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	ecaade2024_222
id	ecaade2024_222
authors	Bindreiter, Stefan; Sisman, Yosun; Forster, Julia
year	2024
title	Visualise Energy Saving Potentials in Settlement Development: By linking transport and energy simulation models for municipal planning
doi	https://doi.org/10.52842/conf.ecaade.2024.2.079
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 2, pp. 79–88
summary	To achieve Sustainable Development Goals, in addition to the switch to sustainable energy sources and energy-efficient buildings, transport offers a major lever for reducing energy consumption and greenhouse gases. The increasing demand for emission-free mobility (e.g. through electromobility) but also heat pumps has a direct impact on the electricity consumption of buildings and settlements. It is still difficult to simulate the effects and interactions of different measures as sector coupling concepts require comprehensible tools for ex ante evaluation of planning measures at the community level and the linking of domain-specific models (energy, transport). Using the municipality of Bruck an der Leitha (Austria) as an example, a digital twin based on an open data model (Bednar et al., 2020) is created for the development of methods, which can be used to simulate measures to improve the settlement structure within the municipality. Forecast models for mobility (Schmaus, 2019; Ritz, 2019) and the building stock are developed or applied and linked via the open data model to be able to run through development scenarios and variants. The forecasting and visualisation options created in the project form the basis for the ex-ante evaluation of measures and policies on the way to a Positive-Energy-District. By identifying and collecting missing data, data gaps are filled for the simulation of precise models in the specific study area. A digital, interactive 3D model is created to examine the forecast results and the different scenarios.
keywords	visualisation, decision support, sector coupling, holistic spatial energy models for municipal planning, (energy) saving potentials in settlement development
series	eCAADe
email
last changed	2024/11/17 22:05

_id	ecaadesigradi2019_404
id	ecaadesigradi2019_404
authors	Collins, Jeffrey and Gentry, Russell
year	2019
title	Coordinating Atypical Architectural Precast Concrete Façades - Two categories
doi	https://doi.org/10.52842/conf.ecaade.2019.2.261
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. 261-268
summary	This research focuses on issues of coordination between designers and fabricators during early design. The aim of this work is to improve representations, enable more informed conversations, and streamline exchanges of digital models. In order to show the potential of the work, research is focused on architectural precast concrete facades. Previous work established methods for linking "global" and "local" parametric models of architectural intent and corresponding components, describing processes of mapping from individual custom panels to diagrammatic façade surfaces and vice-versa. Such mapping may be considered "direct," wherein individual panel boundaries - defined by surface patterning - allow simple mapping of data from global to local or from local to global descriptions. However, there are some buildings with architectural precast concrete façades which do not permit direct relationships between global and local descriptions. These atypical facades require "indirect" maps containing additional layers of information in order to coordinate global and local descriptions. This paper describes two categories of these indirect scenarios: "panelization" and "patterns across panels."
keywords	BIM; Parametric modelling; Architectural precast concrete; Building facades
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	cf2019_014
id	cf2019_014
authors	Ferrando, Cecilia; Niccolo Dalmasso, Jiawei Mai, Daniel Cardoso Llach
year	2019
title	Architectural Distant Reading Using Machine Learning to Identify Typological Traits Across Multiple Buildings
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 114-127
summary	This paper introduces an approach to architectural “distant reading”: the use of computational methods to analyze architectural data in order to derive spatial insights from—and explore new questions concerning—large collections of architectural work. Through a case study comprising a dataset of religious buildings, we show how we may use machine learning techniques to identify typological and functional traits from building plans. We find that spatial structure, rather than local features, is particularly effective in supporting this type of analysis. Further, we speculate on the potential of this computational method to enrich architectural design, research, and criticism by, for example, enabling new ways of thinking about architectural concepts such as typology in ways that reflect gradual variations, rather than sharp distinctions.
keywords	Architectural Analytics, Machine Learning, Classification, Religious buildings, Space Syntax
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	acadia19_90
id	acadia19_90
authors	Forward, Kristen; Taron, Joshua
year	2019
title	Waste Ornament
doi	https://doi.org/10.52842/conf.acadia.2019.090
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. 90-99
summary	The emergence of computational design and fabrication tools has escalated the potentials of architectural ornamentation to become innovative, beautiful, and highly sustainable. Historically, ornament has been known to express character and reveal relationships between materiality, technological advances, and societal evolution. But ornament rapidly declined in the late 1800s in large part due to mechanization and modernist ideals of uniform, unadorned façade components. However, ornamentation in architecture has recently reappeared—a development that can be linked closely to advancements in computational design and digital fabrication. While these advancements offer the ability to create expressive architecture, their potential contribution to the improvement of sustainable architecture has largely been overlooked (Augusti-Juan and Habert 2017). This paper provides a brief revisitation to the history of ornament and investigates the impact of computation and automation on the production of contemporary ornament. The paper also attempts to catalog examples of how designers have used computational technologies to address the growing criticality of environmental concerns. Moreover, the paper presents the Waste Ornament project, a research platform that critically examines how we can leverage technology to augment the visual and sustainable performance of facade ornamentation to reduce energy use in buildings. Three sub-projects are identified as territories for further research into sustainable ornamentation, ranging from material sourcing, to high-performance buildings, to the development of a systematic upcycling process that transforms old facades into new ones. While the examples are not exhaustive, they attempt to interlace the general ideas of waste and ornament by addressing particular issues that converge at building envelopes.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:51

