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

PDF papers
References

Hits 1 to 20 of 617

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

_id	caadria2020_431
id	caadria2020_431
authors	Kim, Jong Bum, Balakrishnan, Bimal and Aman, Jayedi
year	2020
title	Environmental Performance-based Community Development - A parametric simulation framework for Smart Growth development in the United States
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 873-882
doi	https://doi.org/10.52842/conf.caadria.2020.1.873
summary	Smart Growth is an urban design movement initiated by Environmental Protection Agency (EPA) in the United States (Smart Growth America, 2019). The regulations of Smart Growth control urban morphologies such as building height, use, position, section configurations, faÃ§ade configurations, and materials, which have an explicit association with energy performances. This research aims to analyze and visualize the impact of Smart Growth developments on environmental performances. This paper presents a parametric modeling and simulation framework for Smart Growth developments that can model the potential community development scenarios, simulate the environmental footprints of each parcel, and visualize the results of modeling and simulation. We implemented and examined the proposed framework through a case study of two Smart Growth regulations: Columbia Unified Development Code (UDC) in Missouri (City of Columbia Missouri, 2017) and Overland Park Downtown Form-based Code (FBC) in Kansas City (City of Overland Park, 2017, 2019). Last, we discuss the implementation results, the limitations of the proposed framework, and the future work. We anticipate that the proposed method can improve stakeholders' understanding of how Smart Growth developments are associated with potential environmental footprints from an expeditious and thorough exploration of what-if scenarios of the multiple development schemes.
keywords	Smart Growth; Building Information Modeling (BIM); Parametric Simulation; Solar Radiation
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	cf2019_002
id	cf2019_002
authors	De Luca, Francesco
year	2019
title	Environmental Performance-Driven Urban Design Parametric Design Method for the Integration of Daylight and Urban Comfort Analysis in Cold Climates
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 21
summary	Shape of built environment and image of cities are significantly influenced by environmental factors such as access to natural light, air temperature and wind. Adequate quantity of daylight in building interiors is important for occupant wellbeing and energy saving. In Estonia minimum quantity of daylight is required by building standards. Wind speed increased by urban environment at northern latitudes can significantly reduce pedestrian perceived temperature during winter inducing strong cold stress. This paper presents a method for the integration of parametric modeling and environmental simulations to analyze interiors and exteriors comfort of tower building cluster variations in different urban areas in Tallinn. Optimal pattern characteristics such as buildings distance and alignment favoring improvement of interiors daylight and decrease of pedestrian cold stress are presented and discussed.
keywords	Daylight, Urban Comfort, Environmental Analysis, PerformanceDriven Urban Design, Parametric Design
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	ecaade2024_222
id	ecaade2024_222
authors	Bindreiter, Stefan; Sisman, Yosun; Forster, Julia
year	2024
title	Visualise Energy Saving Potentials in Settlement Development: By linking transport and energy simulation models for municipal planning
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 2, pp. 79–88
doi	https://doi.org/10.52842/conf.ecaade.2024.2.079
summary	To achieve Sustainable Development Goals, in addition to the switch to sustainable energy sources and energy-efficient buildings, transport offers a major lever for reducing energy consumption and greenhouse gases. The increasing demand for emission-free mobility (e.g. through electromobility) but also heat pumps has a direct impact on the electricity consumption of buildings and settlements. It is still difficult to simulate the effects and interactions of different measures as sector coupling concepts require comprehensible tools for ex ante evaluation of planning measures at the community level and the linking of domain-specific models (energy, transport). Using the municipality of Bruck an der Leitha (Austria) as an example, a digital twin based on an open data model (Bednar et al., 2020) is created for the development of methods, which can be used to simulate measures to improve the settlement structure within the municipality. Forecast models for mobility (Schmaus, 2019; Ritz, 2019) and the building stock are developed or applied and linked via the open data model to be able to run through development scenarios and variants. The forecasting and visualisation options created in the project form the basis for the ex-ante evaluation of measures and policies on the way to a Positive-Energy-District. By identifying and collecting missing data, data gaps are filled for the simulation of precise models in the specific study area. A digital, interactive 3D model is created to examine the forecast results and the different scenarios.
keywords	visualisation, decision support, sector coupling, holistic spatial energy models for municipal planning, (energy) saving potentials in settlement development
series	eCAADe
email
last changed	2024/11/17 22:05

