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	06e1
authors	Keul, Alexander
year	1996
title	LOST IN SPACE? ARCHITECTURAL PSYCHOLOGY - PAST, PRESENT, FUTURE
source	Full-Scale Modeling in the Age of Virtual Reality [6th EFA-Conference Proceedings]
summary	A methodological review by Kaminski (1995) summed up five perspectives in environmental psychology - patterns of spatial distribution, everyday “jigsaw puzzles”, functional everyday action systems, sociocultural change and evolution of competence. Architectural psychology (named so at the Strathclyde conference 1969; Canter, 1973) as psychology of built environments is one leg of environmental psychology, the second one being psychology of environmental protection. Architectural psychology has come of age and passed its 25th birthday. Thus, a triangulation of its position, especially in Central Europe, seems interesting and necessary. A recent survey mainly on university projects in German-speaking countries (Kruse & Trimpin, 1995) found a marked decrease of studies in psychology of built environments. 1994, 25% of all projects were reported in this category, which in 1975 had made up 40% (Kruse, 1975). Guenther, in an unpublished survey of BDP (association of professional German psychologists) members, encountered only a handful active in architectural psychology - mostly part-time, not full-time. 1996, Austria has two full-time university specialists. The discrepancy between the general interest displayed by planners and a still low institutionalization is noticeable. How is the research situation? Using several standard research data banks, the author collected articles and book(chapter)s on architectural psychology in German- and English-language countries from 1990 to 1996. Studies on main architecture-psychology interface problems such as user needs, housing quality evaluations, participatory planning and spatial simulation / virtual reality did not outline an “old, settled” discipline, but rather the sketchy, random surface of a field “always starting anew”. E.g., discussions at the 1995 EAEA-Conference showed that several architectural simulation studies since 1973 caused no major impact on planner's opinions (Keul&Martens, 1996). “Re-inventions of the wheel” are caused by a lack of meetings (except this one!) and of interdisciplinary infrastructure in German-language countries (contrary to Sweden or the United States). Social pressures building up on architecture nowadays by inter-European competition, budget cuts and citizen activities for informed consent in most urban projects are a new challenge for planners to cooperate efficiently with social scientists. At Salzburg, the author currently manages the Corporate Design-process for the Chamber of Architecture, Division for Upper Austria and Salzburg. A “working group for architectural psychology” (Keul-Martens-Maderthaner) has been active since 1994.
keywords	Model Simulation, Real Environments
series	EAEA
type	normal paper
email
more	http://info.tuwien.ac.at/efa/
last changed	2005/09/09 10:43

_id	88d7
authors	Kulcke, Richard
year	1995
title	CAAD in the Architectural Education of the Fachhochschulen in Germany
source	CAD Space [Proceedings of the III International Conference Computer in Architectural Design] Bialystock 27-29 April 1995, pp. 7-13
summary	Like the most teachers of Computer Aided Architectural Design at the Fachhochschulen I am an architect not a computer specialist. I studied architecture in the sixties at the universities of Stuttgart and Berlin, In 1973 I became a lecturer at the Fachhochschule Nordostniedersachsen. My subjects are building economics, urban planning and computer aided architectural design (CAAD). My report wants to show what is going on at the Fachhochschulen. This report is based on the paper presented at the eCAADe conference 1989 in Aarhus, Denmark
series	plCAD
last changed	2000/01/24 10:08

_id	bcf7
authors	Arvin, Scott A. and House, Donald H.
year	2002
title	Modeling architectural design objectives in physically based space planning
source	Automation in Construction 11 (2) (2002) pp. 213-225
summary	Physically based space planning is a means for automating the conceptual design process by applying the physics of motion to space plan elements. This methodology provides for a responsive design process, which allows a designer to easily make decisions whose consequences immediately propagate throughout the design. It combines the speed of automated design methods with the flexibility of manual design methods, while adding a highly interactive quality and a sense of collaboration with the design itself. In our approach, the designer creates a space plan by specifying and modifying graphic design objectives rather than by directly manipulating primitive geometry. The plan adapts to the changing state of objectives by applying the physics of motion to its elements. For design objectives to affect a physically based space plan, they need to apply appropriate forces to space plan elements. Space planning can be separated into two problems, determining topological properties and determining geometric properties. Design objectives can then be categorized as topological or geometric objectives. Topological objectives influence the location of individual spaces, affecting how one space relates to another. Geometric objectives influence the size and shape of space boundaries, affecting the dimensions of individual walls. This paper focuses on how to model a variety of design objectives for use in a physically based space planning system. We describe how topological objectives, such as adjacency and orientation can be modeled to apply forces to space locations, and how geometric objectives, such as area, proportion, and alignment, can be modeled to apply forces to boundary edges.
series	journal paper
email
more	http://www.elsevier.com/locate/autcon
last changed	2003/05/15 21:22

