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	acadia17_52
id	acadia17_52
authors	Ajlouni, Rima
year	2017
title	Simulation of Sound Diffusion Patterns of Fractal-Based Surface Profiles
doi	https://doi.org/10.52842/conf.acadia.2017.052
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 52-61
summary	Acoustical design is one of the most challenging aspects of architecture. A complex system of competing influences (e.g., space geometry, size, proportion, material properties, surface detail, etc.) contribute to shaping the quality of the auditory experience. In particular, architectural surfaces affect the way that sound reflections propagate through space. By diffusing the reflected sound energy, surface designs can promote a more homogeneous auditory atmosphere by mitigating sharp and focused reflections. One of the challenges with designing an effective diffuser is the need to respond to a wide band of sound wavelengths, which requires the surface profile to precisely encode a range of detail sizes, depths and angles. Most of the available sound diffusers are designed to respond to a narrow band of frequencies. In this context, fractal-based surface designs can provide a unique opportunity for mitigating such limitations. A key principle of fractal geometry is its multilevel hierarchical order, which enables the same pattern to occur at different scales. This characteristic makes it a potential candidate for diffusing a wider band of sound wavelengths. However, predicting the reflection patterns of complicated fractal-based surface designs can be challenging using available acoustical software. These tools are often costly, complicated and are not designed for predicting early sound propagation paths. This research argues that writing customized algorithms provides a valuable, free and efficient alternative for addressing targeted acoustical design problems. The paper presents a methodology for designing and testing a customized algorithm for predicting sound diffusion patterns of fractal-based surfaces. Both quantitative and qualitative approaches were used to develop the code and evaluate the results.
keywords	design methods; information processing; simulation & optimization; data visualization
series	ACADIA
email
last changed	2022/06/07 07:54

_id	acadia17_110
id	acadia17_110
authors	Arnowitz, Ethan; Morse, Christopher; Greenberg, Donald P.
year	2017
title	vSpline: Physical Design and the Perception of Scale in Virtual Reality
doi	https://doi.org/10.52842/conf.acadia.2017.110
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 110-117
summary	Virtual reality provides a heightened sense of immersion and spatial awareness that provides a unique opportunity for designers to perceive and evaluate scale and space. At the same time, traditional sketches and small-size physical models provide tactile feedback that allow designers to create, comprehend, and explore complex geometric relationships. Through the development of vSpline, a modeling application for virtual reality, we explore the potential for design within a virtual spatial environment to blur the boundaries between digital and physical stages of design, and seek to combine the best of both virtual and analog worlds. By using spline-based closed meshes created directly in three-dimensional space, our software provides the capabilities to design, modify, and save the information in the virtual world and seamlessly convert the data to evaluate the printing of 3D physical models. We identify and discuss important questions that arise regarding relationships of perception of scale, digital-to-physical domains, and new methods of input and manipulation within a 3D immersive space.
keywords	design methods; information processing; hci; vr; ar; mixed reality; digital craft; manual craft
series	ACADIA
email
last changed	2022/06/07 07:54

_id	acadia17_552
id	acadia17_552
authors	Sjoberg, Christian; Beorkrem, Christopher; Ellinger, Jefferson
year	2017
title	Emergent Syntax: Machine Learning for the Curation of Design Solution Space
doi	https://doi.org/10.52842/conf.acadia.2017.552
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 552- 561
summary	The expanding role of computational models in the process of design is producing exponential growth in parameter spaces. As designers, we must create and implement new methods for searching these parameter spaces, considering not only quantitative optimization metrics but also qualitative features. This paper proposes a methodology that leverages the pattern modeling properties of artificial neural networks to capture designers' inexplicit selection criteria and create user-selection-based fitness functions for a genetic solver. Through emulation of learned selection patterns, fitness functions based on trained networks provide a method for qualitative evaluation of designs in the context of a given population. The application of genetic solvers for the generation of new populations based on the trained network selections creates emergent high-density clusters in the parameter space, allowing for the identification of solutions that satisfy the designer’s inexplicit criteria. The results of an initial user study show that even with small numbers of training objects, a search tool with this configuration can begin to emulate the design criteria of the user who trained it.
