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	cf2017_349
id	cf2017_349
authors	Kim, Eonyong; Kim, Kibum; Choo, Seungyeon; Ryu, Jikeun
year	2017
title	Rule-based Security Planning System for Practical Application
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. 349-359.
summary	Security planning is a vital part of the operation and management phase in a building’s life cycle. Ideally, this will be addressed during the building design phase. However, reality often differs from this ideal. In the real world, information such as floor plans tend to insufficiently describe or imperfectly match physical buildings, and must be surveyed and re-worked during security planning. Because of this, security companies require two kinds of staff: those in the security business and those in charge of planning, including floor plan verification. This research focused on creating an efficient way to help staff in this work environment develop a system of security planning for buildings and facilities using a rule-based approach in a tailormade CAD system. In this research, we developed a new 3D CAD system for desktops and mobile devices, which specializes in security planning using a game-engine. To avoid errors during security planning, a rule-based check system was developed and integrated into the CAD system. The rule-set of this rule base was built from the security planning manual, including guidelines on equipment layout and wiring in various situations, which could then be used in the development of an automated check. This research describes the method of system development and final results.
keywords	Security Planning, Operation and Management, Rule Base, BIM, CAD
series	CAAD Futures
email
last changed	2017/12/01 14:38

_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
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
doi	https://doi.org/10.52842/conf.caadria.2017.603
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	ecaade2017_090
id	ecaade2017_090
authors	Patlakas, Panagiotis, Livingstone, Andrew and Hairstans, Robert
year	2017
title	An Automated Code Compliance system within a BIM environment
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. 153-160
doi	https://doi.org/10.52842/conf.ecaade.2017.1.153
summary	The present paper presents a framework for an Automated Code Compliance (ACC) system within a BIM environment. We begin by introducing the concept of ACC and its applicability in contemporary practice in general and BIM in particular. We proceed by introducing the mathematical method of Multi-Dimensional Data Fitting (MDDF) to develop singular structural design equations from multi-dimensional datasets of structural design equations employed in international design codes. We follow this by demonstrating how the MDDF output has been implemented in BIM-based software, to achieve code compliance. Finally, we demonstrate the overarching framework and how this can be implemented on a wide scale to achieve full ACC.
keywords	Automatic Code Compliance; BIM; Timber
series	eCAADe
email
last changed	2022/06/07 07:59

_id	acadia17_138
id	acadia17_138
authors	Berry, Jaclyn; Park, Kat
year	2017
title	A Passive System for Quantifying Indoor Space Utilization
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. 138-145
doi	https://doi.org/10.52842/conf.acadia.2017.138
summary	This paper presents the development of a prototype for a new sensing device for anonymously evaluating space utilization, which includes usage factors such as occupancy levels, congregation and circulation patterns. This work builds on existing methods and technology for measuring building performance, human comfort and occupant experience in post-occupancy evaluations as well as pre-design strategic planning. The ability to collect data related to utilization and occupant experience has increased significantly due to the greater accessibility of sensor systems in recent years. As a result, designers are exploring new methods to empirically verify spatial properties that have traditionally been considered more qualitative in nature. With this premise, this study challenges current strategies that rely heavily on manual data collection and survey reports. The proposed sensing device is designed to supplement the traditional manual method with a new layer of automated, unbiased data that is capable of capturing environmental and social qualities of a given space. In a controlled experiment, the authors found that the data collected from the sensing device can be extrapolated to show how layout, spatial interventions or other design factors affect circulation, congregation, productivity, and occupancy in an office setting. In the future, this sensing device could provide designers with real-time feedback about how their designs influence occupants’ experiences, and thus allow the designers to base what are currently intuition-based decisions on reliable data and evidence.
keywords	design methods; information processing; smart buildings; IoT
series	ACADIA
email
last changed	2022/06/07 07:52

_id	ecaade2017_195
id	ecaade2017_195
authors	Collins, Jeffrey and Gentry, Russell
year	2017
title	KBAD - Knowledge Base for Architectural Detailing
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. 657-666
doi	https://doi.org/10.52842/conf.ecaade.2017.2.657
summary	This paper examines the current state of the conventional Design-Bid-Build project, wherein design intentions are manually translated to construction directives by subcontractors based on industry-specific details. This process exacerbates a dilemma in design and construction; that often the designer may be unaware of certain details that are involved in fabricating and assembling building components. Research for Knowledge Base for Architectural Detailing (KBAD) proposes a system that takes advantage of current CAD software and programming language, bringing together the information provided by and important to the design team with the data required by the subcontractor to accurately produce architectural components, during the design phases of a project. The trade of architectural precast concrete is used to demonstrate the potential of such a system. Solid modeling, visual scripting, and programming language techniques working towards KBAD are described. Possible variations of architectural precast concrete panels, detailed with window openings, reveals, and embed plates, are presented.
keywords	BIM; HCI; Collaboration
series	eCAADe
email
last changed	2022/06/07 07:56

