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	ecaade2014_194
id	ecaade2014_194
authors	Zi Qian, Brian Agnew and Emine Mine Thompson
year	2014
title	Simulation of Air flow, Smoke Dispersion and Evacuation of the Monument Metro Station based on Subway Climatology
doi	https://doi.org/10.52842/conf.ecaade.2014.1.119
source	Thompson, Emine Mine (ed.), Fusion - Proceedings of the 32nd eCAADe Conference - Volume 1, Department of Architecture and Built Environment, Faculty of Engineering and Environment, Newcastle upon Tyne, England, UK, 10-12 September 2014, pp. 119-128
summary	This research is creating a working laboratory in Newcastle Monument metro station to understand the details of how the over ground climate influences the internal airflow and the impact this has on evacuation strategies. It is intended to link weather data with the background air flow in the station and identify the main driving forces for the dispersion of smoke or toxic agents throughout the station. The subway air flow will be evaluated and then interfaced with a VR simulation of the station and adjoining tunnels to produce a visual diagnostic and predictive tool. This data, with existing pedestrian movement modelling, will assist in identifying the correct evacuation procedures to minimise the exposure time of individuals to a smoke filled environment. The final outcome of this work will be a decision making process with regard to the initiation of effective measures to minimize the impact of fire within a subway that can be used at the initial design period to evaluate proposed evacuation routes.
wos	WOS:000361384700011
keywords	Subway climatology; smoke and fire cfd simulation; tunnel safety; emergency ventilation
series	eCAADe
email
last changed	2022/06/07 07:57

_id	acadia22_474
id	acadia22_474
authors	Zidek, Juliette; Aman, Laurin; Li, Xinran; Alhashemi, Jumaanah; Meibodi, Mania Aghaei
year	2022
title	Integrative Green Building Envelope
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 474-485.
summary	While conventional green wall systems are often materially inefficient due to a lack of integration with functional building envelope layers, this research investigates the potential of large-scale 3D printing with robotic pellet extrusion (RPE) to produce a novel integrative green building envelope system. The developed envelope system fosters the growth of a self-watering, diverse plant ecology to passively cool buildings, filter contaminants from polluted air, and attract diverse forms of wildlife. This paper presents the conceptualization, design, and prototypes of the Integrative Green Building Envelope (IGBE) system.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:04

_id	cdrf2022_326
id	cdrf2022_326
authors	Zidong Liu, Yan Li, and Xiao Xiao
year	2022
title	Predicting the Vitality of Stores Along the Street Based on Business Type Sequence via Recurrent Neural Network
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_29
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	The rational planning of store types and locations to maximize street vitality is essential in real estate planning. Traditional business planning relies heavily on the subjective experience of developers. Currently, developers have access to low-resolution urban data to support their decision making, and researchers have done much image-based machine learning research from the scale of urban texture. However, there is still a lack of research on the functional layout with shop-level accuracy. This paper uses a sequence-based neural network (RNN) to explore the relationship between the sequence of store types along a street and its commercial vitality. Currently, the use of RNNs in the architectural and urban fields is very rare. We use customer review data of 80streets from O2O platforms to represent the store vitality degree. In the machine learning model, the input is the sequence of store types on the street, and the output is the corresponding sequence of business vitality indexes. After training and evaluation, the model was shown to have acceptable accuracy. We further combined this evaluation model with a genetic algorithm to develop a business planning optimization tool to maximize the overall street business value, thus guiding real estate business planning at a high resolution.
series	cdrf
email
last changed	2024/05/29 14:03

_id	ecaade2021_235
id	ecaade2021_235
authors	Ziegler, Christoph, Bielski, Jessica and Langenhan, Christoph
year	2021
title	This Is How We Do It - Observing architects sketch to inform effective recognition of semantic building information
doi	https://doi.org/10.52842/conf.ecaade.2021.1.393
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 393-402
summary	Sketching is an effective means for architects to develop design thoughts and to communicate ideas. It is a promising method for an interaction with CAAD systems that integrates naturally in the process of early conceptual design. A challenge for the realisation of sketched-based interaction, is for the computer to recognise what the designer is drawing. To inform the development of effective methods for the recognition of semantic building information in schematic layout sketches, we seek for a better understanding of how designers encode this information in their sketches. We therefore piloted a remote user study with trained architects (n=7). The results show variance in the use of symbols and in the drawing technique. However, we also observe commonalities in the approach. Participants always draw the perimeter first and then subdivide the enclosed space. We identified three techniques for subdivision: cut lines, open shapes, closed shapes. Also we identified four different types of information in participants' sketches and observed that certain types of objects are prevalent in all sketches. We discuss consequences of our observations for sketch recognition systems and considerations for the design of a follow-up study.
keywords	sketching; sketch-based interaction; user study; recognition; semantic building information; BIM
series	eCAADe
email
last changed	2022/06/07 07:57

