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	ecaade2018_138
id	ecaade2018_138
authors	Abdulmawla, Abdulmalik, Schneider, Sven, Bielik, Martin and Koenig, Reinhard
year	2018
title	Integrated Data Analysis for Parametric Design Environment - mineR: a Grasshopper plugin based on R
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 319-326
doi	https://doi.org/10.52842/conf.ecaade.2018.2.319
summary	In this paper we introduce mineR- a tool that integrates statistical data analysis inside the parametric design environment Grasshopper. We first discuss how the integration of statistical data analysis would improve the parametric modelling workflow. Then we present the statistical programming language R. Thereafter, we show how mineR is built to facilitate the use of R in the context of parametric modelling. Using two example cases, we demonstrate the potential of implementing mineR in the context of urban design and analysis. Finally, we discuss the results and possible further developments.
keywords	Statistical Data Analysis; Parametric Design
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2018_w04
id	ecaade2018_w04
authors	Koenig, Reinhard, Beilik, Martin, Knecht, Katja, Abdulmawla, Abdulmalik and Fuchkina, Ekaterina
year	2018
title	New Methods for Urban Analysis and Simulation with Grasshopper - Using DeCodingSpaces-Toolbox
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 65-68
doi	https://doi.org/10.52842/conf.ecaade.2018.1.065
summary	This workshop presents a collection of methods that supports the creation of urban masterplans. These methods are also used for evaluating the performance of the generated plans using advanced performance analysis tools as well as design exploration tools. During a one-day-workshop, the participants will practice using these tools in three parts; Street Network Generation, Synthesis of urban morphology, and Design-Space-Exploration. All the tools are integrated in one library called DeCodingSpaces-Toolbox for the parametric modelling environment Grasshopper.
keywords	Urban Generation and Analysis; Urban Simulation; Design Space Exploration
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ecaade2018_165
id	ecaade2018_165
authors	Fisher-Gewirtzman, Dafna and Bruchim, Elad
year	2018
title	Considering Variant Movement Velocities on the 3D Dynamic Visibility Analysis (DVA) - Simulating the perception of urban users: pedestrians, cyclists and car drivers.
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 569-576
doi	https://doi.org/10.52842/conf.ecaade.2018.2.569
summary	The objective of this research project is to simulate and evaluate the effect of movement velocity and cognitive abilities on the visual perception of three groups of urban users: pedestrians, cyclists and car drivers.The simulation and analysis is based on the 3D Dynamic Visual Analysis (DVA) (Fisher-Gewirtzman, 2017). This visibility analysis model was developed in the Rhinoceros and Grasshopper software environments and is based on the conceptual model presented in Fisher-Gewirtzman (2016): a 3D Line of Sight (LOS) visibility analysis, taking into account the integrated effect of the 3D geometry of the environment and the variant elements of the view (such as the sky, trees and vegetation, buildings and building types, roads, water etc.). In this paper, the current advancement of the existing model considers the visual perception of human users employing three types of movement in the urban environment--pedestrians, cyclists and drivers--is explored.We expect this research project to exemplify the contribution of such a quantification and evaluation model to evaluating existing urban structures, and for supporting future human perception-based urban design processes.
keywords	visibility analysis and simulation; predicting perception of space; movement in the urban environment; pedestrians; cyclists; car drivers
series	eCAADe
email
last changed	2022/06/07 07:51

_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
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.