keywords	design methods; information processing; AI; machine learning; generative system
series	ACADIA
email
last changed	2022/06/07 07:56

_id	acadia17_660
id	acadia17_660
authors	Zivkovic, Sasa; Battaglia, Christopher
year	2017
title	Open Source Factory: Democratizing Large-Scale Fabrication Systems
doi	https://doi.org/10.52842/conf.acadia.2017.660
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 660- 669
summary	Open source frameworks have enabled widespread access to desktop-scale additive manufacturing technology and software, but very few highly hackable large-scale or industrial open source equipment platforms exist. As research trajectories continue to move towards large-scale experimentation and full-scale building construction in robotic and digital fabrication, access to industrial fabrication equipment is critical. Large-scale digital fabrication equipment usually requires extensive start-up investments which becomes a prohibitive factor for open research. Expanding on the idea of the Fab Lab as well as the RepRap movement, the Open Source Factory takes advantage of disciplinary expertise and trans-disciplinary knowledge in construction machine design accumulated over the past decade. With the goal to democratize access to large-scale industrial fabrication equipment, this paper outlines the creation of two full-scale fabrication systems: a RepRap based large-scale 3-axis open source CNC gantry and a 6-axis industrial robot system based on a decommissioned KUKA KR200/2. Both machines offer radically different economic frameworks for implementing research in advanced full scale robotic fabrication into contexts of pedagogy, the research lab, practice, or small scale local building industry. This research demonstrates that such equipment can be implemented by building on the current knowledge base in the field. If industrial robots and other large-scale fabrication tools become accessible for all, the collective sharing of research and the development of new ideas in full-scale robotic building construction can be substantially accelerated.
keywords	education, society & culture; CAM; prototyping; construction/robotics; education; digital heritage
series	ACADIA
email
last changed	2022/06/07 07:57

_id	cf2017_415
id	cf2017_415
authors	Tschetwertak, Julia; Schneider, Sven; Hollberg, Alexander; Donath, Dirk; Ruth, Jürgen
year	2017
title	A Matter of Sequence: Investigating the Impact of the Order of Design Decisions in Multi-Stage Design Processes
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, p. 415.
summary	The design as a process is not a new topic in architecture, yet some theories are widely unexplored, such as the multi-stage decision-making (MD) process. This design method provides multiple solutions for one design problem and is characterized by design stages. By adding new building components in every stage, multiple solutions are created for each design solution from the previous stage. If the MD process is to be applied in architectural practice, fundamental and theoretical knowledge about it becomes necessary. This paper investigates the impact of sequence of design stages on the design solutions in the MD process. A basic case study provides the necessary data for comparing different sequences and gaining fundamental knowledge of the MD process. The study contains a parametric model for building generation, a parametric Life Cycle Assessment tool and an optimization mechanism based on Evolutionary Algorithms.
keywords	Multi-stage decision-making process, Design process, Life Cycle Performance, Design Automation
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	cf2017_249
id	cf2017_249
authors	Agirbas, Asli
year	2017
title	Teaching Design by Coding in Architecture Undergraduate Education: A Case Study with Islamic Patterns
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 249-258.
summary	Computer-aided design has found its role in the undergraduate education of architects, and presently design by coding is also gradually finding further prominence in accord with the increasing demand by students who wish to learn more about this topic. This subject is included in an integrated manner in some studio courses on architecture design in some schools, or it is taught separately in elsewhere. In terms of the separate course on coding, the principal difficulty is that actual applications of the method can rarely be included due to time limitations and the fact that it is conducted separately from the studio course on architecture. However, within the framework of the architectural education, in order to learn about the coding it is necessary to consider it along with the design process, and this versatile thinking can only be achieved by the application of the design. In this study, an elective undergraduate course is considered in the context of design and to yield a versatile thinking strategy while learning the language of visual programming. The course progressed under the theoretical framework of shape grammar from the design stage through to the digital fabrication process, and the experimental studies were carried out on the selected topic of Islamic pattern. A method was proposed to improve the productivity of such courses, and an evaluation of the results is presented.
keywords	Islamic Patterns, Shape Grammars, Architectural Education, Parametric Design, CAAD.
