywords	building design decision-making ; Building Information Modeling (BIM); Parametric design; Uncertainty and sensitivity analysis; Building performance analysis
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia20_382
id	acadia20_382
authors	Hosmer, Tyson; Tigas, Panagiotis; Reeves, David; He, Ziming
year	2020
title	Spatial Assembly with Self-Play Reinforcement Learning
doi	https://doi.org/10.52842/conf.acadia.2020.1.382
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. 382-393.
summary	We present a framework to generate intelligent spatial assemblies from sets of digitally encoded spatial parts designed by the architect with embedded principles of prefabrication, assembly awareness, and reconfigurability. The methodology includes a bespoke constraint-solving algorithm for autonomously assembling 3D geometries into larger spatial compositions for the built environment. A series of graph-based analysis methods are applied to each assembly to extract performance metrics related to architectural space-making goals, including structural stability, material density, spatial segmentation, connectivity, and spatial distribution. Together with the constraint-based assembly algorithm and analysis methods, we have integrated a novel application of deep reinforcement (RL) learning for training the models to improve at matching the multiperformance goals established by the user through self-play. RL is applied to improve the selection and sequencing of parts while considering local and global objectives. The user’s design intent is embedded through the design of partial units of 3D space with embedded fabrication principles and their relational constraints over how they connect to each other and the quantifiable goals to drive the distribution of effective features. The methodology has been developed over three years through three case study projects called ArchiGo (2017–2018), NoMAS (2018–2019), and IRSILA (2019-2020). Each demonstrates the potential for buildings with reconfigurable and adaptive life cycles.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaadesigradi2019_249
id	ecaadesigradi2019_249
authors	Chiarella, Mauro, Gronda, Luciana and Veizaga, Martín
year	2019
title	RILAB - architectural envelopes - From spatial representation (generative algorithm) to geometric physical optimization (scientific modeling)
doi	https://doi.org/10.52842/conf.ecaade.2019.3.017
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 17-24
summary	Augmented graphical thinking operates by integrating algorithmic, heuristic, and manufacturing processes. The Representation and Ideation Laboratory (RILAB-2018) exercise begins with the application of a parametric definition developed by the team of teachers, allowing for the construction of structural systems by the means of the combination of segmental shells and bending-active. The main objetive is the construction of a scientific model of simulation for bending-active laminar structures has brought into reality trustworthy previews for architectural envelopes through the interaction of parametrized relational variables. This way we put designers in a strategic role for the building of the pre-analysis models, allowing more preciseness at the time of picking and defining materials, shapes, spaces and technologies and thus minimizing the decisions based solely in the definition of structural typological categories, local tradition or direct experience. The results verify that the strategic integration of models of geometric physical optimization and spatial representation greatly expand the capabilities in the construction of the complex system that operates in the act of projecting architecture.
keywords	architectural envelopes; augmented graphic thinking; geometric optimization; bending-active
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	cdrf2023_526
id	cdrf2023_526
authors	Eric Peterson, Bhavleen Kaur
year	2023
title	Printing Compound-Curved Sandwich Structures with Robotic Multi-Bias Additive Manufacturing
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_44
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary	A research team at Florida International University Robotics and Digital Fabrication Lab has developed a novel method for 3d-printing curved open grid core sandwich structures using a thermoplastic extruder mounted on a robotic arm. This print-on-print additive manufacturing (AM) method relies on the 3d modeling software Rhinoceros and its parametric software plugin Grasshopper with Kuka-Parametric Robotic Control (Kuka-PRC) to convert NURBS surfaces into multi-bias additive manufacturing (MBAM) toolpaths. While several high-profile projects including the University of Stuttgart ICD/ITKE Research Pavilions 2014–15 and 2016–17, ETH-Digital Building Technologies project Levis Ergon Chair 2018, and 3D printed chair using Robotic Hybrid Manufacturing at Institute of Advanced Architecture of Catalonia (IAAC) 2019, have previously demonstrated the feasibility of 3d printing with either MBAM or sandwich structures, this method for printing Compound-Curved Sandwich Structures with Robotic MBAM combines these methods offering the possibility to significantly reduce the weight of spanning or cantilevered surfaces by incorporating the structural logic of open grid-core sandwiches with MBAM toolpath printing. Often built with fiber reinforced plastics (FRP), sandwich structures are a common solution for thin wall construction of compound curved surfaces that require a high strength-to-weight ratio with applications including aerospace, wind energy, marine, automotive, transportation