Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	ecaade2018_402
id	ecaade2018_402
authors	Ron, Gili, Shallaby, Sara and Antonako, Theofano
year	2018
title	On-Site Fabrication and Assembly for Arid Region Settlements
doi	https://doi.org/10.52842/conf.ecaade.2018.1.801
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. 801-810
summary	With fast growing population rates and the further desertification of the global climate, desert regions, covering one fifth of the world's surface, provide an opportunity for future habitats. However, their extreme climatic conditions and remoteness pose a planning challenge, currently addressed with prefabrication and layered design; wasteful and costly solutions. This article proposes a bespoke design, fabrication and assembly process: performed in-situ with using local resources and novel automation. The research addresses challenges in on-site robotic forming and assembly of mono-material discrete elements, made in waterless concrete of sand-Sulphur composite. The formed components are examined in formwork-free assembly of wall and arch, with Pick & Place tool-path. The component's design incorporates topological and osteomorphic interlocking, facilitating structural integrity, as well as self-shading and passive cooling, to fit with local climate. This work culminates in a design proposal for constructing desert habitats, climatically adapted for Zagora oasis in the Moroccan Sahara: a remote site of hyper-arid climate.
keywords	Material System; Vernacular Architecture; Digital Morphogenesis; Topological Interlocking; Robotic Fabrication; Robotic Assembly
series	eCAADe
email
last changed	2022/06/07 07:56

_id	caadria2018_097
id	caadria2018_097
authors	Park, Daekwon
year	2018
title	Adaptive THERM-SKIN - Tunable Cellular Materials for Adaptive Thermal Control
doi	https://doi.org/10.52842/conf.caadria.2018.2.309
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 309-318
summary	This research investigates a tunable cellular material system that can alternate between a thermal insulator and a heat exchanger. The capability to morph between these two distinctive thermal functions provide opportunities to create novel material systems that can dynamically adapt to its environment. The operating principle is to strategically deform the cellular material so that the shape and size of the cavities are optimized for the intended thermal function. In the compressed state, the cavity spaces are narrow enough to suppress convection heat transfer and utilize the low thermal conductivity property of still air. The expanded state has the optimum cavity dimensions for air to move through the system and exchange heat with the material system. The first stage of the research utilizes the existing thermal optimization studies for establishing the analytical model for predicting the performance of each state as a function of the geometric features. The second stage constructs a parametric model using the predictions, and two separate material architectures were designed and fabricated based on it. The calibrated analytical model can be utilized in designing various dynamic thermal interaction systems at a wide range of conditions and parameters (e.g., climate, temperature, scale, and material).
keywords	Dynamic Thermal Insulation; Cellular Materials; Thermal Design and Optimization; Adaptive Materials
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	caadria2018_142
id	caadria2018_142
authors	Zeng, Jia, Xing, Kai and Sun, Cheng
year	2018
title	A Parametric Approach for Ascertaining Daylighting in Unit Offices with Perforated Solar Screens in Daylight Climate of Northeast China
doi	https://doi.org/10.52842/conf.caadria.2018.2.133
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 133-142
summary	Perforated solar screens (PSS) are broadly adopted, providing obvious control over daylight, and also affecting heating and cooling loads. In this paper, a parametric information model is proposed for analyzing daylight of unit offices with PSS, aiming to ascertain the impact exerted by PSS design variables on daylighting, i.e. perforation size, porosity, overhanging distance and perforation width/height ratio. As the results uncover, in comparison to cases of no shading, PSS can reduce overlighting possibility and increase quantity of useful daylight percentage in the near and middle zones of room, but decrease illuminance in the far zone. Porosity is the factor of most significance with UDI100-2000 inclining maximally by 65%. Overhanging distance and width/height ratio rank behind and larger overhanging distance and ratio at 1 are recommend with more useful daylight in the maximum range. Perforation size is of the least importance.