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	sigradi2017_064
id	sigradi2017_064
authors	Fonseca Motta, Silvio Romero; Ana Clara Moura Mourão, Ana Clara Moura Mourão, Suellen Roquete Ribeiro, Julia Marion Florencio Kato
year	2017
title	Simulation of Scenarios and Urban Analysis Using Parametric Modeling and Genetic Algorithm Based on Multicriteria Analysis
source	SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.434-440
summary	The present paper surveys a method of changing the adequacy level of variables in multicriteria analysis (MCA) using parametric modeling. The aim is to simulate if-then scenarios to support resilience designs. The case study is a MCA for Pampulha region, Belo Horizonte, Brazil. The parametric model was developed in Grasshopper software, and defines, by knowledge-driven, a set of weight for an increased environmental quality which generates an index of suitability for each territorial unit. The if-then simulation changes the level of adequacy of 3 variables using a genetic algorithm, which calculates new distribution patterns for the MCA adequacy level.
keywords	Multicriteria analysis; Parametric modeling; Genetic algorithm; Urban analysis; Scenario simulation.
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2017_210
id	ecaade2017_210
authors	Jimenez Garcia, Manuel, Soler, Vicente and Retsin, Gilles
year	2017
title	Robotic Spatial Printing
doi	https://doi.org/10.52842/conf.ecaade.2017.2.143
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 143-150
summary	There has been significant research into large-scale 3D printing processes with industrial robots. These were initially used to extrude in a layered manner. In recent years, research has aimed to make use of six degrees of freedom instead of three. These so called "spatial extrusion" methods are based on a toolhead, mounted on a robot arm, that extrudes a material along a non horizontal spatial vector. This method is more time efficient but up to now has suffered from a number of limiting geometrical and structural constraints. This limited the formal possibilities to highly repetitive truss-like patterns. This paper presents a generalised approach to spatial extrusion based on the notion of discreteness. It explores how discrete computational design methods offer increased control over the organisation of toolpaths, without compromising design intent while maintaining structural integrity. The research argues that, compared to continuous methods, discrete methods are easier to prototype, compute and manufacture. A discrete approach to spatial printing uses a single toolpath fragment as basic unit for computation. This paper will describe a method based on a voxel space. The voxel contains geometrical information, toolpath fragments, that is subsequently assembled into a continuous, kilometers long path. The path can be designed in response to different criteria, such as structural performance, material behaviour or aesthetics. This approach is similar to the design of meta-materials - synthetic composite materials with a programmed performance that is not found in natural materials. Formal differentiation and structural performance is achieved, not through continuous variation, but through the recombination of discrete toolpath fragments. Combining voxel-based modelling with notions of meta-materials and discrete design opens this domain to large-scale 3D printing. Please write your abstract here by clicking this paragraph.
keywords	discrete; architecture; robotic fabrication; large scale printing; software; plastic extrusion
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ecaade2023_227
id	ecaade2023_227
authors	Moorhouse, Jon and Freeman, Tim
year	2023
title	Towards a Genome for Zero Carbon Retrofit of UK Housing
doi	https://doi.org/10.52842/conf.ecaade.2023.2.197
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. 197–206
summary	The United Kingdom has some of the worst insulated housing stock in Northern Europe. This is in part due to the age of housing in the UK, with over 90% being built before 1990 [McCrone 2017, Piddington 2020]. Moreover, 85% of current UK housing will still be in use in 2050 by which stage their Government are targeting Net Carbon Zero [Eyre 2019]. Domestic energy use accounts for around 25% of UK carbon emissions. The UK will need to retrofit 20 million dwellings in order to meet this target. If this delivery were evenly spread, it would equate to over 2,000 retrofit completions each day. Government-funded initiatives are stimulating the market, with upwards of 60,000 social housing retrofits planned for 2023, but it is clear that a system must be developed to enable the design and implementation of housing-stock improvement at a large scale.This paper charts the 20-year development of a digital approach to the design for low-carbon domestic retrofit by architects Constructive Thinking Studio Limited and thence documents the emergence of a collaborative approach to retrofit patterns on a National scale. The author has led the Research and Development stream of this practice, developing a Building Information Modelling methodology and integrated Energy Modelling techniques to optimise design for housing retrofit [Georgiadou 2019, Ben 2020], and then inform a growing palette of details and a database of validated solutions [Moorhouse 2013] that can grow and be used to predict options for future projects [D’Angelo 2022]. The data is augmented by monitoring energy and environmental performance, enabling a growing body of knowledge that can be aligned with existing big data to simulate the benefits of nationwide stock improvement. The paper outlines incremental case studies and collaborative methods pivotal in developing this work The proposed outcome of the work is a Retrofit Genome that is available at a national level.
