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	caadria2018_245
id	caadria2018_245
authors	Chowdhury, Shuva and Schnabel, Marc Aurel
year	2018
title	An Algorithmic Methodology to Predict Urban Form - An Instrument for Urban Design
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 401-410
doi	https://doi.org/10.52842/conf.caadria.2018.2.401
summary	We question the recent practices of conventional and participatory urban design approaches and offer a middle approach by exploring computational design tools in the design system. On the one hand, the top-down urban planning approaches investigate urban form as a holistic matter which only can be calibrated by urban professionals. These approaches are not able to offer enough information to the end users to predict the urban form. On the other hand, the bottom-up urban design approaches cannot visualise predicted urban scenarios, and most often the design decisions stay as general assumptions. We developed and tested a parametric design platform combines both approaches where all the stakeholders can participate and visualise multiple urban scenarios in real-time feedback. Parametric design along with CIM modelling system has influenced urban designers for a new endeavour in urban design. This paper presents a methodology to generate and visualise urban form. We present a novel decision-making platform that combines city level and local neighbourhood data to aid participatory urban design decisions. The platform allows for stakeholder collaboration and engagement in complex urban design processes.
keywords	knowledge-based system; algorithmic methodology ; design decision tool; urban form;
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2018_180
id	caadria2018_180
authors	Mekawy, Mohammed and Petzold, Frank
year	2018
title	BIM-Based Model Checking in the Early Design Phases of Precast Concrete Structures
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 71-80
doi	https://doi.org/10.52842/conf.caadria.2018.2.071
summary	Designers often carry out their work in the early design stages with disregard to prefabrication requirements, leading to poorly thought out design decisions in terms of precast concrete planning efficiency. If precast expertise could be integrated early into design schemes, this would improve design efficiency, reduce errors and misalignments, and save time at every design iteration. The objective is not to replace precast domain experts, but to help architects make better-informed design decisions. This research is part of a wider investigation that aims to develop a rule-based expert system to support an automated review of precast concrete requirements in BIM models in the early design stages, proactively providing feedback for design decision support. This specific paper summarizes the theoretical part of the research and proposes a way to formalize precast expert knowledge as rule-sets in a tabular form that can be later programmed and integrated in a BIM platform for automated checking of BIM models.
keywords	Precast Concrete; Rule-based checking; BIM-based model checking; Expert system; Decision tables
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	ecaade2020_445
id	ecaade2020_445
authors	Spiegelhalter, Thomas, Andia, Alfredo, Levente, Juhasz and Namuduri, Srikanth
year	2020
title	Part 1: The Integrated Decision Support System - Generative and synthetic biological design imaginations for the Miami bay area
source	Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 11-20
doi	https://doi.org/10.52842/conf.ecaade.2020.2.011
summary	In less than 150 years our carbon society transformed the planet. Today more than 50% of ecologies in the world are determined by unsustainable industrialization processes. The latest IPCC reports show that we are quickly arriving at points of no return in the warming of our planet. We cannot afford to continue in the same direction, we need a new imagination. As part of an E.U.-US funded $1.9 million research project we have been working on multiple projects for the future of the Miami islands since 2018:1. We developed a generative GIS-BIM based Python API for mapping and optimization of carbon-neutral design workflows. It includes genetic design combinatorics with intuitive graphical Dynamo-Python-Grasshopper programming with experimental design results. 2. We worked on a series of design research for the Miami Bay that envisions islands, living shorelines, programmable soils, and infrastructures that grow by themselves using synthetic biology.
