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	ecaade2018_329
id	ecaade2018_329
authors	De Luca, Francesco, Nejur, Andrei and Dogan, Timur
year	2018
title	Facade-Floor-Cluster - Methodology for Determining Optimal Building Clusters for Solar Access and Floor Plan Layout in Urban Environments
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. 585-594
doi	https://doi.org/10.52842/conf.ecaade.2018.2.585
summary	Daylight standards are one of the main factors for the shape and image of cities. With urbanization and ongoing densification of cities, new planning regulations are emerging in order to manage access to sun light. In Estonia a daylight standard defines the rights of light for existing buildings and the direct solar access requirement for new premises. The solar envelope method and environmental simulations to compute direct sun light hours on building façades can be used to design buildings that respect both daylight requirements. However, no existing tool integrates both methods in an easy to use manner. Further, the assessment of façade performance needs to be related to the design of interior layouts and of building clusters to be meaningful to architects. Hence, the present work presents a computational design workflow for the evaluation and optimisation of high density building clusters in urban environments in relation to direct solar access requirements and selected types of floor plans.
keywords	Performance-driven Design; Urban Design; Direct Solar Access; Environmental Simulations and Evaluations; Parametric Modelling
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ijac201816101
id	ijac201816101
authors	Nisztu, Maciejk and Pawe³ B. Myszkowsk
year	2018
title	Usability of contemporary tools for the computational design of architectural objects: Review, features evaluation and reflection
source	International Journal of Architectural Computing vol. 16 - no. 1, 58-84
summary	This article is an overview focused on functionality and usability of selected contemporary approaches for the computational floor plan generation of architectural objects. This article describes current solutions for generative architectural design and focuses on their usability from the point of view of architectural design practice. Recent research papers and prototypes, as well as the most important tools (selected computer-aided design and BIM software) for generative design from the architectural perspective, are described. The functionalities and level of usability of present-day software and prototypes are described. In addition, the descriptive review of the research prototypes architectural design outcomes is present. Furthermore, the survey among active architects regarding the usage of computational tools in the professional practice and possible guidelines for the development of such tools are present. This article summarises with the conclusion about the current state of generative floor plan design tools, the lack of fully functional and developed commercial tools of this type on the market and future directions for the development of generative floor plans tools.
keywords	Architectural design, case studies, computer-aided architectural design, optimisation in computer-aided architectural design, computer-aided architectural design applications
series	journal
email
last changed	2019/08/07 14:03

_id	ascaad2021_065
id	ascaad2021_065
authors	Fraschini, Matteo; Julian Raxworthy
year	2021
title	Territories Made by Measure: The Parametric as a Way of Teaching Urban Design Theory
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 494-506
summary	Design tools like Grasshopper are often used to either generate novel forms, to automate certain design processes or to incorporate scientific factors. However, any Grasshopper definition has certain assumptions about design and space built into it from its earliest genesis, when the initial algorithm is set out. Correspondingly, implicit theoretical positions are built into definitions, and therefore its results. Approaching parametric design as a question of architectural, landscape architectural or urban design theory allows the breaking down of traditional boundaries between the technical and the historical or theoretical, and the way parametric design, and urban design history & theory, can be conveyed in the teaching environment. Once the boundaries between software and history & theory are transgressed, Grasshopper can be a way of testing the principles embedded in historical designs and thus these two disciplines can be joined. In urban design, there is an inherent clash between an ideal model and existing urban geography or morphology, and also between formal (qualitative) and numerical (quantitative) aspects. If a model provides a necessary vision for future development, an existing topography then results from the continuous human and natural modifications of a territory. To explore this hypothesis, the “Urban Design Representation” subject in the Master of Urban Design program at the University of Cape Town taught in 2017 & 2018 was approached “parametrically” from these two opposite, albeit convergent, starting points: the conceptual/rational versus the physical/empiric representations of a territory. In this framework, Grasshopper was used to represent typical standards and parameters of modern urban planning (for example, Floor/Area Ratio, height and distance between buildings, site coverage, etc), and a typological approach was adopted to study and “decode” the relationship between public and private space, between the street, the block and topography, between solids and voids. This methodology permits a cross-comparison of different urban design models and the immediate evaluation of their formal outputs derived from parametric data.