infrastructure, architecture, furniture, and sports equipment manufacturing. Typical practices for producing sandwich structures are labor intensive, involving a multi-stage process including (1) the design and fabrication of a mould, (2) the application of a surface substrate such as FRP, (3) the manual application of a light-weight grid-core material, and (4) application of a second surface substrate to complete the sandwich. There are several shortcomings to this moulded manufacturing method that affect both the formal outcome and the manufacturing process: moulds are often costly and labor intensive to build, formal geometric freedom is limited by the minimum draft angles required for successful removal from the mould, and customization and refinement of product lines can be limited by the need for moulds. While the most common material for this construction method is FRP, our proof-of-concept experiments relied on low-cost thermoplastic using a specially configured pellet extruder. While the method proved feasible for small representative examples there remain significant challenges to the successful deployment of this manufacturing method at larger scales that can only be addressed with additional research. The digital workflow includes the following steps: (1) Create a 3D digital model of the base surface in Rhino, (2) Generate toolpaths for laminar printing in Grasshopper by converting surfaces into lists of oriented points, (3) Generate the structural grid-core using the same process, (4) Orient the robot to align in the direction of the substructure geometric planes, (5) Print the grid core using MBAM toolpaths, (6) Repeat step 1 and 2 for printing the outer surface with appropriate adjustments to the extruder orientation. During the design and printing process, we encountered several challenges including selecting geometry suitable for testing, extruder orientation, calibration of the hot end and extrusion/movement speeds, and deviation between the computer model and the physical object on the build platen. Physical models varied from their digital counterparts by several millimeters due to material deformation in the extrusion and cooling process. Real-time deviation verification studies will likely improve the workflow in future studies.
series	cdrf
email
last changed	2024/05/29 14:04

_id	ecaadesigradi2019_510
id	ecaadesigradi2019_510
authors	Giannopoulou, Effima, Baquero, Pablo, Warang, Angad, Orciuoli, Affonso and T. Estévez, Alberto
year	2019
title	Stripe Segmentation for Branching Shell Structures - A Data Set Development as a Learning Process for Fabrication Efficiency and Structural Performance
doi	https://doi.org/10.52842/conf.ecaade.2019.3.063
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 63-70
summary	This article explains the evolution towards the subject of digital fabrication of thin shell structures, searching for the computational design techniques which allow to implement biological pattern mechanisms for efficient fabrication procedures. The method produces data sets in order to analyse and evaluate parallel alternatives of branching topologies, segmentation patterns, material usage, weight and deflection values as a user learning process. The importance here is given to the selection of the appropriate attributes, referring to which specific geometric characteristics of the parametric model are affecting each other and with what impact. The outcomes are utilized to train an Artificial Neural Network to predict new building information based on new combinations of desired parameters so that the user can decide and adjust the design based on the new information.
keywords	Digital Fabrication; Shell Structures; Segmentation; Machine Learning; Branching Topologies; Bio-inspired
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

_id	ecaadesigradi2019_176
id	ecaadesigradi2019_176
authors	Giantini, Guilherme, Negris de Souza, Larissa, Turczyn, Daniel and Celani, Gabriela
year	2019
title	Environmental Ceramics - Merging the digital and the physical in the design of a performance -based facade system
doi	https://doi.org/10.52842/conf.ecaade.2019.2.749
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 749-758
summary	Environmental comfort and space occupancy are essential considerations in architectural design process. Façade systems deeply impact both aspects but are usually standardized. However, performance-based facade systems tackle these issues through computational design to devise non-homogeneous elements. This work proposes a ceramic facade system designed according to a performance-based process grounded on environmental analysis and parametric design to allow adaptation and geometric variation according to specific building demands on environmental comfort and functionality. In this process, the Design Science Research method guided the exploration of both design and evaluation, bridging the gap between theory and practice. Positive facade environmental performance were found from digital and physical models assessment in terms of radiation, illuminance, dampness (with ventilation) and temperature. Computational processes minimized radiation inside the building while maximized illuminance. Their association influenced on operative temperature, which dropped according to local dampness and material absorption. Accordingly, this design process associates not only environmental comfort and functionality concepts but also adaptability, flexibility, mass customization, personal fabrication, additive manufacturing concepts, being an example architectural design changes in the 4th Industrial Revolution.
