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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Hits 1 to 20 of 628

_id caadria2018_342
id caadria2018_342
authors Bhagat, Nikita, Rybkowski, Zofia, Kalantar, Negar, Dixit, Manish, Bryant, John and Mansoori, Maryam
year 2018
title Modulating Natural Ventilation to Enhance Resilience Through Modifying Nozzle Profiles - Exploring Rapid Prototyping Through 3D-Printing
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. 185-194
doi https://doi.org/10.52842/conf.caadria.2018.2.185
summary The study aimed to develop and test an environmentally friendly, easily deployable, and affordable solution for socio-economically challenged populations of the world. 3D-printing (additive manufacturing) was used as a rapid prototyping tool to develop and test a façade system that would modulate air velocity through modifying nozzle profiles to utilize natural cross ventilation techniques in order to improve human comfort in buildings. Constrained by seasonal weather and interior partitions which block the ability to cross ventilate, buildings can be equipped to perform at reduced energy loads and improved internal human comfort by using a façade system composed of retractable nozzles developed through this empirical research. This paper outlines the various stages of development and results obtained from physically testing different profiles of nozzle-forms that would populate the façade system. In addition to optimizing nozzle profiles, the team investigated the potential of collapsible tube systems to permit precise placement of natural ventilation directed at occupants of the built space.
keywords Natural ventilation; Wind velocity; Rapid prototyping; 3D-printing; Nozzle profiles
series CAADRIA
email
last changed 2022/06/07 07:52

_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
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
doi https://doi.org/10.52842/conf.caadria.2018.2.093
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 sigradi2018_1867
id sigradi2018_1867
authors Alawadhi, Mohammad; Yan, Wei
year 2018
title Geometry from 3D Photogrammetry for Building Energy Modeling
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. 631-637
summary Building energy modeling requires skilled labor, and there is a need to make environmental assessments of buildings more efficient and accessible for architects. A building energy model is based on collecting data from the real, physical world and representing them as a digital model. Recent digital photogrammetry tools can reconstruct real-world geometry by transforming photographs into 3D models automatically. However, there is a lack of accessible workflows that utilize this technology for building energy modeling and simulations. This paper presents a novel methodology to generate a building energy model from a photogrammetry-based 3D model using available tools and computer algorithms.
keywords 3D scanning; Building energy modeling; Building energy simulation; Digital photogrammetry; Photo-to-BEM
series SIGRADI
email
last changed 2021/03/28 19:58

_id acadia18_244
id acadia18_244
authors Belanger, Zackery; McGee, Wes; Newell, Catie
year 2018
title Slumped Glass: Auxetics and Acoustics
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. 244-249
doi https://doi.org/10.52842/conf.acadia.2018.244
summary This research investigates the effect of curvature, at a variety of scales, on the acoustic properties of glass. Plate glass, which has predictable and uniform acoustically reflective behavior, can be formed into curved surfaces through a combination of parametrically-driven auxetic pattern generation, CNC water-jet cutting, and controlled heat forming. When curved, plate glass becomes “activated” and complex acoustically-diffusive behavior emerges. The parametrically-driven auxetic perforation pattern allows the curvature to be altered and controlled across a formed pane of glass, and a correlation is demonstrated between the level of curvature and the extent of acoustically diffusive behavior. Beyond individual panels, curved panes can be aggregated to extend acoustic influence to the entire interior room condition, and the pace at which acoustic energy is distributed can be controlled. In this work the parameters surrounding the controlled slumping of glass are described, and room-sized formal and acoustic effects are studied using wave-based acoustic simulation techniques. This paper discusses the early stages of work in progress.
keywords work in progress, materials and adaptive systems, performance and simulation, digital fabrication
series ACADIA
type paper
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_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
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
doi https://doi.org/10.52842/conf.ecaade.2018.1.657
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_425
id ecaade2018_425
authors Foged, Isak Worre and Jensen, Mads Brath
year 2018
title Thermal Compositions Through Robot Based Thermal Mass Distribution
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. 783-790
doi https://doi.org/10.52842/conf.ecaade.2018.1.783
summary This work develops, implement and test a method and model for the distribution of material in relation to thermal performances through robot based extrusion of concrete. The aim is to suggest a way for architecture to use advanced fabrication techniques towards environmental passive strategies, which potentially decrease a buildings operative energy budget, while creating articulated thermal sensations for humans. Through computational, material and design explorations, by prototypes and a final demonstrator, the work proposes how thermal mass can be organized both in terms of its robot based successive fabrication based layering and as an approach to generate an assembly of thermal based building blocks into architectural structures.
keywords Robot based concrete extrusion; Thermal Architecture; Simulation; Demonstrator
series eCAADe
email
last changed 2022/06/07 07:51