keywords	Perforated solar screens; Dynamic daylight performance simulation; The Northeast China; Parametric design
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2018_082
id	caadria2018_082
authors	Zhu, Li and Yang, Yang
year	2018
title	Optimization Design Study of Lightweight Temporary Building Integrated with PCMS Through CFD Simulation
doi	https://doi.org/10.52842/conf.caadria.2018.2.155
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 155-164
summary	In fact, the phase change materials (PCMs) integrated in the building envelope structure can decrease the buildings' energy consumption by enhancing thermal energy storage capacity, which has been acknowledged and appreciated by many engineers and architects. To achieve a better practical application effect under the minimum cost principle and provide a different design method based on indoor thermal discomfort evaluation results for stakeholders, this paper numerically test the application effect of composite envelope under Tianjin climate through commercial computational fluid dynamic soft (Fluent). Further, parameter sensitivity to thermal performance of the composite envelope and indoor thermal discomfort are investigated in this paper, and two different evaluation indicators are introduced and used here. The numerical results obtained in this paper support the high potential of using PCM in lightweight temporary buildings and highlight the further optimization design work.
keywords	Optimization design; Lightweight temporary building; PCMs; CFD simulation
series	CAADRIA
email
last changed	2022/06/07 07:57

_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
doi	https://doi.org/10.52842/conf.acadia.2020.1.382
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.
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	caadria2018_029
id	caadria2018_029
authors	Ayoub, Mohammed
year	2018
title	Adaptive Façades:An Evaluation of Cellular Automata Controlled Dynamic Shading System Using New Hourly-Based Metrics
doi	https://doi.org/10.52842/conf.caadria.2018.2.083
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 83-92
summary	This research explores utilizing Cellular Automata patterns as climate-adaptive dynamic shading systems to mitigate the undesirable impacts by excessive solar penetration in cooling-dominant climates. The methodological procedure is realized through two main phases. The first evaluates all 256 Elementary Cellular Automata possible rules to elect the ones with good visual and random patterns, to ensure an equitable distribution of the natural daylight in internal spaces. Based on the newly developed hourly-based metrics, simulations are conducted in the second phase to evaluate the Cellular Automata controlled dynamic shadings performance, and formalize the adaptive façade variation logic that maximizes daylighting and minimizes energy demand.
keywords	Adaptive Façade; Dynamic Shading; Cellular Automata; Hourly-Based Metric; Performance Evaluation
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ecaade2018_297
id	ecaade2018_297
authors	Elesawy, Amr, Caranovic, Stefan, Zarb, Justin, Jayathissa, Prageeth and Schlueter, Arno
year	2018
title	HIVE Parametric Tool - A simplified energy simulation tool for educating architecture students
doi	https://doi.org/10.52842/conf.ecaade.2018.1.657
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. 657-666
summary	This paper presents HIVE, a new open source design toolbox, which focuses on teaching concepts of Energy and Climate Systems integration in buildings. .The aim is to empower architecture students to integrate aspects of energy efficiency during the architectural design process. The tool employs a simplified input format designed for ease of use and provides almost instantaneous, direct feedback to support students of all experience levels in the early, conceptual building design stages, where numerous iterations need to be conducted efficiently within a short period of time.The project aims to create a robust toolbox that will become an innovative reference in architecture and engineering - lectures, design studios, and project-based learning - through its capacity to quickly, and effectively, translate building energy systems concepts into graphic formats central to building design teaching and practice. The fast feedback that the users receive to their design parameters changes will enable an effective and quick build-up of tacit knowledge about building energy systems, complementary to the explicit, theoretical knowledge that is usually taught in courses, thus creating a more complete learning experience.
keywords	Building Simulation; Low-energy architecture; Integrated curriculum; PV Assessment; Simplified GUI; Architecture Education
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2018_001
id	ecaade2018_001
authors	Kepczynska-Walczak, A, Bialkowski, S (eds.)
year	2018
title	Computing for a better tomorrow, Volume 2
doi	https://doi.org/10.52842/conf.ecaade.2018.2
source	Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, 860 p.