keywords	sustainable design; facade system; computational design; environmental analysis; evolutionary algorithm
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

_id	caadria2019_398
id	caadria2019_398
authors	Hannouch, Adam
year	2019
title	Acoustic Simulation and Conditioning in Vaulted Structures - Faceted Stereotomic Strategies for Multi-listener Spaces
doi	https://doi.org/10.52842/conf.caadria.2019.1.403
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 403-412
summary	This paper examines faceted tessellations in an acoustic vault ceiling typology for the enhancement of human speech comfort in multi-listener environments. Geometric modelling explores simulated results for various tessellation arrangements within the overall segmentation of a global ceiling geometry. Where pattern-based design for acoustic surfaces often overlooks the optimisation of vault typologies, the tests demonstrated in this research seek a trade-off between acoustic properties and faceted detailing. This involves the performance-based design of micro joint topologies and ruled-surface geometries, and a macro-analysis of the vaulted surface for acoustic studies embedded into this workflow, using Pachyderm software.
keywords	Architectural Acoustics; Mutli-listener Environments; Simulation; Faceted Patterns; Vaulted Design
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ecaade2024_4
id	ecaade2024_4
authors	Irodotou, Louiza; Gkatzogiannis, Stefanos; Phocas, Marios C.; Tryfonos, George; Christoforou, Eftychios G.
year	2024
title	Application of a Vertical Effective Crank–Slider Approach in Reconfigurable Buildings through Computer-Aided Algorithmic Modelling
doi	https://doi.org/10.52842/conf.ecaade.2024.1.421
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. 421–430
summary	Elementary robotics mechanisms based on the effective crank–slider and four–bar kinematics methods have been applied in the past to develop architectural concepts of reconfigurable structures of planar rigid-bar linkages (Phocas et al., 2020; Phocas et al., 2019). The applications referred to planar structural systems interconnected in parallel to provide reconfigurable buildings with rectangular plan section. In enabling structural reconfigurability attributes within the spatial circular section buildings domain, a vertical setup of the basic crank–slider mechanism is proposed in the current paper. The kinematics mechanism is integrated on a column placed at the middle of an axisymmetric circular shaped spatial linkage structure. The definition of target case shapes of the structure is based on a series of numerical geometric analyses that consider certain architectural and construction criteria (i.e., number of structural members, length, system height, span, erectability etc.), as well as structural objectives (i.e., structural behavior improvement against predominant environmental actions) aiming to meet diverse operational requirements and lightweight construction. Computer-aided algorithmic modelling is used to analyze the system's kinematics, in order to provide a solid foundation and enable rapid adaptation for mechanisms that exhibit controlled reconfigurations. The analysis demonstrates the implementation of digital parametric design tools for the investigation of the kinematics of the system at a preliminary design stage, in avoiding thus time-demanding numerical analysis processes. The design process may further provide enhanced interdisciplinary performance-based design outcomes.
keywords	Reconfigurable Structures, Spatial Linkage Structures, Kinematics, Parametric Associative Design
series	eCAADe
email
last changed	2024/11/17 22:05

_id	acadia19_60
id	acadia19_60
authors	Yousif, Shermeen; Yan, Wei
year	2019
title	Application of an Automatic Shape Clustering Method
doi	https://doi.org/10.52842/conf.acadia.2019.060
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 60-69
summary	Despite their prevalence and extensive applications, generative and design optimization systems lack effective organizational methods of the excessive number of design options they produce, which is problematic for designers’ interaction. Ideally, a diverse and organized set of designs can mediate successful designers’ evaluation and exploration of the design space. Cluster analysis, a big-data management strategy, offers a solution. Yet, there is a need for investigating appropriate methods for applying cluster-analysis to a dataset of geometric shapes. Therefore, we have recently developed and published a new approach, the Shape Clustering using K-Medoids (SC-KM) method as an articulation mechanism in generative systems. The method involves shape description, shape difference measure calculation, and implementation of the K-Medoids clustering algorithm. The focus of this work is on incorporating the method into a generative system with parametric building shape generation and design optimization. The method organizes a dataset of shapes into clusters where shapes within the cluster share similarities yet differ from other clusters, and each cluster is signified by one representative shape. The SC-KM method contributes to an organized design presentation and facilitates designers’ examination of their designs’ geometric qualities.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:57

_id	caadria2019_670
id	caadria2019_670
authors	Zhang, Xiao, Gao, Weizhe, Xia, Ye, Wang, Xiang, Luo, Youyuan, Su, Junbang, Jin, Jinxi and Yuan, Philip F.
