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

_id	ecaade2018_164
id	ecaade2018_164
authors	Chang, Mei-Chih, Buš, Peter, Tartar, Ayça, Chirkin, Artem and Schmitt, Gerhard
year	2018
title	Big-Data Informed Citizen Participatory Urban Identity Design
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. 669-678
doi	https://doi.org/10.52842/conf.ecaade.2018.2.669
summary	The identity of an urban environment is important because it contributes to self-identity, a sense of community, and a sense of place. However, under present-day conditions, the identities of expanding cities are rapidly deteriorating and vanishing, especially in the case of Asian cities. Therefore, cities need to build their urban identity, which includes the past and points to the future. At the same time, cities need to add new features to improve their livability, sustainability, and resilience. In this paper, using data mining technologies for various types of geo-referenced big data and combine them with the space syntax analysis for observing and learning about the socioeconomic behavior and the quality of space. The observed and learned features are identified as the urban identity. The numeric features obtained from data mining are transformed into catalogued levels for designers to understand, which will allow them to propose proper designs that will complement or improve the local traditional features. A workshop in Taiwan, which focuses on a traditional area, demonstrates the result of the proposed methodology and how to transform a traditional area into a livable area. At the same time, we introduce a website platform, Quick Urban Analysis Kit (qua-kit), as a tool for citizens to participate in designs. After the workshop, citizens can view, comment, and vote on different design proposals to provide city authorities and stakeholders with their ideas in a more convenient and responsive way. Therefore, the citizens may deliver their opinions, knowledge, and suggestions for improvements to the investigated neighborhood from their own design perspective.
keywords	Urban identity; unsupervised machine learning; Principal Component Analysis (PCA); citizen participated design; space syntax
series	eCAADe
email
last changed	2022/06/07 07:56

_id	sigradi2018_1412
id	sigradi2018_1412
authors	de Oliveira Gomes, Emerson Bruno; da Silva Machado, Rodrigo Carlos; Machado Gomes, Cristiani; de Souza Xavier, Luis Gustavo
year	2018
title	The Virtual Reality as a tool to analyze modifications in the architecture of the city. Case study: the historical center of the city of Belém-Pará.
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. 860-865
summary	This paper presents the partial results of a research that experiments the use of Virtual Reality (VR) in the analysis of future interventions in the architecture of the city of Belém. The objective was the virtual reconstruction of part of the port area of the city, as it was about 100 years. The methods include a historical survey of the site, visits to obtain photographs and measurements, as well as the digital reconstruction of buildings (external faces only). The experiment used Sketchup software for modeling, Unity 3D for rendering and navigation, and HTC Vive glasses for immersion.
keywords	Virtual reality; Architecture; History; Engine games
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2018_165
id	ecaade2018_165
authors	Fisher-Gewirtzman, Dafna and Bruchim, Elad
year	2018
title	Considering Variant Movement Velocities on the 3D Dynamic Visibility Analysis (DVA) - Simulating the perception of urban users: pedestrians, cyclists and car drivers.
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. 569-576
doi	https://doi.org/10.52842/conf.ecaade.2018.2.569
summary	The objective of this research project is to simulate and evaluate the effect of movement velocity and cognitive abilities on the visual perception of three groups of urban users: pedestrians, cyclists and car drivers.The simulation and analysis is based on the 3D Dynamic Visual Analysis (DVA) (Fisher-Gewirtzman, 2017). This visibility analysis model was developed in the Rhinoceros and Grasshopper software environments and is based on the conceptual model presented in Fisher-Gewirtzman (2016): a 3D Line of Sight (LOS) visibility analysis, taking into account the integrated effect of the 3D geometry of the environment and the variant elements of the view (such as the sky, trees and vegetation, buildings and building types, roads, water etc.). In this paper, the current advancement of the existing model considers the visual perception of human users employing three types of movement in the urban environment--pedestrians, cyclists and drivers--is explored.We expect this research project to exemplify the contribution of such a quantification and evaluation model to evaluating existing urban structures, and for supporting future human perception-based urban design processes.
keywords	visibility analysis and simulation; predicting perception of space; movement in the urban environment; pedestrians; cyclists; car drivers
series	eCAADe
email
last changed	2022/06/07 07:51