doi	https://doi.org/10.52842/conf.acadia.2020.1.382
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	caadria2018_198
id	caadria2018_198
authors	Reinhardt, Dagmar, Candido, Christhina, Cabrera, Densil, Wozniak-O'Connor, Dylan, Watt, Rodney, Bickerton, Chris, Titchkosky, Ninotschka and Houda, Maryam
year	2018
title	Onsite Robotic Fabrication for Flexible Workspaces - Towards Design and Robotic Fabrication of an Integrated Responsive Ceiling System for A Workspace Environment
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 59-68
doi	https://doi.org/10.52842/conf.caadria.2018.1.059
summary	Open, flexible workspaces were introduced decades ago, but architectural design approaches to ceiling systems have not changed substantially. This paper discusses the development of strategies and prototypes for a lightweight, integrated ceiling structure that is robotically woven. Through geometrically complex, fibre-reinforced building elements that are produced onsite, a new distribution system for data and light can be provided and support individual and multi-group collaborations in an contemporary open-plan office for maximum flexibility. The paper introduces applied design research with case studies that test robotic weaving on an architectural ceiling. The second part contextualises the presented work by linking it to workspace scenarios and an on-site robotic process with a resulting data distribution that is designed to produce degrees of freedom for high flexibility in use, allowing occupants to organise the workspace layout autonomously so that workflow constellations in different teams can be adequately expressed through space. The paper concludes with a discussion of a framework for robotic methods developed for the carbon-fibre overhead weaving processes, followed by conclusions and outlook towards future potentials.
keywords	open collaborative workspace; robotic onsite weaving; carbon fiber; integrated ceiling systems
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	caadria2018_054
id	caadria2018_054
authors	Shen, Xiaofei
year	2018
title	Environmental Parametric Multi-Objective Optimization for High Performance Facade Design
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 103-112
doi	https://doi.org/10.52842/conf.caadria.2018.2.103
summary	This paper demonstrates the applicability of a data-integrated and user-friendly Multi-Objective Optimization (MOO) method within the Grasshopper (GH) parametric design interface which supports early stage design decision making for High Performance Building (HPB) façade. With multiple environmental objectives optimized and multiple geometric parameters adjusted in the same intuitive design space, designers with limited knowledge on scripting could easily set up the nodes simultaneously when the design is carried out to achieve the efficiency in HPB design optimization. An experiment utilizing the method, with DIVA as the environmental simulator and Octopus as the MOO solver, is demonstrated for rational daylight distribution, balanced solar heat gain and reduced energy use intensity. The findings show both potentials and limitations of the proposed method.
keywords	Multi-Objective Optimization; Environmental Parametrics; Generative Design; High Performance Facade
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2018_107
id	caadria2018_107
authors	Zhu, Yuehan, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2018
title	SLAM-Based MR with Animated CFD for Building Design Simulation
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 391-400
doi	https://doi.org/10.52842/conf.caadria.2018.1.391
summary	In advanced society, the existing building stock has huge social, economic, and environmental impact. There is a high demand for stock renovation, which gives existing buildings new lives, rather than building new ones. During the renovation process, it is necessary to simultaneously achieve architectural, facilities, structural, and environmental design in order to accomplish a healthy, comfortable, and energy-saving indoor environment, prevent delays in problem solving, and achieve a timely feedback process. This study tackled the development of an integrated system for stock renovation by considering computational fluid dynamics (CFD) and Mixed Reality (MR) in order to allow the simultaneous design of a building plan and thermal environment. The CFD analysis enables the simulation of the indoor thermal environment, including the effects of daylight and ventilation. The MR system visualizes the simulation results intuitively and makes renovation projects perform in a very efficient manner with regard to various stakeholders. In addition, a new CFD animation generation method is proposed in MR system, in order for users to consider the entirety of changes in the thermal environment.
keywords	thermal environment; computational fluid dynamics (CFD); mixed reality (MR); daylight; ventilation
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ecaade2018_162
id	ecaade2018_162
authors	Alkadri, Miktha, Turrin, Michela and Sariyildiz, Sevil
year	2018
title	Toward an Environmental Database - Exploring the material properties from the point cloud data of the existing environment
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 263-270
doi	https://doi.org/10.52842/conf.ecaade.2018.2.263
summary	The utilization of point cloud as a 3D laser scanning product has reached across multi-disciplines in terms of data processing, data visualization, and data analysis. This study particularly investigates further the use of typical attributes of raw point cloud data consisting of XYZ (position information), RGB (colour information) and I (intensity information). By exploring the optical and thermal properties of the given point cloud data, it aims at compensating the material and texture information that is usually remained behind by architects during the conceptual design stage. Calculation of the albedo, emissivity and the reflectance values from the existing context specifically direct the architects to predict the type of materials for the proposed design in order to keep the balance of the surrounding Urban Heat Island (UHI) effect. Therefore, architects can have a comprehensive analysis of the existing context to deal with the microclimate condition before a design decision phase.
