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	ascaad2010_039
id	ascaad2010_039
authors	Almusharaf, Ayman M.; Mahjoub Elnimeiri
year	2010
title	A Performance-Based Design Approach for Early Tall Building Form Development
source	CAAD - Cities - Sustainability [5th International Conference Proceedings of the Arab Society for Computer Aided Architectural Design (ASCAAD 2010 / ISBN 978-1-907349-02-7], Fez (Morocco), 19-21 October 2010, pp. 39-50
summary	This paper presents a methodological interactive design approach within which structure is integrated into tall building form development. The approach establishes a synergy between generative and analytical tools to allow for parallel interaction of the formal and structural design considerations during the conceptual design phase. An integration of the associative modeling system, Grasshopper, and the structural analysis tool, ETABS was established, and a bi-directional feedback link between the two tools was initiated to guide the iterative from generation process. A design scenario is presented in this paper to demonstrate how the parametric generation and alteration of architectural form can be carried out based on instant feedback on the structural performance. Utilizing such a tool, architects can not only develop improved understanding of structural needs, but also realize their formal ideas structurally and materially.
series	ASCAAD
email
last changed	2011/03/01 07:36

_id	ecaadesigradi2019_290
id	ecaadesigradi2019_290
authors	Assem, Ayman, Abdelmohsen, Sherif and Ezzeldin, Mohamed
year	2019
title	A Fuzzy-Based Approach for Evaluating Existing Spatial Layout Configurations
doi	https://doi.org/10.52842/conf.ecaade.2019.2.035
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 35-44
summary	This paper proposes a fuzzy-based approach for the automated evaluation of spatial layout configurations. Our objective is to evaluate soft and interdependent design qualities (such as connectedness, enclosure, spaciousness, continuity, adjacency, etc.), to satisfy multiple and mutually inclusive criteria, and to account for all potential and logical solutions without discarding preferable, likely or even less likely possible solutions. Using fuzzyTECH, a fuzzy logic software development tool, we devise all possible spatial relation inputs affecting physical and non-physical outputs for a given space using descriptive rule blocks. We implement this fuzzy logic system on an existing residential space to evaluate different layout alternatives. We define all linguistic input variables, output variables, and fuzzy sets, and present space-space relations using membership functions. We use the resulting database of fuzzy agents to evaluate the design of the existing residential spaces.
keywords	Fuzzy logic; Space layout planning; Heuristic methods
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	ascaad2022_096
id	ascaad2022_096
authors	Assem, Ayman; Safwat, Merna
year	2022
title	Computational Design Approach for Applying Neuro-Architecture Principles in Healthcare Facilities
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 331-347
summary	Neuroscience tools’ advancements have paved the way for neuroscience and architecture collaboration, spawning "Neuro-architecture." Neuro-architecture studies in various settings have been tentatively translated into design principles to improve the mood, perception, and satisfaction of healthcare facility users, as well as patient wellbeing and recovery rates. Integrating such principles into computational design methodologies should benefit users’ mental health and reduce the gap between computational design and human mental needs. The research was conducted in two phases: in the first phase, typologies used in evidence-based design research (EBD) were applied in order to determine neuro-architecture design principles for the interior environment of healthcare facilities. In the second phase, the research employed space syntax analysis to evaluate the incorporation of neuro-architecture principles into healthcare facility interiors. The method visualises and evaluates spatial qualities that reflect the application of planning and navigation neuro-interior principles for the inpatient ward of a healthcare facility.
series	ASCAAD
email
last changed	2024/02/16 13:38

