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	ecaade2021_130
id	ecaade2021_130
authors	Alassaf, Nancy and Clayton, Mark
year	2021
title	The Use of Diagrammatic Reasoning to Aid Conceptual Design in Building Information Modeling (BIM)
doi	https://doi.org/10.52842/conf.ecaade.2021.2.039
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 39-48
summary	Architectural design is an intellectual activity where the architect moves from the abstract to the real. In this process, the abstract represents the logical reasoning of how architectural form is configured or structured, while the real refers to the final physical form. Diagrams become an integral part of the conceptual design stage because they mediate between those two realms. Building Information Modeling (BIM) can reallocate the effort and time to emphasize conceptual design. However, many consider BIM a professionally-oriented tool that is less suitable for the early design stages. This research suggests that architectural design reasoning can be achieved using constraint-based parametric diagrams to aid conceptual design in BIM. The study examines several techniques and constructs a framework to use diagrams in the early design stages. This framework has been investigated through Villa Stein and Citrohan House by Le Corbusier. This study addresses two roles of diagrams: the generative role to create various design solutions and the analytical one to conduct an early performance study of the building. Our research contributes to the discussion on the ways designers can use digital diagrams to support the architectural design process.
keywords	Building Information Modeling (BIM); Performance analysis ; Architectural Form; Diagram; Parametric modeling
series	eCAADe
email
last changed	2022/06/07 07:54

_id	caadria2021_404
id	caadria2021_404
authors	Kim, Jong Bum, Aman, Jayedi and Balakrishnan, Bimal
year	2021
title	Forecasting performance of Smart Growth development with parametric BIM-based microclimate simulations
doi	https://doi.org/10.52842/conf.caadria.2021.1.411
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 411-420
summary	Smart Growth is a fast-growing urban design and planning movement developed by the United States Environmental Protection Agency (EPA). These regulations control urban morphologies such as building form, position, faÃ§ade configurations, building materials, road configurations, which have an explicit association with the microclimate and outdoor comfort. This paper presents an urban modeling and simulation framework that can represent the urban morphology and its impact on microclimate shaped by Smart Growth. First, we created urban models using custom parametric objects and a building component library in BIM. Then we integrated parametric BIM and multiple performance simulations, including wind analysis, solar accessibility, and energy use. For implementation, a case study was carried out using two Smart Growth regulations in the Kansas City metropolitan area. The paper elaborates on the findings from simulation results, challenges in implementation, and limitations of the proposed framework to manage a large number of regulation variables in simulation.
keywords	Smart Growth Regulations; Building Information Modeling (BIM); Parametric Simulation; Microclimate Simulation; Computational Fluid Dynamics (CFD)
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2021_078
id	caadria2021_078
authors	Li, Chao and Petzold, Frank
year	2021
title	Integrating digital design and Additive Manufacturing through BIM-based digital support - A decision support system using Semantic Web and Multi-Criteria Decision Making
doi	https://doi.org/10.52842/conf.caadria.2021.1.263
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 263-270
summary	Additive Manufacturing in Construction (AMC) envisions a possible alternative for predominantly manual construction with various benefits. In addition to the well-known extrusion-based implementations of AMC, other techniques have been developed to meet various visual and functional requirement. However, the application of Additive Manufacturing (AM) into construction projects has to be carefully evaluated, especially during the early phases of architectural design when important decisions are made. From this point, this work devised an AMC-Oriented Design Decision Support System (DDSS) to identify suitable building components which can be manufactured with specific AM methods. In such a DDSS, knowledge base and decision-making strategy are both critical. To this end, principle of leveraging Semantic Web techniques and Multi-Criteria Decision Making (MCDM) methodologies will be addressed. At the current stage of our research, pre-printed building components using concrete material are considered during the decision support process.