_id	d423
authors	Arvin, Scott A. and House, Donald H.
year	1999
title	Making Designs Come Alive: Using Physically Based Modeling Techniques in Space Layout Planning
source	Proceedings of the Eighth International Conference on Computer Aided Architectural Design Futures [ISBN 0-7923-8536-5] Atlanta, 7-8 June 1999, pp. 245-262
summary	This paper introduces the concept of responsive design. It elaborates this concept as an approach to free form, adaptable, automated design applying physically based modeling techniques to the design process. Our approach attempts to bridge the gap between totally automated design and the free form brainstorming designers normally employ. We do this by automating the initial placement and sizing of design elements, with an interactive engine that appears alive and highly responsive. We present a method for applying these techniques to architectural space layout planning, and preliminary implementation details for a prototype system for developing rectangular, two-dimensional, single- story floor plans.
keywords	Physically Based Space Layout, Physically Based Design, Responsive Design, Space Layout Planning, Computer-aided Design, Human-computer Interaction
series	CAAD Futures
email
last changed	2006/11/07 07:22

_id	f317
authors	Arvin, Scott A. and House, Donald H.
year	1999
title	Modeling Architectural Design Objectives in Physically Based Space Planning
doi	https://doi.org/10.52842/conf.acadia.1999.212
source	Media and Design Process [ACADIA ‘99 / ISBN 1-880250-08-X] Salt Lake City 29-31 October 1999, pp. 212-225
summary	Physically based space planning is a means for automating the conceptual design process by applying the physics of motion to space plan elements. This methodology provides for a responsive design process, which allows a designer to easily make decisions whose consequences immediately propagate throughout the design. It combines the speed of automated design methods with the flexibility of manual design methods, while adding a highly interactive quality and a sense of collaboration with the design itself. In our approach, the designer creates a space plan by specifying and modifying graphic design objectives rather than by directly manipulating primitive geometry. The plan adapts to the changing state of objectives by applying the physics of motion to its elements. For design objectives to have an effect on a physically based space plan, they need to be able to apply appropriate forces to space plan elements. Space planning can be separated into two problems, determining topological properties and determining geometric properties. Design objectives can then be categorized as topological or geometric objectives. Topological objectives influence the location of individual spaces, affecting how one space relates to another. Geometric objectives influence the size and shape of space boundaries, affecting the dimensions of individual walls. This paper focuses on how to model a variety of design objectives for use in a physically based space planning system. We describe how topological objectives, such as adjacency and orientation, can be modeled to apply forces to space locations, and how geometric objectives, such as area, proportion, and alignment, can be modeled to apply forces to boundary edges.
series	ACADIA
email
last changed	2022/06/07 07:54

_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	1f5c
authors	Beesley, Philip and Seebohm, Thomas
year	2000
title	Digital Tectonic Design
doi	https://doi.org/10.52842/conf.ecaade.2000.287
source	Promise and Reality: State of the Art versus State of Practice in Computing for the Design and Planning Process [18th eCAADe Conference Proceedings / ISBN 0-9523687-6-5] Weimar (Germany) 22-24 June 2000, pp. 287-290
summary	Digital tectonic design is a fresh approach to architectural design methodology. Tectonics means a focus on assemblies of construction elements. Digital tectonics is an evolving methodology that integrates use of design software with traditional construction methods. We see digital tectonic design as a systematic use of geometric and spatial ordinances, used in combination with details and components directly related to contemporary construction. The current approach will, we hope, lead to an architectural curriculum based on generative form making where the computer can be used to produce systems of forms algorithmically. Digital design has tended to remain abstract, emphasizing visual and spatial arrangements often at the expense of materials and construction. Our pursuit is translation of these methods into more fully realized physical qualities. This method offers a rigorous approach based on close study of geometry and building construction elements. Giving a context for this approach, historical examples employing systematic tectonic design are explored in this paper. The underlying geometric ordinance systems and the highly tuned relationships between the details in these examples offer design vocabularies for use within the studio curriculum. The paper concludes with a detailed example from a recent studio project demonstrating particular qualities developed within the method. The method involves a wide range of scales, relating large-scale gestural and schematic studies to detailed assembly systems. Designing in this way means developing geometric strategies and, in parallel, producing detailed symbols or objects to be inserted. These details are assembled into a variety of arrays and groups. The approach is analogous to computer-aided designÕs tradition of shape grammars in which systems of spatial relationships are used to control the insertion of shapes within a space. Using this approach, a three-dimensional representation of a building is iteratively refined until the final result is an integrated, systematically organized complex of symbols representing physical building components. The resulting complex offers substantial material qualities. Strategies of symbol insertions and hierarchical grouping of elements are familiar in digital design practice. However these strategies are usually used for automated production of preconceived designs. In contrast to thsse normal approaches this presentation focuses on emergent qualities produced directly by means of the complex arrays of symbol insertions. The rhyth
keywords	3D CAD Systems, Design Practice, 3D Design Strategies
series	eCAADe
email
more	http://www.uni-weimar.de/ecaade/
last changed	2022/06/07 07:54