_id	architectural_intelligence2022_17
id	architectural_intelligence2022_17
authors	Zihuan Zhang, Zao Li & Zhe Guo
year	2022
title	EEG-based spatial elements optimisation design method
doi	https://doi.org/https://doi.org/10.1007/s44223-022-00017-6
source	Architectural Intelligence Journal
summary	In the field of digital design, a recent hot topic is the study of the interaction between spatial environment design and human factors. Electroencephalogram (EEG) and eye tracking can be used as quantitative analysis methods for architectural space evaluation; however, conclusions from existing studies on improving the quality of spatial environments based on human factors tend to remain qualitative. In order to realise the quantitative optimisation design of spatial elements from human physiological data, this research used the digital space optimisation method and perceptual evaluation research. In this way, it established an optimisation method for built space elements in real-time using human psychological indicators. Firstly, this method used the specific indicators of the Meditation value and Attention value in the human EEG signal, taking the ThinkGear AM (TGAM) module as the optimisation objective, the architectural space colour and the window size as the optimisation object, and the multi-objective genetic algorithm as the optimisation tool. Secondly, this research combined virtual reality scenarios and parametric linkage models to realise this optimisation method to establish a tool platform and workflow. Thirdly, this study took the optimisation of a typical living space as an example and recruited 50 volunteers to participate in an optimisation experiment. The results indicated that with the iterative optimisation of the multi-objective genetic algorithm, the specific EEG index decreases significantly and the standard deviation of the in-dex fluctuates and decreases during the iterative process, which further indicates that the optimisation method established in this study with the specific EEG index as the optimisation objective is effective and feasible. In addition, this study laid the foundation for more EEG indicators and more complex spatial element opti-misation research in the future.
series	Architectural Intelligence
email
last changed	2025/01/09 15:00

_id	cdrf2022_125
id	cdrf2022_125
authors	Zihuan Zhang, Zao Li, and Zhe Guo
year	2022
title	Research on Real-Time Interactive Spatial Element Optimization Method Based on EEG Signal—Taking Indoor Space Color and Window Opening Size as the Optimization Object
doi	https://doi.org/https://doi.org/10.1007/978-981-19-8637-6_11
source	Proceedings of the 2022 DigitalFUTURES The 4st International Conference on Computational Design and Robotic Fabrication (CDRF 2022)
summary	In recent years, the research on digital design and perceptual evaluation has gradually become a hot topic in the field of digital design. Based on digital space optimization theory and perceptual evaluation tools, this study attempts to establish an optimization method to optimize built space elements in real-time using human psychological indicators. This method takes the specific indicators of the Meditation value and Attention value in the human EEG signal analyzed by the TGAM module as the optimization objective, the architectural space color and the window size as the optimization object, and the multi-objective genetic algorithm as the optimization tool. To realize this optimization method, this research combines virtual reality scene and parametric linkage model to establish tool platform and workflow. Taking the optimization of typical residential space as an example by recruiting 50 volunteers to participate in the experiment, this study concludes that this method is effective and feasible through experiment and quantitative analysis of experimental results and lays the foundation for more EEG indicators and more complex spatial element optimization research in the future.
series	cdrf
email
last changed	2024/05/29 14:02