_id	caadria2017_042
id	caadria2017_042
authors	Coorey, Ben and Coorey, Anycie
year	2017
title	Generating Urban Form
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. 261-269
doi	https://doi.org/10.52842/conf.caadria.2017.261
summary	Modern design of urban forms is venturing towards performative, site-specific architecture that are formed according to the attributes of its urban context. Parametric modelling techniques offer designers the ability to embed generative mechanisms into the design process to allow performance based design. This paper focuses on the development of a synthesis model that generates an Urban Form schema using computational design principles. The design system illustrates a rule-based systematic approach to urban form generation and is a precursor to the automatic exploration of urban forms based on design analytics and evaluation of urban metrics. The role of the architect begins to shift from the designer of objects to the designer of processes with urban planning following a trajectory of data-generated and contextual specific design.
keywords	Parametric Modelling; Urban Modelling; Scripting; Urban Analysis
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia17_284
id	acadia17_284
authors	Hu, Zhengrong; Park, Ju Hong
year	2017
title	HalO [Indoor Positioning Mobile Platform]: A Data-Driven, Indoor-Positioning System With Bluetooth Low Energy Technology To Datafy Indoor Circulation And Classify Social Gathering Patterns For Assisting Post Occupancy Evaluation
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. 284-291
doi	https://doi.org/10.52842/conf.acadia.2017.284
summary	Post-Occupancy Evaluation (POE) as an integrated field between architecture and sociology has created practical guidelines for evaluating indoor human behavior within a built environment. This research builds on recent attempts to integrate datafication and machine learning into POE practices that may one day assist Building Information Modeling (BIM) and multi-agent modeling. This research is based on two premises: 1) that the proliferation of Bluetooth Low Energy (BLE) technology allows us to collect a building user’s data cost-effectively and 2) that the growing application of machine learning algorithms allows us to process, analyze and synthesize data efficiently. This study illustrates that the mobile platform HalO can serve as a generic tool for datafication and automation of data analysis of the movement of a building user. In this research, the iOS mobile application HalO, combined with BLE beacons enable building providers (architects, developers, engineers and facility managers etc.) to collect the user’s indoor location data. Triangulation was used to pinpoint the user’s indoor positions, and k-means clustering was applied to classify users into different gathering groups. Through four research procedures—Design Intention Analysis, Data Collection, Data Storage and Data Analysis—the visualized and classified data helps building providers to better evaluate building performance, optimize building operations and improve the accuracy of simulations.
keywords	design methods; information processing; data mining; IoT; AI; machine learning
series	ACADIA
email
last changed	2022/06/07 07:49