_id	acadia17_138
id	acadia17_138
authors	Berry, Jaclyn; Park, Kat
year	2017
title	A Passive System for Quantifying Indoor Space Utilization
doi	https://doi.org/10.52842/conf.acadia.2017.138
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 138-145
summary	This paper presents the development of a prototype for a new sensing device for anonymously evaluating space utilization, which includes usage factors such as occupancy levels, congregation and circulation patterns. This work builds on existing methods and technology for measuring building performance, human comfort and occupant experience in post-occupancy evaluations as well as pre-design strategic planning. The ability to collect data related to utilization and occupant experience has increased significantly due to the greater accessibility of sensor systems in recent years. As a result, designers are exploring new methods to empirically verify spatial properties that have traditionally been considered more qualitative in nature. With this premise, this study challenges current strategies that rely heavily on manual data collection and survey reports. The proposed sensing device is designed to supplement the traditional manual method with a new layer of automated, unbiased data that is capable of capturing environmental and social qualities of a given space. In a controlled experiment, the authors found that the data collected from the sensing device can be extrapolated to show how layout, spatial interventions or other design factors affect circulation, congregation, productivity, and occupancy in an office setting. In the future, this sensing device could provide designers with real-time feedback about how their designs influence occupants’ experiences, and thus allow the designers to base what are currently intuition-based decisions on reliable data and evidence.
keywords	design methods; information processing; smart buildings; IoT
series	ACADIA
email
last changed	2022/06/07 07:52

_id	ijac202119312
id	ijac202119312
authors	Chen, Chen; Chacón Vega, Ricardo Jose; Kong, Tiong Lee
year	2021
title	Using genetic algorithm to automate the generation of an open-plan office layout
source	International Journal of Architectural Computing 2021, Vol. 19 - no. 3, 449–465
summary	Today, the concept of open plan is more and more widely accepted that many companies have switched to open-plan offices. Their design is an issue in the scope of space layout planning. Although there are many professional architectural layout design software in the market, in the real life, office designers seldom use these tools because their license fees are usually expensive and using them to solve an open-plan office design is like using an overly powerful and expensive tool to fix a minor problem. Therefore, manual drafting through a trial and error process is most often used. This article attempts to propose a lightweight tool to automate open-plan office layout generation using a nested genetic algorithm optimization with two layers, where the inner layer algorithm is embedded in the outer one. The result is enhanced by a local search. The main objective is to maximize space utilization by maximizing the size of the open workspace. This approach is different from its precedents, in that the location search is conducted on a grid map rather than several pre-selected candidate locations. Consequently, the generated layout design presents a less rigid workstation arrangement, inviting a casual and unrestrictive work environment. The real potential of the approach is reflected in the productivity of test fits. Automating and simplifying the generation of layouts for test fits can tremendously decrease the amount of time and resources required to generate them. The experimental case study shows that the developed approach is powerful and effective, making it a totally automated process.
keywords	Automated process, office design, genetic algorithm, open-plan office, space layout planning
series	journal
email
last changed	2024/04/17 14:29