_id	acadia22_150
id	acadia22_150
authors	Zilka, Leanne; Underwood, Jenny
year	2022
title	From Garment to Building
source	ACADIA 2022: Hybrids and Haecceities [Proceedings of the 42nd Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9860805-8-1]. University of Pennsylvania Stuart Weitzman School of Design. 27-29 October 2022. edited by M. Akbarzadeh, D. Aviv, H. Jamelle, and R. Stuart-Smith. 150-155.
summary	The research shown here revolves around an installation at the National Gallery of Victoria, Melbourne, Australia. It illustrates a novel approach to the design of building elements by combining the expertise embedded in the disciplines of architecture and textile design into a hybrid practice. We found that by using textile technologies to ‘build’ architectural elements we can rethink waste in construction, expand the materials available for use in architecture, as well as minimize time involved in the post-fabrication of complex forms. This paper describes an installation that demonstrates a direct translation between architectural form and whole garment knitting machines without the need for prototyping.
series	ACADIA
type	paper
email
last changed	2024/02/06 14:00

_id	sigradi2023_11
id	sigradi2023_11
authors	Zimmermann Machado, Daniel and Quadrado Mussi, Andrea
year	2023
title	Dynamo, Grasshopper and their plugins: User opinion, usability and dissemination of knowledge
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 241–252
summary	Parametric design applications have specific applications for different user profiles. Considering the two main tools available, this research seeks to identify the diffusion and usability of Dynamo (Autodesk) and Grasshopper (Robert McNeel) software. First, a systematic review of the bibliography in journals was carried out, where it was found that 85.25% of these users use Grasshopper, while 13.1% use Dynamo, and 1.6% use both tools. Next, qualitative research was carried out in the applications' discussion forums, where opinions and experiences of the community were obtained. Grasshopper proved capable of processing more complex geometries with a large number of modeling and design analysis plugins. Dynamo, on the other hand, proved to be better integrated with BIM systems, as well as being widely used in design process optimization and documentation generation.
keywords	Design, Parametric, Architecture, Dynamo, Grasshopper.
series	SIGraDi
email
last changed	2024/03/08 14:06

_id	ddss2008-41
id	ddss2008-41
authors	Zimmermann, Gerhard
year	2008
title	Individual Comfort in Open-Plan OfficesA Case Study
source	H.J.P. Timmermans, B. de Vries (eds.) 2008, Design & Decision Support Systems in Architecture and Urban Planning, ISBN 978-90-6814-173-3, University of Technology Eindhoven, published on CD
summary	Although it was proven by many field studies of office environments that complete thermal user satisfaction can only be achieved by setting the indoor climate to individual user preferences, open-plan offices do not support this requirement. In addition, irregular occupancy of such offices leads to suboptimal energy usage. This paper will show how the design of such offices can be supported by tools that integrate individual thermal user preferences and schedules into performance simulations to test and evaluate different partitioning structures, HVAC equipment, and control strategies in regard to satisfaction and energy consumption. A case study is used as demonstrator.
keywords	Computer Aided Architectural Design, Simulation of Users and the Built Environment, User Satisfaction
series	DDSS
last changed	2008/09/01 17:06

_id	6b44
id	6b44
authors	Zimring, Craig and Ataman, Osman
year	1994
title	Incorporating Guidelines Into a Case-Based Architectural Design Tool
doi	https://doi.org/10.52842/conf.acadia.1994.087
source	Reconnecting [ACADIA Conference Proceedings / ISBN 1-880250-03-9] Washington University (Saint Louis / USA) 1994, pp. 87-101
summary	This paper discusses an ongoing project called Archie, a collaboration between cognitive scientists and researchers in artificial intelligence and architecture, aimed at creating computer-based aids for conceptual design. Archie is a "case-based design aid" (CBDA): a tool that provides designers flexible access to evaluated examples of past experience that they can use in their own designs. Archie is a "clever" hypermedia database aimed at aiding conceptual design in architecture. It contains about 200 problems, responses, stories, and building descriptions derived from evaluations of six libraries and two courthouses. In this paper we provide a brief history and description of Archie and discuss some issues that have come into focus through developing and initially evaluating the system: how specific architectural case information can be organized; how users can be provided more general information about issues and building types; and how information can be indexed. In each of these we briefly discuss the current state of the system and propose some potential future directions.
series	ACADIA
email
last changed	2022/06/07 07:57