keywords	point cloud data; material characteristics; albedo; emissivity; reflectance value
series	eCAADe
email
last changed	2022/06/07 07:54

_id	sigradi2023_39
id	sigradi2023_39
authors	Borges, Marina, Karantino, Lucas and Gorges, Diego
year	2023
title	Walkability: Digital Parametric Process for Analyzing and Evaluating Walkability Criteria in Peripheral Central Regions of Belo Horizonte
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 397–408
summary	According to one of the Sustainable Development Goals (UN, 2018), it is important for cities to be inclusive, safe, resilient, and sustainable. Therefore, it is necessary to value pedestrians and consequently active mobility, giving priority to the concepts of the Transportation Oriented Development (TOD) methodology. Although the Master Plan (BELO HORIZONTE, 2019) proposes that areas located in regional centralities are enhancing active mobility, can residents actually benefit from these resources at a walkable distance to access basic services? Thus, the aim of this research is to utilize digital technologies to visualize, analyze, and assess pedestrians' access conditions to commerce and basic services, identifying areas lacking infrastructure. The goal is for the model to serve as a reference for the development of public policies. To achieve this, metadata was used for parametric modeling to study walkability in the peripheral region of the city of Belo Horizonte.
keywords	Walkability, Urban Data Analysis, Urban Design, Parametric Urbanism, Algorithmic Logic
series	SIGraDi
email
last changed	2024/03/08 14:07

_id	ecaade2018_164
id	ecaade2018_164
authors	Chang, Mei-Chih, Buš, Peter, Tartar, Ayça, Chirkin, Artem and Schmitt, Gerhard
year	2018
title	Big-Data Informed Citizen Participatory Urban Identity Design
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 669-678
doi	https://doi.org/10.52842/conf.ecaade.2018.2.669
summary	The identity of an urban environment is important because it contributes to self-identity, a sense of community, and a sense of place. However, under present-day conditions, the identities of expanding cities are rapidly deteriorating and vanishing, especially in the case of Asian cities. Therefore, cities need to build their urban identity, which includes the past and points to the future. At the same time, cities need to add new features to improve their livability, sustainability, and resilience. In this paper, using data mining technologies for various types of geo-referenced big data and combine them with the space syntax analysis for observing and learning about the socioeconomic behavior and the quality of space. The observed and learned features are identified as the urban identity. The numeric features obtained from data mining are transformed into catalogued levels for designers to understand, which will allow them to propose proper designs that will complement or improve the local traditional features. A workshop in Taiwan, which focuses on a traditional area, demonstrates the result of the proposed methodology and how to transform a traditional area into a livable area. At the same time, we introduce a website platform, Quick Urban Analysis Kit (qua-kit), as a tool for citizens to participate in designs. After the workshop, citizens can view, comment, and vote on different design proposals to provide city authorities and stakeholders with their ideas in a more convenient and responsive way. Therefore, the citizens may deliver their opinions, knowledge, and suggestions for improvements to the investigated neighborhood from their own design perspective.