_id	acadia20_382
id	acadia20_382
authors	Hosmer, Tyson; Tigas, Panagiotis; Reeves, David; He, Ziming
year	2020
title	Spatial Assembly with Self-Play Reinforcement Learning
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. 382-393.
doi	https://doi.org/10.52842/conf.acadia.2020.1.382
summary	We present a framework to generate intelligent spatial assemblies from sets of digitally encoded spatial parts designed by the architect with embedded principles of prefabrication, assembly awareness, and reconfigurability. The methodology includes a bespoke constraint-solving algorithm for autonomously assembling 3D geometries into larger spatial compositions for the built environment. A series of graph-based analysis methods are applied to each assembly to extract performance metrics related to architectural space-making goals, including structural stability, material density, spatial segmentation, connectivity, and spatial distribution. Together with the constraint-based assembly algorithm and analysis methods, we have integrated a novel application of deep reinforcement (RL) learning for training the models to improve at matching the multiperformance goals established by the user through self-play. RL is applied to improve the selection and sequencing of parts while considering local and global objectives. The user’s design intent is embedded through the design of partial units of 3D space with embedded fabrication principles and their relational constraints over how they connect to each other and the quantifiable goals to drive the distribution of effective features. The methodology has been developed over three years through three case study projects called ArchiGo (2017–2018), NoMAS (2018–2019), and IRSILA (2019-2020). Each demonstrates the potential for buildings with reconfigurable and adaptive life cycles.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	ecaade2018_310
id	ecaade2018_310
authors	Jabi, Wassim, Aish, Robert, Lannon, Simon, Chatzivasileiadi, Aikaterini and Wardhana, Nicholas Mario
year	2018
title	Topologic - A toolkit for spatial and topological modelling
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. 449-458
doi	https://doi.org/10.52842/conf.ecaade.2018.2.449
summary	This paper describes non-manifold topology (NMT) as it relates to the field of architecture and presents Topologic, an open-source software modelling library enabling hierarchical and topological representations of architectural spaces, buildings and artefacts through NMT. Topologic is designed as a core library and additional plugins to visual data flow programming (VDFP) software. The software architecture and class hierarchy are explained and two domain-specific demonstrative tools (TopologicEnergy and TopologicStructure) are presented to illustrate how third-party software developers could use Topologic to build their own solutions. The paper concludes with a reflection on the benefits and limitations of NMT in the design and simulation workflows and outlines future work.
keywords	Non-manifold topology; Visual data flow programming; Building performance simulation; Structural analysis; Computational design; Building information modelling
series	eCAADe
email
last changed	2022/06/07 07:51