_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	caadria2019_143
id	caadria2019_143
authors	Kato, Yuri and Matsukawa, Shohei
year	2019
title	Development of Generating System for Architectural Color Icons Using Google Map Platform and Tensorflow-Segmentation
doi	https://doi.org/10.52842/conf.caadria.2019.2.081
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 81-90
summary	In this research, the goal is to develop a generating system for architectural color icons using Google Map Platform and Tensorflow-Segmentation. There has been no case of developing a system that allows users to visualize the color tendency of buildings as architectural color icons for each building element from images of various regions. It is considered meaningful to be able to create criteria for decision making in architecture and the urban design by developing a system to clarify the current state of the architectural colors. It will contribute a rise in the consciousness of landscape conservation and be essential for the design of architectures and public objects. This paper includes the explanation of development method, use experiments, and consideration of five problems among architectural color icons creation. It is assumed that the accuracy of the present system will be better as the technology improves.
keywords	Google street view; machine learning; image segmentation; color palette; color analysis
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2019_256
id	caadria2019_256
authors	Lertsithichai, Surapong
year	2019
title	Augemented Architecture - Interplay between Digital and Physical Environments
doi	https://doi.org/10.52842/conf.caadria.2019.2.353
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 353-362
summary	In an increasingly connected world where computers are everywhere, surrounding us in embedded small portable devices, appliances and inside buildings, implementing these interconnected and embedded computers have now become common practice in the design of smart spaces and intelligent environments of today. Digital information is constantly being collected and distributed by a network of digital devices communicating with users and vice versa. New behaviors and activities that may have not been considered before in the design of architectural building types are now commonly found in public and private spaces throughout the world. In an attempt to explore and experiment with the concept of interplay between digital and physical environments, an option studio was proposed to 4th year architecture students to develop a new type of augmented architecture that corresponds to changes in human social behavior due to digital technologies. Five pilot projects are presented with experiments conducted to question three social activities commonly found in everyday lives using Arduino prototypes installed in real physical locations. The prototypes were then used as a basis for the development of large-scale projects proposed as augmented architecture.
keywords	Human-Computer Interaction; Ubiquitous Computing; Virtual / Augmented Reality; Computational Design Research; IoT for Built Environments
series	CAADRIA
email
last changed	2022/06/07 07:52