series	ASCAAD
email
last changed	2021/08/09 13:13

_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	acadia21_70
id	acadia21_70
authors	McAndrew, Claire; Jaschke, Clara; Retsin, Gilles; Saey, Kevin; Claypool, Mollie; Parissi, Danaë
year	2021
title	House Block
source	ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 70-75.
doi	https://doi.org/10.52842/conf.acadia.2021.070
summary	House Block was a temporary housing prototype in East London, UK from April to May 2021. The project constituted the most recent in a series of experiments developing Automated Architecture (AUAR) Labs’ discrete framework for housing production, one which repositions the architect as curator of a system and enables participants to engage with active agency. Recognizing that there is a knowledge gap to be addressed for this reconfiguration of practices to take form, this project centred on making automation and its potential for local communities tangible. This sits within broader calls advocating for a more material alignment of inclusive design with makers and 21st Century making in practice (see, for example, Luck 2018). House Block was designed and built using AUAR’s discrete housing system consisting of a kit of parts, known as Block Type A. Each block was CNC milled from a single sheet of plywood, assembled by hand, and then post-tensioned on site. Constructed from 270 identical blocks, there are no predefined geometric types or hierarchy between parts. The discrete enables an open-ended, adaptive system where each block can be used as a column, floor slab, wall, or stair—allowing for disconnection, reconfiguration, and reassembly (Retsin 2019). The democratisation of design and production that defines the discrete creates points for alternative value systems to enter, for critical realignments in architectural production.
series	ACADIA
type	project
email
last changed	2023/10/22 12:06

_id	caadria2021_262
id	caadria2021_262
authors	Olthof, Owen, Globa, Anastasia and Stracchi, Paolo
year	2021
title	SISTEMA NERVI - Sustainable Production of Optimised Floor Slabs Through Digital Fabrication
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 723-732
doi	https://doi.org/10.52842/conf.caadria.2021.1.723
summary	'Sistema Nervi' (the Nervi System) invented by Pier Luigi Nervi greatly economised the production of complex concrete forms optimised in both material usage and structurally. However it did not translate well into other contexts due to labour and material considerations (Leslie, 2018). This paper explores novel methodologies of producing optimised floor slabs and concrete structures, using digital fabrication techniques, focusing on both labour economisation and sustainability principles. A module from the Australia Square lobby slab has been used as the set geometry and was reproduced using differing techniques of fabrication for a comparative study. The study was conducted at scale (1:20). The viability for production at full scale (1:1) for manufacturing is discussed. The assessment criteria for the tests are divided into four categories: Cost, Time, Performance, and Sustainability. 3D printing of PLA plastic and ceramic clay extrusion printing has been used to produce removable or degradable formworks. These technologies have been selected due to their current market availability and associated costs. This study hopes to introduce improved methodologies for producing optimized concrete forms, as well as the sustainability potentials of a degradable formwork such as ceramic clay. Both systems were ultimately able to produce workable formworks for optimised shapes and showed promise for reducing labour involved as well as presenting with material sustainability for discussion.