_id	sigradi2023_39
id	sigradi2023_39
authors	Borges, Marina, Karantino, Lucas and Gorges, Diego
year	2023
title	Walkability: Digital Parametric Process for Analyzing and Evaluating Walkability Criteria in Peripheral Central Regions of Belo Horizonte
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. 397–408
summary	According to one of the Sustainable Development Goals (UN, 2018), it is important for cities to be inclusive, safe, resilient, and sustainable. Therefore, it is necessary to value pedestrians and consequently active mobility, giving priority to the concepts of the Transportation Oriented Development (TOD) methodology. Although the Master Plan (BELO HORIZONTE, 2019) proposes that areas located in regional centralities are enhancing active mobility, can residents actually benefit from these resources at a walkable distance to access basic services? Thus, the aim of this research is to utilize digital technologies to visualize, analyze, and assess pedestrians' access conditions to commerce and basic services, identifying areas lacking infrastructure. The goal is for the model to serve as a reference for the development of public policies. To achieve this, metadata was used for parametric modeling to study walkability in the peripheral region of the city of Belo Horizonte.
keywords	Walkability, Urban Data Analysis, Urban Design, Parametric Urbanism, Algorithmic Logic
series	SIGraDi
email
last changed	2024/03/08 14:07

_id	caadria2019_396
id	caadria2019_396
authors	Cao, Rui, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2019
title	Quantifying Visual Environment by Semantic Segmentation Using Deep Learning - A Prototype for Sky View Factor
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 623-632
doi	https://doi.org/10.52842/conf.caadria.2019.2.623
summary	Sky view factor (SVF) is the ratio of radiation received by a planar surface from the sky to that received from the entire hemispheric radiating environment, in the past 20 years, it was more applied to urban-climatic areas such as urban air temperature analysis. With the urbanization and the development of cities, SVF has been paid more and more attention on as the important parameter in urban construction and city planning area because of increasing building coverage ratio to promote urban forms and help creating a more comfortable and sustainable urban residential building environment to citizens. Therefore, efficient, low cost, high precision, easy to operate, rapid building-wide SVF estimation method is necessary. In the field of image processing, semantic segmentation based on deep learning have attracted considerable research attention. This study presents a new method to estimate the SVF of residential environment by constructing a deep learning network for segmenting the sky areas from 360-degree camera images. As the result of this research, an easy-to-operate estimation system for SVF based on high efficiency sky label mask images database was developed.
keywords	Visual environment; Sky view factor; Semantic segmentation; Deep learning; Landscape simulation
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	acadia19_90
id	acadia19_90
authors	Forward, Kristen; Taron, Joshua
year	2019
title	Waste Ornament
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 90-99
doi	https://doi.org/10.52842/conf.acadia.2019.090
summary	The emergence of computational design and fabrication tools has escalated the potentials of architectural ornamentation to become innovative, beautiful, and highly sustainable. Historically, ornament has been known to express character and reveal relationships between materiality, technological advances, and societal evolution. But ornament rapidly declined in the late 1800s in large part due to mechanization and modernist ideals of uniform, unadorned façade components. However, ornamentation in architecture has recently reappeared—a development that can be linked closely to advancements in computational design and digital fabrication. While these advancements offer the ability to create expressive architecture, their potential contribution to the improvement of sustainable architecture has largely been overlooked (Augusti-Juan and Habert 2017). This paper provides a brief revisitation to the history of ornament and investigates the impact of computation and automation on the production of contemporary ornament. The paper also attempts to catalog examples of how designers have used computational technologies to address the growing criticality of environmental concerns. Moreover, the paper presents the Waste Ornament project, a research platform that critically examines how we can leverage technology to augment the visual and sustainable performance of facade ornamentation to reduce energy use in buildings. Three sub-projects are identified as territories for further research into sustainable ornamentation, ranging from material sourcing, to high-performance buildings, to the development of a systematic upcycling process that transforms old facades into new ones. While the examples are not exhaustive, they attempt to interlace the general ideas of waste and ornament by addressing particular issues that converge at building envelopes.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:51