_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	ecaade2024_92
id	ecaade2024_92
authors	Mayor Luque, Ricardo; Beguin, Nestor; Rizvi Riaz, Sheikh; Dias, Jessica; Pandey, Sneham
year	2024
title	Multi-material Gradient Additive Manufacturing: A data-driven performative design approach to multi-materiality through robotic fabrication
doi	https://doi.org/10.52842/conf.ecaade.2024.1.381
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. 381–390
summary	Buildings are responsible for 39% of global energy-related carbon emissions, with operational activities contributing 28% and materials and construction accounting for 11%(World Green Building Council, 2019) It is therefore vital to reconsider our reliance on fossil fuels for building materials and to develop new advanced manufacturing techniques that enable an integrated approach to material-controlled conception and production. The emergence of Multi-material Additive Manufacturing (MM-AM) technology represents a paradigm shift in producing elements with hybrid properties derived from novel and optimized solutions. Through robotic fabrication, MM-AM offers streamlined operations, reduced material usage, and innovative fabrication methods. It encompasses a plethora of methods to address diverse construction needs and integrates material gradients through data-driven analyses, challenging traditional prefabrication practices and emphasizing the current growth of machine learning algorithms in design processes. The research outlined in this paper presents an innovative approach to MM-AM gradient 3D printing through robotic fabrication, employing data-driven performative analyses enabling control over print paths for sustainable applications in both the AM industry and our built environment. The article highlights several designed prototypes from two distinct phases, demonstrating the framework's viability, implications, and constraints: a workshop dedicated to data-driven analyses in facade systems for MM-AM 3D-printed brick components, and a 3D-printed brick facade system utilizing two renewable and bio-materials—Cork sourced from recycled stoppers and Charcoal, with the potential for carbon sequestration.
keywords	Data-driven Performative design, Multi-material 3d Printing, Material Research, Fabrication-informed Material Design, Robotic Fabrication
series	eCAADe
email
last changed	2024/11/17 22:05

_id	acadia19_586
id	acadia19_586
authors	Mitterberger, Daniela; Derme, Tiziano
year	2019
title	Soil 3D Printing
doi	https://doi.org/10.52842/conf.acadia.2019.586
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. 586-595
summary	Despite, the innovation of additive manufacturing (AM) technology, and in spite of the existence of natural bio-materials offering notable mechanical properties, materials used for AM are not necessarily more sustainable than materials used in traditional manufacturing. Furthermore, potential material savings may be partially overshadowed by the relative toxicity of the material and binders used for AM during fabrication and post-fabrication processes, as well as the energy usage necessary for the production and processing workflow. Soil as a building material offers a cheap, sustainable alternative to non-biodegradable material systems, and new developments in earth construction show how earthen buildings can create light, progressive, and sustainable structures. Nevertheless, existing large-scale earthen construction methods can only produce highly simplified shapes with rough detailing. This research proposes to use robotic additive manufacturing processes to overcome current limitations of constructing with earth, supporting complex three-dimensional geometries, and the creation of novel organic composites. More specifically the research focuses on robotic binder-jetting with granular bio-composites and non-toxic binding agents such as hydrogels. This paper is divided into two main sections: (1) biodegradable material system, and (2) multi-move robotic process, and describes the most crucial fabrication parameters such as compaction pressure, density of binders, deposition strategies and toolpath planning as well as identifying the architectural implications of using this novel biodegradable fabrication process. The combination of soil and hydrogel as building material shows the potential of a fully reversible construction process for architectural components and foresees its potential full-scale architectural implementations.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:58