summary	The theme of the 36th eCAADe Conference is Computing for a better tomorrow. When we consider the aims of research activities, design efforts and mastering towards ideal solutions in the area of digital technologies in the built environment, such as CAD, CAM, CAE, BIM, FM, GIS, VR, AR and others, we may realise the actual reason for that is to make life better, healthier, prettier, happier, more sustainable and smarter. The usefulness of undertaken studies might be tested and proved by the noticeable shared approach of putting humans and their environments in a central position: man and the environment, nature and design, art and technology... Natural disasters and climate change, crime and terrorism, disabilities and society ageing - architects, designers and scientists active in the built environment domain are not able to eliminate all the risk, dangers and problems of contemporary world. On the other hand, they have social and moral responsibilities to address human needs and take up this multifaceted challenge. It involves a co-operation and, moreover, an interdisciplinary and user-oriented approach. The complexity of raised problems should not discourage us, on the contrary, it should stimulate activities towards living up to human dreams of a better and sustainable tomorrow. This calls for a revision of methods and tools applied in research, teaching and practice. Where are we? What are the milestones and roadmaps at the end of the second decade of the 21st century? Do we really take the most of the abundance of accumulated knowledge? Or we skip to explore another undiscovered domains? We invited academicians, researchers, professionals and students from all over the world to address the multifaceted notions of using computing in architectural and related domains for developing a better tomorrow. Approaches discussing the theme from the perspective of computer aided design education; design processes and methods; design tool developments; and novel design applications, as well as real world experiments and case studies were welcomed. In order to specifically address some of the questions above, we defined subthemes and organised specific sessions around these subthemes, during the conference as well as in the proceedings.
series	eCAADe
last changed	2022/06/07 07:49

_id	ecaade2018_000
id	ecaade2018_000
authors	Kepczynska-Walczak, A, Bialkowski, S (eds.)
year	2018
title	Computing for a better tomorrow, Volume 1
doi	https://doi.org/10.52842/conf.ecaade.2018.1
source	Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, 858 p.
summary	The theme of the 36th eCAADe Conference is Computing for a better tomorrow. When we consider the aims of research activities, design efforts and mastering towards ideal solutions in the area of digital technologies in the built environment, such as CAD, CAM, CAE, BIM, FM, GIS, VR, AR and others, we may realise the actual reason for that is to make life better, healthier, prettier, happier, more sustainable and smarter. The usefulness of undertaken studies might be tested and proved by the noticeable shared approach of putting humans and their environments in a central position: man and the environment, nature and design, art and technology... Natural disasters and climate change, crime and terrorism, disabilities and society ageing - architects, designers and scientists active in the built environment domain are not able to eliminate all the risk, dangers and problems of contemporary world. On the other hand, they have social and moral responsibilities to address human needs and take up this multifaceted challenge. It involves a co-operation and, moreover, an interdisciplinary and user-oriented approach. The complexity of raised problems should not discourage us, on the contrary, it should stimulate activities towards living up to human dreams of a better and sustainable tomorrow. This calls for a revision of methods and tools applied in research, teaching and practice. Where are we? What are the milestones and roadmaps at the end of the second decade of the 21st century? Do we really take the most of the abundance of accumulated knowledge? Or we skip to explore another undiscovered domains? We invited academicians, researchers, professionals and students from all over the world to address the multifaceted notions of using computing in architectural and related domains for developing a better tomorrow. Approaches discussing the theme from the perspective of computer aided design education; design processes and methods; design tool developments; and novel design applications, as well as real world experiments and case studies were welcomed. In order to specifically address some of the questions above, we defined subthemes and organised specific sessions around these subthemes, during the conference as well as in the proceedings.
series	eCAADe
last changed	2022/06/07 07:49

_id	acadia18_414
id	acadia18_414
authors	Marcus, Adam; Ikeda, Margaret; Jones, Evan; Metcalf, Taylor; Oliver, John; Hammerstrom, Kamille; Gossard, Daniel
year	2018
title	Buoyant Ecologies Float Lab. Optimized upside-down benthos for sea level rise adaptation
doi	https://doi.org/10.52842/conf.acadia.2018.414
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. 414-423
summary	This paper describes the Buoyant Ecologies project, an ongoing research collaboration between architects, marine ecologists, and manufacturers focused on developing integrated architectural, ecological, and material responses to climate change and sea level rise. The research employs techniques of design computation and robotic fabrication to develop an approach to coastal resilience that is rooted in material performance as it relates to marine habitats. The project explores the design and production of highly performative fiber-reinforced polymer substrates that interact productively with the underwater ecosystem to promote multi-scalar habitats for invertebrate animals, encouraging ecological diversity and serving as wave-attenuating structures that mitigate coastal erosion. In this regard, the research leverages computational workflows of modeling, simulation, and fabrication to interface between human and nonhuman species in a way that benefits the broader ecosystem. The paper discusses an iterative prototyping process that has led to the design and construction of the Float Lab, a larger-scale prototype of a floating breakwater.
