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	sigradi2023_209
id	sigradi2023_209
authors	Mateus, Daniel, Henriques, Gonçalo Castro, Nepomuceno, Taiane Melo and Moro, Ana Clara
year	2023
title	Carioca modern façades: improving the performance of existing Brazilian modern buildings through their shading systems, the Bristol case study
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 461–472
summary	In the 1940s, modern Rio de Janeiro architects developed passive systems to improve buildings performance, without resorting to air conditioning systems. This article continues a research that studies the performance of a set of eight buildings, from the Carioca School, investigating in a prospective sense, how to improve their performance through computational methods. The authors select a new case study from these buildings, the Bristol building, and analyse the building performance, regarding insolation and illuminance, using the software Ladybug and Honeybee. Based on the simulation data, they use combinatorial modelling to change the position of each of the shading type’s modules, of the Bristol west façade to improve performance. Results suggest that is possible to improve the building performance, and the modern buildings legacy, using computational methods to improve and reduce energy consumption, encouraging natural systems and diminishing the need for artificial air conditioning systems.
keywords	Generative design, Shading performance, Insolation and illuminance analysis, Combinatorial modelling, Carioca modern façades
series	SIGraDi
email
last changed	2024/03/08 14:07

_id	ijac202321208
id	ijac202321208
authors	Ennemoser, Benjamin; Mayrhofer-Hufnagl, Ingrid
year	2023
title	Design across multi-scale datasets by developing a novel approach to 3DGANs
source	International Journal of Architectural Computing 2023, Vol. 21 - no. 2, 358–373
summary	The development of Generative Adversarial Networks (GANs) has accelerated the research of Artificial Intelligence (AI) in architecture as a generative tool. However, since their initial invention, many versions have been developed that only focus on 2D image datasets for training and images as output. The current state of 3DGAN research has yielded promising results. However, these contributions focus primarily on building mass, extrusion of 2D plans, or the overall shape of objects. In comparison, our newly developed 3DGAN approach, using fully spatial building datasets, demonstrates that unprecedented interconnections across different scales are possible resulting in unconventional spatial configurations. Unlike a traditional design process, based on analyzing only a few precedents (typology) according to the task, by collaborating with the machine we can draw on a significantly wider variety of buildings across multiple typologies. In addition, the dataset was extended beyond the scale of complete buildings and involved building components that define space. Thus, our results achieve a high spatial diversity. A detailed analysis of the results also revealed new hybrid architectural elements illustrating that the machine continued the interconnections of scale since elements were not explicitly part of the dataset, becoming a true design collaborator.
keywords	3D Generative adversarial networks, architectural design, Spatial Interpolations
series	journal
last changed	2024/04/17 14:30

_id	acadia23_v2_508
id	acadia23_v2_508
authors	Koehler, Daniel; liu, Zidong
year	2023
title	Exploring Building Typologies and their Socioeconomic Contexts: Compositional Insights from Large-Scale-Text-to-Image Models
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 508-517.
summary	This study utilizes large-scale-text-to-image (LLI) models to investigate possibilities to describe building types data-centric. With the introduction of ""data-centric typologies"" we hope to challenge traditional architectural classification systems, while reviving type as an architectural strategy to link socio-economic contexts to the physical form of a place. By examining artificial intelligence (AI)-generated images of various city buildings, the research explores compositional characteristics, realism, and model limitations. We generated and segmented a synthetic dataset of 15,000 images into individual building segments, conducting a statistical analysis of compositional features across 500 cities. Despite dataset biases and limitations, our results indicate that synthetic databases provide a deeper analytical basis than traditional methods. The generated dataset alone paints forensic landscapes of locales that are not typically showcased. Particularly from a pedagogical perspective, data-centric investigations can serve as a valuable tool for illustrating the diversity of cities and living modes. The findings show that socio-economic attributes, like quality of life, are more closely tied to neighborhoods or projects than entire cities. Consequently, architectural typologies are most effective at a human-ori- ented scale, interfacing city with architecture.
series	ACADIA
type	paper
email
last changed	2024/12/20 09:13

