Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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

_id	ecaadesigradi2019_498
id	ecaadesigradi2019_498
authors	Bermek, Mehmet Sinan, Shelden, Dennis and Gentry, T. Russel
year	2019
title	A Holistic Approach to Feature-based Structural Mapping in Cross Laminated Timber Buildings
doi	https://doi.org/10.52842/conf.ecaade.2019.2.789
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. 789-796
summary	Mass Engineered Timber products provide a unique opportunity in configuring panelized building systems that are suitable for both prefabrication and onsite customization. The structural nature of these large section elements also brings about the need for a coordinated design-fabrication-assembly workflow. These products can assume different geometric configurations and their behaviour can be approximated globally by simplifying framing schemas. Current BIM Interoperability standards such as STEP or IFC already acknowledge and support the interconnected nature of component properties, yet these Data Models are component focused. Expanding on the relationships between components and using sets to define part to whole, or exteriority relationships could yield a more flexible and agile querying of building information.This would be a framework fit for automated feature derivation and rule based design applications. To this end Graph structures and Graph Databases, alongside existing ontology authoring tools are studied to probe new cognitive possibilities in collaborative AEC workflows
keywords	Graph theory; BIM; CLT; IFC
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

_id	caadria2019_365
id	caadria2019_365
authors	Natephra, Worawan and Motamedi, Ali
year	2019
title	BIM-based Live Sensor Data Visualization using Virtual Reality for Monitoring Indoor Conditions
doi	https://doi.org/10.52842/conf.caadria.2019.2.191
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. 191-200
summary	This paper proposes a method for an automated live sensor data visualization of building indoor environment conditions using a VR system. The proposed method is based on the integration of environmental sensors, BIM, and VR technology. Such integration provides an opportunity to utilize an immersive and live sensing technology for improving data visualization. In our case study, the environmental data, such as indoor air temperature, humidity, and light level are captured by sensors connected to Arduino microcontrollers. The data output of sensors obtained from Arduino units are stored onto the BIM model and transferred to the developed VR system. The developed system simultaneously visualizes numerical values of sensors' reading together with the virtual model of the building in a VR headset. The result of the case study showed that the developed system is capable of visualizing various indoor environmental information of the building with the VR technology. It can provide users with useful information to help monitoring indoor thermal comfort conditions of the building in real-time, while performing the walkthrough in the virtual environment.
keywords	Building Information Modeling (BIM); environmental sensor; thermal comfort; Virtual Reality (VR); Arduino; IoT
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	sigradi2023_234
id	sigradi2023_234
authors	Santos, Ítalo, Andrade, Max, Zanchettin, Cleber and Rolim, Adriana
year	2023
title	Machine learning applied in the evaluation of airport projects in Brazil based on BIM models
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 875–887
summary	In a country with continental dimensions like Brazil, air transport plays a strategic role in the development of the country. In recent years, initiatives have been promoted to boost the development of air transport, among which the BIM BR strategy stands out, instituted by decree n-9.983 (2019), decree n-10.306 (2020) and more recently, the publication of the airport design manual (SAC, 2021). In this context, this work presents partial results of a doctoral research based on the Design Science Research (DSR) method for the application of Machine Learning (ML) techniques in the Artificial Intelligence (AI) subarea, aiming to support SAC airport project analysts in the phase of project evaluation. Based on a set of training and test data corresponding to airport projects, two ML algorithms were trained. Preliminary results indicate that the use of ML algorithms enables a new scenario to be explored by teams of airport design analysts in Brazil.
keywords	Airports, Artificial intelligence, BIM, Evaluation, Machine learning.
series	SIGraDi
email
last changed	2024/03/08 14:07