keywords	Concrete formwork; Sustainability; Degradable formwork; Optimised concrete; Advanced fabrication
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	ecaade2023_10
id	ecaade2023_10
authors	Sepúlveda, Abel, Eslamirad, Nasim and De Luca, Francesco
year	2023
title	Machine Learning Approach versus Prediction Formulas to Design Healthy Dwellings in a Cold Climate
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. 359–368
doi	https://doi.org/10.52842/conf.ecaade.2023.2.359
summary	This paper presents a study about the prediction accuracy of daylight provision and overheating levels in dwellings when considering different methods (machine learning vs prediction formulas), training, and validation data sets. An existing high-rise building located in Tallinn, Estonia was considered to compare the best ML predictive method with novel prediction formulas. The quantification of daylight provision was conducted according to the European daylight standard EN 17037:2018 (based on minimum Daylight Factor (minDF)) and overheating level in terms of the degree-hour (DH) metric included in local regulations. The features included in the dataset are the minDF and DH values related to different combinations of design parameters: window-to-floor ratio, level of obstruction, g-value, and visible transmittance of the glazing system. Different training and validation data sets were obtained from a main data set of 5120 minDF values and 40960 DH values obtained through simulation with Radiance and EnergyPlus, respectively. For each combination of training and validation dataset, the accuracy of the ML model was quantified and compared with the accuracy of the prediction formulas. According to our results, the ML model could provide more accurate minDF/DH predictions than by using the prediction formulas for the same design parameters. However, the amount of room combinations needed to train the machine-learning model is larger than for the calibration of the prediction formulas. The paper discuss in detail the method to use in practice, depending on time and accuracy concerns.
keywords	Optimization, Daylight, Thermal Comfort, Overheating, Machine Learning, Predictive Model, Dwellings, Cold Climates
series	eCAADe
email
last changed	2023/12/10 10:49

_id	sigradi2018_1728
id	sigradi2018_1728
authors	Cassiano, Moacir; L. Félix, Lilian; Griz, Cristiana
year	2018
title	Shape Grammar applied to urban morphology studies: land subdivision in urbanized areas.
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. 346-352
summary	Currently, the land regulation plans define the urban micro-scale, producing standardized and pre-dimensioned blocks and lots, generating monotony, poor urban quality and high infrastructure costs. In the quest for sustainability, studies point to a density and a certain degree of population density to enable urban infrastructures with qualitative and quantitative gains, through concepts of compactness, completeness and connectivity. This study presents possibilities of batch sizing using the Grammatical method of the Form, through morphological configurations and rules presents possibilities of generation of new formats, distribution of urban lots in the neighborhood Valentina, in João Pessoa - PB and discusses results.
keywords	Urban Lots; Shape Grammar; Sustainability; Urban Density;
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	acadia18_156
id	acadia18_156
authors	Huang, Weixin; Zheng, Hao
year	2018
title	Architectural Drawings Recognition and Generation through Machine Learning
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 156-165
doi	https://doi.org/10.52842/conf.acadia.2018.156
summary	With the development of information technology, the ideas of programming and mass calculation were introduced into the design field, resulting in the growth of computer- aided design. With the idea of designing by data, we began to manipulate data directly, and interpret data through design works. Machine Learning as a decision making tool has been widely used in many fields. It can be used to analyze large amounts of data and predict future changes. Generative Adversarial Network (GAN) is a model framework in machine learning. It’s specially designed to learn and generate output data with similar or identical characteristics. Pix2pixHD is a modified version of GAN that learns image data in pairs and generates new images based on the input. The author applied pix2pixHD in recognizing and generating architectural drawings, marking rooms with different colors and then generating apartment plans through two convolutional neural networks. Next, in order to understand how these networks work, the author analyzed their framework, and provided an explanation of the three working principles of the networks, convolution layer, residual network layer and deconvolution layer. Lastly, in order to visualize the networks in architectural drawings, the author derived data from different layer and different training epochs, and visualized the findings as gray scale images. It was found that the features of the architectural plan drawings have been gradually learned and stored as parameters in the networks. As the networks get deeper and the training epoch increases, the features in the graph become more concise and clearer. This phenomenon may be inspiring in understanding the designing behavior of humans.