keywords	Additive Manufacturing in Construction; BIM; Design Decision Support System; Multi-Criteria Decision Making; Semantic Web
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2021_006
id	caadria2021_006
authors	Agirachman, Fauzan Alfi and Shinozaki, Michihiko
year	2021
title	VRDR - An Attempt to Evaluate BIM-based Design Studio Outcome Through Virtual Reality
doi	https://doi.org/10.52842/conf.caadria.2021.2.223
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 223-232
summary	During the COVID-19 pandemic situation, educational institutions were forced to conduct all academic activities in distance learning formats, including the architecture program. This act barred interaction between students and supervisors only through their computers screen. Therefore, in this study, we explored an opportunity to utilize virtual reality (VR) technology to help students understand and evaluate design outcomes from an architectural design studio course in a virtual environment setting. The design evaluation process is focused on building affordance and user accessibility aspect based on the design objectives that students must achieve. As a result, we developed a game-engine based VR system called VRDR for evaluating design studio outcomes modeled as Building Information Modeling (BIM) models.
keywords	virtual reality; building information modeling; building affordance; user accessibility; architectural education
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ijac202119101
id	ijac202119101
authors	Budig, Michael; Oliver Heckmann, Markus, Hudert, Amanda Qi Boon Ng, Zack Xuereb Conti, and Clement Jun Hao Lork
year	2021
title	Computational screening-LCA tools for early design stages
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 1, 6–22
summary	Life Cycle Assessment (LCA) has been widely adopted to identify the Global Warming Potential (GWP) in the construction industry and determine its high environmental impact through Greenhouse Gas (GHG) emissions, energy and resource consumptions. The consideration of LCA in the early stages of design is becoming increasingly important as a means to avoid costly changes at later stages of the project. However, typical LCA-based tools demand very detailed information about structural and material systems and thus become too laborious for designers in the conceptual stages, where such specifications are still loosely defined. In response, this paper presents a workflow for LCA-based evaluation where the selection of the construction system and material is kept open to compare the impacts of alternative design variants. We achieve this through a strict division into support and infill systems and a simplified visualization of a schematic floor layout using a shoebox approach, inspired from the energy modelling domain. The shoeboxes in our case are repeatable modules within a schematic floor plan layout, whose enclosures are defined by parametric 2D surfaces representing total ratios of permanent supports versus infill components. Thus, the assembly of modular surface enclosures simplifies the LCA evaluation process by avoiding the need to accurately specify the physical properties of each building component across the floor plan. The presented workflow facilitates the selection of alternative structural systems and materials for their comparison, and outputs the Global Warming Potential (GWP) in the form of an intuitive visualization output. The workflow for simplified evaluation is illustrated through a case study that compares the GWP for selected combinations of material choice and construction systems.
keywords	Computational life cycle assessment tool, embodied carbon, parametric design, construction systems, global warming potential
series	journal
email
last changed	2021/06/03 23:29

_id	ijac202119203
id	ijac202119203
authors	Dounas, Theodoros; Davide Lombardi, Wassim Jabi
year	2021
title	Framework for decentralised architectural design BIM and Blockchain integration
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 2, 157–173
summary	The paper introduces a framework for decentralised architectural design in the context of the fourth industrial revolution. We examine first the constraints of building information modelling in regard to collaboration and trust. We then introduce Blockchain infrastructure as a means for creating new operational and business models for architectural design, through project governance, scaling collaboration nominally to thousands of agents, and shifting trust to the infrastructure rather than the architectural design team. Through a wider consideration of Blockchains in construction projects we focus on the design process and validate our framework with a prototype of BIM design optimisation integrated with a Blockchain mechanism. The paper concludes by outlining the contributions our framework can enhance in the building information modelling processes, within the context of the fourth industrial revolution.
keywords	Blockchain, Building Information Modelling, trust, design collaboration, governance, Integrated Project Delivery, incentives, Ethereum
series	journal
email
last changed	2024/04/17 14:29

_id	sigradi2021_176
id	sigradi2021_176
authors	Escaleira, Cláudia, Morais, António, Figueiredo, Bruno and Cruz, Paulo
year	2021
title	Reuse of Ceramic Roof Tiles: Enhancing New Functional Design Possibilities Through the Integration of Digital Tools for Simulation, Manufacture and Assembly
source	Gomez, P and Braida, F (eds.), Designing Possibilities - Proceedings of the XXV International Conference of the Ibero-American Society of Digital Graphics (SIGraDi 2021), Online, 8 - 12 November 2021, pp. 1475–1486
summary	The material qualities of ceramic roof tiles have provided new formal interpretations that induced a new functional use—a wall. By disassembling ceramic roof tiles from roofs and assembling them into walls, its circularity potential was enlarged. This paper explores the potential use of ceramic roof tiles, as a single element type, in the definition of wall design systems and patterns of composition that comply with design for manufacture, assembly and disassembly (DfMA-D) requirements, through the development of a shape grammar and implementation through parametric models. The new shape grammar extends the compositional patterns already produced and the redefinition of the connection systems by incorporating DfMA-D requirements into the shape grammar rules sets new combinatorial patterns aligned with European Union goals for building circularity. The parametric models automate the generation of design solutions and extend the design process to the assembly and disassembly stages using robotic fabrication techniques.
keywords	circular building, component reuse, computational design, ceramic roof tiles, robotics in architecture
series	SIGraDi
email
last changed	2022/05/23 12:11

_id	caadria2021_113
id	caadria2021_113
authors	Fink, Theresa, Vuckovic, Milena and Petkova, Asya
year	2021
title	KPI-Driven Parametric Design of Urban Systems
doi	https://doi.org/10.52842/conf.caadria.2021.2.579
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 579-588
summary	We present a framework for data-driven algorithmic generation and post-evaluation of alternative urban developments. These urban developments are framed by a strategic placement of diverse urban typologies whose spatial configurations follow design recommendations outlined in existing building and zoning regulations. By using specific rule-based generative algorithms, different spatial arrangements of these urban typologies, forming building blocks, are derived and visualized, given the aforementioned spatial, legal, and functional regulations. Once the envisioned urban configurations are generated, these are evaluated based on a number of aspects pertaining to spatial, economic, and thermal (environmental) dimensions, which are understood as the key performance indicators (KPIs) selected for informed ranking and evaluation. To facilitate the analysis and data-driven ranking of derived numeric KPIs, we deployed a diverse set of analytical techniques (e.g., conditional selection, regression models) enriched with visual interactive mechanisms, otherwise known as the Visual Analytics (VA) approach. The proposed approach has been tested on a case study district in the city of Vienna, Austria, offering real-world design solutions and assessments.
keywords	Urban design evaluation; parametric modelling; urban simulation; environmental performance; visual analytics
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ijac202119311
id	ijac202119311
authors	Kovacs, Adam Tamas; Micsik, Andras
year	2021
title	BIM quality control based on requirement linked data
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 3, 431–448
summary	This article discusses a BIM Quality Control Ecosystem that is based on Requirement Linked Data in order to create a framework where automated BIM compliance checking methods can be widely used. The meaning of requirements is analyzed in a building project context as a basis for data flow analysis: what are the main types of requirements, how they are handled, and what sources they originate from. A literature review has been conducted to find the present development directions in quality checking, besides a market research on present, already widely used solutions. With the conclusions of these research and modern data management theory, the principles of a holistic approach have been defined for quality checking in the Architecture, Engineering and Construction (AEC) industry. A comparative analysis has been made on current BIM compliance checking solutions according to our review principles. Based on current practice and ongoing research, a state-of-the-art BIM quality control ecosystem is proposed that is open, enables automation, promotes interoperability, and leaves the data governing responsibility at the sources of the requirements. In order to facilitate the flow of requirement and quality data, we propose a model for requirements as Linked Data and provide example for quality checking using Shapes Constraint Language (SHACL). As a result, an opportunity is given for better quality and cheaper BIM design methods to be implemented in the industry.