_id	caadria2019_535
id	caadria2019_535
authors	Song, Jaeyeol, Kim, Jinsung and Lee, Jin-Kook
year	2019
title	Converting KBimCode into an Executable Code for the Automated Design Rule Checking System
doi	https://doi.org/10.52842/conf.caadria.2019.1.795
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. 795-804
summary	This research aims to describe an implementation approach for a translator of KBimCode as a part of a BIM-enabled automated design rule checking system. KBimCode is an explicit and computer-readable form written in a scripting language to represent Korea Building Act sentences. KBimCode separates the rule-making process that conventionally dependent on rule-checking software. Based on the approach, KBimCode implemented with its own logic rule components and has been managed with the database. On the other hand, there are several rule-checking software executed with their own rule set. Translating natural language rules into the rule set of each software and translating a rule of specific software into others require a lot of manual effort. The manual translation also hinders interoperability between rule checking software. We address the problem with developing the KBimCode translator for each rule checking software. In this research, we focused on translating KBimCode into an executable code of specific rule checking software, named KBimAssess. KBimCode translator will integrate the rule-making and rule-checking process, which means various stakeholders, even who are not familiar with programming, can easily conduct BIM-enabled rule checking by utilizing KBimCode. Furthermore, the implementation of KBimCode translator is expected to contribute to the enhancement of interoperability between various rule-checking applications.
keywords	Automated design rule checking; Building information modeling (BIM); Executable code; Language translator; KBimCode
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	cf2019_004
id	cf2019_004
authors	Kim, Jinsung; Jaeyeol Song and Jin-Kook Lee
year	2019
title	Recognizing and Classifying Unknown Object in BIM using 2D CNN
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 23
summary	This paper aims to propose an approach to automated classifying building element instance in BIM using deep learning-based 3D object classification algorithm. Recently, studies related to checking or validating engine of BIM object for ensuring data integrity of BIM instances are getting attention. As a part of this research, this paper train recognition models that are targeted at basic building element and interior element using 3D object recognition technique that uses images of objects as inputs. Object recognition is executed in two stages; 1) class of object (e.g. wall, window, seating furniture, toilet fixture and etc.), 2) sub-type of specific classes (e.g. Toilet or Urinal). Using the trained models, BIM plug-in prototype is developed and the performance of this AI-based approach with test BIM model is checked. We expect this recognition approach to help ensure the integrity of BIM data and contribute to the practical use of BIM.
keywords	3D object classification, Building element, Building information modeling, Data integrity, Interior element
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	ecaadesigradi2019_613
id	ecaadesigradi2019_613
authors	Guedes, Ítalo and Andrade, Max
year	2019
title	Automatic Rule-Based Checking for the Approval of Building Architectural Designs of Airport Passenger Terminals based on BIM
doi	https://doi.org/10.52842/conf.ecaade.2019.2.333
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. 333-338
summary	In Brazil, the evaluation processes of building architectural designs of Airports Passenger Terminal (PT) are carried out manually. It depends on the architects' knowledge, leading to possible errors. On the other hand, the rule checking in BIM-modeled building projects opens up new horizons for this type of activity. Based on Code Checking concepts, this paper presents a method for automating rule checking for building code in building architectural design of PT. Following the aspects of Design Science Research, it is developed in two stages: Construction (theoretical foundation, creating rule checking for the PT, implementation of the rules in BIM softwares for code checking and validation) and Evaluation of artefact. This paper shows a series of problems resulting from the evaluation of PT using traditional methods. It can be concluded that the use of rules for regulatory code checking with BIM allows standardization in the evaluation of architectural design of PT.
keywords	Code Checking; Passenger Terminal; Building Information Modeling; Rule checking
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

_id	caadria2019_546
id	caadria2019_546
authors	Holzer, Dominik
year	2019
title	Teaching Computational Design and BIM in the Age of (Semi)flipped Classrooms
doi	https://doi.org/10.52842/conf.caadria.2019.2.715
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. 715-724
summary	With academic curricula for architectural education increasingly packed with new and expanding fields of inquiry, questions emerge on how to incorporate the ever-growing number of subjects that tackle the use of computational tools for design and delivery. This paper analyses approaches to blended learning under a semi-flipped classroom model where learning content gets divided into complementary in-class and online components. The author describes the epistemological challenges in curating the blended-learning mix and discusses ways to optimise learning outcomes while minimising the effort for custom content-development of training material. Two subjects taught at the author's home institution (one in Computational Design and the other for BIM education) serve as case studies to test the flipped classroom approach and to derive feedback from students about their preferred method of delivery.
keywords	BIM; Flipped-Classroom; Computational Design; Education; Online learning
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	acadia19_438
id	acadia19_438
authors	Jahn, Gwyllim; Wit, Andrew John; Pazzi, James
year	2019
title	[BENT]
doi	https://doi.org/10.52842/conf.acadia.2019.438
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. 438-447
summary	Over the past two decades, advances in computation, digital fabrication, and robotics have opened up new avenues for the design and production of complex forms, emergent processes, as well as new levels of efficiency. Many of these methods, however, tend to focus on a specific tool, such as the industrial robotic arm. Due to their initial costs and space/power/safety requirements, difficulties associated in creating automated workflows and custom tooling, as well as the need for reliable/repeatable procedures, these tools are often out of reach for the average designer or design institution. Additionally, these tools are typically treated as methods of production rather than collaborators, leaving outcomes that can feel void of craft, with the appearance of a typical CNC-machined object. Rather than focusing on a specific production tool for manufacturing, this paper investigates a novel method for holographic handcraft-based production. This holographic augmentation—of simple and easily attainable analog tool sets—allows for the creation of extremely complex forms with high levels of precision in extremely short time frames. Through the lens of the recently completed steam-bent timber installation [BENT] produced at the Tyler School of Art, this paper discusses how Microsoft HoloLens in conjunction with the Fologram software plug-in can be integrated into the entirety of design and production processes as a means of producing a new typology of digital craft.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:52