_id ecaaderis2018_112
id ecaaderis2018_112
authors Kontovourkis, Odysseas and Konatzii, Panagiota
year 2018
title Design-static analysis and environmental assessment investigation based on a kinetic formwork-driven by digital fabrication principles
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. 131-140
keywords This research focuses on design-static analysis and environmental assessment procedures that are based on the idea of a flexible kinetic formwork used as the automated mechanism for the production of bricks for porous wall structures. A key aspect of this investigation is the Life Cycle Assessment (LCA) analysis study that is applied in order to achieve, in parallel with the automated procedure, the sustainable potential of the products. For this purpose, the design and construction flexibility of the product is taken into account from the early design decision making stage by examining different sizes of bricks under fabrication including massive or porous ones in order to test their design and static performance, aiming to adapt their shape in multiple functional and environmental scenarios. In parallel, the LCA impact of the given design scenarios are taken into consideration, again from the early design phase, and include, among other objectives, material minimization, less environmental impact of building materials and less energy consumption based on the proposed digital fabrication technology. This is examined by comparing digital design and robotic automated results using three types of ecological materials.
series eCAADe
email
last changed 2018/05/29 14:33

_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
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
doi https://doi.org/10.52842/conf.ecaade.2018.1.295
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_279
id ecaade2018_279
authors Wortmann, Thomas, Akbar, Zuardin and Schroepfer, Thomas
year 2018
title Surveying Fitness Landscapes with Performance Explorer - Supporting the Design of a Better Tomorrow with Interactive Visualizations
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. 621-630
doi https://doi.org/10.52842/conf.ecaade.2018.1.621
summary Increasing applications of parametric design and performance simulations by architectural designers present opportunities to design more resource- and energy-efficient buildings via simulation-based optimization. But Architectural Design Optimization (ADO) is less widespread that one might expect, due to, among other challenges, the problematic integration of optimization with architectural design. This problematic integration stems from a contrast between "wicked" or "co-evolving" architectural design problems and optimization problems. To mitigate the contrast between architectural and optimization problems, this paper presents Performance Explorer, an interactive, visual tool for performance-informed design space exploration (DSE). Performance-informed DSE emphasizes selection, refinement, and understanding over finding highest-performing design candidates. Performance Explorer allows interactive DSE via a visualization of a fitness landscape, with real-time feedback provided with a surrogate model. Performance Explorer is evaluated through a user test with thirty participants and emerges as more supportive and enjoyable to use than manual search and/or optimization.
keywords Architectural Design Optimization; Performance-informed Design; Interactive Visualization; Design Tool
series eCAADe
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
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
doi https://doi.org/10.52842/conf.caadria.2018.2.155
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 caadria2018_107
id caadria2018_107
authors Zhu, Yuehan, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year 2018
title SLAM-Based MR with Animated CFD for Building Design Simulation
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. 391-400
doi https://doi.org/10.52842/conf.caadria.2018.1.391
summary In advanced society, the existing building stock has huge social, economic, and environmental impact. There is a high demand for stock renovation, which gives existing buildings new lives, rather than building new ones. During the renovation process, it is necessary to simultaneously achieve architectural, facilities, structural, and environmental design in order to accomplish a healthy, comfortable, and energy-saving indoor environment, prevent delays in problem solving, and achieve a timely feedback process. This study tackled the development of an integrated system for stock renovation by considering computational fluid dynamics (CFD) and Mixed Reality (MR) in order to allow the simultaneous design of a building plan and thermal environment. The CFD analysis enables the simulation of the indoor thermal environment, including the effects of daylight and ventilation. The MR system visualizes the simulation results intuitively and makes renovation projects perform in a very efficient manner with regard to various stakeholders. In addition, a new CFD animation generation method is proposed in MR system, in order for users to consider the entirety of changes in the thermal environment.
keywords thermal environment; computational fluid dynamics (CFD); mixed reality (MR); daylight; ventilation
series CAADRIA
email
last changed 2022/06/07 07:57