keywords	Automated Workflows, Synthetic Biology, Artificial Intelligence, Architecture, Sea-level Rise
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2018_112
id	ecaade2018_112
authors	Yu, K. Daniel, Haeusler, M. Hank, Simon, Katrina and Fabbri, Alessandra
year	2018
title	Data Influenced Infrastructure Generation - Combining holistic urban datasets through a digital Slime Mold algorithm for cycle path generation
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 647-656
doi	https://doi.org/10.52842/conf.ecaade.2018.2.647
summary	Existing infrastructure in cities has become increasingly incapable of operating at its designed efficiency. This demand has been created by the growth in population generating a larger demand and strain on the existing infrastructure. This paper explores how user-generated data could be utilised to create transport infrastructure, more specifically bicycle pathways. Through a series of 'four sprints', a pathway generation system has been adapted from the behaviour of Slime Molds (Physarum Polycephalum), in particular, its ability to define shortest paths on a terrain. The first sprint outlines the design of a Slime Mold algorithm between user-specified points, the second utilises the algorithm for pathway generation in a macro and micro urban scale (acknowledging both the existing infrastructure and cadastral), the third defines weight or effort limits for the pathways in order to suite realistic user-profiles (fitness level of cyclist groups), and the last sprint creates the start and end points for the pathway generation from user-generated data, applying the Slime Mold system to a 'real world' context. Through the four sprints, a design tool has been created that can be used to not only create and analyse cycle pathways, but tweaked for various other forms of tangible transport infrastructure.
keywords	urban planning; agent based modelling; optimisation and decision support; transport planning
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2018_156
id	ecaade2018_156
authors	Kovacs, Adam Tamas and Micsik, András
year	2018
title	Building Information Dashboard as Decision Support during Design Phase
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 281-288
doi	https://doi.org/10.52842/conf.ecaade.2018.1.281
summary	This paper discusses the Building Information Dashboard, a data representation method which provides a solid basis for decision-makers to make optimal decisions during the design phase of an Architecture, Engineering, and Construction project. We describe an example project workflow where the dashboard is integrated. We sum up the evaluation method, which is the basis of the dashboard, and we research what type of visualization method is best suited to representing this type of data. To this end, an evaluation matrix was created to compare the alternative charts. We take into account what kind of information such a dashboard should represent and what kind of features it should have. We suggest layouts for different use cases - both for professional and non-professional decision-makers, as well as for discipline designers.
keywords	BIM; dashboard; decision support; data visualization; data analytics
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ecaade2018_385
id	ecaade2018_385
authors	Schulz, Daniel, Reiter, Felix, Metche, Alexander and Werner, Liss C.
year	2018
title	Data Flow - a GIS based interactive planning tool for educational facilities
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 497-506
doi	https://doi.org/10.52842/conf.ecaade.2018.1.497
summary	This paper describes the development of a Grasshopper-based planning support tool for urban planning. The tool aims at the analysis of demand in educational facilities and the optimization of their location and capacities. It was developed for the use case of Berlin using only publicly available resources and data sets. Through preprocessed GIS- and statistical data plus an easy-access interface, the tool encourages people from different backgrounds and even those with no professional knowledge in planning, to engage in urban decision making. Although being initially aimed at contributing to a moderated participation process, the tool's simple GUI (graphical user interface) and open source backend, make it usable in any setup - without a briefed advisor or the need for later professional evaluation by another party.
keywords	urban planning; data visualization; gamification; education; GIS
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2018_167
id	ecaade2018_167
authors	Anton, Ana and Abdelmahgoub, Ahmed
year	2018
title	Ceramic Components - Computational Design for Bespoke Robotic 3D Printing on Curved Support
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 71-78
doi	https://doi.org/10.52842/conf.ecaade.2018.2.071
summary	Additive manufacturing enables the fabrication of affordable customisation of construction elements. This paper presents a computational design method developed for 3D printing of unique interlocking ceramic components, which assemble into segmented columns. The fabrication method is ceramic-paste extrusion, robotically placed on semi-cylindrical molds. Material system and fabrication setup contribute to the development of an integrated generative system which includes overall design, assembly logic and printing tool-path. By contextualizing clay extrusion and identifying challenges in bespoke tool-path generation, this paper discusses detailing opportunities in digital fabrication. Finally, it identifies future directions of research in extrusion-based printing.