year	2019
title	Design and Analysis of Bending-Active Formwork for Shell Structures based on 3D-Printing Technology
doi	https://doi.org/10.52842/conf.caadria.2019.1.073
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 73-82
summary	This paper presents the design and construction of a 3D-printed thin bending-active formwork for shell. In order to use less scaffolding and make a dome with flexible material,3-D print is applied to the formwork. First step is form-finding . Two single -curved surfaces are used to fit the form found by Kanagaroo and then unroll them .Principle stress lines are also printed on the unrolled formwork to enhance it. However, the formwork with stress lines is hard to bend. So, bending-active simulation made by ABAQUS is also applied to find the best mesh pattern to bend. Bend the basic pattern first on the framework and then print Principle stress lines onto it. Karamba is used to simulate the deformation of the shell under gravity load. It is proved that grid made up of stress lines have the best performance The full scale prototype is made up of two pieces shell bent and tied together can stand steadily. Spring-back test shows that the second layer printed on the shell can help to provide deformation.
keywords	form-work; form-finding; 3-D printing; geometric analysis; principle stress lines
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ecaadesigradi2019_296
id	ecaadesigradi2019_296
authors	Dounas, Theodoros, Lombardi, Davide and Jabi, Wassim
year	2019
title	Towards Blockchains for architectural design - Consensus mechanisms for collaboration in BIM
doi	https://doi.org/10.52842/conf.ecaade.2019.1.267
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 267-274
summary	We present a Blockchain collaboration mechanism on optimisation problems between distributed participants who work with building information modelling tools. The blockchain mechanism is capable of executing smart contracts, acting as a reward mechanism of independent designers attempting to collaborate or compete on optimising a design performance problem. Earlier work has described the potential integration through different levels of Computer Aided Design and Blockchain. We present an expanded version of that integration and we showcase how a team can collaboratively and competitively work, using BIM tools, through the blockchain. The original contribution of the paper is the use of the design optimisation performance as a consensus mechanism for block writing in blockchains. To accomplish that we introduce mechanisms for BIM to Blockchain Integration but also describe a special category of blockchains for architectural design and the built environment. The paper concludes with an analysis of the relationship between trust and values as encapsulated in the blockchain and how these could affect the design collaboration.
keywords	Blockchain; BIM; agent; collaboration; competition
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	cf2019_050
id	cf2019_050
authors	Erdine, Elif ; Giulio Gianni, Angel Fernando Lara Moreira, Alvaro Lopez Rodriguez, Yutao Song and Alican Sungur
year	2019
title	Robot-Aided Fabrication of Light-Weight Structures with Sheet Metal Expansion
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 433
summary	This paper presents a novel approach for the creation of metal lightweight self-supporting structures through the employment of metal kerfing and robotic sheet panel expansion. Research objectives focus on the synthesis of material behavior on a local scale and the structural performance on a global scale via advanced computational and robotic methods. There are inherent structural properties to expanded metal sheets which can be employed to achieve an integrated building system without the need for a secondary supporting structure. A computational workflow that integrates Finite Element Analysis, geometrical optimization, and robotic toolpath planning has been developed. This workflow is informed by the parameters of material experimentation on sheet metal kerfing and robotic sheet metal expansion on the local panel scale. The proposed methodology is applied on a range of panels with a custom-built robotic fabrication setup for the design, fabrication, and assembly of a one-to-one scale working prototype.
keywords	Robotic fabrication, Robotic sheet metal expansion, Light-weight structure, Metal kerfing, Metal expansion
series	CAAD Futures
email
last changed	2019/07/29 14:18

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