_id	caadria2019_651
id	caadria2019_651
authors	Imani, Marzieh, Sayah, Iman, Vale, Brenda and Donn, Michael
year	2019
title	An Innovative, Hierarchical Energy Performance Data Visualization for Facilitating Recognition of Thermal Issues
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. 815-824
doi	https://doi.org/10.52842/conf.caadria.2019.1.815
summary	This paper discusses the characteristics of and relationships between the most common building energy performance tools for simulating and visualising the thermal behaviour of buildings at the early stage of building design. The necessity for the latter and the importance of using relevant tools in practice are discussed. By highlighting existing gaps in these tools, a complementary component has been suggested that could assist building scientists in evaluating energy simulation results. The proposed energy performance data visualisation (EPDV) component is an under-development plugin (SlowLoris) that is intended to be added to the existing Grasshopper add-ons. This EPDV component provides users with simultaneous but different visualisation styles of monthly energy reports for individual floors and thermal zones. As an example, this paper uses a 2-storey building model to show the applicability of the plugin to analysis of energy simulation results.
keywords	Building energy simulation; Data visualization; Energy performance analysis
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2019_143
id	caadria2019_143
authors	Kato, Yuri and Matsukawa, Shohei
year	2019
title	Development of Generating System for Architectural Color Icons Using Google Map Platform and Tensorflow-Segmentation
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 81-90
doi	https://doi.org/10.52842/conf.caadria.2019.2.081
summary	In this research, the goal is to develop a generating system for architectural color icons using Google Map Platform and Tensorflow-Segmentation. There has been no case of developing a system that allows users to visualize the color tendency of buildings as architectural color icons for each building element from images of various regions. It is considered meaningful to be able to create criteria for decision making in architecture and the urban design by developing a system to clarify the current state of the architectural colors. It will contribute a rise in the consciousness of landscape conservation and be essential for the design of architectures and public objects. This paper includes the explanation of development method, use experiments, and consideration of five problems among architectural color icons creation. It is assumed that the accuracy of the present system will be better as the technology improves.
keywords	Google street view; machine learning; image segmentation; color palette; color analysis
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2019_449
id	caadria2019_449
authors	Lin, Yuqiong, Yao, Jiawei, Huang, Chenyu and Yuan, Philip F.
year	2019
title	The Future of Environmental Performance Architectural Design Based on Human-Computer Interaction - Prediction Generation Based on Physical Wind Tunnel and Neural Network Algorithms
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 633-642
doi	https://doi.org/10.52842/conf.caadria.2019.2.633
summary	As the medium of the environment, a building's environment performance-based generative design cannot be separated from intelligent data processing. Sustainable building design should seek an optimized form of environmental performance through a complete set of intelligent induction, autonomous analysis and feedback systems. This paper analyzed the trends in architectural design development in the era of algorithms and data and the status quo of building generative design based on environmental performance, as well as highlighting the importance of physical experiments. Furthermore, a design method for self-generating environmental performance of urban high-rise buildings by applying artificial intelligence neural network algorithms to a customized physical wind tunnel is proposed, which mainly includes a morphology parameter control and environmental data acquisition system, code translation of environmental evaluation rules and architecture of a neural network algorithm model. The design-oriented intelligent prediction can be generated directly from the target environmental requirements to the architectural forms.
keywords	Physical wind tunnel; neural network algorithms; dynamic model; environmental performance; building morphology self-generation
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2019_360
id	caadria2019_360
authors	Luo, Lin and Liang, Jing
year	2019
title	Simulation Study on Heating and Cooling Energy-Saving Design of University Library Building Forms in the Severe Cold Region of China based on Honeybee and Ladybug
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. 725-735
doi	https://doi.org/10.52842/conf.caadria.2019.1.725
summary	Based on the parametric simulation platform and tools, the paper studied the influence of building orientation, building size and window-to-wall ratio on heating and cooling energy consumption of the typical university library in the severe cold region of China. The study established the multiple linear regression models of form design parameters and heating and cooling energy consumption respectively, determined the weight of each parameter, proposed the optimal energy-saving orientation selection and form parameter groups. The energy-saving design strategies of the typical university library in the severe cold region were put forward from the three sub-aspects of building orientation, building size and window-to-wall ratio, and from a comprehensive point of view. The study provides effective support for energy consumption estimation in the stage of building form design, and has important practical significance for sustainable development of university buildings.
keywords	Energy-saving design; Heating and cooling energy consumption simulation; Form design parameters; University library; Severe cold region
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ecaadesigradi2019_183
id	ecaadesigradi2019_183
authors	Mughal, Humera and Beirao, Jose
year	2019
title	A Workflow for the Performance Based Design of Naturally Ventilated Tall Buildings Using a Genetic Algorithm (GA)
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 645-654
doi	https://doi.org/10.52842/conf.ecaade.2019.2.645
summary	Optimization of Natural Ventilation process in highrise buildings is one of the most complex and least addressed phenomenon in the field of sustainable architecture. This issue requires urgent consideration to reduce the computation time due to fast growing demand of vertical construction in metropolitan cities. Until recently most highrise buildings have been operated with mechanical systems, causing high energy loads in hot climates and have high carbon footprints. Highrise buildings with natural ventilation and sky gardens can address these problems. This study involves the development of a Genetic Algorithm (GA) addressing the multi objective optimization of natural ventilation in tall buildings incorporated with Sky-Gardens at different levels all connected through a central ventilation shaft. The fitness function for this GA is composed of three scales; temperature reduction due to evapotranspiration of plants of sky-gardens, optimum wind velocity for channelizing air inside the corridors and ventilation shaft, and optimum building configuration. The aim is to find the best solutions for tall buildings constructed in hot climate through the provision of optimized airflow paths suitable for the effectiveness of natural ventilation, within a reasonably short computation time for supporting design processes at early stage.
keywords	Optimization; Natural Ventilation; Tall buildings; Genetic Algorithms
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:59