keywords	CAAD education; generative design; robotic 3D printing; clay extrusion; curved support
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2018_219
id	ecaade2018_219
authors	Bai, Nan, Ye, Wenqia, Li, Jianan, Ding, Huichao, Pienaru, Meram-Irina and Bunschoten, Raoul
year	2018
title	Customised Collaborative Urban Design - A Collective User-based Urban Information System through Gaming
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 419-428
doi	https://doi.org/10.52842/conf.ecaade.2018.1.419
summary	As we step into a new data-based information age, it is important to get citizens involved in the whole design process. Our research tries to build up a user-based urban information system by collecting the data of neighborhood land use preference from all the residents through gaming. The result of each individual decision will be displayed in real time using Augmented Reality technology, while the collective decision dataset will be stored, analyzed and learnt by computer, forming an optimal layout that meets the highest demand of the community. A pre-experiment has been conducted in a. an abstract virtual site and b. an existing site by collecting opinions from 122 participants, which shows that the system works well as a new method for collaborative design. This system has the potential to be applied both in realistic planning processes, as a negotiation toolkit, and in virtual urban forming, in the case of computer games or space colonization.
keywords	Collaborative Design; Customization; Urban Design; Gaming; Information System
series	eCAADe
email
last changed	2022/06/07 07:54

_id	sigradi2018_1806
id	sigradi2018_1806
authors	Barbosa Cabral, Sthefane Adrielly; Alejandro Nome, Carlos; Queiroz, Natália
year	2018
title	Pilot study of numerical modeling tool to evaluate the thermal performance of walls according to Brazilian standards
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 286-293
summary	The paper discusses a numerical modeling tool to evaluate thermal performance of building envelope according to Brazilian NBR15.220 and NBR 15.575 standards. Contemporary integrated design processes require the development of early design stage decision support mechanisms in order to optimize building performance. The development of the proposed tool focused on early stage decisions on building envelope design and integrating tool usability in the design process. Results indicate that the proposed tool provides basis for decision making that respond to Brazilian standards previously disregarded by participants. Also indicate improved understanding on parameters that affect building envelope thermal performance.
keywords	Thermal performance, Numeric modeling tool, Building envelope, Evidence Based Design
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2018_405
id	ecaade2018_405
authors	Belém, Catarina and Leit?o, António
year	2018
title	From Design to Optimized Design - An algorithmic-based approach
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 549-558
doi	https://doi.org/10.52842/conf.ecaade.2018.2.549
summary	Stringent requirements of efficiency and sustainability lead to the demand for buildings that have good performance regarding different criteria, such as cost, lighting, thermal, and structural, among others. Optimization can be used to ensure that such requirements are met. In order to optimize a design, it is necessary to generate different variations of the design, and to evaluate each variation regarding the intended criteria. Currently available design and evaluation tools often demand manual and time-consuming interventions, thus limiting design variations, and causing architects to completely avoid optimization or to postpone it to later stages of the design, when its benefits are diminished. To address these limitations, we propose Algorithmic Optimization, an algorithmic-based approach that combines an algorithmic description of building designs with automated simulation processes and with optimization processes. We test our approach on a daylighting optimization case study and we benchmark different optimization methods. Our results show that the proposed workflow allows to exclude manual interventions from the optimization process, thus enabling its automation. Moreover, the proposed workflow is able to support the architect in the choice of the optimization method, as it enables him to easily switch between different optimization methods.