_id	dd19
authors	Ziuriene, Ryte
year	2001
title	Some Problems of Intellectual Data Management in CAAD
doi	https://doi.org/10.52842/conf.ecaade.2001.161
source	Architectural Information Management [19th eCAADe Conference Proceedings / ISBN 0-9523687-8-1] Helsinki (Finland) 29-31 August 2001, pp. 161-164
summary	An example of the list of school spaces made according to the strictly recommended standards is given in the article. A concept of computer-aided evaluation of various design parameters (i.e. lighting of the spaces, their position and geographical orientation, etc.) based on different regulating statements is presented.
keywords	CAAD, Standards, Space Design, Intellectual Data Management
series	eCAADe
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
doi	https://doi.org/10.52842/conf.acadia.2017.660
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 660- 669
summary	Open source frameworks have enabled widespread access to desktop-scale additive manufacturing technology and software, but very few highly hackable large-scale or industrial open source equipment platforms exist. As research trajectories continue to move towards large-scale experimentation and full-scale building construction in robotic and digital fabrication, access to industrial fabrication equipment is critical. Large-scale digital fabrication equipment usually requires extensive start-up investments which becomes a prohibitive factor for open research. Expanding on the idea of the Fab Lab as well as the RepRap movement, the Open Source Factory takes advantage of disciplinary expertise and trans-disciplinary knowledge in construction machine design accumulated over the past decade. With the goal to democratize access to large-scale industrial fabrication equipment, this paper outlines the creation of two full-scale fabrication systems: a RepRap based large-scale 3-axis open source CNC gantry and a 6-axis industrial robot system based on a decommissioned KUKA KR200/2. Both machines offer radically different economic frameworks for implementing research in advanced full scale robotic fabrication into contexts of pedagogy, the research lab, practice, or small scale local building industry. This research demonstrates that such equipment can be implemented by building on the current knowledge base in the field. If industrial robots and other large-scale fabrication tools become accessible for all, the collective sharing of research and the development of new ideas in full-scale robotic building construction can be substantially accelerated.
keywords	education, society & culture; CAM; prototyping; construction/robotics; education; digital heritage
series	ACADIA
email
last changed	2022/06/07 07:57

_id	acadia18_302
id	acadia18_302
authors	Zivkovic, Sasa; Battaglia, Christopher
year	2018
title	Rough Pass Extrusion Tooling. CNC post-processing of 3D-printed sub-additive concrete lattice structures
doi	https://doi.org/10.52842/conf.acadia.2018.302
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. 302-311
summary	Rough Pass Extrusion Tooling advances the manufacturing precision of full-scale Sub-Additive 3D printed concrete lattices in a three-step process that involves spatial 3D printing, high precision 3D scanning, and CNC post-processing. Utilizing robotics and computation, Sub-Additive Manufacturing (Battaglia et al. 2018) leverages digital workflows to produce structurally, materially, and spatially optimized lightweight concrete building components. Instead of further refining the 3D printing practice towards accuracy, and unlike other research projects that investigate 3D printing and subsequent post-processing, the method proposes to deliberately print a “rough pass”, accommodating any fabrication inaccuracy inevitably resulting from the concrete material and nozzle extrusion process. In a second step, supported by the advancement of 3D scanning, accuracy and geometric intricacy are achieved through locally post-processing components along edges, in pockets, on surfaces, and in areas of joinery. Rough Pass Extrusion Tooling enables the incorporation of higher fabrication tolerances as well as the integration of building systems, hardware, and complex connections. The method takes full advantage of the 3D printing process while introducing means to dramatically increase fabrication precision. Procedural infidelity – not aiming to solve accuracy through 3D printing alone – enables the development of a technically, methodologically, aesthetically, and performatively progressive multi-process fabrication method which opens a new realm for concrete printing accuracy. This paper closely examines CNC post-processing for Sub-Additive concrete print assemblies, addressing methodologies, opportunities, and shortcomings of such an approach.
keywords	full paper, fabrication & robotics, materials/adaptive systems, digital craft, fabrication tolerances
series	ACADIA
type	paper
email
last changed	2022/06/07 07:57