_id	caadria2023_359
id	caadria2023_359
authors	Wang, Xiao, Tang, Peng and Cai, Chenyi
year	2023
title	Traditional Chinese Village Morphological Feature Extraction and Cluster Analysis Based on Multi-source Data and Machine Learning
doi	https://doi.org/10.52842/conf.caadria.2023.1.179
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 179–188
summary	This study of traditional village morphology provides a possible entry point for understanding the growth patterns of settlements for sustainable development. This study proposes a hybrid data-driven approach to support quantitative morphological descriptions and to further morphology-related studies using open-source map data and deep learning approaches. We construct a dataset of 6819 traditional villages on the Chinese official list with geometrical, geographic and related no-material information. The images containing village buildings combined with roads or other environments are represented in binary to explore the integrated influence of these elements. The neural network is implemented to quantify the morphological features into feature vectors. After dimension reduction, cluster analysis is conducted by calculating the distance between the feature vectors to reveal five main types of Chinese traditional village patterns. The proposed method considers their overall spatial form and other factors such as size, transportation, graphical structure, and density. At the same time, it explores a framework using machine learning in the conservation and renewal work. And it also shows the possibility of data-driven methods for design and decision making.
keywords	Cluster analysis, traditional village, morphology, multi-source data, machine learning, rural development
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	sigradi2023_49
id	sigradi2023_49
authors	Yang, Ruyi, Shi, Hanyu, Yang, Zeyu and Sun, Zeyi
year	2023
title	Landscapes in Social Media: A Quantitative Analysis of Color Harmony in Historical Buildings
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 149–160
summary	Historic buildings are vital repositories of local historical memory in urban environments. Color harmony, a key aspect of urban historical landscapes, lacks comprehensive quantitative standards and detailed research, notably concerning the evaluation of color harmony in historic contexts, encompassing monochromatic, analogous, and complementary hues. Integrating quantitative color indices and assessment techniques into historic preservation strategies necessitates further exploration. This study employs semantic segmentation algorithms, image property detection, and color pattern quantification to evaluate color harmony in historical buildings. Analyzing 100 viral Instagram images, dominant colors were extracted, categorized into 12 hue-based ranges, and assessed for harmonious combinations. Analogous and complementary schemes predominate, with 1–2 color harmonies and 2–4 color ranges recommended for optimal richness without visual clutter. Our findings offer a precise method, informed by popular social media images, to guide the conservation and restoration of historic landscapes with quantified color harmony guidelines.
keywords	Cultural Landscapes and New Technologies, Historical Landscape Renovation, Color Harmony, Color Scheme, Quantitative Analysis
series	SIGraDi
email
last changed	2024/03/08 14:06