_id	acadia20_38
id	acadia20_38
authors	Mueller, Stephen
year	2020
title	Irradiated Shade
doi	https://doi.org/10.52842/conf.acadia.2020.1.038
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. 38-46.
summary	The paper details computational mapping and modeling techniques from an ongoing design research project titled Irradiated Shade, which endeavors to develop and calibrate a computational toolset to uncover, represent, and design for the unseen dangers of ultraviolet radiation, a growing yet underexplored threat to cities, buildings, and the bodies that inhabit them. While increased shade in public spaces has been advocated as a strategy for “mitigation [of] climate change” (Kapelos and Patterson 2014), it is not a panacea to the threat. Even in apparent shade, the body is still exposed to harmful, ambient, or “scattered” UVB radiation. The study region is a binational metroplex, a territory in which significant atmospheric pollution and the effects of climate change (reduced cloud cover and more “still days” of stagnant air) amplify the “scatter” of ultraviolet wavelengths and UV exposure within shade, which exacerbates urban conditions of shade as an “index of inequality” (Bloch 2019) and threatens public health. Exposure to indirect radiation correlates to the amount of sky visible from the position of an observer (Gies and Mackay 2004). The overall size of a shade structure, as well as the design of openings along its sides, can greatly impact the UV protection factor (UPF) (Turnbull and Parisi 2005). Shade, therefore, is more complex than ubiquitous urban and architectural “sun” and “shadow studies” are capable of representing, as such analyses flatten the three-dimensional nature of radiation exposure and are “blind” to the ultraviolet spectrum. “Safe shade” is contingent on the nuances of the surrounding built environment, and designers must be empowered to observe and respond to a wider context than current representational tools allow.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	caadria2019_127
id	caadria2019_127
authors	Nam, Hyunjae
year	2019
title	Programming Intelligent Architecture to be Responsive to Real-Time Data
doi	https://doi.org/10.52842/conf.caadria.2019.2.273
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 273-282
summary	This study examines the development of intelligent architecture capable of reading real-time data and controlling spatial configurations accordingly. In terms of responsiveness at an architectural scale, it is questionable whether an architectural system can adapt or adjust its spatial configurations to the time-based changes of social activities. The urban open data movement allows individuals to navigate or measure real-time occurrences in cities, and such data can be used to accommodate users' demands for social space. Exploiting urban open data, the design experiment focused on extracting data pertaining to real occurrences of social activities and weather conditions in a city, setting an algorithm mapping the sequence from the data to architectural behaviours, and simulating the architectural model in real time. By means of proposing a design strategy, this research contributes to cross-disciplinary approaches to developing smart buildings and cities.
keywords	real-time data; urban open data; weather API; architectural responsiveness
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	lasg_whitepapers_2019_319
id	lasg_whitepapers_2019_319
authors	Shahi, Sheida
year	2019
title	Adaptability in Residential Adaptive Reuse
source	Living Architecture Systems Group White Papers 2019 [ISBN 978-1-988366-18-0] Riverside Architectural Press: Toronto, Canada 2019. pp.319 - 326
summary	This research complements existing LASG focuses on experimental constructional systems, especially relating to the LASG Scaffolds stream. Finding feasible and applicable strategies for improving resilience and empowering adaptability in the built environment are the objectives of this research and are aligned with the long-term objectives of the LASG. Residential adaptive reuse and ideas of adaptability integrated within the refurbishment of existing residential buildings will be examined in this paper. The potential for existing buildings to be extended and renewed by repurposing and adjusting outer layers of envelope and balconies will be addressed. Within the Scaffolds stream, a main focus is on the constructional systems and spatial qualities of envelopes and skeleton systems that will be needed to support dynamic movement and programming with multiple functions. This research contributes to a practical base that can provide opportunities to implement LASG systems at full public scale.
keywords	living architecture systems group, organicism, intelligent systems, design methods, engineering and art, new media art, interactive art, dissipative systems, technology, cognition, responsiveness, biomaterials, artificial natures, 4DSOUND, materials, virtual projections,
email
last changed	2019/07/29 14:02