_id	caadria2019_127
id	caadria2019_127
authors	Nam, Hyunjae
year	2019
title	Programming Intelligent Architecture to be Responsive to Real-Time Data
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 273-282
doi	https://doi.org/10.52842/conf.caadria.2019.2.273
summary	This study examines the development of intelligent architecture capable of reading real-time data and controlling spatial configurations accordingly. In terms of responsiveness at an architectural scale, it is questionable whether an architectural system can adapt or adjust its spatial configurations to the time-based changes of social activities. The urban open data movement allows individuals to navigate or measure real-time occurrences in cities, and such data can be used to accommodate users' demands for social space. Exploiting urban open data, the design experiment focused on extracting data pertaining to real occurrences of social activities and weather conditions in a city, setting an algorithm mapping the sequence from the data to architectural behaviours, and simulating the architectural model in real time. By means of proposing a design strategy, this research contributes to cross-disciplinary approaches to developing smart buildings and cities.
keywords	real-time data; urban open data; weather API; architectural responsiveness
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	acadia20_148p
id	acadia20_148p
authors	Vansice, Kyle; Attraya, Rahul; Culligan, Ryan; Johnson, Benton; Sondergaard, Asbjorn; Peters, Nate
year	2020
title	Stereoform Slab
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. 148-153
summary	Stereoform Slab is both a pavilion and a prototype - an exhibition for the 2019 Chicago Architectural Biennial. It is an experiment in how digital form-finding and robotics can be leveraged to rethink the future of concrete construction. Stereoform Slab examines the role of one of the most ubiquitous horizontal elements in the city - the concrete slab, also the most common element in contemporary construction. Using smarter forming systems - in this case, a ruled-surface-derived, robotic hotwire process - the Stereoform Slab prototype proved that the amount of material used and waste generated could be minimized without increasing construction complexity, by about 20% over a conventional system. Stereoform also extends the conventional concrete span (column spacing), specifically in Chicago, from 30’ to 45’. In developing a concrete forming system that affords added flexibility without increasing construction costs, it is possible to reduce embodied carbon significantly. The method allows reducing carbon in buildings that aren’t typically the subject of advanced architectural design or rigorous optimization – conventional buildings that compose a majority of our built environment, and its respective contributions to global carbon emissions. Stereoform is the result of a multi-objective design optimization process. Optimal materialization, according to the compressive/tensile physics present in beam design, was balanced against the fabrication constraints of a singularly ruled-surface, which enables fast form-making using robotic hotwire cutting. SOM and Autodesk collaborated to mirror the approach developed to optimize Stereoform slab as a pavilion, to the building scale, using the multi-objective optimization platform Refinery. Project Refinery allowed the team to create a hyper-responsive system design that could adapt to any number of varying programmatic conditions and loading patterns. The development of this approach is a crucial step in making optimization techniques flexible enough to balance the number of competing parameters in the design process available and accessible to a broader design audience within architecture and engineering.
series	ACADIA
type	project
email
last changed	2021/10/26 08:03