_id	sigradi2018_1333
id	sigradi2018_1333
authors	Lica Chokyu, Margaret
year	2018
title	Shape Grammar and Social Housing: recognizing patterns in favelas’ buildings
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. 170-175
summary	Social Housing is worldwide problem, especially in underdeveloped countries. In Brazil, people do solve this issue with self-made houses, in irregular land occupations. As a result, those informal settlements, also known as favelas, proliferate in medium and big cities all over the country, in very poor infrastructure. On the other hand, governmental policies for social housing development are often criticized, because of several reasons, including architectural design, frequently unfit for the families assisted. The present work observes the architecture developed in self-made houses at Favela da Rocinha and presents Shape Grammar as an instrument for analysis of frequent solutions, in order to provide data for adequate architectural design.
keywords	Shape grammar; Favelas; Informal architecture, Teaching observation
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2018_189
id	ecaade2018_189
authors	Zardo, Paola, Quadrado Mussi, Andréa and Lima da Silva, Juliano
year	2018
title	The Role of Digital Technologies in Promoting Contemporary and Collaborative Design Processes
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. 469-478
doi	https://doi.org/10.52842/conf.ecaade.2018.1.469
summary	Digital technologies and contemporary CAAD systems are increasingly being adopted in architectural practice. Thus, their impacts on buildings design process need to be addressed and explored, as there are signs of a potential revolution in AEC industry. This paper presents a methodology and preliminary results of a work-in-progress for a Master of Science dissertation. The main purpose of the study is to find similarities in practice in order to determine main characteristics and fundamentals of contemporary design process. It consists of a design praxiology approach according to Cross' taxonomy of design research. Three project cases developed by digital processes and explored by secondary data from literature reviews, complemented by documentary research, are presented as preliminary results, as well as their main similarities. Through the analysis of the cases, it was verified that the presence of BIM, parametric modeling and digital fabrication overlaps and promotes holistic and largely collaborative design processes. The role of collaboration is highlighted, which was presented as a key factor for the success of the projects. Future results from the described methodology should allow a more detailed and in-depth characterization of the contemporary design process.
keywords	digital technologies; contemporary design process; design praxiology
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2018_158
id	ecaade2018_158
authors	Zhou, Jing, Klumpner, Hubert and Brillembourg, Afredo
year	2018
title	The Dynamic Geometric Network Model for Representing Verticalized Urban Environment and its Generation
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. 525-530
doi	https://doi.org/10.52842/conf.ecaade.2018.1.525
summary	Against the background of urbanization and the fast growth of population in big cities, there will be more and more high-rises emerged in the future. In some big cities, the various layers of public transpiration networks such as metro systems also played an essential role in the urban life. In the verticalized urban environment, the complexity of the multi-layers space system connected by various horizontal and vertical connections have been beyond people's cognition. The boundaries between private space and public space, outdoor-space and indoor-space have already blurred. The graph theory based urban spatial analysis approaches are adopted in urban studies to tackle with the urban complexity issues. However, at present, most of the methods proposed are specializing in open urban spaces, and they cannot describe the three-dimensional completely and accurately. Therefore, in this paper, a new graph theory based representation method, the Dynamic Geometric Network Model, which adapted to the verticalized urban environment will be proposed. And the approach of how to automatically generate such a representation model according to the urban layout will also be introduced.
keywords	Graph Model Representation; Graph Model Generation; Verticalized Urban Environment
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2018_439
id	ecaade2018_439
authors	Jose, Duarte, Nazarian, Shadi and Ashrafi, Negar
year	2018
title	Designing Shelters for 3D-printing - A studio experiment
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. 31-38
doi	https://doi.org/10.52842/conf.ecaade.2018.2.031
summary	This paper describes an architectural design studio experiment, developed with the aim of exploring the interrelationship between the architectural design of basic shelters and additive manufacturing technology (aka 3D printing) using concrete. This fabrication technology has been developed over the past twenty years in various locations Worldwide and there has been some experiments on its use for making buildings. However, these experiments are still very limited in number and results, in the sense that do not fully explore the potential of the technology and its impact on the way we design and make buildings. The studio evolved in the context of a larger project in which a multidisciplinary team of researchers is developing the technology for the additive manufacturing in concrete. Research evolves along three main thrusts of work on materials, systems, and design. The studio introduced students to these various aspects, examined their interrelationships, impacts, and applications in architectural design and construction of buildings. The hope was to collect more information and feedback to inform the overarching research. Results showed the feasibility of the technology and identified issues that need to be addressed in future research.
keywords	additive manufacturing; 3D printing; concrete; design education
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ecaade2018_361
id	ecaade2018_361
authors	Schneider, Sven, Kuliga, Saskia, Weiser, René, Kammler, Olaf and Fuchkina, Ekaterina
year	2018
title	VREVAL - A BIM-based Framework for User-centered Evaluation of Complex Buildings in Virtual 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. 833-842
doi	https://doi.org/10.52842/conf.ecaade.2018.2.833
summary	The design of buildings requires architects to anticipate how their future users will experience and behave in them. In order to do this objectively and systematically user studies in Virtual Environments (VEs) are a valuable method. In this paper, we present a framework for setting up, conducting and analysing user studies in VEs. The framework is integrated in the architectural design process by using BIM as a common modeling and visualisation platform. In order to define the user studies simple and flexible for the individual purposes we followed a modular concept. Modules thereby refer to different kinds of user study methods. Currently we developed three modules (Wayfinding, Spatial Experience and Qualitative Annotations), each having their individual requirements regarding their setup, interaction method and visualisation of results. In the course of a architectural design studio, students applied this framework to evaluate their building designs from a user perspective.
keywords	Pre-Occupancy Evaluation; Virtual Reality; User-centered Design; Building Information Modeling; Architectural Education
series	eCAADe
email
last changed	2022/06/07 07:57