keywords	Algorithmic Design; Algorithmic Analysis; Algorithmic Optimization; Lighting optimization; Black-Box optimization
series	eCAADe
email
last changed	2022/06/07 07:54

_id	sigradi2018_1329
id	sigradi2018_1329
authors	Campos Fialho, Beatriz; A. Costa, Heliara; Logsdon, Louise; Minto Fabrício, Márcio
year	2018
title	CAD and BIM tools in Teaching of Graphic Representation for Engineering
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 961-968
summary	BIM technology has represented an advance and a break of the design process’ paradigm, impacting both academia and construction market. Reporting a didactic experience in the Civil Engineering graduation, this article aims to understand the teaching and learning process of graphic representation, by using CAD and BIM tools. The research included Literature Review and Empirical Study, whose data collection was based on the application of questionnaires, practical exercises and theoretical test with the students. As a contribution, we highline the complementary nature of the tools and the potentialities of BIM for teaching graphic representation.
keywords	Graphic Representation; CAD System Education; CAE System Education. BIM
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	caadria2018_056
id	caadria2018_056
authors	Chirkin, Artem, Pishniy, Maxim and Sender, Arina
year	2018
title	Generilized Visibility-Based Design Evaluation Using GPU
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 483-492
doi	https://doi.org/10.52842/conf.caadria.2018.2.483
summary	Visibility plays an important role in perception and use of an urban design, and thus often becomes a target of design analysis. This work presents a fast method of evaluating various visibility-based design characteristics, such as isovists or insolation exploiting the GPU rendering pipeline and compute shaders. The proposed method employs a two-stage algorithm on each point of interest. First, it projects the visible space around a vantage point onto an equirectangular map. Second, it folds the map using a flexibly defined function into a single value that is associated with the vantage point. Being executed on a grid of points in a 3D scene, it can be visualized as a heat map or utilized by another algorithm for further design analysis. The developed system provides nearly real-time analysis tools for an early-stage design process to a broad audience via web services.
keywords	design analysis; design evaluation; GPU; isovist; insolation
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	caadria2018_333
id	caadria2018_333
authors	Cupkova, Dana, Byrne, Daragh and Cascaval, Dan
year	2018
title	Sentient Concrete - Developing Embedded Thermal and Thermochromic Interactions for Architecture and Built Environment
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 545-554
doi	https://doi.org/10.52842/conf.caadria.2018.2.545
summary	Historically, architectural design focused on adaptation of built environment to serve human needs. Recently embedded computation and digital fabrication have advanced means to actuate physical infrastructure in real-time. These 'reactive spaces' have typically explored movement and media as a means to achieve reactivity and physical deformation (Chatting et al. 2017). However, here we recontextualize 'reactive' as finding new mechanisms for permanent and non-deformable everyday materials and environments. In this paper, we describe our ongoing work to create a series of complex forms - modular concrete panels - using thermal, tactile and thermochromic responses controlled by embedded networked system. We create individualized pathways to thermally actuate these surfaces and explore expressive methods to respond to the conditions around these forms - the environment, the systems that support them, their interaction and relationships to human occupants. We outline the design processes to achieve thermally adaptive concrete panels, illustrate interactive scenarios that our system enables, and discuss opportunities for new forms of interactivity within the built environment.
keywords	Responsive environments; Geometrically induced thermodynamics; Ambient devices; Internet of things; Modular electronic systems
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2018_438
id	ecaade2018_438
authors	Das, Subhajit
year	2018
title	Interactive Artificial Life Based Systems, Augmenting Design Generation and Evaluation by Embedding Expert Opinion - A Human Machine dialogue for form finding.
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 85-94
doi	https://doi.org/10.52842/conf.ecaade.2018.1.085
summary	Evolution of natural life and subsequently selection of life forms is an interesting topic that has been explored multiple times. This area of research and its application has high relevance in evolutionary design and automated design generation. Taking inspiration from Charles Darwin's theory, all biological species were formed by the process of evolution based on natural selection of the fittest (Darwin, n.d.) this paper explains exploratory research showcasing semi-automatic design generation. This is realized by an interactive artificial selection tool, where the designer or the end user makes key decisions steering the propagation and breeding of future design artifacts. This paper, describes two prototypes and their use cases, highlighting interaction based optimal design selection. One of the prototypes explains a 2d organic shape creator using a metaball shape approach, while the other discusses a spatial layout generation technique for conceptual design.