_id	ecaadesigradi2019_250
id	ecaadesigradi2019_250
authors	Czyñska, Klara
year	2019
title	Visual Impact Analysis of Large Urban Investments on the Cityscape
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 297-304
doi	https://doi.org/10.52842/conf.ecaade.2019.3.297
summary	The article presents the assessment method for large (horizontally spread) urban investment and its visual impact on the cityscape using digital analyses. The visual impact assessment is often used in relation to facilities which dominate in the cityscape, mainly tall buildings. Various studies, however, examine the impact of wide but relatively low-rising buildings and their impact on the cityscape. The article presents a methodology for the assessment of the visual impact and a case study for a building facility comprising several tightly developed and medium height blocks of buildings in a city center of a significant historical value in Gdañsk, Poland. The research has been based on the Visual Impact Size method (VIS) and a city model consisting of a regular cloud of points (Digital Surface Model). The simulation has been developed using a dedicated C++ software (developed by author). The study aimed at assessing the following: a) to what degree such an urban investment can influence the cityscape; b) how the impact can be analyzed using digital techniques, and c) what input parameters of the analysis are crucial for satisfactory accuracy of its results.
keywords	digital cityscape analysis; urban skyline; large urban investments; visual impact; VIS method
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	ecaadesigradi2019_550
id	ecaadesigradi2019_550
authors	Rhee, Jinmo, Cardoso Llach, Daniel and Krishnamurti, Ramesh
year	2019
title	Context-rich Urban Analysis Using Machine Learning - A case study in Pittsburgh, PA
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 343-352
doi	https://doi.org/10.52842/conf.ecaade.2019.3.343
summary	This paper reports on the analytical potential of machine learning methods for urban analysis. It documents a new method for data-driven urban analysis based on diagrammatic images describing each building in a city in relation to its immediate urban context. By statistically analyzing architectural and contextual features in this new dataset, the method can identify clusters of similar urban conditions and produce a detailed picture of a city's morphological structure. Remapping the clusters from data to 2D space, our method enables a new kind of urban plan that displays gradients of urban similarity. Taking Pittsburgh as a case study we demonstrate this method, and propose "morphological types" as a new category of urban analysis describing a given city's specific set of distinct morphological conditions. The paper concludes with a discussion of the implications of this method and its limitations, as well as its potentials for architecture, urban studies, and computation.
keywords	Urban Morphology; Machine Learning; Architectural Contexts; Urban Analysis; GIS
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	ecaadesigradi2019_464
id	ecaadesigradi2019_464
authors	Santiago, Pedro
year	2019
title	Evolutionary Optimization of Building Facade Form for Energy and Comfort in Urban Environment through BIM and Algorithmic Modeling - A case study in Porto, Portugal
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 153-160
doi	https://doi.org/10.52842/conf.ecaade.2019.2.153
summary	Consolidated urban areas usually present a challenge for the sustainable design decisions for the architect. The site, orientation and surrounding built environment compromise both passive and active systems, shortening the possible optimization measures available, leaving the designer with doubts as far as efficiency is concerned.BIM methodologies and visual programming languages have opened up a very wide range of design and analysis tools allowing the architect to make informed decisions based on data extracted from the models. Nonetheless it's optimization is through a slow process of trial and error, creating a significant limitation. This paper discusses the potentialities of the use of evolutionary algorithms to generate optimized solutions for facade solar orientation. A comparison between three different evolutionary algorithms aiming for solar radiation, inside average temperature allows to conclude the best result versus time consumed. Although under similar results the multi-objective EA represents the best compromise between time and final objective on the case study chosen for the paper. The interconnectivity in real time of BIM and algorithmic modeling softwares represents an advantage for time saving sustainable design decisions.
keywords	BIM; Evolutionary Optimization; Sustainable design
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	ecaadesigradi2019_381
id	ecaadesigradi2019_381
authors	Buš, Peter
year	2019
title	Large-scale Prototyping Utilising Technologies and Participation - On-demand and Crowd-driven Urban Scenarios
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 847-854
doi	https://doi.org/10.52842/conf.ecaade.2019.2.847
summary	The paper theorises and elaborates the idea of crowd-driven assemblies for flexible and adaptive constructions utilising automatic technologies and participatory activities within the context of twenty-first century cities. As economic and technological movements and shifts in society and cultures are present and ongoing, the building technology needs to incorporate human inputs following the aspects of customisation to build adaptive architectural and urban scenarios based on immediate decisions made according to local conditions or specific spatial demands. In particular, the paper focuses on large-scale prototyping for urban applications along with on-site interactions between humans and automatic building technologies to create on-demand spatial scenarios. It discusses the current precedents in research and practice and speculates future directions to be taken in creation, development or customisation of contemporary and future cities based on participatory and crowd-driven building activities. The main aim of this theoretical overview is to offer a more comprehensive understanding of the relations between technology and humans in the context of reactive and responsive built environments.
keywords	large-scale urban prototyping; on-site participation; human-machine interaction; intelligent cities; responsive cities; urban autopoiesis
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_146
id	ecaadesigradi2019_146
authors	Castro e Costa, Eduardo, Verniz, Debora, Varasteh, Siavash, Miller, Marc and Duarte, José
year	2019
title	Implementing the Santa Marta Urban Grammar - a pedagogical tool for design computing in architecture
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 349-358
doi	https://doi.org/10.52842/conf.ecaade.2019.2.349
summary	We present a tool intended to enable non-expert users to apply and manipulate a shape grammar, SMUG, which encodes the urban design of informal settlements such as favelas. Such tool, the Interpreter, was developed considering that students would be its main users, and therefore we consider this grammar implementation to potentially be a multipurpose pedagogical tool since it supports conveying knowledge about urban design, shape grammars and parametric modeling using Grasshopper. This paper focuses on the development of the Interpreter and discusses the results of its use in a design studio, which can better inform subsequent iteration as well as other courses and schools.
keywords	Shape grammars; Urban design; Design studio; Parametric modelling;
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	ecaadesigradi2019_398
id	ecaadesigradi2019_398
authors	Fink, Theresa and Koenig, Reinhard
year	2019
title	Integrated Parametric Urban Design in Grasshopper / Rhinoceros 3D - Demonstrated on a Master Plan in Vienna
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 313-322
doi	https://doi.org/10.52842/conf.ecaade.2019.3.313
summary	By 2050 an estimated 70 percent of the world's population will live in megacities with more than 10 million citizens (Renner 2018). This growth calls for new target-oriented, interdisciplinary methods in urban planning and design in cities to meet sustainable development targets. In response, this paper exemplifies an integrated urban design process on a master plan project in Vienna. The objective is to investigate the potential towards a holistic, digital, urban design process aimed at the development of a practical methodology for future designs. The presented urban design process includes analyses and simulation tools within Rhinoceros 3D and its plug-in Grasshopper as quality-enhancing mediums that facilitate the creative approaches in the course of the project. The increase in efficiency and variety of design variants shows a promising future for the practical suitability of this approach.
keywords	urban design; parametric modeling; urban simulation; design evaluation; environmental performance
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:50