_id	caadria2018_000
id	caadria2018_000
authors	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.)
year	2018
title	CAADRIA 2018: Learning, Prototyping and Adapting, Volume 1
source	Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, 578 p.
doi	https://doi.org/10.52842/conf.caadria.2018.1
summary	Rapidly evolving technologies are increasingly shaping our societies as well as our understanding of the discipline of architecture. Computational developments in fields such as machine learning and data mining enable the creation of learning networks that involve architects alongside algorithms in developing new understanding. Such networks are increasingly able to observe current social conditions, plan, decide, act on changing scenarios, learn from the consequences of their actions, and recognize patterns out of complex activity networks. While digital technologies have already enabled architecture to transcend static physical boxes, new challenges of the present and visions for the future continue to call for both innovative responses integrating emerging technologies into experimental architectural practice and their critical reflection. In this process, the capability of adapting to complex social and environmental challenges through learning, prototyping and verifying solution proposals in the context of rapidly shifting realities has become a core challenge to the architecture discipline. Supported by advancing technologies, architects and researchers are creating new frameworks for digital workflows that engage with new challenges in a variety of ways. Learning networks that recognize patterns from massive data, rapid prototyping systems that flexibly iterate innovative physical solutions, and adaptive design methods all contribute to a flexible and networked digital architecture that is able to learn from both past and present to evolve towards a promising vision of the future.
series	CAADRIA
last changed	2022/06/07 07:49

_id	caadria2018_001
id	caadria2018_001
authors	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.)
year	2018
title	CAADRIA 2018: Learning, Prototyping and Adapting, Volume 2
source	Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, 610 p.
doi	https://doi.org/10.52842/conf.caadria.2018.2
summary	Rapidly evolving technologies are increasingly shaping our societies as well as our understanding of the discipline of architecture. Computational developments in fields such as machine learning and data mining enable the creation of learning networks that involve architects alongside algorithms in developing new understanding. Such networks are increasingly able to observe current social conditions, plan, decide, act on changing scenarios, learn from the consequences of their actions, and recognize patterns out of complex activity networks. While digital technologies have already enabled architecture to transcend static physical boxes, new challenges of the present and visions for the future continue to call for both innovative responses integrating emerging technologies into experimental architectural practice and their critical reflection. In this process, the capability of adapting to complex social and environmental challenges through learning, prototyping and verifying solution proposals in the context of rapidly shifting realities has become a core challenge to the architecture discipline. Supported by advancing technologies, architects and researchers are creating new frameworks for digital workflows that engage with new challenges in a variety of ways. Learning networks that recognize patterns from massive data, rapid prototyping systems that flexibly iterate innovative physical solutions, and adaptive design methods all contribute to a flexible and networked digital architecture that is able to learn from both past and present to evolve towards a promising vision of the future.
series	CAADRIA
last changed	2022/06/07 07:49

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

_id	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
email
last changed	2022/06/07 07:54

_id	ecaade2018_232
id	ecaade2018_232
authors	Al Bondakji, Louna, Chatzi, Anna-Maria, Heidari Tabar, Minoo, Wesseler, Lisa-Marie and Werner, Liss C.
year	2018
title	VR-visualization of High-dimensional Urban Data
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. 773-780
doi	https://doi.org/10.52842/conf.ecaade.2018.2.773
summary	The project aims to investigate the possibility of VR in a combination of visualizing high-dimensional urban data. Our study proposes a data-based tool for urban planners, architects, and researchers to 3D visualize and experience an urban quarter. Users have a possibility to choose a specific part of a city according to urban data input like "buildings, streets, and landscapes". This data-based tool is based on an algorithm to translate data from Shapefiles (.sh) in a form of a virtual cube model. The tool can be scaled and hence applied globally. The goal of the study is to improve understanding of the connection and analysis of high-dimensional urban data beyond a two-dimensional static graph or three-dimensional image. Professionals may find an optimized condition between urban data through abstract simulation. By implementing this tool in the early design process, researchers have an opportunity to develop a new vision for extending and optimizing urban materials.
keywords	Abstract Urban Data Visualization; Virtual Reality; Geographical Information System
series	eCAADe
email
last changed	2022/06/07 07:54

_id	acadia18_36
id	acadia18_36
authors	Austin, Matthew; Matthews, Linda
year	2018
title	Drawing Imprecision. The digital drawing as bits and pixels
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. 36-45
doi	https://doi.org/10.52842/conf.acadia.2018.036
summary	This paper explores the consequences of digitizing the architectural drawing. It argues that the fundamental unit of drawing has shifted from “the line” to an interactive partnership between bits and pixels. It also reveals how the developmental focus of imaging technology has been to synthesize and imitate the line using bits and pixels, rather than to explore their innate productive value and aesthetic potential. Referring to variations of the architectural drawing from a domestic typology, the paper uses high-precision digital tools tailored to quantitative image analysis and digital tools that sit outside the remit of architectural production, such as word processing, to present a new range of drawing techniques. By applying a series of traditional analytical procedures to the image, it reveals how these maneuvers can interrogate and dislocate any predetermined formal normalization. The paper reveals that the interdisciplinary repurposing of precise digital toolsets therefore has explicit disciplinary consequences. These arise as a direct result of the recalibration of scale, the liberation of the bit’s representational capacity, and the pixel’s properties of color and brightness. It concludes by proposing that deliberate instances of translational imprecision are highly productive, because by liberating the fundamental qualitative properties of the fundamental digital units, these techniques shift the disciplinary agency of the architectural drawing
keywords	full paper, imprecision, representation, recalibration, theory, glitch aesthetics, algorithmic design, process
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