_id	caadria2017_062
id	caadria2017_062
authors	Ji, Seung Yeul, Kim, Mi Kyoung and Jun, Han Jong
year	2017
title	Campus Space Management Using a Mobile BIM-based Augmented Reality System
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. 105-114
doi	https://doi.org/10.52842/conf.caadria.2017.105
summary	In South Korea, the changing paradigm of family composition toward single-person households and nuclear families has caused the decrease in number of students, which has led to the need for change in the qualitative, rather than quantitative, management of spaces and facilities on university campuses. In particular, since 2005, the merging of universities have accelerated, which has brought up the need for a system that facilitates the management of integrated university systems. Accordingly, universities now require efficient system operation based on three-dimensional and data visualization, unlike the document-based management of facilities and spaces in the past. Users lack a sense of responsibility for public facilities, causing difficulties such as energy waste and frequent movement, as well as damage and theft of goods. This study aims to form an AR-based interface using the ANPR algorithm, a computer vision technique, and the position-based data of the GPS. It also aims to build a campus space management system to overcome the limitations of current systems and to effectively and systematically manage integrated building data. In addition, for module test verification, the prototype is applied to actual campus spaces, and additional demands for campus space management in the AR application are identified and organized.
keywords	augmented reality; Campus space management; BIM; CAFM (computer-aided facilities management); user experience (UX)
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2017_085
id	caadria2017_085
authors	Lee, Yong-Ju, Kim, Mi-Kyoung and Jun, Han-Jong
year	2017
title	Green Standard for Energy and Environmental Design - The Development of an Assessment System Based on a Green BIM Template
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. 623-632
doi	https://doi.org/10.52842/conf.caadria.2017.623
summary	To construct a building that meets the requirements of certification in terms of environmental friendliness, there must be a process that considers the certification criteria from the initial design phase. However, there are numerous complicated task performance procedures to analyse many required items in detail as well as perceive and apply the data requirements efficiently. Currently, Building Information Modeling (BIM) is gaining attention as a solution for environmental problems in architecture. BIM shows precisely how a virtual building is modelled in the real world, thereby providing an objective information and analysis through a simulation. However, the result values of BIM library or modelling may turn out differently as a result of the work environment of designers or users that is not standardized. Therefore, this study applies the modelled and extracted BIM data using the template and library established in the BIM add-in planning and design phase to review in advance the Green Standard for Energy and Environmental Design (G-SEED) assessment by item and manual input of users with the BIM-based (add-in) G-SEED assessment system, thereby providing support to enable users to establish specific strategies in designing green buildings.
keywords	GBT; G-SEED; BIM System; BIM Add-in; Apartment
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	ecaade2017_130
id	ecaade2017_130
authors	Nagakura, Takehiko and Sung, Woongki
year	2017
title	Spatial Typology for BIM - Preassembling for Synthetic Architectural Design
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. 129-136
doi	https://doi.org/10.52842/conf.ecaade.2017.1.129
summary	Contemporary Building Information Modeling (BIM) software provides basic component types such as bathtubs, desks, windows and walls that are available in many varieties of kinds and ready for drag-and-drop into a design project. However, the software is unlikely to provide higher level constructs such as bathrooms or offices as types, and these spatial concepts are largely unframed in the ontology of the building system. This paper looks at these spatial concepts left unframed in BIM as important fabric in the design process, examines how they are represented typologically in conventional design resources such as Neufert Architects' Data, and discusses strategies for embedding them in BIM. Together with abundant published cases of architectural designs, the examples of spatial forms in these resources play a role of Big Data. The paper then demonstrates a prototype of parametric office building typology embedded in BIM and illustrates how such a tool helps an architect to study volumetric layout on a given site. The approach tested leads to an idea of BIM imbued with a massive taxonomic library of preassembled spatial types and takes us a step closer to a symbiotic or synthetic architectural design process.
keywords	Building Information Modeling; Architectural Typology; Design Representation; Big Data; Synthetic Design
series	eCAADe
email
last changed	2022/06/07 07:59

_id	caadria2017_033
id	caadria2017_033
authors	Qu, Tengteng, Zang, Wei, Peng, Zhenwei, Liu, Jun, Li, Weiwei, Zhu, Yun, Zhang, Bin and Wang, Yongsheng
year	2017
title	Construction Site Monitoring Using UAV Oblique Photogrammetry and BIM Technologies
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. 655-662
doi	https://doi.org/10.52842/conf.caadria.2017.655
summary	Traditional construction site monitoring primarily relies on a human presence. Automated construction progress monitoring is expected to make this process much more efficient and precise. The planned state of construction (as-planned) must be validated by the actual state (as-built) during automated construction progress monitoring. This research uses an integrated application of high-resolution low-altitude UAV (Unmanned Aerial Vehicle) oblique photogrammetry and Building Information Modeling (BIM) technologies for construction site management. A case study was carried out for a renewable energy development program in the JiaDing District of Shanghai, China. A high-resolution 3D model of the construction site acquired by our multi-motor UAV provides data to illustrate the as-built state of the construction program. Comparison of the UAV-based 3D model (as-built) with the BIM-based 3D model (as-planned) for a specific chimney was used for dynamic construction site monitoring. Our results show 3D illustrations of construction progress. This research demonstrates that the BIM technology in conjunction with the use of UAV photogrammetry provides efficient and precise as-built data collection and illustration of construction progress.
keywords	Oblique Photogrammetry; UAV; 3D modeling; BIM; construction site monitoring
series	CAADRIA
email
last changed	2022/06/07 08:00