_id	caadria2023_70
id	caadria2023_70
authors	Al-Douri, Firas, Yan, Wei and Jahic, Edin
year	2023
title	Campusim: An Integrated Parametric BIM for Campus Design Simulation and Optimization
doi	https://doi.org/10.52842/conf.caadria.2023.2.471
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 471–480
summary	Although simulation models have been recently employed to model and examine pedestrian behavior in urban areas, comparable research has not been pursued in campus environments despite their importance as a critical area of inquiry. Those models' paucity and methodological limitations suggest investigating new research and design strategies to objectively assess and describe how the qualities of campus spaces and zones influence human behavior and, hence, predict the patterns of users' interaction and space usage. Those patterns and their impact on health have been pointed out as critical to the relationship among public space and quality of life due to Covid-19. There is an urgent need to develop decision support tools that would support interactive design processes and enhance the quality of open space design in terms of sense of space, place-making, and user interaction. To that goal, this study has proposed the integrated parametric BIM-based campus life simulation "CampuSIM" as a method for parametrization of the qualities of pedestrian campus zones and spaces. The study proposed the use of multi-objective optimization methods to fulfill various campus quantifiable and non-quantifiable design objectives. The significance of the proposed tool will result from its potential application in a wide range of complex, dynamic pedestrian behavior scenarios such as flows, social simulations, and design.
keywords	Campus Modelling, Campus Master Planning, Campus Design, Parametric Modelling, BIM, Design Optimization
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	ascaad2023_061
id	ascaad2023_061
authors	Yabanigul, Meryem; Özer, Derya
year	2023
title	A Systematic Review of Robotic 3D Concrete Printing
source	C+++: Computation, Culture, and Context – Proceedings of the 11th International Conference of the Arab Society for Computation in Architecture, Art and Design (ASCAAD), University of Petra, Amman, Jordan [Hybrid Conference] 7-9 November 2023, pp. 750-766.
summary	This systematic review examines the patterns, themes, and trends in the field of robotic 3D concrete printing. The methodology entails a comprehensive search and screening of relevant literature from databases Scopus and Cumincad. Through a stringent screening process based on specific inclusion criteria, resulting in a final dataset of research papers. The results are analyzed by network visualization techniques and keyword co-occurrence analysis with the data visualization tool VOSviewer. The network visualization enables insights into the literature structure and identifies research themes and emerging trends. The results emphasize integrating technological developments, optimizing the printing process, investigating concrete materials and their performance, and focusing on sustainability in 3D concrete printing. This review contributes to the comprehension of the current status and advances in robotic 3D concrete printing.
series	ASCAAD
email
last changed	2024/02/13 14:40

_id	sigradi2023_438
id	sigradi2023_438
authors	Braz Barcellos, Daniel, Lucena de Assis Bezerra, Giulia Fernanda and Oukawa, Ana Carolina
year	2023
title	Impacts on the landscape coast of Joao Pessoa-PB: an analysis based on digital simulations
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1809–1820
summary	The research analyzes the impact of artificial beach nourishment in Joao Pessoa - PB, considering the increase in buildings and its environmental and social consequences. Urban beaches are particularly vulnerable to the growing effects of climate change. Artificial beach nourishment is proposed as a response to coastal erosion, but experts raise concerns about its high cost, ecosystem imbalance, destruction of fragile biomes, and impact on local communities. The research employs digital simulation (Scheer, 2014) through generative visual models as resources to analyze the beach nourishment project in Cabo Branco and Tambaú. Various visualization techniques and means are overlapped to simulate images linked to the real impacts of the proposed interventions. The study also explores the relationships between gray, green, and blue infrastructures and the effects on shading and ventilation caused by the buildings. The purpose is to understand the social, environmental, and urban dynamics' impacts on the city.
keywords	Simulation, Beach nourishment, Coastal erosion
series	SIGraDi
email
last changed	2024/03/08 14:09

_id	ijac202321309
id	ijac202321309
authors	Carta, Silvio; Tommaso Turchi; Luigi Pintacuda; Ljubomir Jankovic
year	2023
title	RECOMM. Measuring resilient communities: An analytical and predictive tool
source	International Journal of Architectural Computing 2023, Vol. 21 - no. 3, 536–560
summary	We present initial findings of our project RECOMM: an analytical tool that evaluates the resilience of urban areas. The tool utilises Deep Neural Networks to identify characteristics of resilience and assigns a resilience score to different urban areas based on the proximity to certain features such as green spaces, buildings, natural elements and infrastructure. The tool also identifies which urban morphological factors have the greatest impact on resilience. The method uses Convolutional Neural Networks with the Keras library on Tensorflow for calculations and the results are displayed in an online demo built with Node.js and React.js. This work contributes to the analysis and design of sustainable cities and communities by offering a tool to assess resilience through urban form
keywords	Sustainable cities and communities, resilient communities, CNN, urban morphology
series	journal
last changed	2024/04/17 14:30