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

_id	ecaade2018_187
id	ecaade2018_187
authors	Chatzivasileiadi, Aikaterini, Hosney Lila, Anas M., Lannon, Simon and Jabi, Wassim
year	2018
title	The Effect of Reducing Geometry Complexity on Energy Simulation Results
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. 559-568
doi	https://doi.org/10.52842/conf.ecaade.2018.2.559
summary	Accuracy and time are metrics inherently associated with the design process and the energy performance simulation of buildings. The accurate representation of the building is an essential requirement for energy analysis, which comes with the expense of time; however, this is in contrast with the need to minimise the simulation time in order to make it compatible with design times. This is a particularly interesting aspect in the case of complex geometries, which are often simplified for use in building energy performance simulation. The effects of this simplification on the accuracy of simulation results are not usually reported. This paper explored these effects through a systematic analysis of several test cases. The results indicate that the use of orthogonal prisms as simplified surrogates for buildings with complex shapes presents a worst-case scenario that should be avoided where possible. A significant reduction of geometry complexity by at least 50% can also be achieved with negligible effects on simulation results, while minimising the time requirements. Accuracy, however, deteriorates rapidly below a critical threshold.
keywords	Building performance simulation; Energy analysis; Geometry simplification
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2018_301
id	ecaade2018_301
authors	Cocho-Bermejo, Ana, Birgonul, Zeynep and Navarro-Mateu, Diego
year	2018
title	Adaptive & Morphogenetic City Research Laboratory
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. 659-668
doi	https://doi.org/10.52842/conf.ecaade.2018.2.659
summary	"Smart City" business model is guiding the development of future metropolises. Software industry sales to town halls for city management services efficiency improvement are, these days, a very pro?table business. Being the model decided by the industry, it can develop into a dangerous situation in which the basis of the new city design methodologies is decided by agents outside academia expertise. Drawing on complex science, social physics, urban economics, transportation theory, regional science and urban geography, the Lab is dedicated to the systematic analysis of, and theoretical speculation on, the recently coined "Science of Cities" discipline. On the research agenda there are questions arising from the synthesis of architecture, urban design, computer science and sociology. Collaboration with citizens through inclusion and empowerment, and, relationships "City-Data-Planner-Citizen" and "Citizen-Design-Science", configure Lab's methodology provoking a dynamic responsive process of design that is yet missing on the path towards the real responsive city.
keywords	Smart City; Morphogenetic Urban Design; Internet of Things; Building Information Modelling; Evolutionary Algorithms; Machine Learning & Artificial Intelligence
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2018_296
id	ecaade2018_296
authors	Czyñska, Klara
year	2018
title	High Precision Visibility and Dominance Analysis of Tall Building in Cityscape - On a basis of Digital Surface Model
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. 481-488
doi	https://doi.org/10.52842/conf.ecaade.2018.1.481
summary	The article presents a methodology applied for the assessment of the tall building visual impact on the city scape, using digital tools. The method has been used by the author in the planning practice in several cities in Poland. It enables to determine not only the visibility range of a planned tall building in the city spaces, but also the extent to which it dominates. Findings are presented in a map which reflects both parameters applicable to a given facility. Computation of findings is based on the model of a city consisting of a regular cloud of points (Digital Surface Model) of high quality and dedicated C++ software (developed in cooperation with author). The Visual Impact Size (VIS) method supports the process of conservation and landscaping, in particular in historical cities. It helps predicting spatial implications tall buildings may have. It may also be used for comprehensive development of a modern skyline with tall buildings as a harmonious component of the cityscape. The method is presented using the case study of the Hanza Tower building in Szczecin (Poland).
keywords	digital cityscape analysis; tall buildings; visual impact; Visual Impact Size method; viewshed; Hanza Tower in Szczecin
series	eCAADe
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last changed	2022/06/07 07:56

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