keywords	Urban identity; unsupervised machine learning; Principal Component Analysis (PCA); citizen participated design; space syntax
series	eCAADe
email
last changed	2022/06/07 07:56

_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
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
doi	https://doi.org/10.52842/conf.caadria.2021.2.131
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	ecaade2018_210
id	ecaade2018_210
authors	Ezzat, Mohammed
year	2018
title	A Computational Tool for Mapping the Users' Urban Cognition - A Framework and a Representation for the Evolutionary Optimization of the Fuzzy Binary Relation between the Urban Conceptions of "Us" and "Others"
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 667-676
doi	https://doi.org/10.52842/conf.ecaade.2018.1.667
summary	The paper proposes a computational tool for simulating the users' urban cognitive systems, or more specifically the long-term memory associated with the knowledge of urbanism and its related urban visual features. The tool builds on our comprehensive theory of Urbanism, which presents a monolithic, structured, comprehensive, professional conception of Urbanism based on which any relativistic users' urban conceptions could be predicted as a restructuring of the professional conception. These versatile relativistic conceptions would emerge based on a nurturing environment, which is a conception of the empirical/anthropological collected data of the intended users' reflections against their preferred constructed urban environments. Once the users' conceptions of Urbanism are formulated, which is the first phase of the simulation, the users' impressions against any examined urban constructs are attainable, which is the second phase of the simulation. The two phases, the framework, would be monolithically represented by a proposed novel cellular graph. The proposed computational tool is thought of as a robust technique for the computational incorporation of the users' urban identity, and some of its constituents could be considered as a needed common platform of communication for a successful Human-Computer interaction in the field of urban analysis/design.
keywords	a comprehensive model of Urbanism; a default professional conception of Urbanism; the relativistic users' conceptions of Urbanism ; recognized extracted urban features ; the users' urban identity; A comprehensive theory for space syntax:
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ascaad2021_065
id	ascaad2021_065
authors	Fraschini, Matteo; Julian Raxworthy
year	2021
title	Territories Made by Measure: The Parametric as a Way of Teaching Urban Design Theory
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. 494-506
summary	Design tools like Grasshopper are often used to either generate novel forms, to automate certain design processes or to incorporate scientific factors. However, any Grasshopper definition has certain assumptions about design and space built into it from its earliest genesis, when the initial algorithm is set out. Correspondingly, implicit theoretical positions are built into definitions, and therefore its results. Approaching parametric design as a question of architectural, landscape architectural or urban design theory allows the breaking down of traditional boundaries between the technical and the historical or theoretical, and the way parametric design, and urban design history & theory, can be conveyed in the teaching environment. Once the boundaries between software and history & theory are transgressed, Grasshopper can be a way of testing the principles embedded in historical designs and thus these two disciplines can be joined. In urban design, there is an inherent clash between an ideal model and existing urban geography or morphology, and also between formal (qualitative) and numerical (quantitative) aspects. If a model provides a necessary vision for future development, an existing topography then results from the continuous human and natural modifications of a territory. To explore this hypothesis, the “Urban Design Representation” subject in the Master of Urban Design program at the University of Cape Town taught in 2017 & 2018 was approached “parametrically” from these two opposite, albeit convergent, starting points: the conceptual/rational versus the physical/empiric representations of a territory. In this framework, Grasshopper was used to represent typical standards and parameters of modern urban planning (for example, Floor/Area Ratio, height and distance between buildings, site coverage, etc), and a typological approach was adopted to study and “decode” the relationship between public and private space, between the street, the block and topography, between solids and voids. This methodology permits a cross-comparison of different urban design models and the immediate evaluation of their formal outputs derived from parametric data.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	ecaade2018_197
id	ecaade2018_197
authors	Fuchkina, Ekaterina, Schneider, Sven, Bertel, Sven and Osintseva, Iuliia
year	2018
title	Design Space Exploration Framework - A modular approach to flexibly explore large sets of design variants of parametric models within a single environment
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 367-376
doi	https://doi.org/10.52842/conf.ecaade.2018.2.367
summary	Parametric modelling allows to relatively easily generate large sets of design variants (so called design space). Typically, a designer intuitively moves through this design space, resulting in one or several satisfying solutions. Due to the theoretically large number of variants that can be created with parametric models, obviously, there is a high probability that potentially good solutions could be missed, which is not at least because of human cognitive limitations. Consequently, it is necessary to develop a certain strategy to support designers in order to search for design solutions. Even though, various methods to systematically approach large data sets exist, the application of them in the design process is a special case, firstly, due to the existence of many non-specifiable and subjective dimensions (e.g. aesthetics) and secondly because of the multiple ways how designers actually search for solutions. This demands for a more flexible approach to design space exploration. This paper investigates how different methods can be combined to support the exploration of design spaces. Therefore, a conceptual framework with a modular architecture is proposed and its prototypical implementation is demonstrated.