keywords	full paper, materials & adaptive systems, performance + simulation, digital fabrication, collaboration
series	ACADIA
type	paper
email
last changed	2022/06/07 07:59

_id	acadia18_444
id	acadia18_444
authors	Sabin, Jenny; Pranger, Dillon; Binkley, Clayton; Strobel, Kristen; Liu, Jingyang (Leo)
year	2018
title	Lumen
doi	https://doi.org/10.52842/conf.acadia.2018.444
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. 444-455
summary	This paper documents the computational design methods, digital fabrication strategies, and generative design process for Lumen, winner of MoMA & MoMA PS1’s 2017 Young Architects Program. The project was installed in the courtyard at MoMA PS1 in Long Island City, New York, during the summer of 2017. Two lightweight 3D digitally knitted fabric canopy structures composed of responsive tubular and cellular components employ recycled textiles, photo-luminescent and solar active yarns that absorb and store UV energy, change color, and emit light. This environment offers spaces of respite, exchange, and engagement as a 150 x 75-foot misting system responds to visitors’ proximity, activating fabric stalactites that produce a refreshing micro-climate. Families of robotically prototyped and woven recycled spool chairs provide seating throughout the courtyard. The canopies are digitally fabricated with over 1,000,000 yards of high tech responsive yarn and are supported by three 40+ foot tensegrity towers and the surrounding matrix of courtyard walls. Material responses to sunlight as well as physical participation are integral parts of our exploratory approach to the 2017 YAP brief. The project is mathematically generated through form-finding simulations informed by the sun, site, materials, program, and the material morphology of knitted cellular components. Resisting a biomimetic approach, Lumen employs an analogic design process where complex material behavior and processes are integrated with personal engagement and diverse programs. The comprehensive installation was designed by Jenny Sabin Studio and fabricated by Shima Seiki WHOLEGARMENT, Jacobsson Carruthers, and Dazian with structural engineering by Arup and lighting by Focus Lighting.
keywords	full paper, materials & adaptive systems, digital fabrication, flexible structures, performance + simulation
series	ACADIA
type	paper
email
last changed	2022/06/07 07:56

_id	ecaade2023_10
id	ecaade2023_10
authors	Sepúlveda, Abel, Eslamirad, Nasim and De Luca, Francesco
year	2023
title	Machine Learning Approach versus Prediction Formulas to Design Healthy Dwellings in a Cold Climate
doi	https://doi.org/10.52842/conf.ecaade.2023.2.359
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 359–368
summary	This paper presents a study about the prediction accuracy of daylight provision and overheating levels in dwellings when considering different methods (machine learning vs prediction formulas), training, and validation data sets. An existing high-rise building located in Tallinn, Estonia was considered to compare the best ML predictive method with novel prediction formulas. The quantification of daylight provision was conducted according to the European daylight standard EN 17037:2018 (based on minimum Daylight Factor (minDF)) and overheating level in terms of the degree-hour (DH) metric included in local regulations. The features included in the dataset are the minDF and DH values related to different combinations of design parameters: window-to-floor ratio, level of obstruction, g-value, and visible transmittance of the glazing system. Different training and validation data sets were obtained from a main data set of 5120 minDF values and 40960 DH values obtained through simulation with Radiance and EnergyPlus, respectively. For each combination of training and validation dataset, the accuracy of the ML model was quantified and compared with the accuracy of the prediction formulas. According to our results, the ML model could provide more accurate minDF/DH predictions than by using the prediction formulas for the same design parameters. However, the amount of room combinations needed to train the machine-learning model is larger than for the calibration of the prediction formulas. The paper discuss in detail the method to use in practice, depending on time and accuracy concerns.