keywords	design generation; implicit surfaces; artificial life; decision making; artificial selection; spatial layout generation
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2018_295
id	ecaade2018_295
authors	Dezen-Kempter, Eloisa, Cogima, Camila Kimi, Vieira de Paiva, Pedro Victor and Garcia de Carvalho, Marco Antonio
year	2018
title	BIM for Heritage Documentation - An ontology-based approach
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 213-222
doi	https://doi.org/10.52842/conf.ecaade.2018.1.213
summary	In the recent decades, the high-resolution remote sensing, through 3D laser scanning and photogrammetry benefited historic buildings maintenance, conservation, and restoration works. However, the dense surface models (DSM) generated from the data capture have nonstructured features as lack of topology and semantic discretization. The process to create a semantically oriented 3D model from the DSM, using the of Building Information Model technology, is a possibility to integrate historical information about the life cycle of the building to maintain and improving architectural valued building stock to its functional level and safeguarding its outstanding historical value. Our approach relies on an ontology-based system to represent the knowledge related to the building. Our work outlines a model-driven approach based on the hybrid data acquisition, its post-processing, the identification of the building' main features for the parametric modeling, and the development of an ontological map integrated with the BIM model. The methodology proposed was applied to a large-scale industrial historical building, located in Brazil. The DSM were compared, providing a qualitative assessment of the proposed method.
keywords	Reality-based Surveying; Ontology-based System; BIM; Built heritage management
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2018_257
id	ecaade2018_257
authors	Guo, Zhe, Yin, Hao and Yuan, Philip F.
year	2018
title	Spatial Redesign Method Based on Behavior Data Visualization System - UWB interior positioning technology based office space redesign method research
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 577-584
doi	https://doi.org/10.52842/conf.ecaade.2018.2.577
summary	There is a typical symbiotic relationship between behavior and space. Design and evaluation of space are also inseparable from people's behavioral needs. Therefore, the study of behavior patterns can be regarded as the process of exploring the relationship between human and space. Traditional behavioral research lacks precise micro-individual data and analytical tools to express complex environments, and is more inclined to macro and qualitative static analysis. With the maturity of indoor positioning technology, the use of big data as a medium to quantitatively study the laws of behavior has gradually penetrated into the micro-level of indoor space. This paper begins with a brief introduction of the behavioral performance research process in history. The paper then describes the method that constructs the observation, quantification and visualization process of behavior data by using UWB positioning technology and visualization implementation system through an on-site experiment of office space. The last part of this paper discusses the establishment of spatial redesign method by mining the behavior data, and translating the results into spatial attributes.
keywords	behavior data visualization; UWB interior positioning technology; data mining; spatial redesign method
series	eCAADe
email
last changed	2022/06/07 07:50

_id	caadria2019_665
id	caadria2019_665
authors	Jin, Jinxi, Han, Li, Chai, Hua, Zhang, Xiao and Yuan, Philip F.
year	2019
title	Digital Design and Construction of Lightweight Steel-Timber Composite Gridshell for Large-Span Roof - A Practice of Steel-timber Composite Gridshell in Venue B for 2018 West Bund World AI Conference
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. 183-192
doi	https://doi.org/10.52842/conf.caadria.2019.1.183
summary	Timber gridshell is an efficient structural system. However, the feature of double curved surface result in limitation of practical application of timber gridshell. Digital technology provides an opportunity to break this limitation and achieve a lightweight free-form gridshell. In the practice of Venue B for 2018 West Bund World AI Conference, architects and structural engineers cooperated to explore innovative design of lightweight steel-timber composite gridshell with the help of digital tools. Setting digital technology as support and restrains of the project as motivation, the design tried to achieve the realization of material, structure, construction and spatial expression. The digital design and construction process will be discussed from four aspects, including form-finding of gridshell surface, steel-timber composite design, digital detailed design and model-based fabrication and construction. We focuses on the use of digital tools in this process, as well as the role of the design subject.