keywords	full paper, design study, generative design, ai + machine learning, ai & machine learning
series	ACADIA
type	paper
email
last changed	2022/06/07 07:49

_id	ecaade2018_w04
id	ecaade2018_w04
authors	Koenig, Reinhard, Beilik, Martin, Knecht, Katja, Abdulmawla, Abdulmalik and Fuchkina, Ekaterina
year	2018
title	New Methods for Urban Analysis and Simulation with Grasshopper - Using DeCodingSpaces-Toolbox
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. 65-68
doi	https://doi.org/10.52842/conf.ecaade.2018.1.065
summary	This workshop presents a collection of methods that supports the creation of urban masterplans. These methods are also used for evaluating the performance of the generated plans using advanced performance analysis tools as well as design exploration tools. During a one-day-workshop, the participants will practice using these tools in three parts; Street Network Generation, Synthesis of urban morphology, and Design-Space-Exploration. All the tools are integrated in one library called DeCodingSpaces-Toolbox for the parametric modelling environment Grasshopper.
keywords	Urban Generation and Analysis; Urban Simulation; Design Space Exploration
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ecaade2018_178
id	ecaade2018_178
authors	Kroc, Tomasz and Walczak, Bartosz M.
year	2018
title	GIS Technologies Implementation Based on The EU Directive Inspire - A case study of the Pabianice city
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. 489-496
doi	https://doi.org/10.52842/conf.ecaade.2018.1.489
summary	This paper presents the experience of implementating GIS technologies at a county town urban planning department. The necessity to implement GIS technology is partly dictated by the requirements of the INSPIRE Directive. The discussed case provides valuable information about the problems and challenges that cities have in Poland, while performing their obligations under the directive. The process of preparing the necessary geographical database corresponding to existing planning documents raises many legal and technical problems. The presented case illustrates the whole process associated with the preparation of digitization and publication of urban plans. At the same time, it is worth to see the numerous benefits that the city obtains after publishing GIS data. Attention should also be paid to the further development of GIS and the chances of their use, especially in urban centers.
keywords	INSPIRE; GIS technologies implementation; urban planning; sharing geographic dates
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ecaade2018_398
id	ecaade2018_398
authors	Papavasiliou, Mattheos
year	2018
title	The Didactic Aspect of Ars Combinatoria in Architectural Design - Employing syntactic ("space syntax") formulations to communicate architectural design to students of Architecture.
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. 525-530
doi	https://doi.org/10.52842/conf.ecaade.2018.2.525
summary	This paper presents educative aspects of visualization techniques based on an idea by B. Hillier to illustrate architectural forms with the space syntax theory. It explores and renders the technique of transformation and implementation of syntactic analysis in order to convey to students of Architecture spatial concepts and to differentiate spatial arrangements that present understandably similarities and differences. The technique is applied to plans of well-known examples from the history of Architecture and illustrates to a sufficient extent the theoretical interpretations taught in the architectural design studio.
keywords	architectural configuration; design strategy; design analysis; shape evaluation
series	eCAADe
email
last changed	2022/06/07 08:00

_id	ecaaderis2023_11
id	ecaaderis2023_11
authors	Sepúlveda, Abel, Eslamirad, Nasim, Seyed Salehi, Seyed Shahabaldin, Thalfeldt, Martin and De Luca, Francesco
year	2023
title	Machine Learning-based Optimization Design Workflow based on Obstruction Angles for Building Facades
source	De Luca, F, Lykouras, I and Wurzer, G (eds.), Proceedings of the 9th eCAADe Regional International Symposium, TalTech, 15 - 16 June 2023, pp. 15–24
summary	This paper proposes a ML-based optimization design workflow based on obstruction angles for the optimization of building facades (i.e. g-value and window width). The optimization output consists of the optimal clustering of windows in order to ensure a desired level of daylight provision according to method 2 defined in the EN17307:2018 (i.e. based on Spatial Daylight Autonomy: sDA) and to not exceed a maximum level of specific cooling capacity (SCC). The independent variables or design parameters of the parametric model are: room orientation/dimensions, window dimensions, and obstruction angle (??). The ML prediction models were trained and tested with reliable simulation results using validate softwares. The total number of room combinations is 61440 for sDA and SCC simulations. The development of reliable (90% of right predictions) ML predictive models based on decision tree technique were calibrated. The optimal clustering of windows was done first by floors and secondly by the designer’s need to homogenize the external facade with similar glazing properties and window sizes, having impact on the annual heating consumption. The proposed method help designers to make accurate and faster design decisions during early design stages and renovation plans.
keywords	optimization, daylight, thermal comfort, cooling capacity, machine-learning predictive model, office buildings, cold climates
series	eCAADe
email
last changed	2024/02/05 14:28

_id	sigradi2018_1353
id	sigradi2018_1353
authors	Verissimo, Cristina
year	2018
title	Cork: New uses in Architecture
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. 9780-984
summary	Cork usage is one of the most promising trends in sustainable development of materials, due to its unique natural properties, exceptionally good environmental qualities and its high potential to incorporate innovative technology. It can be reused, and it is built with renewable and reusable materials that contain lower levels of embedded energy and carbon. Today amongst other uses we see cork used as a textile for clothing, in automobile parts, and as a thermal shield in space crafts. However, there is still a lack of information and diffusion within the engineering and architecture sectors; stakeholders lack awareness of how to use and select cork materials for construction, compared with other competing products. This research plans to explore future cork industry developments, cork recycling and new cork-based materials, which are still in various stages of development with enormous potential for construction as an eco-friendly solution. The aim is to test or adapt them to be used in construction, with an emphasis in CAD/CAM fabrication processes. Hoping that in the future there will be greater application in architecture and eventually will contribute to greater sustainability in the construction business as well as the cork sector.
keywords	Cork; Sustainable material; Materials engineers design; Architecture; Culture
series	SIGRADI
email
last changed	2021/03/28 19:59

_id	sigradi2018_1813
id	sigradi2018_1813
authors	Gomes Vieira de Jesus, Elaine; Leão de Amorim, Arivaldo; Groetelaars, Natalie Johanna; de Oliveira Fernandes, Vivian
year	2018
title	Urban modeling for 3D GIS purposes from laser scanning: an implementation for university campus
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. 617-624
summary	3D Geographic Information Systems (3D GIS) are systems capable of performing spatial analyzes that consider a three-dimensional representation of objects, through their planialtimetric coordinates. City Geography Markup Language (CityGML) is used for city and urban applications. The main challenges for this system implementation refer to the techniques used to obtain data, and their formats, in addition to the various software used in geometric modeling. In this way, this article aims to discuss geometric modeling for a university campus using airborne laser scanning data, aiming at the creation of database for applications development.
keywords	3D GIS; SIG 3D; CityGML; Geometric modeling
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	caadria2018_173
id	caadria2018_173
authors	Stouffs, Rudi
year	2018
title	A Triple Graph Grammar Approach to Mapping IFC Models into CityGML Building Models
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. 41-50
doi	https://doi.org/10.52842/conf.caadria.2018.2.041
summary	A triple graph grammar approach is adopted as a formal framework for semantic and geometric conversion of IFC models into CityGML Level of Detail 3/4 building models. The triple graph grammar approach supports a semantic mapping from IFC to CityGML, the generation of conversion routines from this mapping, and an incremental approach to achieving a "complete and near-lossless" mapping. The objective of this approach is the development of a methodology and algorithms to automate the conversion of Building Information Models into CityGML building models, capturing both geometric and semantic information as available in the BIM models, in order to create semantically enriched 3D city models that include both exterior and interior structures.
keywords	BIM; CityGML; conversion; semantic; automated
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2018_265
id	ecaade2018_265
authors	Tauscher, Helga and Stouffs, Rudi
year	2018
title	An IFC-to-CityGML Triple Graph Grammar
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. 517-524
doi	https://doi.org/10.52842/conf.ecaade.2018.1.517
summary	A triple graph grammar has been adopted as a formal framework for semantic and geometric conversion of IFC models into CityGML Level of Detail (LoD) 3/4 building models. The advantages of a triple graph grammar approach are threefold: firstly, it allows for the conversion rules to be graphically defined; secondly, the generation of the conversion routines corresponding to these rules can be automated; and, thirdly, a complete mapping can be achieved in an incremental way by adding rule by rule.The objective of this work is the development of a methodology and algorithms to automate the conversion of Building Information Models into CityGML building models, capturing both geometric and semantic information as available in the BIM models, in order to create semantically enriched 3D city models that include both exterior and interior structures such as corridors, rooms, internal doors, and stairs.