_id	ecaadesigradi2019_262
id	ecaadesigradi2019_262
authors	Globa, Anastasia, Costin, Glenn, Wang, Rui, Khoo, Chin Koi and Moloney, Jules
year	2019
title	Hybrid Environmental-Media Facade - Full-Scale Prototype Panel Fabrication
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 685-694
doi	https://doi.org/10.52842/conf.ecaade.2019.2.685
summary	This paper reports the design, fabrication and evaluation strategies of full-scale aluminium panel prototypes developed for a kinetic hybrid facade system. The concept of a hybrid facade system was proposed as a solution to maximise the value of kinetic intelligent building systems by repurposing the animation sunscreening as a low-resolution media display. The overarching research project investigates the potential, feasibility and real-life applications of a hybrid facade that integrates the: environmental, media and individual micro-control functions in one compound system that operates through autonomous wirelessly controlled hexagonal rotating panels. The study explores new ways of communication and connectivity in architectural and urban context, utilising and fusing together a wide range of technologies including: artificial intelligence, robotics, wireless control technologies, calibration of physical and digital simulations, development of fully autonomous self-organised and powered units and the use of additive digital manufacturing. This article reports the third research stage of the hybrid facade project development - the manufacture of full scale panel prototypes.
keywords	kinetic facade; digital fabrication; full-scale prototype; intelligent building systems; hybrid facade
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

For more results click below: