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	caadria2021_226
id	caadria2021_226
authors	Fang, Yu-Cyuan, Chang, Teng-Wen, Hsiao, Chi-Fu and Chen, Chun-Yen
year	2021
title	Developing a correcting tool for interactive fabrication process
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. 653-662
doi	https://doi.org/10.52842/conf.caadria.2021.1.653
summary	This paper will propose the integration of multi-view stereo and time of flight technologies and components. Through the spatial point cloud sensor, the changes of objects in the space are converted into digital point clouds, which are feedback on the virtual interface. To make the virtual and physical will continuously communicate and feedback in space, which we established a correction tool for the integration of virtual and physical. The agent-based sensor computing method combines the fabrication process of visual sensors and behavior, from virtual object control to fabrication machines. In this tool, users can explain the reasons for design decisions by visualizing process and process-related information. It allows virtual and physical previews and feedback in real time, and finds out the differences between the two and makes real-time corrections. Solved the correction problem of coexistence.
keywords	Digital fabrication; Digital Twin; Co-existing; Design process
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	acadia21_308
id	acadia21_308
authors	Rossi, Gabriella; Chiujdea, Ruxandra; Colmo, Claudia; El Alami, Chada; Nicholas, Paul; Tamke, Martin; Ramsgaard Thomsen, Mette
year	2021
title	A Material Monitoring Framework
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. 308-317.
doi	https://doi.org/10.52842/conf.acadia.2021.308
summary	Through 3d printing, cellulose-based biopolymers undergo a two-staged hybrid fabrication process, where initial rapid forming is followed by a slower secondary stage of curing. During this curing large quantities of water are evaporated from the material which results in anisotropic deformations. In order to harness the potential of 3d printing biopolymers for architectural applications, it is necessary to understand this extended timeline of material activity and its implications on critical architectural factors related to overall element shrinkage, positional change of joints, and overall assembly tolerance. This paper presents a flexible multi-modal sensing framework for the understanding of complex material behavior of 3d printed cellulose biopolymers during their transient curing process. We report on the building of a Sensor Rig, that interfaces multiple aspects of the curing of our cellulose-slurry print experiments, using a mix of image-based, marker-based, and pin-based protocols for data collection. Our method uses timestamps as a common parameter to interface various modes of curing monitoring through multi-dimensional time slices. In this way, we are able to uncover underlying correlations and affects between the different phenomena occuring during curing. We report on the developed data pipelines enabling the Monitoring Framework and its associated software and hardware implementation. Through graphical Exploratory Data Analysis (EDA) of 3 print experiments, we demonstrate that geometry is the main driver for behavior control. This finding is key to future architectural-scale explorations.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_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	sigradi2021_83
id	sigradi2021_83
authors	Kim, Taeyong, Guida, George and Kim, Dongyun
year	2021
title	VitruviAR: Interactive Augmented Reality for Early Design Stage Applications
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 1101–1112
summary	The increasing development of Augmented Reality (AR) applications have found prevalence within construction stages of architectural projects. The workflows developed within digital fabrication and assembly processes provide insights on how the design cycle could be completed through mixed reality. In this paper we present VitruviAR, an AR prototype for handheld devices which focuses on the design ideation stages of a project through an intuitive user interface and multi-functional toolset. Three design methodologies relating to the act of sketching digitally are proposed: freeform 3D sketching in point-based meshes, additive 3D sketching with primitive and scanned objects, and computational 3D sketching via a User Datagram Protocol (UDP). These each demonstrate engaging ways of designing and visualizing new spaces and interacting with urban contexts in real-time.
keywords	Augmented Reality, Design, Accessibility, Interaction
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	cdrf2021_242
id	cdrf2021_242
authors	Waishan Qiu , Wenjing Li, Xun Liu, and Xiaokai Huang
year	2021
title	Subjectively Measured Streetscape Qualities for Shanghai with Large-Scale Application of Computer Vision and Machine Learning
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_23
summary	Recently, many new studies emerged to apply computer vision (CV) to street view imagery (SVI) dataset to objectively extract the view indices of various streetscape features such as trees to proxy urban scene qualities. However, human perceptions (e.g., imageability) have a subtle relationship to visual elements which cannot be fully captured using view indices. Conversely, subjective measures using survey and interview data explain more human behaviors. However, the effectiveness of integrating subjective measures with SVI dataset has been less discussed. To address this, we integrated crowdsourcing, CV, and machine learning (ML) to subjectively measure four important perceptions suggested by classical urban design theory. We first collected experts’ rating on sample SVIs regarding the four qualities which became the training labels. CV segmentation was applied to SVI samples extracting streetscape view indices as the explanatory variables. We then trained ML models and achieved high accuracy in predicting the scores. We found a strong correlation between predicted complexity score and the density of urban amenities and services Point of Interests (POI), which validates the effectiveness of subjective measures. In addition, to test the generalizability of the proposed framework as well as to inform urban renewal strategies, we compared the measured qualities in Pudong to other five renowned urban cores worldwide. Rather than predicting perceptual scores directly from generic image features using convolution neural network, our approach follows what urban design theory suggested and confirms various streetscape features affecting multi-dimensional human perceptions. Therefore, its result provides more interpretable and actionable implications for policymakers and city planners.
series	cdrf
last changed	2022/09/29 07:53

_id	acadia21_246
id	acadia21_246
authors	Safley, Nick
year	2021
title	Reconnecting...
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. 246-255.
doi	https://doi.org/10.52842/conf.acadia.2021.246
summary	This design research reimagines the architectural detail in a postdigital framework and proposes digital methods to work upon discrete tectonics. Drawing upon Marco Frascari's writing The Tell-the-Tale Detail, the study aims to reimagine tectonic thinking for focused attention after the digital turn. Today, computational tools are powerful enough to perform operations more similar to physical tools than in the earlier digital era. These tools create a "digital materiality," where architects can manipulate digital information in parallel and overlapping ways to physical corollaries. (Abrons and Fure, 2018) To date, work in this area has focused on materiality specifically. This project reinterprets tectonics using texture map editing and point cloud information, particularly reconceptualizing jointing using images. Smartphone-based 3D digital scanning was used to captured details from a series of Carlo Scarpa's influential works, isolating these details from their physical sites and focusing attention upon individual tectonic moments. As digital scans, these details problematize the rhetoric of smoothness and seamlessness prevalent in digital architecture as they are discretely construed loci yet composed of digital meshes. (Jones 2014) Once removed from their contexts, reconnecting the digital scans into compositions of "compound details" necessitated a series of new mechanisms for constructing and construing not native to the material world. Using Photoshop editing of texture-mapped images, digital texturing of meshes, and interpretation of the initial material constructions, new joints within and between these the digital scanned details were created to reframe the original detail for the post-digital.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2022_249
id	ecaade2022_249
authors	Carrasco Hortal, Jose, Hernandez Carretero, Sergi, Abellan Alarcon, Antonio and Bermejo Pascual, Jorge
year	2022
title	Algae, Gobiidae Fish and Insects that inspire Coastal Custodian Entities - Digital models for a real-virtual space using TouchDesigner
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. 361–370
doi	https://doi.org/10.52842/conf.ecaade.2022.1.361
summary	At the beginning of the twenty-first century, a discipline at the intersection of digital art and science explores how natural and artificial species are affected, coexist, and feed back to humans based on multi-scalar hybrid models. They embody types of surveillance entities or non-human custodians, and serve as inspiration for another generation of designs produced ten years later, the case studies that are presented here. This paper explains the design and parametric fundamentals of a digital architecture installation at the University of Alicante (Spain 2021) using CNC models and the TouchDesigner programming environment. The installation contains a clan of technological-virtual hybrid species, non-human custodians, which: (a) strengthen the Proposal’s discourse on the recognition of legal identity of the Mar Menor lagoon (Southeast Spain); (b) incorporate reactive designs; (c) help raise awareness of the effect of human actions on the lagoon’s ecology and nearby streams. The viewpoint is not anthropocentric, because it adopts the perspective of the foraging fish species or the oxygen-seeking algae species, among others, in order to reveal the deterioration processes. In most cases, the result is a sort of synaesthetic conversation that interweaves light, sound, movement and data.
keywords	Human-Machine Interaction, TouchDesigner, Non-Human Custodian, Responsive Interface, Ethnography of Things
series	eCAADe
email
last changed	2024/04/22 07:10

_id	acadia21_302
id	acadia21_302
authors	Diniz, Nancy; Melendez, Frank
year	2021
title	Inoculated Matter
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. 302-305.
doi	https://doi.org/10.52842/conf.acadia.2021.302
summary	INOCULATED MATTER looks towards new possibilities for designing and making architectural elements with living organisms, upcycled waste, and 3D printing technologies. This research project, which is currently ongoing and has been developed over the past two years, includes a series of multi-scalar mycelium bio-composites, as a means of redefining material, water, and energy in the face of changing scales of manufacturing and resource cycles.
series	ACADIA
type	project
email
last changed	2023/10/22 12:06

_id	caadria2021_382
id	caadria2021_382
authors	Heidari, Farahbod, Saleh Tabari, Mohammad Hassan, Mahdavinejad, Mohammadjavad, Werner, Liss C. and Roohabadi, Maryam
year	2021
title	Bio-Energy Management from Micro-Algae Bio-Computational Based Reactor
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. 401-410
doi	https://doi.org/10.52842/conf.caadria.2021.1.401
summary	Microalgae are a sustainable source of unique properties with potential for various applications. Biofuel production has led to the use of them as bioreactors on an architectural scale. Most of these efforts cannot manage the output due to the lack of intelligent control and monitoring over environmental micro-scale growth. This research presents the possibility of control and monitoring over the bio-energy retrieved through micro-organisms in bio-reactors, specifically the growth environments computation. To achieve monitoring, three dimensions of the medium culture captured by cameras, and with the advantage of image processing, the picture frames pixel values measured. In this process, we use the Python OpenCV Library as an image processing reference. Finally, a specifically developed algorithm analyses the calculated 3d-matrix. By changing the environmental parameters, control happens by directly recognizing changes in density and outputs. This researchs computational process has proposed a novel approach for controlling particle-based environments to reach the desired functions of microorganisms, This approach can use in a wide range of cases as a method.
keywords	Bio-Computation; Monitoring; Image Processing; Pattern Recognition; Multi-Functional Bio-Materials
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	caadria2021_354
id	caadria2021_354
authors	Huang, Chenyu, Gong, Pixin, Ding, Rui, Qu, Shuyu and Yang, Xin
year	2021
title	Comprehensive analysis of the vitality of urban central activities zone based on multi-source data - Case studies of Lujiazui and other sub-districts in Shanghai CAZ
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. 549-558
doi	https://doi.org/10.52842/conf.caadria.2021.2.549
summary	With the use of the concept Central Activities Zone in the Shanghai City Master Plan (2017-2035) to replace the traditional concept of Central Business District, core areas such as Shanghai Lujiazui will be given more connotations in the future construction and development. In the context of todays continuous urbanization and high-speed capital flow, how to identify the development status and vitality characteristics is a prerequisite for creating a high-quality Central Activities Zone. Taking Shanghai Lujiazui sub-district etc. as an example, the vitality value of weekday and weekend as well as 19 indexes including density of functional facilities and building morphology is quantified by obtaining multi-source big data. Meanwhile, the correlation between various indexes and the vitality characteristics of the Central Activities Zone are tried to summarize in this paper. Finally, a neural network regression model is built to bridge the design scheme and vitality values to realize the prediction of the vitality of the Central Activities Zone. The data analysis method proposed in this paper is versatile and efficient, and can be well integrated into the urban big data platform and the City Information Modeling, and provides reliable reference suggestions for the real-time evaluation of future urban construction.