keywords	Design Space Exploration; Parametric design
series	eCAADe
email
last changed	2022/06/07 07:50

_id	caadria2018_010
id	caadria2018_010
authors	Han, Lu and Cardoso Llach, Daniel
year	2018
title	Ludi: A Concurrent Physical and Digital Modeling Environment
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 515-523
doi	https://doi.org/10.52842/conf.caadria.2018.1.515
summary	This paper explores the potential of a concurrent physical and digital modeling environment. We describe a prototype for a novel design modeling interface where users can take advantage of the affordances of both physical and digital modeling environments, and work back and forth between the two. Using Processing, along with the Kinect depth sensor, the system uses depth data read from a physical modeling space to produce an enhanced digital representation in real time. Users can design by moving and stacking wooden blocks in a physical space, which is represented (and enhanced) digitally as a "voxel space," which can in turn be edited digitally. The result is a proof-of-concept concurrent physical and digital modeling environment combining design affordances specific to each media: the physical space offers tactile and embodied forms of design inter-action, and the digital space offers parametric editing capabilities, along with the capacity to view the modeling space from different perspectives, and perform basic analyses on designs. Following a brief review of experimental computational and tangible interaction design interfaces, the paper discusses the system's implementation, its limitations, and future steps.
keywords	Computational Design; Processing; Concurrent Modeling Environment; Tangible Interaction
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ecaade2018_123
id	ecaade2018_123
authors	Loos, Lennert and De Laet, Lars
year	2018
title	A Structurally Informed Design Process by Real-time Data Visualisations
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 687-696
doi	https://doi.org/10.52842/conf.ecaade.2018.1.687
summary	This paper will discuss data visualisation in structural engineering for comparing design alternatives. By having the structural information of all different design proposals at hand, the designer is able to make informed design decisions. The authors developed a tool for creating interactive graphs while designing structures in a parametric design environment. In this work a case study of different structural design alternatives of a stadium roof is presented. Based on this design case, some graphs and the new informed design approach will be explained. Also the implementation of the tool within a parametric design environment with its advantages and issues is discussed.
keywords	Data visualisation; Computer-aided design; Decision making; Structural design
series	eCAADe
email
last changed	2022/06/07 07:52

_id	acadia18_72
id	acadia18_72
authors	Nagy, Danil; Stoddart, Jim; Villaggi, Lorenzo; Burger, Shane; Benjamin, David
year	2018
title	Digital Dérive. Reconstructing urban environments based on human experience
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 72-81
doi	https://doi.org/10.52842/conf.acadia.2018.072
summary	This paper describes a novel method for reconstructing urban environments based on individual occupant experience. The method relies on a low-cost off-the-shelf 360-degree camera to capture video and audio data from a natural walk through the city. It then uses a custom workflow based on an open-source Structure from Motion (SfM) library to reconstruct a dense point cloud from images extracted from the 360-degree video. The point cloud and audio data are then represented within a virtual reality (VR) model, creating a multisensory environment that immerses the viewer into the subjective experience of the occupant. This work questions the role of precision and fidelity in our experience and representation of a “real” physical environment. On the one hand, the resulting VR environment is less complete and has lower fidelity than digital environments created through traditional modeling and rendering workflows. On the other hand, because each point in the point cloud is literally sampled from the actual environment, the resulting model also captures more of the noise and imprecision that characterizes our world. The result is an uncanny immersive experience that is less precise than traditional digital environments, yet represents many more of the unique physical characteristics that define our urban experiences.