keywords	Compliance check, quality assurance, quality control, linked data, requirement, BIM
series	journal
email
last changed	2024/04/17 14:29

_id	sigradi2023_234
id	sigradi2023_234
authors	Santos, Ítalo, Andrade, Max, Zanchettin, Cleber and Rolim, Adriana
year	2023
title	Machine learning applied in the evaluation of airport projects in Brazil based on BIM models
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. 875–887
summary	In a country with continental dimensions like Brazil, air transport plays a strategic role in the development of the country. In recent years, initiatives have been promoted to boost the development of air transport, among which the BIM BR strategy stands out, instituted by decree n-9.983 (2019), decree n-10.306 (2020) and more recently, the publication of the airport design manual (SAC, 2021). In this context, this work presents partial results of a doctoral research based on the Design Science Research (DSR) method for the application of Machine Learning (ML) techniques in the Artificial Intelligence (AI) subarea, aiming to support SAC airport project analysts in the phase of project evaluation. Based on a set of training and test data corresponding to airport projects, two ML algorithms were trained. Preliminary results indicate that the use of ML algorithms enables a new scenario to be explored by teams of airport design analysts in Brazil.
keywords	Airports, Artificial intelligence, BIM, Evaluation, Machine learning.
series	SIGraDi
email
last changed	2024/03/08 14:07

_id	ascaad2021_115
id	ascaad2021_115
authors	Shams El-Din, Hend
year	2021
title	Using 3D digital technologies for the documentation and reconstruction of destroyed heritage buildings
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 581-591
summary	Egypt lacks documentation of many of its distinguished heritage treasures, such as artifacts, buildings, monuments and sites. As for the documented component, documents remain in library shelves without much access except for specialists. Much of this documentation has disappeared as a result of neglect, damage factors and various structural repercussions, or as a result of demolition. There is no doubt about the number of heritage buildings that were demolished for city planning purposes, especially in Cairo which possesses more than a third of the traces of the Islamic civilization; a transformationthat is demonstrated by comparing scholar descriptions of the French campaign to Egypt in 1798 and photos taken from the years 1899 to 1920 and beyond, leading to loss of valuable cultural heritage. Therefore, the preservation of this heritage, with the advancement in digital technologies has become one of the important priorities at the international level to confront these problems.Some of the approaches in this regard involve 3D information modeling using either photogrammetry and laser scanning, or 3D modeling and documentation using AutoCAD or 3DMax. This paper addresses the use of Building Information Modeling (BIM) technology in recording, documenting and imagining the reconstruction of heritage buildings, especially partially or completely destroyed heritage buildings, based on written descriptions, pictures or drawings, and the exploitation of technology in the application of virtual heritage, the reconstruction and composition of buildings, structures or artifacts virtually on the computer at fixed epochs. The aim of the paper is to provide a framework to preserve heritage at a lower cost than modern high cost methods, provide a library of its unique architectural elements, revive heritage documents of antiquities, as well as benefiting from their added value in maintenance and restoration operations, and offering data for further studies related to preservation of cultural heritage.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	ecaade2023_259
id	ecaade2023_259
authors	Sonne-Frederiksen, Povl Filip, Larsen, Niels Martin and Buthke, Jan
year	2023
title	Point Cloud Segmentation for Building Reuse - Construction of digital twins in early phase building reuse projects
doi	https://doi.org/10.52842/conf.ecaade.2023.2.327
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. 327–336
summary	Point cloud processing has come a long way in the past years. Advances in computer vision (CV) and machine learning (ML) have enabled its automated recognition and processing. However, few of those developments have made it through to the Architecture, Engineering and Construction (AEC) industry. Here, optimizing those workflows can reduce time spent on early-phase projects, which otherwise could be spent on developing innovative design solutions. Simplifying the processing of building point cloud scans makes it more accessible and therefore, usable for design, planning and decision-making. Furthermore, automated processing can also ensure that point clouds are processed consistently and accurately, reducing the potential for human error. This work is part of a larger effort to optimize early-phase design processes to promote the reuse of vacant buildings. It focuses on technical solutions to automate the reconstruction of point clouds into a digital twin as a simplified solid 3D element model. In this paper, various ML approaches, among others KPConv Thomas et al. (2019), ShapeConv Cao et al. (2021) and Mask-RCNN He et al. (2017), are compared in their ability to apply semantic as well as instance segmentation to point clouds. Further it relies on the S3DIS Armeni et al. (2017), NYU v2 Silberman et al. (2012) and Matterport Ramakrishnan et al. (2021) data sets for training. Here, the authors aim to establish a workflow that reduces the effort for users to process their point clouds and obtain object-based models. The findings of this research show that although pure point cloud-based ML models enable a greater degree of flexibility, they incur a high computational cost. We found, that using RGB-D images for classifications and segmentation simplifies the complexity of the ML model but leads to additional requirements for the data set. These can be mitigated in the initial process of capturing the building or by extracting the depth data from the point cloud.
keywords	Point Clouds, Machine Learning, Segmentation, Reuse, Digital Twins
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ascaad2021_103
id	ascaad2021_103
authors	Yönder, Veli
year	2021
title	Case Studies of Incorporating BIM Models in the Digital Game Environment: Building Game Environment with BIM Tools and Game Scripts
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 507-520
summary	The emerging video game industry has provided opportunities for innovation and transformation starting with the late 20th century. In line with ever-changing needs and increasing demand, the extent of the digital gaming industry has outreached to the education sector and its subdomains besides the entertainment industry and its sub-branches as users obtain ambidextrous achievements through the gamification processes in which an experimental learning environ-ment is formed naturally. Numerous dissimilar disciplines from en-gineering, architecture, construction, work safety, renewable ener-gy, education, and health, etc. train users thru educational simula-tions prepared in digital environments to amplify their learning processes. Undoubtedly, the fields of architecture, engineering, and construction (AEC) are gradually adapting to the conditions of ac-celerating digitalization efforts in this era. Thus, BIM technology being one of the common denominators of the digitalization efforts in those fields serves the diverse agenda of the users with increas-ing popularity. Professional interaction and education may greatly benefit from conjoining the model outputs of BIM technology and interactive visual fidelity of the digital gaming industry. This ongo-ing research project aims to develop and compare two different BIM-based models of the historic Çardak Khan and the contempo-rary student center building by creating sophisticated digital game environments with architectural educational space-based informa-tive scenarios. Space-based virtual cards were created for each sce-ne. Research results in response to the diversity of spaces, geomet-ric qualities, number of scenarios and sequences were reported. Fur-thermore, textual data such as game scripts and drafts were ana-lysed with Voyant Tools.