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

_id	ecaadesigradi2019_417
id	ecaadesigradi2019_417
authors	Weissenböck, Renate and Symeonidou, Ioanna
year	2019
title	Anatomy of a Building - Introducing interactive RGB lenses for architectural data visualization
doi	https://doi.org/10.52842/conf.ecaade.2019.1.739
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. 739-748
summary	The paper proposes an alternative way to present architectural information, using color filters - specifically RGB lenses - as an interface to emphasize or reveal the internal structure or hidden logic of an architectural artifact. In an interplay of analogue and digital techniques, it employs rules of color blocking in order to highlight certain aspects of complex buildings, urban plans, or interiors, which cannot be discovered using conventional visualization methods. In this research, the authors developed an interactive RGB lens-interface and techniques for superimposed color visualizations that can be used for an enhanced visualization of the internal structure of a building. By applying physical or digital color lenses, viewers can perceive individual layers of project visualizations, in order to understand certain tectonic or construction logics, such as skin, structure or infrastructure. Based on existing bibliography, the paper presents the workflow from drawing, 3D model or photograph to RGB visualization, through a series of test case scenarios applicable to the field of architecture and design.
keywords	architectural visualization; color & light; subtractive color mixing; RGB lenses; post-digital; building anatomy
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:58

_id	caadria2019_100
id	caadria2019_100
authors	Xu, Jianan and Li, Biao
year	2019
title	Searching on Residential Architecture Design based on Integer Programming
doi	https://doi.org/10.52842/conf.caadria.2019.1.263
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. 263-270
summary	This paper describes an approach to using integer programming algorithms for computer-aided architecture design, taking residential buildings as an example. The research realized the dense arrangement of multiple shape templates in a certain domain of orthogonal grids. In addition, combined with the topological relationship of building functions, a single-story residential building layout is generated. The architectural design problems at different levels are solved by changing the objective function and restrictions in the integer programming algorithm. The algorithm can be expanded and employed to other fields of architecture, and may provide new architectural methodologies.
keywords	Generative Design; Architectural layout planning; Integer Programming; Topology
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	cdrf2021_286
id	cdrf2021_286
authors	Yimeng Wei, Areti Markopoulou, Yuanshuang Zhu,Eduardo Chamorro Martin, and Nikol Kirova
year	2021
title	Additive Manufacture of Cellulose Based Bio-Material on Architectural Scale
doi	https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_27
source	Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)
summary	There are severe environmental and ecological issues once we evaluate the architecture industry with LCA (Life Cycle Assessment), such as emission of CO2 caused by necessary high temperature for producing cement and significant amounts of Construction Demolition Waste (CDW) in deteriorated and obsolete buildings. One of the ways to solve these problems is Bio-Material. CELLULOSE and CHITON is the 1st and 2nd abundant substance in nature (Duro-Royo, J.: Aguahoja_ProgrammableWater-based Biocomposites for Digital Design and Fabrication across Scales. MIT, pp. 1–3 (2019)), which means significantly potential for architectural dimension production. Meanwhile, renewability and biodegradability make it more conducive to the current problem of construction pollution. The purpose of this study is to explore Cellulose Based Biomaterial and bring it into architectural scale additive manufacture that engages with performance in the material development, with respect to time of solidification and control of shrinkage, as well as offering mechanical strength. At present, the experiments have proved the possibility of developing a cellulose-chitosan- based composite into 3D-Printing Construction Material (Sanandiya, N.D., Vijay, Y., Dimopoulou, M., Dritsas, S., Fernandez, J.G.: Large-scale additive manufacturing with bioinspired cellulosic materials. Sci. Rep. 8(1), 1–5 (2018)). Moreover, The research shows that the characteristics (Such as waterproof, bending, compression, tensile, transparency) of the composite can be enhanced by different additives (such as xanthan gum, paper fiber, flour), which means it can be customized into various architectural components based on Performance Directional Optimization. This solution has a positive effect on environmental impact reduction and is of great significance in putting the architectural construction industry into a more environment-friendly and smart state.
series	cdrf
email
last changed	2022/09/29 07:53