keywords	Retrofit, Housing, Zero-Carbon, BIM, Big Data, Design Genome
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2017_138
id	ecaade2017_138
authors	Nerla, Maria Giuditta, Erioli, Alessio and Garai, Massimo
year	2017
title	Modulated corrugations by differential growth - Integrated FRP tectonics towards a new approach to sustainability, fusing architectural and energy design for a new students’ space
doi	https://doi.org/10.52842/conf.ecaade.2017.2.593
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 593-602
summary	This Master Thesis research investigates the concept of 'integrated tectonics' as a new way of thinking sustainability in architecture, intended as an ecology of different, integrated factors which take part in a seamless design-to-fabrication process. In particular, this new paradigm is applied to the design of a pavilion made of a fiber-reinforced (FRP) sandwich shell integrating multiple systems and performances. A differential growth algorithm mimicking cellular tissue development modulates performance across the surface through ornamental features in the form of corrugated patterns. Iterative feedback simulations allow the exploration of the mutual relations connecting morphogenesis and performance distribution patterns at the architectural scale. Problems connected to simulation inaccuracies and difficult software integration are discussed. A 1:2 scale prototype of a shell portion was fabricated to test material properties and production feasibility.
keywords	Fiber-reinforced polymers (FRP); integrated tectonics; differential growth; composite materials; ecology; sustainability
series	eCAADe
email
last changed	2022/06/07 07:58

_id	ecaade2017_124
id	ecaade2017_124
authors	Pantazis, Evangelos and Gerber, David
year	2017
title	Emergent order through swarm fluctuations - A framework for exploring self-organizing structures using swarm robotics
doi	https://doi.org/10.52842/conf.ecaade.2017.1.075
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 75-84
summary	In modern architecture, construction processes are based on top down planning, yet in nature but also in vernacular architecture, the shape of shelters/nests is the result of evolutionary material processes which takes place without any global coordination or plan. This work presents a framework for exploring how self-organizing structures can be achieved in a bottom up fashion by implementing a swarm of simple robots(bristle bots). The robots are used as a hardware platform and operate in a modular 2D arena filled with differently shaped passive building blocks. The robots push around blocks and their behaviour can be programmed mechanically by changing the geometry of their body. Through physical experimentation and video analysis the relationships between the properties of the emergent patterns (size, temporal stability) and the geometry of the robot/parts are studied. This work couples a set of agent based design tools with a robust robotic system and a set of analysis tools for generating and actualising emergent 2D structures.
keywords	Multi Agent Systems; Generative Design; Swarm Robotics; Self-organizing patterns
series	eCAADe
email
last changed	2022/06/07 08:00

_id	caadria2017_189
id	caadria2017_189
authors	Reinhardt, Dagmar and Cabrera, Densil
year	2017
title	Randomness in Robotically Fabricated Micro-Acoustic Patterns
doi	https://doi.org/10.52842/conf.caadria.2017.853
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 853-862
summary	Randomness can introduce degrees of variation as part of a highly controlled design process, which can be of particular significance in the context of acoustic performance in architecture. This paper presents research into robotic fabrication of surfaces with acoustic micro-patterns that can change the acoustic response of space. It explores the design affordances for acoustically efficient 1:10 scale model prototypes, from parametric modeling to scale model production to physical evaluation. Acoustic reflective properties of surface patterns are investigated for scattering coefficients, in order to derive statistical data on acoustic properties of these surfaces, and to deduce design rules. The robotic subtractive process particularly invests variations and disturbances to originally coded fabrication sequences that lead to different pattern outcomes. Changes to protocols and workflows change the equations of design through shuffling of multiple criteria: from multiple sequences in a production process to intuitive impacts of the designer on a preset tooling and workpath; from computational design code to acoustic effect.