keywords	multi-source big data; Central Activities Zone; Vitality; Lujiazui
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ecaade2021_236
id	ecaade2021_236
authors	Krê¿lik, Adrian, Güzelci, Orkan Zeynel and Sousa, José Pedro
year	2021
title	Rob-LCA - An assessment method to support environmental sensitive material selection in robotic fabrication
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 455-464
doi	https://doi.org/10.52842/conf.ecaade.2021.1.455
summary	Facing the current environmental crises, architecture must embrace sustainable modes of design and production. This requires the careful selection of the materials by assessing their lifecycle performance, which is not yet an easy and stable practice. In this context, this paper presents an assessment model called Rob-LCA to evaluate environmental-sensitive material selection for robotic fabrication. The model takes the data related to design and material as an input, it gives the Environmental Impact Indicator based on calculations. Then, designers evaluate and compare the fabrication processes, whether the environmental impact of the materials is satisfactory for the designed object. As a contribution, the proposed model complements information of the environmental impact of the A3, and A5 phases of the typical LCA method, adapting the customization and construction abilities of the robotic fabrication. In this study, the Rob-LCA was tested with the CorkCrete Arch prototype for a compound building system developed by Digital Fabrication Laboratory (DFL). By considering its multi-material panel, the production life cycles of cork and expanded polystyrene were assessed. Initial findings of the test of the model show that the proposed model might open a new path for sustainable manufacturing. This work presents thus a contribution to frame and align the use of digital design and fabrication processes with the current demands for environmental sustainability.
keywords	Robotic Fabrication; Life Cycle Assessment; Environmental Impact Assessment; Sustainable Production; New European Bauhaus
series	eCAADe
email
last changed	2022/06/07 07:52

_id	caadria2021_078
id	caadria2021_078
authors	Li, Chao and Petzold, Frank
year	2021
title	Integrating digital design and Additive Manufacturing through BIM-based digital support - A decision support system using Semantic Web and Multi-Criteria Decision Making
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. 263-270
doi	https://doi.org/10.52842/conf.caadria.2021.1.263
summary	Additive Manufacturing in Construction (AMC) envisions a possible alternative for predominantly manual construction with various benefits. In addition to the well-known extrusion-based implementations of AMC, other techniques have been developed to meet various visual and functional requirement. However, the application of Additive Manufacturing (AM) into construction projects has to be carefully evaluated, especially during the early phases of architectural design when important decisions are made. From this point, this work devised an AMC-Oriented Design Decision Support System (DDSS) to identify suitable building components which can be manufactured with specific AM methods. In such a DDSS, knowledge base and decision-making strategy are both critical. To this end, principle of leveraging Semantic Web techniques and Multi-Criteria Decision Making (MCDM) methodologies will be addressed. At the current stage of our research, pre-printed building components using concrete material are considered during the decision support process.
keywords	Additive Manufacturing in Construction; BIM; Design Decision Support System; Multi-Criteria Decision Making; Semantic Web
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2021_043
id	caadria2021_043
authors	Ng, Provides
year	2021
title	21E8: Coupling Generative Adversarial Neural Networks (GANS) with Blockchain Applications in Building Information Modelling (BIM) Systems
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. 111-120
doi	https://doi.org/10.52842/conf.caadria.2021.2.111
summary	The ability of GANs to synthesize large sets of data is ideal for coupling with BIM to formulate a multi-access system that enables users to search and browse through a spectrum of articulated options, all personalised to design specificity - an 'Architecture Machine'. Nonetheless, due to challenges in proprietary incompatibility, BIM systems currently lack a secured yet transparent way of freely integrating with crowdsourced efforts. This research proposes to employ blockchain as a means to couple GANs and BIM, with e8 networking topology to facilitate communication and distribution. It consists of a literature review and a design research that proposes a tech stack design and UML (unified modeling language) use cases, and presents preliminary design results obtained using GANs and e8.
keywords	21e8; GANs; Blockchain; BIM; Architecture Machine
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2021_213
id	caadria2021_213
authors	Oghazian, Farzaneh and Vazquez, Elena
year	2021
title	A Multi-Scale Workflow for Designing with New Materials in Architecture: Case Studies across Materials and Scales - Case studies across materials and scales
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. 533-542
doi	https://doi.org/10.52842/conf.caadria.2021.1.533
summary	In this paper, we present a workflow developed for designing with and scaling-up new materials in architecture through an iterative cycle of materialization and testing. The framework establishes a connection between design requirements and form, taking advantage of different scales in new materials known as micro, meso, and macroscale in the process of design/manufacture. Different scales when dealing with material systems-especially in those that possess some level of uncertainty in their behavior from the formation process-make it challenging to deal with the different material variables controlled at each scale. This paper presents a brief review of existing design workflows centered on material properties. We then discuss case studies and argue for a multi-scale approach for design. Finally, we present the workflow. By implementing the workflow on two case studies, we answer how we can include material scales and their embedded properties as the central part of the design/manufacture process to aid in implementing new materials in architecture. The case studies are a responsive skin system and a free-standing tensile structure incorporating 3D printed wood filament and knitted yarn as the primary material.