_id	caadria2023_296
id	caadria2023_296
authors	Choi, Yoonjung and Lee, Hyunsoo
year	2023
title	Geographic Information System Based Analysis on Walkability of Commercial Streets at Growing Stage
doi	https://doi.org/10.52842/conf.caadria.2023.1.575
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 575–584
summary	From the perspective of human-centered urban planning, walkability is a crucial concept for enhancing the quality of the neighborhood environment experienced in day-to-day life. Commercial facilities have the greatest impact on a walkable neighborhood environment. However, few studies analyzed the walkable environment's characteristics in consideration of local businesses' economic growth. This study aims to classify commercial areas according to vitality level and to analyze the correlation between store density and walkability factors through a case study on Seongsu district, Seoul, a commercial district where small businesses are growing. First, a Geographic Information System (GIS) based hotspot analysis is performed using the commercial area vitality index to select a target area for the case study. Second, through the Seongsu district case study, the walkability features of the cluster at the street level are evaluated and compared based on 3D (density, diversity, design). The results show that store density is correlated with walkability factors in growing commercial areas, and that there are distinct spatial differences depending on the factors. Based on this study's results, it is possible to propose a combination of a multi-use main street, a commercial street close to life, and a specialized street adjacent to green spaces.
keywords	Walkability, Commercial Area, GIS, Hotspot Analysis, Density Based Clustering, Multi-source Data
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	ecaade2023_73
id	ecaade2023_73
authors	Daher, Elie, Kubicki, Sylvain and Marvuglia, Antonino
year	2023
title	A Digital Collaborative Framework for Evaluating the Environmental Impacts and the Potential of Vertical Building Extensions
doi	https://doi.org/10.52842/conf.ecaade.2023.2.165
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. 165–174
summary	In this paper, we focus on the regeneration of the existing building stock coupled to the implementation of decarbonization policies. We propose a digital collaborative framework for the extension of buildings enabling a quick comparison of neighborhoods in the early design stages. The framework proposes the potential extendable roofs based on Geospatial information and a set of rules and further engineering analysis that are defined by the experts. The system selects the buildings that can host roof vertical extensions, with a first analysis of the expected Life Cycle Assessment (LCA) impacts based on previous LCA aggregated models.
keywords	Life Cycle Assessment (LCA), Urban Planning, Generative Design, Decarbonization
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaaderis2023_56
id	ecaaderis2023_56
authors	De Luca, Francesco
year	2023
title	Challenges and Ways Forward for Performance-driven and Simulation-based Computational Design for Sustainable Cities and Communities: Reflections on the RIS2023 Theme
source	De Luca, F, Lykouras, I and Wurzer, G (eds.), Proceedings of the 9th eCAADe Regional International Symposium, TalTech, 15 - 16 June 2023, pp. 189–192
summary	Cities are among the main responsible of the environmental crisis and the quality of urban life is endangered by climate change and the increasing urbanization. Architects needs efficient design tools and methods to improve the climate adaptation, healthiness and resource efficiency of the built environment. Performance-driven and simulation-based computational design can support them in this task. This short paper discusses the challenges and ways forward in the use of simulation, computation and analysis methods and tools for the realization of sustainable cities and communities.
keywords	Computational Design, Performance-driven Design, Environmental Simulations, Urban Design
series	eCAADe
email
last changed	2024/02/05 14:28