keywords	robotic subtractive manufacturing; micro-acoustic patterns; sound scattering; design thinking
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	ecaade2017_156
id	ecaade2017_156
authors	Tunçer, Bige and You, Linlin
year	2017
title	Informed Design Platform - Multi-modal Data to Support Urban Design Decision Making
doi	https://doi.org/10.52842/conf.ecaade.2017.2.545
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 545-552
summary	Evidence based urban design and planning support benefits from providing designers with multi-source, multi-scale and multi-time information, which is both 'big' and 'small', and quantitative and qualitative. We are developing a platform, namely Informed Design Platform, that adopts a (big) data driven approach to derive insights and principles in order to adaptively design or re-design various forms of urban public spaces based on usage patterns and perceptions of the public. This platform is designed using a four step methodology of data collection, integration, analysis, and visualization. Multi-source data is integrated based on three analysis dimensions: place, time and people; and four analysis pillars: utilization, activity, opinion and sensing. This paper describes the aims, the design principles, and partial results of development of this platform.
keywords	Evidence based urban design; Multi-modal data; Information modeling; Information visualization
series	eCAADe
email
last changed	2022/06/07 07:58

_id	acadia17_170
id	acadia17_170
authors	Byrne, Ultan
year	2017
title	Point-Cloud-Paint: A Software Tool for Speculative Urban Design Using Three-Dimensional Digital Collage
doi	https://doi.org/10.52842/conf.acadia.2017.170
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 170-177
summary	Beginning from a provocation in Auguste Blanqui’s Eternity by the Stars, this paper reports on a new methodology of digital collage for urban design. The research is situated relative to the current discourses surrounding both voxelization and point-cloud data structures in order to motivate the concept of a recombinant approach to design in existing cities. Building on these sources, and with reference to recent developments in mesh shape composition techniques, the paper presents the resulting software implementation “Point-Cloud-Paint”: a tool that enables collage-based combinatorial experimentation with urban point-cloud data.
keywords	simulation; representation; design methods; information processing
series	ACADIA
email
last changed	2022/06/07 07:54

_id	sigradi2017_079
id	sigradi2017_079
authors	Espina Bermúdez, Jane; Eugenia Di Bella
year	2017
title	Información, procesamiento y visualización de territorios complejos: Una aproximación desde las Tecnologías de Información para la enseñanza de la Arquitectura y Urbanismo [Information, processing and visualization of complex territories: An approach from Information Technologies for Architecture and Urbanism teaching]
source	SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.541-548
summary	This paper states a theoretical-conceptual proposal about recording, processing and visualization of the components about the complex territory "Laguna de Sinamaica" and its stilt-house añú habitat in Zulia state. Digital technologies will collaborate in planning and designing the reconstruction of territory’s temporary scenery in future interventions. Strategies for creativity, interactivity and communication in the design process and in reading comprehension of technical discourse of software in English are stated. Theoretical and methodological perspectives are applied in order to approach the study. Results: conceptualization and characterization of territory, habitat and housing; systematization of data and information of lake system.
keywords	Information, Territory, Habitat, Digital Technologies, Lagoon System
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2017_044
id	ecaade2017_044
authors	Fernando, Shayani, Reinhardt, Dagmar and Weir, Simon
year	2017
title	Simulating Self Supporting Structures - A Comparison study of Interlocking Wave Jointed Geometry using Finite Element and Physical Modelling Methods
doi	https://doi.org/10.52842/conf.ecaade.2017.2.177
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 177-184
summary	Self-supporting modular block systems of stone or masonry architecture are amongst ancient building techniques that survived unchanged for centuries. The control over geometry and structural performance of arches, domes and vaults continues to be exemplary and structural integrity is analysed through analogue and virtual simulation methods. With the advancement of computational tools and software development, finite and discrete element modeling have become efficient practices for analysing aspects for economy, tolerances and safety of stone masonry structures. This paper compares methods of structural simulation and analysis of an arch based on an interlocking wave joint assembly. As an extension of standard planar brick or stone modules, two specific geometry variations of catenary and sinusoidal curvature are investigated and simulated in a comparison of physical compression tests and finite element analysis methods. This is in order to test the stress performance and resilience provided by three-dimensional joints respectively through their capacity to resist vertical compression, as well as torsion and shear forces. The research reports on the threshold for maximum sinusoidal curvature evidenced by structural failure in physical modelling methods and finite element analysis.