_id ecaade2018_354
id ecaade2018_354
authors Leitão, António, Sousa, Sofia and Loio, Francisco
year 2018
title SafePath - An Agent-Based Framework to Simulate Crowd Behaviors
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. 621-628
doi https://doi.org/10.52842/conf.ecaade.2018.2.621
summary Nowadays, many buildings need to accommodate large numbers and/or large concentrations of people. Despite the efforts to produce building designs that can safely evacuate occupants, accidents continue to happen with dramatic consequences. This happens, in part, because of the difficulty in anticipating the consequences of design decisions regarding building's evacuation performance. In order to improve the situation, one needs to resort to evacuation simulation tools. These, however, have two problems: (1) they require analytic building models that are difficult to produce manually, and (2) they tend to focus on evacuations under non-emergency conditions, where panic phenomena is not present. In this paper, we propose a combination between algorithmic design and different evacuation simulators that allows for the quick simulation of many design variations.
keywords Agent-based Modelling; Algorithmic Design; Evacuation Performance; Evacuation Simulation
series eCAADe
type normal paper
email
last changed 2022/06/07 07:52

_id ecaade2018_329
id ecaade2018_329
authors De Luca, Francesco, Nejur, Andrei and Dogan, Timur
year 2018
title Facade-Floor-Cluster - Methodology for Determining Optimal Building Clusters for Solar Access and Floor Plan Layout in Urban Environments
source Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 585-594
doi https://doi.org/10.52842/conf.ecaade.2018.2.585
summary Daylight standards are one of the main factors for the shape and image of cities. With urbanization and ongoing densification of cities, new planning regulations are emerging in order to manage access to sun light. In Estonia a daylight standard defines the rights of light for existing buildings and the direct solar access requirement for new premises. The solar envelope method and environmental simulations to compute direct sun light hours on building façades can be used to design buildings that respect both daylight requirements. However, no existing tool integrates both methods in an easy to use manner. Further, the assessment of façade performance needs to be related to the design of interior layouts and of building clusters to be meaningful to architects. Hence, the present work presents a computational design workflow for the evaluation and optimisation of high density building clusters in urban environments in relation to direct solar access requirements and selected types of floor plans.
keywords Performance-driven Design; Urban Design; Direct Solar Access; Environmental Simulations and Evaluations; Parametric Modelling
series eCAADe
email
last changed 2022/06/07 07:55

_id ecaade2018_295
id ecaade2018_295
authors Dezen-Kempter, Eloisa, Cogima, Camila Kimi, Vieira de Paiva, Pedro Victor and Garcia de Carvalho, Marco Antonio
year 2018
title BIM for Heritage Documentation - An ontology-based approach
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. 213-222
doi https://doi.org/10.52842/conf.ecaade.2018.1.213
summary In the recent decades, the high-resolution remote sensing, through 3D laser scanning and photogrammetry benefited historic buildings maintenance, conservation, and restoration works. However, the dense surface models (DSM) generated from the data capture have nonstructured features as lack of topology and semantic discretization. The process to create a semantically oriented 3D model from the DSM, using the of Building Information Model technology, is a possibility to integrate historical information about the life cycle of the building to maintain and improving architectural valued building stock to its functional level and safeguarding its outstanding historical value. Our approach relies on an ontology-based system to represent the knowledge related to the building. Our work outlines a model-driven approach based on the hybrid data acquisition, its post-processing, the identification of the building' main features for the parametric modeling, and the development of an ontological map integrated with the BIM model. The methodology proposed was applied to a large-scale industrial historical building, located in Brazil. The DSM were compared, providing a qualitative assessment of the proposed method.
keywords Reality-based Surveying; Ontology-based System; BIM; Built heritage management
series eCAADe
email
last changed 2022/06/07 07:55