_id	acadia20_114p
id	acadia20_114p
authors	Zivkovic, Sasa; Havener, Brian; Battaglia, Christopher
year	2020
title	Log Knot
source	ACADIA 2020: Distributed Proximities / Volume II: Projects [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95253-6]. Online and Global. 24-30 October 2020. edited by M. Yablonina, A. Marcus, S. Doyle, M. del Campo, V. Ago, B. Slocum. 114-119.
summary	Log Knot, developed by the Robotic Construction Laboratory (RCL) at Cornell University, is a robotically fabricated architectural installation that establishes a method for variable compound timber curvature creation utilizing both regular and irregular roundwood geometries. Moreover, the project develops methods for minimal formwork assembly and moment force optimization of customized mortise and tenon joints. Following the logic of a figure-8 knot, the project consists of an infinite loop of roundwood, curving three-dimensionally along its length. There are a variety of techniques to generate single curvature in wood structures – such as steam bending (Wright et al., 2013) or glue lamination (Issa and Kmeid, 2005) – but only a few techniques to generate complex curvature from raw material within a single wooden structural element exist. To construct complex curvature, the research team developed a simple method that can easily be replicated. First, the log is compartmentalized, establishing a series of discrete parts. Second, the parts are reconfigured into a complex curvature “whole” by carefully manipulating the assembly angles and joints between the logs. Timber components reconfigured in such a manner can either follow planar curvature profiles or spatial compound curvature profiles. Based on knowledge gained from the initial joinery tests, the research team developed a custom tri-fold mortise and tenon joint, which is self-supportive during assembly and able to resist bending in multiple directions. Using the tri-fold mortise and tenon joint, a number of full-scale prototypes were created to test the structural capacity of the overall assembly. Various structural optimization protocols are deployed in the Log Knot project. While the global knot form is derived from spatial considerations – albeit within the structurally sound framework of a closed-loop knot structure – the project is structurally optimized at a local level, closely calibrating structural cross-sections, joinery details, and joint rotation in relation to prevailing load conditions.
series	ACADIA
type	project
email
last changed	2021/10/26 08:03

_id	8c9e
authors	Zohar, Ruth and Shaviv, Edna
year	1988
title	A Decision-Making Model for Optimizing Solar Retrofit : Solar Vis-A-Vis Conservation
source	1988? pp. [5] : ill. : tables. includes bibliography
summary	A decision making model for selecting the optimal or quasi optimal solar retrofit design solutions for low-income residential buildings is presented. The model can serve the architect as a tool and provide guidance on how to improve the building's thermal performance during the different design stages. The model allows him to consider the contribution of energy conservation solutions vis-a-vis solar energy gains solutions based on accumulating knowledge of design precedents. It also allows the use of different strategies for searching the solutions that best fits the different design stages. The sensitivity of the suggested decision making model was checked and satisfactory results obtained
keywords	decision making, energy, architecture, optimization, conservation, simulation, precedents, knowledge
series	CADline
email
last changed	2003/06/02 10:24

_id	e469
authors	Johnson, Brian R.
year	1993
title	The Graphics Application Paradigm: A Framework for User Understanding of CG/CAD Applications
doi	https://doi.org/10.52842/conf.acadia.1993.011
source	Education and Practice: The Critical Interface [ACADIA Conference Proceedings / ISBN 1-880250-02-0] Texas (Texas / USA) 1993, pp. 11-20
summary	What do young architects need to know about computer graphics? What "immutable and eternal" models will allow them to perform their best as professional architects? At one time all computer users were computer programmers and the answer was thus rooted in programming expertise, but the era of personally developed software is largely past. An alternative more vocational approach would stress courses in the use of specific programs, but it is hard to imagine a more mutable "object of knowledge" than the practical details of computing in the late twentieth century. In fact, our students are deluged with information: commands, vocabulary, options, sales hyperbole, and "do this, it works" cookbooks. As educators, we face the challenge of identifying that which is "immutable and eternal", and presenting it to our students (and trying to focus their attention on it).
series	ACADIA
email
last changed	2022/06/07 07:52

_id	f773
id	f773
authors	Johnson, Brian R.
year	1990
title	Inside Out
doi	https://doi.org/10.52842/conf.acadia.1990.219
source	From Research to Practice [ACADIA Conference Proceedings] Big Sky (Montana - USA) 4-6 October 1990, pp. 219-231
summary	An effort to generate discussion, this paper suggests that between 1980 and 1990 a significant and undesirable change has occurred in academic architectural CAD. We have moved from being developers of ideas and technology on the inside of the development loop to being consumers of products developed in the commercial market place, outside the loop. Certain negative consequences are discussed. Finally, some suggestions are made for turning ourselves "right side out" again.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:52