series	ASCAAD
email
last changed	2021/08/09 13:13

_id	ascaad2021_008
id	ascaad2021_008
authors	Alabbasi, Mohammad; Han-Mei Chen, Asterios Agkathidis
year	2021
title	Assessing the Effectivity of Additive Manufacturing Techniques for the Production of Building Components: Implementing Innovation for Housing Construction in Saudi Arabia
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 214-226
summary	This paper examines the suitability of existing robotic technologies and large-scale 3D printing techniques for the fabrication of three-dimensional printed building components to be applied in the Saudi housing construction industry. The paper assesses a series of cases based on the applications for 3D-printing cement-based materials in construction. In particular, we investigate five different additive manufacturing techniques and evaluate their performance in terms of their flexibility/mechanism, control/navigation, calibration/operation system, fabrication suitability (in-situ or off-site), size of printed components, printing speed. The findings include in a matrix chart, where the advantages and disadvantages of each technique become evident. The paper further evaluates the suitability of each technique in relation to the particular climatical and socio-political context of Saudi Arabia, applicable to other construction industries with similar conditions.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	ascaad2021_007
id	ascaad2021_007
authors	Alabbasi, Mohammad; Han-Mei Chen, Asterios Agkathidis
year	2021
title	Developing a Design Framework for the 3D Printing Production of Concrete Building Components: A Case Study on Column Optimization for Efficient Housing Solutions in Saudi Arabia
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 713-726
summary	This paper is examining the development of a design and fabrication framework aiming to increase the efficiency of the construction of concrete building components by introducing 3D concrete printing in the context of Saudi Arabia. In particular, we will present an algorithmic process focusing on the design and fabrication of a typical, mass customised, single-family house, which incorporates parametric modelling, topology optimisation, finite element (FE) analysis and robotic 3D printing techniques. We will test and verify our framework by designing and fabricating a loadbearing concrete column with structural and material properties defined by the Saudi Building Code of Construction. Our findings are highlighting the advantages and challenges of the proposed file-to-factory framework in comparison to the conventional construction methods currently applied in Saudi Arabia, or other similar sociopolitical contexts. By comparing the material usage in both conventional and optimised columns, the results have shown that material consumption has been reduced by 25%, the required labour in the construction site has been mitigated by 28 and the duration time has been reduced by 80% without the need for formwork.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	ascaad2021_021
id	ascaad2021_021
authors	Albassel, Mohamed; Mustafa Waly
year	2021
title	Applying Machine Learning to Enhance the Implementation of Egyptian Fire and Life Safety Code in Mega Projects
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 7-22
summary	Machine Learning has become a significant research area in architecture; it can be used to retrieve valuable information for available data used to predict future instances. the purpose of this research was to develop an automated workflow to enhance the implementation of The Egyptian fire & life safety (FLS) code in mega projects and reduce the time wasted on the traditional process of rooms’ uses, occupant load, and egress capacity calculations to increase productivity by applying Supervised Machine Learning based on classification techniques through data mining and building datasets from previous projects, and explore the methods of preparation and analyzing data (text cleanup- tokenization- filtering- stemming-labeling). Then, provide an algorithm for classification rules using C# and python in integration with BIM tools such as Revit-Dynamo to calculate cumulative occupant load based on factors which are mentioned in the Egyptian FLS code, determine classification and uses of rooms to validate all data related to FLS. Moreover, calculating the egress capacity of means of egress for not only exit doors but also exit stairs. In addition, the research is to identify a clear understanding about ML and BIM through project case studies and how to build a model with the needed accuracy.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	ascaad2021_004
id	ascaad2021_004
authors	Ali, Nouran; Samir Hosny, Ahmed Abdin
year	2021
title	Thermal Performance of Nanomaterials of a Medium Size Office Building Envelope: With a Special Reference to Hot Arid Climatic Zone of Egypt
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 385-396
summary	Global warming is becoming a huge threat in the 21st century. The building is the main contributor to energy consumption and greenhouse gas emissions which play an important role in global warming. Using new technologies provides a step towards a better-built environment. Nanotechnology is an emerging technology that provides innovative materials that integrate with the building envelope to enhance energy efficiency and decrease energy consumption in buildings. Many Nano products are a promising candidate for building thermal insulation and increasing the building’s efficiency. This paper aims to reach minimum energy consumption by investigating Nanomaterials thermal performance on a building’s envelope in a hot arid climate. An office building in Cairo, Egypt is chosen as a case study. The paper presents an empirical/applied inquiry that is based on a computer simulation using Design Builder software. Energy consumption is calculated for different cases; the base model of the office building without using nanomaterials, and several nano models using nanomaterials. The results indicate that the use of Nanomaterials can enhance the thermal performance of the office building and save about 13.44 % of the annual energy consumption of the building.