keywords	Optimization, Daylight, Thermal Comfort, Overheating, Machine Learning, Predictive Model, Dwellings, Cold Climates
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2018_170
id	ecaade2018_170
authors	Shahsavari, Fatemeh, Koosha, Rasool, Vahid, Milad R., Yan, Wei and Clayton, Mark
year	2018
title	Towards the Application of Uncertainty Analysis in Architectural Design Decision-Making - A Probabilistic Model and Applications
doi	https://doi.org/10.52842/conf.ecaade.2018.1.295
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. 295-304
summary	To this day, proper handling of uncertainties -including unknown variables in primary stages of a design, an actual climate data, occupants' behavior, and degradation of material properties over the time- remains as a primary challenge in an architectural design decision-making process. For many years, conventional methods based on the architects' intuition have been used as a standard approach dealing with uncertainties and estimating the resulting errors. However, with buildings reaching great complexity in both their design and material selections, conventional approaches come short to account for ever-existing but unpredictable uncertainties and prove incapable of meeting the growing demand for precise and reliable predictions. This study aims to develop a probability-based framework and associated prototypes to employ uncertainty analysis and sensitivity analysis in architectural design decision-making. The current research explores an advanced physical model for thermal energy exchange characteristics of a hypothetical building and uses it as a test case to demonstrate the proposed probability-based analysis framework. The proposed framework provides a means to employ uncertainty and sensitivity analysis to improve reliability and effectiveness in a buildings design decision-making process.
keywords	Probability-based design decision; uncertainty analysis; sensitivity analysis; building energy consumption model
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2018_371
id	ecaade2018_371
authors	Stein?, Nicolai and Mortensen, Kristian
year	2018
title	Parametric Climate Responsive Design - A Tool for Evaluative Site Design
doi	https://doi.org/10.52842/conf.ecaade.2018.1.697
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. 697-706
summary	As its point of departure, this research contends that it must be possible to create a parametric design tool capable of simulating rainwater detention ponds in a 3D model, with a true size, based on relevant parameters. With a focus on site design, a preliminary study shows that it is possible to create a parametric tool capable of automatically calculating and visualising detention ponds. The premise is that the detention ponds must have the required size to store rainwater during heavy rainfall events to avoid flooding further down the hydraulic system. By merging the flexible structure of parametric modeling with the quantitative facts of stormwater management, the tool is able, in the early stages of the design process, to provide the designer with vital information regarding the size of detention ponds required to cope with different rainfall events.
keywords	parametric urban design; design evaluation; climate responsive design; site design
series	eCAADe
email
last changed	2022/06/07 07:56

_id	caadria2018_037
id	caadria2018_037
authors	Valitabar, Mahdi, Moghimi, Mahdi, Mahdavinejad, Mohammadjavad and Pilechiha, Peiman
year	2018
title	Design Optimum Responsive Façade Based on Visual Comfort and Energy Performance
doi	https://doi.org/10.52842/conf.caadria.2018.2.093
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 93-102
summary	Responsive Facades duo to continuously changes in climate conditions have an important role in reducing energy usage of buildings while providing higher level of visual comfort. This paper is a comparative study of responsive facades in a virtual format. Honeybee and Ladybug software were used for modeling and evaluating visual comfort as well as calculation of the energy consumption in a 3D model. It's a plug-in for grasshopper. This article's problem includes tow visual comfort criteria, DGP and illuminance. Various types of vertical and horizontal responsive facades were compared with a new form to achieve the optimal responsive façade. The results of research imply that with a few changes in secondary skin the new concept could slash energy use like common responsive facades while providing higher level of visual comfort. The important distinguishing point is the new concept from the same sample of responsive facades that is designed to pay more attention to the occupants' view connection with outside.
keywords	Responsive Facades; Architectural Design optimization; Visual comfort; Energy consumption
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	caadria2018_243
id	caadria2018_243
authors	Yin, Shi and Xiao, Yiqiang
year	2018
title	Research on the Impact of Traditional Urban Geometry on Outdoor Thermal Environment - Case Study of Neighbourhoods with Arcade Street in South China
doi	https://doi.org/10.52842/conf.caadria.2018.2.503
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 503-512
summary	With the deterioration of urban environment gradually in these decades, the demand for improving the outdoor thermal environment is increasing. The traditional architecture and urban planning contain abundant climate responding strategy, while current studies about it are still insufficient. Furthermore, many researches had profound results on how different urban design parameters would impact outdoor thermal comfort, but only a few of them could achieve an effective transformation into a practical scenario. Thus, this paper attempts to present the impact of different traditional urban form, which is extracted from different neighborhoods with arcade street in south China, on the outdoor thermal environment, through field measurements and climatic simulation with Envi-met. Moreover, these different complex urban forms were transferred into a simplified form with uniform character and simulating based on the same boundary condition. Comparing the SVF (Sky View Factor) and PET (Physiological Equivalent Temperature) of each point, the organic urban form would lead better thermal environment than others on the main road. On the other hand, the SVF of a point is not the only one aspect of its PET, which related with the form of urban geometry as well.