keywords	full paper, urban design & analysis, representation + perception, interactive simulations, virtual reality
series	ACADIA
type	paper
email
last changed	2022/06/07 07:59

_id	acadia18_66
id	acadia18_66
authors	Peek, Nadya; Gershenfeld, Neil
year	2018
title	Mods: Browser-Based Rapid Prototyping Workflow Composition
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 66-71
doi	https://doi.org/10.52842/conf.acadia.2018.066
summary	Software is shared through files and libraries, but workflows are not. To be able to share workflows for rapid automation, we developed an extensible environment for running CAD, CAM, and machine control. We present Mods, a browser-based environment for data handling, toolpath planning, and machine execution. Users compose modules (either existing modules or new modules they contribute) into workflows for machine automation sequences in a dataflow environment. The modules themselves run client side, implementing the functions used by the modules (such as toolpath planning algorithms or image analysis) in JavaScript, which runs in the browser. The physical machines are connected to a JavaScript server, which listens to commands from the client over a WebSocket connection. Together, these software modules make up an extensible and simple-to-use alternative to traditional CAD/CAM machine control environments.
keywords	work in progress, software, digital fabrication, automation, computer-aided-machining
series	ACADIA
type	paper
email
last changed	2022/06/07 07:59

_id	ecaade2018_189
id	ecaade2018_189
authors	Zardo, Paola, Quadrado Mussi, Andréa and Lima da Silva, Juliano
year	2018
title	The Role of Digital Technologies in Promoting Contemporary and Collaborative Design Processes
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 469-478
doi	https://doi.org/10.52842/conf.ecaade.2018.1.469
summary	Digital technologies and contemporary CAAD systems are increasingly being adopted in architectural practice. Thus, their impacts on buildings design process need to be addressed and explored, as there are signs of a potential revolution in AEC industry. This paper presents a methodology and preliminary results of a work-in-progress for a Master of Science dissertation. The main purpose of the study is to find similarities in practice in order to determine main characteristics and fundamentals of contemporary design process. It consists of a design praxiology approach according to Cross' taxonomy of design research. Three project cases developed by digital processes and explored by secondary data from literature reviews, complemented by documentary research, are presented as preliminary results, as well as their main similarities. Through the analysis of the cases, it was verified that the presence of BIM, parametric modeling and digital fabrication overlaps and promotes holistic and largely collaborative design processes. The role of collaboration is highlighted, which was presented as a key factor for the success of the projects. Future results from the described methodology should allow a more detailed and in-depth characterization of the contemporary design process.
keywords	digital technologies; contemporary design process; design praxiology
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2018_342
id	ecaade2018_342
authors	Kormaníková, Lenka, Chronis, Angelos, Kme, Stanislav and Katunský, Dušan
year	2018
title	Wind-formed Architectural Shapes
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 377-384
doi	https://doi.org/10.52842/conf.ecaade.2018.2.377
summary	The paper investigates the design loop of parametrically creating an architectural shape based on the analysis of the specific wind situation of the design site, continuously testing the design's performance in the wind using Computational Fluid Dynamics (CFD) simulations and subsequently adjusting the formed architectural shape based on the wind simulations' results. An optimal shape for the determined behavior in the wind is sought in this iterative process. The design strategy is being developed as an attempt to create a sustainable and effective alternative design approach for the changing future environment. The complexity of the process, particularly the need of the repetitive wind tunnel adjustment for every new design situation, or the need of external post-processing software for displaying the wind results of every new architectural shape remains a disadvantage in the search for an optimal architectural solution.
keywords	environment; parametric architecture; CFD; performance; wind analysis
series	eCAADe
email
last changed	2022/06/07 07:51

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