_id	ecaadesigradi2019_447
id	ecaadesigradi2019_447
authors	Jutraž, Anja, Kukec, Andreja, Otorepec, Peter, Lampiè, Ladi, Pohleven, Jure, Sandak, Jakub, Malovrh, Katja and Varkonji Sajn, Monika
year	2019
title	Monitoring Environmental and Health Impact Data in BIM Models to Assure Healthy Living Environments
doi	https://doi.org/10.52842/conf.ecaade.2019.2.287
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. 287-294
summary	Health is our wealth and we are rarely aware that the choice of living and working environment affects us. We spend most of our time in indoor environments so the quality of indoor air plays an important role in the maintenance of health and well-being. Moreover, Building Information Modeling (BIM) is emerging technology, which plays an essential role in collaboration among multi-discipline professions, time and cost saving, fabrication and construction as well as facilities management. However, it is not accepted by all planners yet. BIM could also offer a framework to help improving health and well-being of future users of the new building. The main aim of this paper is to monitor environmental and health impact data in BIM models to assure healthy living environments. First, the paper explores which environmental and health parameters could be measured in the indoor environment and which are already present in BIM models. Second, it explores options to expand BIM specifications to support monitoring environmental and health impact data in BIM models to assure healthy living environments.
keywords	Building Information Modeling (BIM); environmental impact data; indoor comfort; health impact data; healthy living environment
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

_id	caadria2019_290
id	caadria2019_290
authors	Ma, Chenlong, Zhu, Shuyan and Xiang, Ke
year	2019
title	Digital Aided FaÃ§ade Design Introduced in a Traditional Design Workflow - An experience from one large-scale museum design and construction practice
doi	https://doi.org/10.52842/conf.caadria.2019.1.675
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. 675-684
summary	This paper discusses the opportunities and barriers of adopting parametric tools in discrete elements of the design development documentation processes in parallel with more traditional 2D computer aided architectural design (CAAD). We believe it is a more reasonable way for small to middle sized design companies in China, to introduce parametric design method into the design and construction process, especially when there being a long way from traditional CAAD approach to an all-BIM future in China.
keywords	parametric tools; collaborative design; faÃ§ade design
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2019_040
id	caadria2019_040
authors	Matsubayashi, Michio
year	2019
title	Method for Finding Elements Similar to Those Causing Building Component Failure Based on Building Information Models
doi	https://doi.org/10.52842/conf.caadria.2019.2.021
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. 21-30
summary	In this study, we propose a method for finding elements similar to those that cause failure based on the spatial information and properties of the building component network in building information models (BIMs). As an example of failure, we selected the degradation of fittings such as doors. The developed process was performed using a BIM software package. First, we identified elements that had experienced failure based on past repair records. Then, similar elements were found based on information for a door class obtained from the selected element. Finally, the elements were filtered using either spatial or attribute information, and the results were exported as a comma-separated values file. An operation that adds other information to the attribute information of the elements extracted from the BIM is also proposed. After a sufficient number of items were identified, elements similar to the failed elements are identified by sorting.
keywords	Building Information Model; Existing Buildings; Preventive Maintenance; Spatial Information; Attribute Information
series	CAADRIA
email
last changed	2022/06/07 07:58