keywords	Mortar-less; Interlocking; Structures; Finite Element Modelling; Models
series	eCAADe
email
last changed	2022/06/07 07:50

_id	caadria2017_135
id	caadria2017_135
authors	Kim, Hayan, Lee, Jin-Kook, Shin, Jaeyoung and Choi, Jungsik
year	2017
title	BIM-Supported Visual Language to Define Building Design Regulations
doi	https://doi.org/10.52842/conf.caadria.2017.603
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 603-612
summary	Growing number of Building Information Modeling (BIM) applications have supported the automated assessment of building design and its quality in the early phase of design. For increasing the accuracy and fineness of assessment, rule interpretations require logical base and standardization of analysis process. Therefore, some government-funded research projects have focused on this rule-making process separated from the rule-checking process. Specifically, KBimLogic is a logic rule-based mechanism designed for the building permit related rules in Korea Building Act sentences. As a com-puter-readable definition of a rule, KBimCode has been developed to be executed in actual rule-checking software. The limitation of such code is the visibility to the rule experts who are usually non- or novice programmers. This paper describes much intuitive way of defining and generating KBimCode through KBim Visual Language. User can easily query the building element and method through the immanent connection with KBimLogic database. By using the KBim Visual Language, various types of rules written in design guideline, international standardization, and national acts can be easily interpreted into computer-readable formats such as KBimCode in order to proceed with the automated rule-checking.
keywords	BIM (Building Information Modeling); Visual Language; Korea Building Act; Automated Design Process; Rule-making
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	sigradi2017_047
id	sigradi2017_047
authors	Pizzetti Mariano, Pedro Oscar; Alice Theresinha Cybis Pereira
year	2017
title	Desenvolvimento de partidos geométricos para construções verticais utilizando de geometrias complexas, ferramentas paramétricas e generativas [Development of geometric parties for vertical constructions using complex geometries, parametric and generative tools]
source	SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.322-327
summary	In order to provide a range of complex forms, justifiable to be selected in different aspects, the present work developed and evaluated a parametric and generative algorithm that allows to create diversified geometric options. The development of this work occurred in four stages, initially with the collection of information in the areas of architecture, parametric design and tools. Then the algorithm was developed with the aid of visual programming software. After, the geometric result was recreated in a physical model. Finally, we verified the potentialities of the use of the algorithm, and the use of a generative method.
keywords	Generative Architecture; Parameterization; Complex Geometry; Grasshopper.
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	ecaade2017_026
id	ecaade2017_026
authors	Renev, Ivan, Chechurin, Leonid and Perlova, Elena
year	2017
title	Early design stage automation in Architecture-Engineering-Construction (AEC) projects
doi	https://doi.org/10.52842/conf.ecaade.2017.1.373
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 373-382
summary	The paper is dedicated to conceptual design stage in AEC projects since this stage defines most of further design and even construction. Conceptual design is less automated and more human depended part of a complex design process. It is reasonable to link modern construction design software with ideas generation techniques in order to enhance and automate design creativity and effectiveness. In the article we propose computer-aided automation of searching for new conceptual ideas and nontrivial solutions during early design stage in AEC projects using such TRIZ tools as Function Modelling and Trimming in BIM technology. For description of our approach we consider framed buildings.
keywords	TRIZ; BIM; AEC; Function analysis; Trimming
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2017_252
id	ecaade2017_252
authors	Sharif, Shani, Agrawal, Varun and Sweet, Larry
year	2017
title	Adaptive Industrial Robot Control for Designers
doi	https://doi.org/10.52842/conf.ecaade.2017.2.151
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 151-158
summary	In this research, we present a system to allow designers to adaptively control an industrial robot from within a 3D modeling environment, for the purpose of real time feedback with respect to visual imagery of the object as well as robot pose during the fabrication process. Our work uses the Kuka industrial robots due to their capability in fabrication and programmability, and the Rhino 3D modeling software with the Grasshopper plugin which allows for visual programming for designers. A Microsoft Kinect sensor is used to provide visual feedback of the part during the fabrication process. We present the methodology used to develop the system, explaining various design and architecture choices made to allow for easy use of our system, while ensuring our system is open to further extension. We also show qualitative results of the fabrication process performed using our system in order to validate that our proposed system improves the interaction and collaboration between designer and robot when performing the task, in contrast to the iterative process that is generally followed.
keywords	Human-robot collaboration; Robotic fabrication; Adaptive control; Feedback
series	eCAADe
email
last changed	2022/06/07 07:56

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