_id sigradi2018_1676
id sigradi2018_1676
authors Hudson, Roland; Velasco, Rodrigo
year 2018
title Thermal Comfort Clustering; Climate Classification in Colombia
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. 590-595
summary Our goal is to develop a climatic classification system that extends understanding of human comfort and guides the design of buildings to provide greater thermal comfort to occupants. We propose that using k-means clustering with multivariate climate data a classification system can be defined to objectively represent comfort zones in the tropics. Our study focuses on Colombia, but the approach extends to other countries located in the tropics.
keywords Human comfort; climate classification; clustering
series SIGRADI
email
last changed 2021/03/28 19:58

_id acadia20_574
id acadia20_574
authors Nguyen, John; Peters, Brady
year 2020
title Computational Fluid Dynamics in Building Design Practice
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. 574-583.
doi https://doi.org/10.52842/conf.acadia.2020.1.574
summary This paper provides a state-of-the-art of computational fluid dynamics (CFD) in the building industry. Two methods were used to find this new knowledge: a series of interviews with leading architecture, engineering, and software professionals; and a series of tests in which CFD software was evaluated using comparable criteria. The paper reports findings in technology, workflows, projects, current unmet needs, and future directions. In buildings, airflow is fundamental for heating and cooling, as well as occupant comfort and productivity. Despite its importance, the design of airflow systems is outside the realm of much of architectural design practice; but with advances in digital tools, it is now possible for architects to integrate air flow into their building design workflows (Peters and Peters 2018). As Chen (2009) states, “In order to regulate the indoor air parameters, it is essential to have suitable tools to predict ventilation performance in buildings.” By enabling scientific data to be conveyed in a visual process that provides useful analytical information to designers (Hartog and Koutamanis 2000), computer performance simulations have opened up new territories for design “by introducing environments in which we can manipulate and observe” (Kaijima et al. 2013). Beyond comfort and productivity, in recent months it has emerged that air flow may also be a matter of life and death. With the current global pandemic of SARS-CoV-2, it is indoor environments where infections most often happen (Qian et al. 2020). To design architecture in a post-COVID-19 environment will require an in-depth understanding of how air flows through space.
series ACADIA
type paper
email
last changed 2023/10/22 12:06

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

_id cdrf2021_286
id cdrf2021_286
authors Yimeng Wei, Areti Markopoulou, Yuanshuang Zhu,Eduardo Chamorro Martin, and Nikol Kirova
year 2021
title Additive Manufacture of Cellulose Based Bio-Material on Architectural Scale
source Proceedings of the 2021 DigitalFUTURES The 3rd International Conference on Computational Design and Robotic Fabrication (CDRF 2021)

doi https://doi.org/https://doi.org/10.1007/978-981-16-5983-6_27
summary There are severe environmental and ecological issues once we evaluate the architecture industry with LCA (Life Cycle Assessment), such as emission of CO2 caused by necessary high temperature for producing cement and significant amounts of Construction Demolition Waste (CDW) in deteriorated and obsolete buildings. One of the ways to solve these problems is Bio-Material. CELLULOSE and CHITON is the 1st and 2nd abundant substance in nature (Duro-Royo, J.: Aguahoja_ProgrammableWater-based Biocomposites for Digital Design and Fabrication across Scales. MIT, pp. 1–3 (2019)), which means significantly potential for architectural dimension production. Meanwhile, renewability and biodegradability make it more conducive to the current problem of construction pollution. The purpose of this study is to explore Cellulose Based Biomaterial and bring it into architectural scale additive manufacture that engages with performance in the material development, with respect to time of solidification and control of shrinkage, as well as offering mechanical strength. At present, the experiments have proved the possibility of developing a cellulose-chitosan- based composite into 3D-Printing Construction Material (Sanandiya, N.D., Vijay, Y., Dimopoulou, M., Dritsas, S., Fernandez, J.G.: Large-scale additive manufacturing with bioinspired cellulosic materials. Sci. Rep. 8(1), 1–5 (2018)). Moreover, The research shows that the characteristics (Such as waterproof, bending, compression, tensile, transparency) of the composite can be enhanced by different additives (such as xanthan gum, paper fiber, flour), which means it can be customized into various architectural components based on Performance Directional Optimization. This solution has a positive effect on environmental impact reduction and is of great significance in putting the architectural construction industry into a more environment-friendly and smart state.
series cdrf
email
last changed 2022/09/29 07:53

_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
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
doi https://doi.org/10.52842/conf.caadria.2018.2.503
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

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