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

_id	caadria2019_103
id	caadria2019_103
authors	Silva, Lilian, Silva, Neander and Lacroix, Igor
year	2019
title	Integrating Parametric Modeling with BIM through Generative Programming for the production of NURBS Surfaces and Structures
doi	https://doi.org/10.52842/conf.caadria.2019.1.635
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. 635-644
summary	A workflow for integration of parametric modeling with BIM, using generative-programming, is described and tested in this research. The objective is to take advantage of these two distinctive design paradigms. This paper describes a design experiment that required a NURBS roof generated by sweeping profiles along a curved path. We assumed the use of multiple applications, using various file formats, are facts and are unlikely to disappear. Given that interoperability issues will certainly arise, we propose and test a design workflow using parametric modeling, generative programming, and building information modeling. Our major contribution was defining a workflow for designing NURBS surfaces and corresponding supporting structures enhancing interoperability among different applications through generative-programming.
keywords	NURBS; Parametric; Programming; Interoperability; BIM
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaadesigradi2019_409
id	ecaadesigradi2019_409
authors	Ulkucu, Yigitcan and Alacam, Sema
year	2019
title	A Decision Support Framework for FLP in the Context of Industrial Facilities by the Use of BIM
doi	https://doi.org/10.52842/conf.ecaade.2019.2.269
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. 269-278
summary	In today's industrial production environment, an effective solution to the FLP (Facility Layout Problem) plays a significant role in deciding whether a facility will hold a competitive advantage against others by its improved workflow. This advantage comes from an efficient placement of facilities, which mostly contributes to the overall business performance. In addition to that, regarding the need to answer the demands of the dynamic market, facilities need to adapt their processes and adapt their production line as quickly as possible. Therefore, a continuous search for a solution to the FLP is present. Although there are many space allocation programs available both as academic and commercial products, present approaches' availability in the BIM environment is not common yet. This paper introduces a decision support system framework which uses Non-Dominated Sorting Genetic Algorithm-II (NSGA-II) to generate the most appropriate solution in Revit Dynamo environment both in the earlier phases of design and through the life-cycle of the facility. The proposed framework will specifically be responsible for generating solutions for equipment location in serial production facilities. As NSGA-II is a Multi-Objective Evolutionary Algorithm (MOEA), a second optimization criterion is defined as the optimization of the foreman's locations distributed on the shop floor. A Dynamo package named Refinery will hold the optimization and evaluation procedures.
keywords	Facility Layout Problems; NSGA-II; Automated Space Layout
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:57

_id	sigradi2020_392
id	sigradi2020_392
authors	Fialho, Beatriz Campos; Codinhoto, Ricardo; Fabricio, Márcio Minto
year	2020
title	BIM and IoT for the AEC Industry: A systematic literature mapping
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 392-399
summary	The AEC industry has been facing a digital transformation for improving services involved in buildings lifecycle, fostered by two disruptive technologies: Building Information Modelling (BIM) and Internet of Things (IoT). However, the literature lacks discussions regarding applications and challenges of BIM and IoT systems in the AEC. This Systematic Literature Mapping addresses this gap through search, analysis, and classification of 75 journal article abstracts published between 2015 and 2019. An increase of articles over the period is observed, predominantly with technical and processual solutions for Construction and Operation and Maintenance. The interoperability of data is a key challenge to organizations.
keywords	Building Information Modelling, Internet of Things, Integration, Network, Smart Cities
series	SIGraDi
email
last changed	2021/07/16 11:49

_id	ecaadesigradi2019_078
id	ecaadesigradi2019_078
authors	Kim, Eonyong, Jeon, Hyunwoo, Jun, Hanjong and Lee, Seongjoon
year	2019
title	The Development of Architectural Design Environment for BIPV using BIM
doi	https://doi.org/10.52842/conf.ecaade.2019.1.223
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. 223-232
summary	BIPV is a building integrated photovoltaic power generation system, which is used for building finishing materials, roof, and wall, so there is no need for separate installation space, and the usability is continuously increasing in urban areas with relatively small installation space. And continues to increase. BIPV is a building-integrated type, but the application plan should be made from the early stage of design. However, there is a lack of BIPV related design information. As a result, the possibility of integrating BIPV and building design is reduced and BIPV is applied in a limited range. Method: BIM-based BIPV design process, BIPV installable location, BIPV elevation design factor. And the theory necessary to implement the support model. Lastly, usability was examined using the support model. Result: This study describes a BIM-based design support model for BIPV installed elevation design that designers can apply BIPV installation location planning and design in a BIM environment.
keywords	Building Integrated Photovoltaic System ; Building Information Modelling ; Shadow Analysis ; Array design
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