_id	ecaaderis2023_5
id	ecaaderis2023_5
authors	Eslamiad, Nasim, De Luca, Francesco, Sepúlveda, Abel and Sakari Lylykangas, Kimmo
year	2023
title	Methodology for Improving Wind Comfort in a Cold Region Through Modular Urban Elements
source	De Luca, F, Lykouras, I and Wurzer, G (eds.), Proceedings of the 9th eCAADe Regional International Symposium, TalTech, 15 - 16 June 2023, pp. 5–14
summary	This paper discusses wind comfort improvement strategies as a crucial microclimatic issue in urban planning. The investigation used pergolas as a wind catcher/breaker element to improve wind comfort at the pedestrian level in Tallinn, Estonia, during extraordinarily windy and cold times of the year. We analyzed the impact of buildings and other surrounding elements on wind flow to design pergolas as windbreakers. Case studies include three urban areas. The wind flow has been simulated using Computational Fluid Dynamics (CFD) on the micro-climate scale using ENVI-met. The CFD analysis allowed us to understand urban wind flow phenomena and apply solutions to mitigate distress and guarantee more comfort. According to the CFD results, the urban zones show a high rate of wind speed under different meteorological conditions and, consequently, extreme wind discomfort. The analysis results of 48 scenarios based on different meteorological cases were used to select the most performative retrofit solution and provided insight into windbreak pergolas’ size, layout, and location to provide comfort. Thus, improved geometrical models of case studies were simulated and analyzed. The results showed that the designed pergolas offer high wind comfort at the pedestrian level, especially in open urban areas, and could assist municipalities, city planners, and urban designers in creating more comfortable and sustainable urban environments.
keywords	Sustainable urban environment, Computational Fluid Dynamics (CFD) analysis, wind comfort, wind chill, windbreaker element
series	eCAADe
email
last changed	2024/02/05 14:28

_id	ecaaderis2023_44
id	ecaaderis2023_44
authors	Foged, Isak
year	2023
title	Thermal Engagement: A method and model for analysing and organising thermal-active materials close to the human body
source	De Luca, F, Lykouras, I and Wurzer, G (eds.), Proceedings of the 9th eCAADe Regional International Symposium, TalTech, 15 - 16 June 2023, pp. 89–97
summary	This study examines the performance and application of thermal-active materials by use of phase-change-composite structures close to the human body. The aim is to understand and model the thermal impact on a person in an office environment through 3 design test cases. In this process a design method is proposed to position PCM-wood based composites. Investigations are based on material studies by composite development and thermographic analysis, computational studies by generative design and thermal sensation modelling, and comparative studies from computational design and analysis processes by graphical mapping of results. The study finds that the PCM-wood composites have an impact on the thermal sensation within the cases studied, but only by the application of a large thermal-active surface close to the human.
keywords	mal Active Materials, Thermal Sensation, Generative, Simulation
series	eCAADe
email
last changed	2024/02/05 14:28

_id	sigradi2023_179
id	sigradi2023_179
authors	He, Mingyi, Su, Zixin, Xie, Yantong and Tu, Han
year	2023
title	Linguistic Landscape Research on the Relationship of Urban Language and Commerce Based on Large-scale Street View Images
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 1737–1748
summary	Urban linguistic landscape studies examine visible written languages in urban areas, revealing socio-economic information, such as the place identity of minority groups and the localization processes of exotic language varieties. However, studies mainly utilize qualitative analysis or small-scale image acquisition without integrating socioeconomic quantitative analysis. Our research aims to expand the quantitative indicators of linguistic landscape in city-wide scale to explore the relationship between detailed quantitative text analysis and consumer prices in spatially differentiated and temporally controlled urban street view images. We examine such correlation through street view images scrapping of historical Baidu Street View images, semantic segmentation machine learning tools, and Optical Character Recognition. Our study reveals a negative correlation between linguistic landscape indicators in street signage and consumption levels. This research provides quantitative methods for large-scale and repeatable study of linguistic landscape, introducing a novel perspective on linguistic landscape evidence for further urban economic development and urban segmentation.
keywords	Cultural landscapes and new technologies, Linguistic landscape, Machine learning, Urban economy, Street view
series	SIGraDi
email
last changed	2024/03/08 14:09