keywords	material computation; material-based design; wood 3D printing; knitting; multi-scale workflow
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2021_261
id	caadria2021_261
authors	Pei, Wanyu, Guo, Xiangmin and Lo, TianTian
year	2021
title	Detecting Virtual Perception Based on Multi-Dimensional Biofeedback - A Method to Pre-Evaluate Architectural Design Objectives
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. 183-192
doi	https://doi.org/10.52842/conf.caadria.2021.2.183
summary	In the information age, the attention to architectural design has gradually shifted from spatial aesthetics to the human's spatial experience. The situation of human perception becomes essential feedback information that designers can use to improve the design schemes. This research proposes an auxiliary method for pre-evaluating the architectural design goals and providing recommendations for architects to optimize the scheme. Specifically, by aggregating and quantitative analyzing electrophysiological signals and eye-tracking data, this research obtained the user's spatial perception with little effect of subjective consciousness as their feedback on the architectural environment. We took the campus outdoor space of an International School of Design as the research sample. By combining the architect's design concept and objectives, we constructed the contrast spatial schemes in virtual reality (VR) for users to experience and analyzed the usability of this method when pre-evaluate design objectives in a practical project.
keywords	multi-dimensional biofeedback; architectural design objectives; pre-evaluation; virtual reality
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ecaade2021_208
id	ecaade2021_208
authors	Rodríguez Hernández, José Luis, Cortes Perez, Juan Pedro, Gradisar, Luka and Figueiredo, Bruno
year	2021
title	Structural Grid Predesign using Generative Design for Residential Building with Steel Structure on BIM Models - Structural grid predesign using generative design
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. 59-66
doi	https://doi.org/10.52842/conf.ecaade.2021.2.059
summary	Due to the more significant architectural complexity, it is helpful to include structural analysis studies in the early design stages. An architectural team typically carries out the structural grid fit in this phase. This limitation may lead to the structural distribution in the initial phase not being the most appropriate. This work aims to provide a tool for architects oriented design by optimising the cost of the structure, making an initial layout for residential buildings with the regular shape of steel structures using the generative design, which allows the creation of structural BIM models that comply with the requirements of stability and resistance for gravity design specified in the American code ASCE 360 as starting point on the conceptual design. The paper describes the computational design development for the structural building grid using multi-criteria optimisation solved by a genetic algorithm.
keywords	Generative Design; Building Information Modelling (BIM); Structural Predesign; Structural Grid; Multi-Objective Optimisation
series	eCAADe
email
last changed	2022/06/07 07:56

_id	acadia21_28
id	acadia21_28
authors	Tessmer, Lavender; Tibbits, Skylar
year	2021
title	Personalized Knit Masks
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. 28-37.
doi	https://doi.org/10.52842/conf.acadia.2021.028
summary	In this paper we outline a new workflow for textiles customization through the design and fabrication of knit shape-changing masks that contain multi-material fibers to create programmable transformation. We have created a process for producing standardized and scalable textile goods using a flatbed industrial CNC knitting machine which are then "tailored" to an individual's body measurements through a system of programmable textiles, custom multi-material fiber, and robotic heat activation. Hybridizing the efficiency of standardized textile production with unique geometric variation, the proposed strategy centers on the shape-change behavior of fibers and precise knit structures to produce personalized textiles. This work focuses on the face mask as an example of a now-ubiquitous textile good that is often ill fitting and yet can now be highly tailored to an individual’s personal fit and comfort. This paper outlines the materials, knit fabric development, mask design, digital workflow, and fabrication steps for producing truly customized masks for an individual's unique facial geometry.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ascaad2021_153
id	ascaad2021_153
authors	Valitabar, Mahdi; Mohammadjavad Mahdavinejad, Henry Skates, Peiman Pilechiha
year	2021
title	Data-Driven Design of Adaptive Façades: View, Glare, Daylighting and Energy Efficiency
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. 699-711
summary	This paper attempts to increase occupants’ view to outside through Adaptive facades by employing a parametric design method. Reaching a balance between occupants’ requirements and the building energy criteria is the main objective of this research. To this end, a multi-objective optimization is done to generate some optimum models. The method, indeed, was used to optimize the shading size of a dynamic vertical shading system utilized on the south façade of a single office room located in Tehran. The shading system was defined by five parameters and a combination of Cut-off and a glare protection strategy is used to control dynamic shadings. The size-optimisation objectives are minimum DGP, cooling load and maximum illuminance, which were analysed by Ladybug Tools. Then, Octopus was used for multi-objective optimistion to find new optimum forms. Along with the openness factor, a new index is presented to evaluate the outside view in multiple louver shading systems, named “Openness Curvature Factor” (OCF). Thanks to this method, the size and shape of some optimum generated models were modified to increase the amount of OCF. Following that the Honeybee Plus is used to simulate the visual performance of modified models which shows a significant improvement. The modified models could provide about 4 times more outside view than generated models whilst keeping the DGP value in imperceptible range. Geometric or even complex non-geometric shading forms can be studied by this method to find optimum adaptive facades.