_id	cf2019_011
id	cf2019_011
authors	Silva, Lilian; Neander Silva and Igor Lacroix
year	2019
title	Interoperability Workflow Method for Designing NURBS Surfaces and Structures with Generative Programming
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 88-100
summary	The workflow for integration of parametric modeling with BIM is using generative-programming described and tested in this research. The workflow aims to take advantage of these two distinctive design paradigms. This paper describes a design experiment that called for a NURBS roof generated by sweeping profiles along a curved path. Computer applications in the field of architecture are often based on a diverse range of design paradigms. We assumed the use of multiple applications, using various file formats, are facts and are unlikely to disappear. Given that interoperability issues will certainly arise, in this article, we propose and test a design workflow using parametric modeling, generative programming, and building information modeling. Our objective is to test the efficiency and improve upon the compatibility between Parametric-Algorithmic-Design and BIM applications. Our major contribution was defining a workflow for designing NURBS surfaces and corresponding supporting structures enhancing interoperability among different applications through generative-programming.
keywords	NURBS, Parametrics, Programming, Interoperability, BIM
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	ecaadesigradi2019_605
id	ecaadesigradi2019_605
authors	Andrade Zandavali, Bárbara and Jiménez García, Manuel
year	2019
title	Automated Brick Pattern Generator for Robotic Assembly using Machine Learning and Images
doi	https://doi.org/10.52842/conf.ecaade.2019.3.217
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 217-226
summary	Brickwork is the oldest construction method still in use. Digital technologies, in turn, enabled new methods of representation and automation for bricklaying. While automation explored different approaches, representation was limited to declarative methods, as parametric filling algorithms. Alternatively, this work proposes a framework for automated brickwork using a machine learning model based on image-to-image translation (Conditional Generative Adversarial Networks). The framework consists of creating a dataset, training a model for each bond, and converting the output images into vectorial data for robotic assembly. Criteria such as: reaching wall boundary accuracy, avoidance of unsupported bricks, and brick's position accuracy were individually evaluated for each bond. The results demonstrate that the proposed framework fulfils boundary filling and respects overall bonding structural rules. Size accuracy demonstrated inferior performance for the scale tested. The association of this method with 'self-calibrating' robots could overcome this problem and be easily implemented for on-site.
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	caadria2019_657
id	caadria2019_657
authors	Chen, Zhewen, Zhang, Liming and Yuan, Philip F.
year	2019
title	Innovative Design Approach to Optimized Performance on Large-Scale Robotic 3D-Printed Spatial Structure
doi	https://doi.org/10.52842/conf.caadria.2019.2.451
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. 451-460
summary	This paper presents an innovative approach on designing large-scale spatial structure with automated robotic 3D-printing. The incipient design approach mainly focused on optimizing structural efficiency at an early design stage by transform the object into a discrete system, and the elements in this system contains unique structural parameters that corresponding to its topology results of stiffness distribution. Back in 2017, the design team already implemented this concept into an experimental project of Cloud Pavilion in Shanghai, China, and the 3D-printed spatial structure was partitioned into five zones represent different level of structure stiffness and filled with five kinds of unit toolpath accordingly. Through further research, an upgrade version, the project of Cloud Pavilion 2.0 is underway and will be completed in January 2019. A detailed description on innovative printing toolpath design in this project is conducted in this paper and explains how the toolpath shape effects its overall structural stiffness. This paper contributes knowledge on integrated design in the field of robotic 3D-printing and provides an alternative approach on robotic toolpath design combines with the optimized topological results.
keywords	3D-Printing; Robotic Fabrication; Structural Optimization; Discrete System; Toolpath Design
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2019_452
id	caadria2019_452
authors	Choi, Minkyu, Yi, Taeha, Kim, Meereh and Lee, Ji-Hyun
year	2019
title	Land Price Prediction System Using Case-based Reasoning
doi	https://doi.org/10.52842/conf.caadria.2019.1.767
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. 767-774
summary	Real estate price prediction is very complex process. Big data and machine learning technology have been introduced in many research areas, and they are also making such an attempt in the real estate market. Although real estate price forecasting studies is actively conducted, using support vector machine, machine learning algorithm, AHP method, and so on, validity and accuracy are still not reliable.In this research, we propose a Case-Based Reasoning system using regression analysis to allocate weight of attributes. This proposed system can support to predict the real estate price based on collecting public data and easily update the knowledge about real estate. Since the result shows error rate less than 30% through the experiment, this algorithm gives better performance than previous one. By this research, it is possible for help decision-makers to expect the real estate price of interested area.
keywords	Artificial intelligence; Case-based reasoning; Land price prediction; Regression
series	CAADRIA
email
last changed	2022/06/07 07:56

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