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

_id	caadria2017_080
id	caadria2017_080
authors	Suzuki, Seiichi and Knippers, Jan
year	2017
title	Topology-driven Form-finding - Implementation of an Evolving Network Model for Extending Design Spaces in Dynamic Relaxation
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. 489-498
doi	https://doi.org/10.52842/conf.caadria.2017.489
summary	This paper introduces a novel computational design methodology called topology-driven for the numerical form-finding of discrete networks and presents the essential building block for storing and processing information. Numerical form-finding focuses on computing the optimum geometric configuration of lightweight structures in which shape is the result of reciprocal dependencies between forces, material behaviors and structural performances. Among the design community, Dynamic Relaxation (DR) has gained in popularity given its capacity to support more flexible and interactive design spaces in form-finding. However, common implementations of networks models only focus on the interactive exploration of material and geometrical properties without further specification for topological dynamization. For facing this problematic, we propose an object-oriented approach to attach specific functionalities to particular pieces of data within the numerical schema. Here, we describe the implementation of a rule-based system for managing objects´ interactions in order to continuously track topological and geometrical changes. Based on this concept, larger design spaces can be developed for the interactive exploration of structural shapes.
keywords	Topology-driven; Form-Finding; Dynamic Relaxation; Object Structures; Design Spaces
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	acadia17_630
id	acadia17_630
authors	Vasanthakumar, Saeran; Saha, Nirvik; Haymaker, John; Shelden, Dennis
year	2017
title	Bibil: A Performance-Based Framework to Determine Built Form Guidelines
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. 630- 639
doi	https://doi.org/10.52842/conf.acadia.2017.630
summary	City built-form guidelines act as durable constraints on building design decisions. Such guidelines directly impact energy, comfort and other performance conditions. Existing urban design and planning methods only consider a narrow range of potential design scenarios, with rudimentary performance criteria, resulting in suboptimal urban designs. Bibil is a software plugin for the Rhinoceros3D/Grasshopper3D CAD modeler that addresses this gap through the synthesis of design space exploration methods to help design teams optimize guidelines for environmental and energy performance criteria over the life cycle of the city. Bibil consists of three generative and data management modules. The first module simulates development scenarios from street and block information through time, the second designs appropriate architectural typology, and the third abstracts the typologies into a lightweight analysis model for detailed thermal load and energy simulation. State-of-the-art performance simulation is done via the Ladybug Analysis Tools Grasshopper3D plugin, and further bespoke analysis to explore the resulting design space is achieved with custom Python scripts.This paper first introduces relevant background for automated exploration of urban design guidelines. Then the paper surveys the state-of-the-art in design and performance simulation tools in the urban domain. Next the paper describes the beta version of the tool’s three modules and its application in a built form study to assess urban canyon performance in a major North American city. Bibil enables the exploration of a broader range of potential design scenarios, for a broader range of performance criteria, over a longer period of time.
keywords	design methods; information processing; simulation & optimization; form finding; generative system
series	ACADIA
email
last changed	2022/06/07 07:58

_id	caadria2018_209
id	caadria2018_209
authors	Yao, Jiawei, Lin, Yuqiong, Zhao, Yao, Yan, Chao, Li, Changlin and Yuan, Philip F.
year	2018
title	Augmented Reality Technology based Wind Environment Visualization
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 369-377
doi	https://doi.org/10.52842/conf.caadria.2018.1.369
summary	Considering the outdoor environment at the initial stage of design process plays a significant role on future building performance. Augmented Reality (AR) technology applied in this research can integrate real world building morphology information and virtual world ventilation information seamlessly that rapidly and directly provides designers information for observation and evaluation. During the case study of "2017 Shanghai DigitalFUTURE" summer workshop, a research on augmented reality technology based wind environment visualization was carried on. The achievement with an application software not only showed the geometric information of the real world objects (such as buildings), but also the virtual wind environment has displayed. Thus, these two kinds of information can complement and superimpose each other. This AR technology based software brings multiple synthetic together, which can (1) visualize the air flow around buildings that provides designers rapid and direct information for evaluation; (2) deal with wind-environment-related data quantitatively and present in an intuitive, easy-to-interpret graphical way; and (3) be further developed as a visualization system based on built-in environments in the future, which contributes to rapid evaluation of a series of programs at the beginning of the building design.
keywords	Environment visualization; Augmented reality technology; Fast response; Outdoor ventilation
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	acadia17_660
id	acadia17_660
authors	Zivkovic, Sasa; Battaglia, Christopher
year	2017
title	Open Source Factory: Democratizing Large-Scale Fabrication Systems
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
doi	https://doi.org/10.52842/conf.acadia.2017.660
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	ijac201715301
id	ijac201715301
authors	Afsari, Kereshmeh; Charles Eastman and Dennis Shelden
year	2017
title	Building Information Modeling data interoperability for Cloud-based collaboration: Limitations and opportunities
source	International Journal of Architectural Computing vol. 15 - no. 3, 187-202
summary	Collaboration within Building Information Modeling process is mainly based on the manual transfer of document files in either vendor-specific formats or neutral format using Industry Foundation Classes. However, since the web enables Cloud-based Building Information Modeling services, it provides an opportunity to exchange data with web technologies. Alternative data sharing solutions include the federation of Building Information Modeling models and an interchange hub for data exchange in real time. These solutions face several challenges, are vendor locked, and integrate Building Information Modeling applications to a third new system. The main objective of this article is to investigate current limitations as well as opportunities of Cloud interoperability to outline a framework for a loosely coupled network-based Building Information Modeling data interoperability. This study explains that Cloud-Building Information Modeling data exchange needs to deploy major components of Cloud interoperability such as Cloud application programming interfaces, data transfer protocols, data formats, and standardization to redefine Building Information Modeling data flow in Cloud-based applications and to reshape collaboration process.
keywords	Building Information Modeling, Cloud, data exchange, interoperability, Industry Foundation Classes
series	journal
email
last changed	2019/08/07 14:03