series	ASCAAD
email
last changed	2021/08/09 13:11

_id	ecaade2021_263
id	ecaade2021_263
authors	Azadi, Shervin and Nourian, Pirouz
year	2021
title	GoDesign - A modular generative design framework for mass-customization and optimization in architectural design
doi	https://doi.org/10.52842/conf.ecaade.2021.1.285
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 1, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 285-294
summary	We present a modular generative design framework for design processes in the built environment that provides for the unification of participatory design and optimization to achieve mass-customization and evidence-based design. The paper articulates this framework mathematically as three meta procedures framing the typical design problems as multi-dimensional, multi-criteria, multi-actor, and multi-value decision-making problems: 1) space-planning, 2) configuring, and 3) shaping; structured as to the abstraction hierarchy of the chain of decisions in design processes. These formulations allow for applying various problem-solving approaches ranging from mathematical derivation & artificial intelligence to gamified play & score mechanisms and grammatical exploration. The paper presents a general schema of the framework; elaborates on the mathematical formulation of its meta procedures; presents a spectrum of approaches for navigating solution spaces; discusses the specifics of spatial simulations for ex-ante evaluation of design alternatives. The ultimate contribution of this paper is laying the foundation of comprehensive Spatial Decision Support Systems (SDSS) for built environment design processes.
keywords	Generative Design; Spatial Configuration; Serious Gaming; Mass Customization; Decision Problems
series	eCAADe
email
last changed	2022/06/07 07:54

_id	caadria2021_291
id	caadria2021_291
authors	Bansal, Medha and Erdine, Elif
year	2021
title	Bio-Mineralisation And In-Situ Fabrication Of In-Dune Spaces: Case Study Of Thar Desert
doi	https://doi.org/10.52842/conf.caadria.2021.1.493
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 1, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 493-502
summary	Desertification has made large productive landscapes in the South-west Thar desert redundant, subjected people to migration and induced a constant influx of sand into the region (Singhvi and Amal, 2014). The abundance of sand creates an opportunity to adopt an existing technique, Bio-mineralisation, to develop a sand based composite material which, when treated with a construction binder like sodium alginate, can be used for engineering purposes. The paper sets a theoretical framework to develop a fabrication mechanism with microbial-grout injections and propose the development of in-dune/underground assembly of habitable spaces. Each of the sub-components of material system, fabrication mechanism and In-dune structures are detailed, and evaluated to devise a hierarchy between them. Their interdependencies together inform design strategies, a phasing plan and global time scale for overall terrain transformation.
keywords	Bio-mineralisation; Bio-grouting; In-dune fabrication; Tool path algorithms; Micro-climate analysis
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ascaad2021_022
id	ascaad2021_022
authors	Baºarir, Lale; Kutluhan Erol
year	2021
title	Briefing AI: From Architectural Design Brief Texts to Architectural Design Sketches
source	Abdelmohsen, S, El-Khouly, T, Mallasi, Z and Bennadji, A (eds.), Architecture in the Age of Disruptive Technologies: Transformations and Challenges [9th ASCAAD Conference Proceedings ISBN 978-1-907349-20-1] Cairo (Egypt) [Virtual Conference] 2-4 March 2021, pp. 23-31
summary	The main focus of this research is to uncover the underlying intuitive knowledge of architecture with the help of machine learning models. To achieve this, a generic architectural design process is considered and divided into iterative portions based on their output for each phase. This study looks into the initial portion of the architectural design process called “Briefing”. The authors search for the intuition that exists within the design process and how it can be learned by artificial intelligence (AI) that is currently gained through master-apprentice relationship and experience that builds up this knowledge. In this study, a way to enable users to attain an architectural design sketch while defining an architectural design problem with text is explored. This on-going research decomposes the components of the briefing and preliminary design sketching processes. Therefore the domain knowledge at each phase is considered for translating to constraints via natural language processing (NLP) and machine learning (ML) models such as Generative Adversarial Networks (GANs).
series	ASCAAD
type	normal paper
email
last changed	2021/08/09 13:11

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