keywords	BIM; CityGML; Triple Graph Grammar; conversion
series	eCAADe
email
last changed	2022/06/07 07:58

_id	ecaade2018_360
id	ecaade2018_360
authors	Zwoliñski, Adam
year	2018
title	Area and Volume Quantification of Open Spaces in Urban Structures Using 3d-Negative (N3D)
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. 531-538
doi	https://doi.org/10.52842/conf.ecaade.2018.1.531
summary	The article, in the general extent, touches upon issue of the awareness of the cityscape in morphological terms. It concerns in particular the system of open spaces as an unique component of the urban structure of cities. The measurability of the phenomena still seems to be a challenge. The considerations presented in the article are embedded in the environment of virtual city models. The 3D-Negative (N3D) method developed by the author for generating and analyzing open space geometries in the virtual city model environment is used for example area and volume representation of urban structures in terms of space between buildings. The source analytic virtual city model data is generated on the basis of combination of DSM and DTM models. The cases discussed in the article prove the intuitive perception of open spaces in a quantifiable way. In the aspect of spatial data standardization, the presented analyses are embedded in the cityGML LOD1 standard.
keywords	virtual city models; open spaces morphology; geometry of cityscape; 3D-Negative (N3D); advanced urban analyses
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2018_370
id	ecaade2018_370
authors	Abdelmohsen, Sherif, Massoud, Passaint, El-Dabaa, Rana, Ibrahim, Aly and Mokbel, Tasbeh
year	2018
title	A Computational Method for Tracking the Hygroscopic Motion of Wood to develop Adaptive Architectural Skins
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. 253-262
doi	https://doi.org/10.52842/conf.ecaade.2018.2.253
summary	Low-cost programmable materials such as wood have been utilized to replace mechanical actuators of adaptive architectural skins. Although research investigated ways to understand the hygroscopic response of wood to variations in humidity levels, there are still no clear methods developed to track and analyze such response. This paper introduces a computational method to analyze, track and store the hygroscopic response of wood through image analysis and continuous tracking of angular measurements in relation to time. This is done through a computational closed loop that links the smart material interface (SMI) representing hygroscopic response with a digital and tangible interface comprising a Flex sensor, Arduino kit, and FireFly plugin. Results show no significant difference between the proposed sensing mechanism and conventional image analysis tracking systems. Using the described method, acquiring real-time data can be utilized to develop learning mechanisms and predict the controlled motion of programmable material for adaptive architectural skins.
keywords	Hygroscopic properties of wood; Adaptive architecture; Programmable materials; Real-time tracking
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2018_138
id	ecaade2018_138
authors	Abdulmawla, Abdulmalik, Schneider, Sven, Bielik, Martin and Koenig, Reinhard
year	2018
title	Integrated Data Analysis for Parametric Design Environment - mineR: a Grasshopper plugin based on R
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. 319-326
doi	https://doi.org/10.52842/conf.ecaade.2018.2.319
summary	In this paper we introduce mineR- a tool that integrates statistical data analysis inside the parametric design environment Grasshopper. We first discuss how the integration of statistical data analysis would improve the parametric modelling workflow. Then we present the statistical programming language R. Thereafter, we show how mineR is built to facilitate the use of R in the context of parametric modelling. Using two example cases, we demonstrate the potential of implementing mineR in the context of urban design and analysis. Finally, we discuss the results and possible further developments.
keywords	Statistical Data Analysis; Parametric Design
series	eCAADe
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last changed	2022/06/07 07:54

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