_id	ecaade2023_387
id	ecaade2023_387
authors	Huang, Sheng-Yang, Llabres-Valls, Enriqueta, Tabony, Aiman and Castillo, Luis Carlos
year	2023
title	Damascus House: Exploring the connectionist embodiment of the Islamic environmental intelligence by design
doi	https://doi.org/10.52842/conf.ecaade.2023.2.871
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 1, Graz, 20-22 September 2023, pp. 871–880
summary	Past studies have demonstrated that connectionist artificial intelligence (AI) has superior capabilities for style-based generative design because it automatically searches, extracts, and applies features according to the data-represented probabilistic profile of an architectural style. To further navigate its architectural affordance, this practice-led research project explores employing connectionist artificial intelligence to produce Islamic-style architectural forms that have historically revealed environmental intelligence by embedding sociocultural factors in response to the physical and human environmental design heritage. The project applies the Pix2Pix model and inverts the logic of some existing studies to predict the building plans from daylight maps. Use multi-objective optimisation algorithms to iteratively optimise factors such as building porosity, spatial quality, and microclimate, and use it as a condition to apply a Pix2Pix to generate a corresponding porosity model that is parametrised for the further design process. The model was trained on 120 augmented, paired images based on the 30 selected examples of Islamic architecture from the Damascus Atlas to capture the relationship between the massing distribution of walls and the arrangement of major elements in an Islamic courtyard house and its thermal performance. This study seeks to test if connectionist AI can be used as a generative design tool to understand the historical development of spatial relationships in Islamic courtyard houses. It focuses on non-repetitive style metrics, embedding physical and cultural factors into data representation. The resulting environmentally intelligent model adapts to the context, with optimisation being a pragmatic design guide rather than the ultimate goal. Although the inference is based on objective probabilistic facts, the influence of the informational framework interpreted by the designers must be acknowledged.
keywords	Connectionist Artificial Intelligence, Digital Design, Environmental Intelligence, Islamic Architecture, Style-based Generative Design
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2023_144
id	ecaade2023_144
authors	Irsyad, Naufal Andi, Alkadri, Miktha Farid, De Luca, Francesco, Arif, Muhammad and Heinzelmann, Florian
year	2023
title	Tropical Responsive Envelopes for Urban Heat Island mitigation in tropical countries
doi	https://doi.org/10.52842/conf.ecaade.2023.2.249
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. 249–258
summary	Since tropical countries present wet and dry seasons all year round, the objective of solar envelopes significantly shifts and aims to minimize the penetration of direct sun access to the buildings, due to high temperatures. As a consequence, the air conditioner (AC) frequently becomes a short-term solution to mitigate a building’s temperature, which unfortunately contributes to an annual increase in energy consumption. Accordingly, shading conditions become considerably relevant for urban form generation in tropical contexts, especially to reduce the UHI effect for tropical high-rise building areas. The concept of tropical responsive envelopes is then proposed not only to create shading for adjacent buildings but also to perform self-building protection that refers to self-shading envelopes. This concept specifically deals with solar-radiation reduction in order to achieve appropriate daylight in both the proposed building and the surrounding context. To do so, a solar protection plane and ray tracing analysis are performed based on shading performance criteria. In parallel, solar radiation simulation is applied to identify potential solar collectors on the building surfaces. This provides architects with a comprehensive method of tackling passive solar design strategy for urban equatorial climates
keywords	Solar Envelopes, Shading Envelopes, Self-shading Envelopes, Tropical Responsive Envelopes
series	eCAADe
email
last changed	2023/12/10 10:49