series	ASCAAD
email
last changed	2021/08/09 13:14

_id	acadia21_122
id	acadia21_122
authors	Velikov, Kathy; Hasan, Kazi Najeeb; del Campo, Matias; Xie, Ruxin; Denit, Lucas; Boyce, Brent
year	2021
title	Design Engine
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. 122-133.
doi	https://doi.org/10.52842/conf.acadia.2021.122
summary	Generative design offers the possibility to heuristically explore data-driven design iterations during the design process. This enables performance-informed feedback and the possibility for exploring viable options with stakeholders earlier in the design process. Since architectural design is a complex, nonlinear process that requires trade-offs and compromises among multiple requirements, many of which are in conflict with each other, a multi-objective solver provides a spectrum of possible solutions without converging on a single optimized individual. This enables a more informed design possibility space that is open to collaborative decision-making. This paper describes the development of a custom multi-objective generative design workflow to visualize families of possible future building typologies with a focus on the impact of site, form, envelope performance, and glazing. Three future design scenarios are generated for three urban U.S. locations projected to grow and where progressive environmental performance stretch codes have been adopted. Drivers such as plausible site, procurement, financing, value chain, and construction typology inform possibilities for built form, envelope technologies, and performance in relation to local codes, environment, and occupant health, are transformed into design inputs through urban, spatial and environmental simulation tools for a "building design generator," or a multi-objective optimizer tool that produces an array of possible building massing and schematic envelope design options. The paper concludes with pointing out some of the gaps in data of current evaluation tools, the need for interoperability across platforms, and this points to multiple trajectories of future research in this area.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2021_159
id	ecaade2021_159
authors	Yazicioglu, Gülin and Gürsel Dino, Ipek
year	2021
title	From Streetscape to Data - Semantic segmentation for the prediction of outdoor thermal comfort
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 555-562
doi	https://doi.org/10.52842/conf.ecaade.2021.1.555
summary	In recent years, the increasing pace of urbanization is expected to increase the temperatures in urban contexts and amplify the Urban Heat Island effect. This phenomenon has a negative impact on the urbanites' thermal comfort in outdoor spaces. Modeling and simulation-based approaches can precisely calculate outdoor thermal comfort; however, they are labor-intensive and high in computational cost. This difficulty might discourage decision-makers to consider outdoor thermal comfort conditions, which can affect their strategies at the beginning stage of design. This paper aims to propose a statistical model that can predict outdoor comfort using semantic segmentation of 2D street view images. Firstly, 78 panoramic street images of selected three streets in Istanbul are used to calculate the specific object classes that have an influence on outdoor temperature using semantic segmentation. Following, the streets' outdoor thermal comfort is calculated in Ladybug/Grasshopper. Lastly, two multi-variate regression models are built using the percentages of these object classes in each image and outdoor thermal comfort in given locations on the streets. Initial results show that the proposed regression models can predict UTCI with R2=0.78 and R2=0.80, indicating the semantic segmentation can support the calculation of outdoor comfort.
keywords	multivariate linear regression model; semantic segmentation; universal thermal climate index (UTCI)
series	eCAADe
email
last changed	2022/06/07 07:57

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