_id	acadia20_426
id	acadia20_426
authors	Zohier, Islam; EL Antably, Ahmed; S. Madani, Ahmed
year	2020
title	An AI Lens on Historic Cairo
doi	https://doi.org/10.52842/conf.acadia.2020.1.426
source	ACADIA 2020: Distributed Proximities / Volume I: Technical Papers [Proceedings of the 40th Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-95213-0]. Online and Global. 24-30 October 2020. edited by B. Slocum, V. Ago, S. Doyle, A. Marcus, M. Yablonina, and M. del Campo. 426-434.
summary	Reports show that numerous heritage sites are in danger due to conflicts and heritage mismanagement in many parts of the world. Experts have resorted to digital tools to attempt to conserve and preserve endangered and damaged sites. To that end, in this applied research, we aim to develop a deep learning framework applied to the decaying tangible heritage of Historic Cairo, known as “The City of a Thousand Minarets.” The proposed framework targets Cairo’s historic minaret styles as a test case study for the broader applications of deep learning in digital heritage. It comprises recognition and segmentation tasks, which use a deep learning semantic segmentation model trained on two data sets representing the two most dominant minaret styles in the city, Mamluk (1250–1517 CE) and Ottoman (1517–1952 CE). The proposed framework aims to classify these two types using images. It can help create a multidimensional model from just a photograph of a historic building, which can quickly catalog and document a historic building or element. The study also sheds light on the obstacles preventing the exploration and implementation of deep learning techniques in digital heritage. The research presented in this paper is a work-in-progress of a larger applied research concerned with implementing deep learning techniques in the digital heritage domain.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2021_151
id	ecaade2021_151
authors	Zolghadrasli, Niloofar, Hadighi, Mahyar and Costa, Eduardo
year	2021
title	Computational Generation of Hybrid Façades for a Focal Context - The case of Naser-Khosrow Street in Tehran
doi	https://doi.org/10.52842/conf.ecaade.2021.2.333
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 333-340
summary	The purpose of this paper is to use shape grammar methodology to generate contextualized urban façades within the focal context of Naser-Khosrow Street in Iran's capital city of Tehran. The history of Naser-Khosrow Street, which is considered a significant historic urban space, begins in the Safavid period (1735-1501). Yet, the urban history and historical significance of this street have been neglected in recent years. Evidence of a sense of turmoil and incompatibility between the modern and traditional architectural façades featured on the street is easily observed. Against this background, this paper offers façade models generated based on the computational methodology developed by Hadighi and Duarte (2019, 2020) to determine and capture the hybrid expression of European modernist and American traditional styles. In this spirit, the systematic methodology of shape grammar is expanded to the focal urban area of Naser-Khosrow Street to generate new façade layouts referencing the characteristic features of some of the iconic buildings located there.
keywords	Shape Grammar, Naser -Khosrow Street, Façade Design, Generating Hybridity
series	eCAADe
email
last changed	2022/06/07 07:57

_id	6445
authors	Zorgno, A., Brusasco, P. and Caneparo, L.
year	1996
title	Large-scale Design Project Integration across Computer Networks
doi	https://doi.org/10.52842/conf.ecaade.1996.415
source	Education for Practice [14th eCAADe Conference Proceedings / ISBN 0-9523687-2-2] Lund (Sweden) 12-14 September 1996, pp. 415-425
summary	This paper presents the study of a computer system capable of supporting the information work connected with a design project at an urban scale. The computer system must fulfil a number of specific requirements. First, it must integrate a complex set of instruments for creating, retrieving, manipulating, processing, managing the interaction between the users and the overall information regarding the project. Secondly, it must operate at a geographical level to connect the various actors involved. Third, because of the heterogeneity of the participants involved, it must be compatible with numerous systems, even low entry, to ensure effective accessibility even to small companies, firms and citizens. The computer networks extend the possibility of accessing the information beyond the project employees, towards the citizens. In the computers and in the networks, which connect them, the idea of interaction as communication and reciprocal action is inherent. A result is the possibility of interacting dynamically with the information, of assimilating, modifying, and redistributing it in progress. An high level of accessibility and interactivity with respect to information points to different approaches to architectural design and urban planning.
series	eCAADe
email
last changed	2022/06/07 07:57

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