_id	caadria2023_437
id	caadria2023_437
authors	Jahanara, Alireza, Suk, Jae Yong and Suk, Jae Yong
year	2023
title	Parametric Design and Analysis of Dynamic Louver for Optimized Daylighting in High-Rise Office Buildings
doi	https://doi.org/10.52842/conf.caadria.2023.1.493
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 493–502
summary	This paper presents an innovative approach to optimize daylighting in high-rise office buildings, through parametric analysis of dynamic shading system designs. This study concentrates on a kinetic shading angle optimization plot to determine the optimum angles of the dynamic horizontal louver shading systems at specific times with integrated operationalization equations and parametric performance simulations. Solar irradiance and daylighting were considered as performance metrics in this research, which investigated the integration process using the operationalization method in order to find an optimal rotational angle of dynamic horizontal louver shading systems at the specified time. In this study, dynamic horizontal louver shading systems were positioned in different orientations (Southeast and Southwest) to evaluate the effect of the shading’s tilt angles on daylighting. To quantify the daylight quality, maximum and average illuminance were obtained from the raw illuminance on the work plane. At the end, the outcomes of the analyses as well as the optimized angle of the dynamic louver shading were compared to a base case with no shading, and the results prove that dynamic louver with the support of an operationalization method to find optimum angle and testing with parametric performance software leads to optimizing the daylighting performance, enhancing it by approximately 14%.
keywords	Parametric Design, Dynamic Louver, Solar Irradiance, Daylighting
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	sigradi2023_101
id	sigradi2023_101
authors	JORGE, LEONARDO, ARAUJO, DAVI, MONTEIRO, GUSTAVO, CARDOSO, DANIEL and LIMA, MARIANA
year	2023
title	Framework for Automated Evaluation in the Design Process of Healthcare Buildings
source	García Amen, F, Goni Fitipaldo, A L and Armagno Gentile, Á (eds.), Accelerated Landscapes - Proceedings of the XXVII International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2023), Punta del Este, Maldonado, Uruguay, 29 November - 1 December 2023, pp. 161–170
summary	The healthcare building design process involves complex decision-making, considering both normative restrictions and other essential program qualities. To address this challenge, a BIM framework is proposed, providing multi-criteria evaluations for architects at various design stages. The framework uses semantic modules to measure the BIM model and compare results with reference goals, including restrictive norms. Employing Design Science Research, existing evaluation modules were integrated. The current implementation includes normative checks, indoor environmental quality, and spatial syntax indicators analysis. The contribution lies in offering a tool that optimizes the healthcare building design process by providing visual feedback for the users, who are designers and regulatory bodies.
keywords	Analysis, BIM, Healthcare, Computational design, Decision support system
series	SIGraDi
email
last changed	2024/03/08 14:06

_id	ecaade2023_272
id	ecaade2023_272
authors	Jorge, Leonardo, Eyesen, Carolina and Beirao, José Nuno
year	2023
title	Design Cost Analysis in a BIM/VPI Framework
doi	https://doi.org/10.52842/conf.ecaade.2023.2.217
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. 217–226
summary	This paper aims to investigate the relations between architectural quality and financial feasibility of the design for constructing a sustainable environment. how is it possible to make the architect a protagonist of the design decision-making process, in which the financial impact on the final result is often most valued? The design process is often the stage of conflicting processes, and in particular, most requirements aiming at design sustainability usually collide with the financial plan and investment feasibility. How can the architect manage these conflicting requirements at early stages of the design process and keep track of their impacts as the design progresses in detail? During the design process, the architect is responsible to generate options seeking to meet the objectives of the stakeholders, while balancing multiple criteria such as sustainability requirements, cost, aesthetics and other. The set of design objectives must not impair the other qualities of the building or subjugate them to the final cost. In this way, we propose a digital tool to assist the architect, based on customer feedback, in different stages of the architectural project. Considering that financial feasibility is an essential design objective, the architect can operate a central role in this process, by balancing design decisions. The method consisted of (1) definition of the calculation models, (2) computational implementation of the tool (composed of a BIM modeling tool and an evaluation module), and (3) carrying out the case study. Initially, we present the framework, with an approach to the different stages of the project, systematized in LOD. Then, the different calculation models were implemented in a BIM/VPI environment, following a modular structure. We show a case study based on a housing project. Finally, we implemented the tool in a professional environment. Once a design program and a maximum investment value is defined for that program, the tool allows to confront construction cost and sustainability objectives (e.g.: designing a nZEB - netZero Energy Building) along the design process at different levels of detail. The flowchart for our BIM/VPI algorithm is presented and discussed in regard to its possible contributions to the production of more sustainable environments.
keywords	Performance-based Design, Collaborative/Multi-disciplinary Design, Building Information Modelling, LOD, Algorithmic and Parametric Design, Decision-making
series	eCAADe
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last changed	2023/12/10 10:49

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