_id	acadia17_28
id	acadia17_28
authors	Aguiar, Rita; Cardoso, Carmo; Leit?o,António
year	2017
title	Algorithmic Design and Analysis Fusing Disciplines
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. 28-37
doi	https://doi.org/10.52842/conf.acadia.2017.028
summary	In the past, there has been a rapid evolution in computational tools to represent and analyze architectural designs. Analysis tools can be used in all stages of the design process, but they are often only used in the final stages, where it might be too late to impact the design. This is due to the considerable time and effort typically needed to produce the analytical models required by the analysis tools. A possible solution would be to convert the digital architectural models into analytical ones, but unfortunately, this often results in errors and frequently the analytical models need to be built almost from scratch. These issues discourage architects from doing a performance-oriented exploration of their designs in the early stages of a project. To overcome these issues, we propose Algorithmic Design and Analysis, a method for analysis that is based on adapting and extending an algorithmic-based design representation so that the modeling operations can generate the elements of the analytical model containing solely the information required by the analysis tool. Using this method, the same algorithm that produces the digital architectural model can also automatically generate analytical models for different types of analysis. Using the proposed method, there is no information loss and architects do not need additional work to perform the analysis. This encourages architects to explore several design alternatives while taking into account the design’s performance. Moreover, when architects know the set of design variations they wish to analyze beforehand, they can easily automate the analysis process.
keywords	design methods; information processing; simulation & optimization; BIM; generative system
series	ACADIA
email
last changed	2022/06/07 07:54

_id	acadia17_52
id	acadia17_52
authors	Ajlouni, Rima
year	2017
title	Simulation of Sound Diffusion Patterns of Fractal-Based Surface Profiles
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
doi	https://doi.org/10.52842/conf.acadia.2017.052
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_72
id	acadia17_72
authors	Alfaiate, Pedro; Caetano, In?s; Leit?o, António
year	2017
title	Luna Moth: Supporting Creativity in the Cloud
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. 72-81
doi	https://doi.org/10.52842/conf.acadia.2017.072
summary	Algorithmic design allows architects to design using a programming-based approach. Current algorithmic design environments are based on existing computer-aided design applications or building information modeling applications, such as AutoCAD, Rhinoceros 3D, or Revit, which, due to their complexity, fail to give architects the immediate feedback they need to explore algorithmic design. In addition, they do not address the current trend of moving applications to the cloud to improve their availability. To address these problems, we propose a software architecture for an algorithmic design integrated development environment (IDE), based on web technologies, that is more interactive than competing algorithmic design IDEs. Besides providing an intuitive editing interface which facilitates programming tasks for architects, its performance can be an order of magnitude faster than current algorithmic design IDEs, thus supporting real-time feedback with more complex algorithmic design programs. Moreover, our solution also allows architects to export the generated model to their preferred computer-aided design applications. This results in an algorithmic design environment that is accessible from any computer, while offering an interactive editing environment that integrates into the architect’s workflow.
keywords	design methods; information processing; generative system; computational / artistic cultures
series	ACADIA
email
last changed	2022/06/07 07:54

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