_id	ijac201917206
id	ijac201917206
authors	Ackerman, Aidan; Jonathan Cave, Chien-Yu Lin and Kyle Stillwell
year	2019
title	Computational modeling for climate change: Simulating and visualizing a resilient landscape architecture design approach
source	International Journal of Architectural Computing vol. 17 - no. 2, 125-147
summary	Coastlines are changing, wildfires are raging, cities are getting hotter, and spatial designers are charged with the task of designing to mitigate these unknowns. This research examines computational digital workflows to understand and alleviate the impacts of climate change on urban landscapes. The methodology includes two separate simulation and visualization workflows. The first workflow uses an animated particle fluid simulator in combination with geographic information systems data, Photoshop software, and three-dimensional modeling and animation software to simulate erosion and sedimentation patterns, coastal inundation, and sea level rise. The second workflow integrates building information modeling data, computational fluid dynamics simulators, and parameters from EnergyPlus and Landsat to produce typologies and strategies for mitigating urban heat island effects. The effectiveness of these workflows is demonstrated by inserting design prototypes into modeled environments to visualize their success or failure. The result of these efforts is a suite of workflows which have the potential to vastly improve the efficacy with which architects and landscape architects use existing data to address the urgency of climate change.
keywords	Modeling, simulation, environment, ecosystem, landscape, climate change, sea level rise, urban heat island
series	journal
email
last changed	2019/08/07 14:04

_id	ijac201917105
id	ijac201917105
authors	Agkathidis, Asterios; Yorgos Berdos and André Brown
year	2019
title	Active membranes: 3D printing of elastic fibre patterns on pre-stretched textiles
source	International Journal of Architectural Computing vol. 17 - no. 1, 74-87
summary	There has been a steady growth, over several decades, in the deployment of fabrics in architectural applications; both in terms of quantity and variety of application. More recently, three-dimensional printing and additive manufacturing have added to the palette of technologies that designers in architecture and related disciplines can call upon. Here, we report on research that brings those two technologies together – the development of active membrane elements and structures. We show how these active membranes have been achieved by laminating three-dimensional printed elasto-plastic fibres onto pre-stretched textile membranes. We report on a set of experimentations involving one-, two- and multi-directional geometric arrangements that take TPU 95 and polypropylene filaments and apply them to Lycra textile sheets, to form active composite panels. The process involves a parameterised design, actualised through a fabrication process including stress-line simulation, fibre pattern three-dimensional printing and the lamination of embossed patterns onto a pre-stretched membrane; followed by the release of tension afterwards in order to allow controlled, self-generation of the final geometry. Our findings document the investigation into mapping between the initial two-dimensional geometries and their resulting three-dimensional doubly curved forms. We also reflect on the products of the resulting, partly serendipitous, design process.
keywords	Digital fabrication, three-dimensional printing, parametric design, material computation, fabrics
series	journal
email
last changed	2019/08/07 14:04

_id	acadia19_630
id	acadia19_630
authors	Ahlquist, Sean
year	2019
title	Expanding the Systematic Agencyof a Material System
doi	https://doi.org/10.52842/conf.acadia.2019.630
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. 630-641
summary	Computational design and fabrication have reached an accomplished level of ubiquity and proficiency in the field of architecture, in both academia and practice. Materiality driving structure, responsiveness, and spatial organization can be seen to evolve, in kind, with the capabilities to fabricate deeper material hierarchies. Such maturity of a procedural material-driven approach spurs a need to shift from the dictations of how to explorations of why material efficiencies, bespoke aesthetics, and performativity are critical to a particular architecture, requiring an examination of linkages between approach, techniques, and process. The material system defines a branch of architectural research utilizing bespoke computational techniques to generate performative material capacities that are inextricably linked to both internal and external forces and energies. This paper examines such a self-referential view to define an expanded ecological approach that integrates new modes of design agency and shift the material system from closed-loop relationship with site to open-ended reciprocation with human behavior. The critical need for this capacity is shown in applications of novel textile hybrid material systems—as sensorially-responsive environments for children with the neurological autism spectrum disorder—in ongoing research titled Social Sensory Architectures. Through engaging fabrication across all material scales, manners of elastic responsivity are shown, through a series of feasibility studies, to exhibit a capacity for children to become design agents in exploring the beneficial interrelationship of sensorimotor agency and social behavior. The paper intends to contribute a theoretical approach by which novel structural capacities of a material system can support a larger ecology of social and behavioral agency.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:54

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