keywords	Timber Gridshell; Steel-timber Composite; Digital Design and Construction; Lightweight Structure; Large-span Roof
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2018_297
id	caadria2018_297
authors	Kim, Eonyong
year	2018
title	Field Survey System for Facility Management Using BIM Model - IoT Management for Facility Management
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 535-544
doi	https://doi.org/10.52842/conf.caadria.2018.2.535
summary	Combining IoT technology with the BIM paradigm can enhance the data collection that BIM strives for by enabling real-time monitoring of building conditions. This data collection can be used very effectively for managing facilities. However, many IoT devices must be installed in buildings to achieve such results and therefore, a management system is required. The purpose of this study is to suggest an IoT management system that uses the drawing information extracted from a BIM model to allow effective management from initial installation of IoT devices to maintenance. In the pursuit of this purpose, a converter and an IoT device which developed in the research is used. The converter extracts space information and 2D floor drawing from BIM model and the IoT device is developed based on ESP 8266 chip which consist of one computer and WIFI module. To store the data which collected by the IoT devices, IoT service of AWS(Amazon Web Service) is used.
keywords	Facility Management; IoT; Management System; BIM
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	ecaaderis2018_112
id	ecaaderis2018_112
authors	Kontovourkis, Odysseas and Konatzii, Panagiota
year	2018
title	Design-static analysis and environmental assessment investigation based on a kinetic formwork-driven by digital fabrication principles
source	Odysseas Kontovourkis (ed.), Sustainable Computational Workflows [6th eCAADe Regional International Workshop Proceedings / ISBN 9789491207143], Department of Architecture, University of Cyprus, Nicosia, Cyprus, 24-25 May 2018, pp. 131-140
keywords	This research focuses on design-static analysis and environmental assessment procedures that are based on the idea of a flexible kinetic formwork used as the automated mechanism for the production of bricks for porous wall structures. A key aspect of this investigation is the Life Cycle Assessment (LCA) analysis study that is applied in order to achieve, in parallel with the automated procedure, the sustainable potential of the products. For this purpose, the design and construction flexibility of the product is taken into account from the early design decision making stage by examining different sizes of bricks under fabrication including massive or porous ones in order to test their design and static performance, aiming to adapt their shape in multiple functional and environmental scenarios. In parallel, the LCA impact of the given design scenarios are taken into consideration, again from the early design phase, and include, among other objectives, material minimization, less environmental impact of building materials and less energy consumption based on the proposed digital fabrication technology. This is examined by comparing digital design and robotic automated results using three types of ecological materials.
series	eCAADe
email
last changed	2018/05/29 14:33

_id	ecaade2018_180
id	ecaade2018_180
authors	Kwieciñski, Krystian and Markusiewicz, Jacek
year	2018
title	HOPLA - Interfacing Automation for Mass-customization
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 159-168
doi	https://doi.org/10.52842/conf.ecaade.2018.2.159
summary	HOPLA (Home Planner) is a computer-aided design system aimed at simplifying customization of house design. It merges aspects of user-centered computer-aided design with machine-centered computerized design, as defined by Negroponte in The Architecture Machine. The tool was developed to fulfill mass-customization principles without compromising mass production efficiency and to support users' participation in design processes to help them formulate expectations and search for design solutions. We describe the details of the system development and its possible use in the process of mass-customization and participatory design of single-family houses. The system consists of two core elements: an algorithm based on a generic grammar responsible for generating design solutions in relation to user input, and a Tangible User Interface allowing users to introduce data and to control the process in an intuitive way. The main challenge in developing the system was to synchronize the freedom of user's design decisions with the rigor of machine's verification process.
keywords	mass-customization; participatory design; tangible user interface; house design; generative design
series	eCAADe
email
last changed	2022/06/07 07:55

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