keywords	Climate Responsive Urban Design; Traditional Arcade-Street Neighborhood; Urban Geometry; Outdoor Thermal Comfort
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ecaade2018_266
id	ecaade2018_266
authors	Zhang, Catty Dan and Sayegh, Allen
year	2018
title	Multi-dimensional Medium-printing - Prototyping Robotic Thermal Devices for Sculpting Airflow
doi	https://doi.org/10.52842/conf.ecaade.2018.1.841
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. 841-850
summary	This research investigates the design and prototyping of fabrication machines that utilize multi-dimensional printing techniques to sculpt an invisible medium- airflow, inspired by its unique materiality, philosophical value, sensorial aspects, and increasing considerations of atmosphere and climate in architectural research and design. A series of robotic thermal devices were developed to modulate animated geometry sequences through scripted movements, designated coordinates, and temperature fluctuations. This paper elaborates in depth multi-stage developments and experiments that integrate various systems, fabrication processes, optical experiments and computational analysis. It situates the experimental process of the medium-driven fabrication with possible applications in architectural design as envisioning alternative environmental systems utilizing thermal byproducts under aesthetic and experiential considerations.
keywords	Airflow; Robotics; Additive Manufacturing; Fabrication; Atmosphere
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2018_370
id	ecaade2018_370
authors	Abdelmohsen, Sherif, Massoud, Passaint, El-Dabaa, Rana, Ibrahim, Aly and Mokbel, Tasbeh
year	2018
title	A Computational Method for Tracking the Hygroscopic Motion of Wood to develop Adaptive Architectural Skins
doi	https://doi.org/10.52842/conf.ecaade.2018.2.253
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 253-262
summary	Low-cost programmable materials such as wood have been utilized to replace mechanical actuators of adaptive architectural skins. Although research investigated ways to understand the hygroscopic response of wood to variations in humidity levels, there are still no clear methods developed to track and analyze such response. This paper introduces a computational method to analyze, track and store the hygroscopic response of wood through image analysis and continuous tracking of angular measurements in relation to time. This is done through a computational closed loop that links the smart material interface (SMI) representing hygroscopic response with a digital and tangible interface comprising a Flex sensor, Arduino kit, and FireFly plugin. Results show no significant difference between the proposed sensing mechanism and conventional image analysis tracking systems. Using the described method, acquiring real-time data can be utilized to develop learning mechanisms and predict the controlled motion of programmable material for adaptive architectural skins.
keywords	Hygroscopic properties of wood; Adaptive architecture; Programmable materials; Real-time tracking
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaaderis2018_107
id	ecaaderis2018_107
authors	Ardavani, Olympia, Zerefos, Stelios and Doulos, Lambros
year	2018
title	Predicting the effect of bio-luminescent plants for reducing energy consumption in urban environments
source	Odysseas Kontovourkis (ed.), Sustainable Computational Workflows [6th eCAADe Regional International Workshop Proceedings / ISBN 9789491207143], Department of Architecture, University of Cyprus, Nicosia, Cyprus, 24-25 May 2018, pp. 59-64
keywords	The present paper is part of an ongoing research that deals with the inclusion of the effect of bio-luminescence as a substitute or complimentary light source in urban environments, with the main scope of reducing energy consumption for lighting in exterior areas. The paper discusses the selection of genetically modified transgenic plants for use in the climate of Greece and through bibliographic reference and preliminary experiments the modeling of a simulated light source that has the bio-luminescent properties of a specific plant. The modeled light source can then be used in lighting simulation software. Results, through the lighting simulation of the modeled transgenic plant in a case study scenario, support the fact that bio-luminescent plants can be used as supporting lighting agents in a suburban setting and eventually reduce energy consumption for lighting.
series	eCAADe
email
last changed	2018/05/29 14:33

_id	ecaade2018_301
id	ecaade2018_301
authors	Cocho-Bermejo, Ana, Birgonul, Zeynep and Navarro-Mateu, Diego
year	2018
title	Adaptive & Morphogenetic City Research Laboratory
doi	https://doi.org/10.52842/conf.ecaade.2018.2.659
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
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

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