_id	ecaade2016_007
id	ecaade2016_007
authors	ElGhazi, Yomna Saad and Mahmoud, Ayman Hassaan Ahmed
year	2016
title	Origami Explorations - A Generative Parametric Technique For kinetic cellular façade to optimize Daylight Performance
doi	https://doi.org/10.52842/conf.ecaade.2016.2.399
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 399-408
summary	At present the kinetics is basic, but there is no doubt that research into the field of responsive building facades will continue, to find more sophisticated design and technical solutions. This research explores the possibilities of kinetic composition afforded by Origami different techniques using squared module. Origami and paper pleating techniques are one of the conceptual design approaches from which Kinetics can be developed. The paper examines the possibilities of different arrangements of folded modules to create environmental efficient kinetic morphed skins. The paper aims to achieve different Kinetic origami-based shading screens categorized by series of parameters to provide appropriate daylighting. The main tested parameters are the form of Origami folds, the module size and motion scenarios. Ten origami cases where explored first using conceptual folded paper maquette modules, then parametrically modelled and simulated at four times of the year, 21st of March, June, September and December, taken every hour of the working day.
wos	WOS:000402064400039
keywords	Kinetic cellular façade; Origami; Parametric modelling; Parametric simulations; Daylighting performance.
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ascaad2023_034
id	ascaad2023_034
authors	Kamal, Maria; Hosny, Samir; Assem, Ayman; Fathy, Fatma
year	2023
title	Computational Optimization of Architectural Space Planning
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. 732-749.
summary	Automated space layout planning has been a long-standing problem in the field of computer-aided design. The challenge lies in generating an optimal space design that has a well-defined vision and a multitude of competing objectives and evaluation measures. Computational approaches assisted designers in exploring design solutions and fulfilling some non-geometric goals more effectively and efficiently. However, quantifying spatial qualities for computational representations is challenging, especially where a multitude of interrelated objectives are needed to be met, such as wayfinding, maximizing views to outside, maximizing visibility, and minimizing travel, alongside the functional relations of the spaces with each other. Moreover, there could be a change in these intended objectives, which requires space design adaptation. Thus, there is a need for more flexible, fast, and automated design tools to be used in the design process. This paper presents a framework to generate optimal architectural space planning solutions through an interactive design system that takes geometrical, topological, and performance goals and design constraints as input. This system is based on data structure representations combined with evaluation and optimization algorithms and a parametric representation. Through a theoretical and analytical inductive study of the previous research in this field, defined steps for a computational approach for space planning optimization was proposed by presenting architect-friendly tools and graphics to simplify producing realistic optimal solutions for the required space planning problems.
series	ASCAAD
email
last changed	2024/02/13 14:34

_id	ascaad2022_105
id	ascaad2022_105
authors	Morsi, Nihal; Kamel, Shaimaa; Sabry, Hanan; Assem, Ayman
year	2022
title	Computational Design for Architectural Space Planning of Commercial Exhibitions: A Framework for Visitors Interaction using Parametric Design and Agent-based Modeling
source	Hybrid Spaces of the Metaverse - Architecture in the Age of the Metaverse: Opportunities and Potentials [10th ASCAAD Conference Proceedings] Debbieh (Lebanon) [Virtual Conference] 12-13 October 2022, pp. 361-376
summary	Using computational tools for evaluating spatial layouts of commercial exhibitions provides an opportunity for assessment of performance before execution. However, most evaluation techniques take into consideration only the physical qualities of the built environment, excluding important factors such as crowds. Crowds are essentially dynamic obstacles that hinder visibility and can induce flight response, but they are also a sign of good exposure when in reasonable amounts. This is mostly due to the challenge of quantifying spatial qualities such as users’ interaction and movement for computational representations. This paper proposes a framework using agent-based modeling for simulating user interaction in commercial exhibition spaces combined with a parametric representation of the built environment. The framework is then evaluated by applying it to a case-study of three layout scenarios in a generic exhibition hall. The simulation results show that layouts with vertical aisles, and less horizontal aisles have better footfall distribution.
series	ASCAAD
email
last changed	2024/02/16 13:38

_id	ascaad2023_125
id	ascaad2023_125
authors	Shata, Dina; Omrani, Sara; Drogemuller, Robin; Denman, Simon; Wagdy, Ayman
year	2023
title	Segmented Rooftop Dataset Generation: A Simplified Approach for Harnessing Solar Power Potential Using Aerial Imagery and Point Cloud Data
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. 134-153.
summary	With rising global energy demands and climate change concerns, solar energy has gained traction as a sustainable source. However, optimal utilization of solar systems relies on accurately determining rooftop solar potential. This research presents a simplified methodology to generate a comprehensive dataset of segmented rooftops using publicly available aerial imagery and light detection and ranging (LiDAR) point cloud data. The primary objective is to enable precise prediction of solar photovoltaic (PV) capacity on residential rooftops by extracting key geometric features. The proposed approach first preprocesses raw LiDAR data to isolate building points and generates 3D mesh models of rooftops. A mesh analysis technique computes surface normal and tilt angles, stored as RGB images. Masks derived from the 3D meshes are combined with high-resolution aerial photos to extract cropped rooftop image segments. This overcomes the limitations of manually labelling imagery or relying on scarce 3D city models. The resulting dataset provides critical training and validation inputs for developing machine learning models to assess rooftop solar potential. An initial sample dataset of over 1100 residential rooftops in Brisbane, Australia was created to demonstrate the methodology's effectiveness. The workflow is structured, scalable and replicable, facilitating expansion across larger regions to generate big datasets encompassing diverse rooftop configurations. Overall, this research presents an efficient automated solution to harness essential dataset for training Deep Learning models. It holds significant potential to drive solar PV prediction, enabling the optimization of renewable energy systems and progressing sustainability goals.
series	ASCAAD
email
last changed	2024/02/13 14:41

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