_id	acadia16_106
id	acadia16_106
authors	Das, Subhajit; Day, Colin; Hauck, John; Haymaker, John; Davis, Diana
year	2016
title	Space Plan Generator: Rapid Generationn & Evaluation of Floor Plan Design Options to Inform Decision Making
doi	https://doi.org/10.52842/conf.acadia.2016.106
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp. 106-115
summary	Design exploration in architectural space planning is often constrained by tight deadlines and a need to apply necessary expertise at the right time. We hypothesize that a system that can computationally generate vast numbers of design options, respect project constraints, and analyze for client goals, can assist the design team and client to make better decisions. This paper explains a research venture built from insights into space planning from senior planners, architects, and experts in the field, coupled with algorithms for evolutionary systems and computational geometry, to develop an automated computational framework that enables rapid generation and analysis of space plan layouts. The system described below automatically generates hundreds of design options from inputs typically provided by an architect, including a site outline and program document with desired spaces, areas, quantities, and adjacencies to be satisfied. We envision that this workflow can clarify project goals early in the design process, save time, enable better resource allocation, and assist key stakeholders to make informed decisions and deliver better designs. Further, the system is tested on a case study healthcare design project with set goals and objectives.
keywords	healthcare spaces, facility layout design, design optimization, decision making, binary data tree structure, generative design, automated space plans
series	ACADIA
type	paper
email
last changed	2022/06/07 07:55

_id	caadria2022_145
id	caadria2022_145
authors	Duering, Serjoscha, Fink, Theresa, Chronis, Angelos and Konig, Reinhard
year	2022
title	Environmental Performance Assessment - The Optimisation of High-Rises in Vienna
doi	https://doi.org/10.52842/conf.caadria.2022.1.545
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 545-554
summary	Our cities are facing different kinds of challenges - in parallel to the urban transformation and densification, climate targets and objectives of decision-makers are on the daily agenda of planning. Therefore, the planning of new neighbourhoods and buildings in high-density areas is complex in many ways. It requires intelligent processes that automate specific aspects of planning and thus enable impact-oriented planning in the early phases. The impacts on environment, economy and society have to be considered for a sustainable planning result in order to make responsible decisions. The objective of this paper is to explore pathways towards a framework for the environmental performance assessment and the optimisation of high-rise buildings with a particular focus on processing large amounts of data in order to derive actionable insights. A development area in the urban centre of Vienna serves as case study to exemplify the potential of automated model generation and applying ML algorithm to accelerate simulation time and extend the design space of possible solutions. As a result, the generated designs are screened on the basis of their performance using a Design Space Exploration approach. The potential for optimisation is evaluated in terms of their environmental impact on the immediate environment.
keywords	simulation, prediction and evaluation, machine learning, computational modelling, digital design, high-rises, SGD 11, SDG 13
series	CAADRIA
email
last changed	2022/07/22 07:34

_id	349e
authors	Durmisevic, Sanja
year	2002
title	Perception Aspects in Underground Spaces using Intelligent Knowledge Modeling
source	Delft University of Technology
summary	The intensification, combination and transformation are main strategies for future spatial development of the Netherlands, which are stated in the Fifth Bill regarding Spatial Planning. These strategies indicate that in the future, space should be utilized in a more compact and more efficient way requiring, at the same time, re-evaluation of the existing built environment and finding ways to improve it. In this context, the concept of multiple space usage is accentuated, which would focus on intensive 4-dimensional spatial exploration. The underground space is acknowledged as an important part of multiple space usage. In the document 'Spatial Exploration 2000', the underground space is recognized by policy makers as an important new 'frontier' that could provide significant contribution to future spatial requirements.In a relatively short period, the underground space became an important research area. Although among specialists there is appreciation of what underground space could provide for densely populated urban areas, there are still reserved feelings by the public, which mostly relate to the poor quality of these spaces. Many realized underground projects, namely subways, resulted in poor user satisfaction. Today, there is still a significant knowledge gap related to perception of underground space. There is also a lack of detailed documentation on actual applications of the theories, followed by research results and applied techniques. This is the case in different areas of architectural design, but for underground spaces perhaps most evident due to their infancv role in general architectural practice. In order to create better designs, diverse aspects, which are very often of qualitative nature, should be considered in perspective with the final goal to improve quality and image of underground space. In the architectural design process, one has to establish certain relations among design information in advance, to make design backed by sound rationale. The main difficulty at this point is that such relationships may not be determined due to various reasons. One example may be the vagueness of the architectural design data due to linguistic qualities in them. Another, may be vaguely defined design qualities. In this work, the problem was not only the initial fuzziness of the information but also the desired relevancy determination among all pieces of information given. Presently, to determine the existence of such relevancy is more or less a matter of architectural subjective judgement rather than systematic, non-subjective decision-making based on an existing design. This implies that the invocation of certain tools dealing with fuzzy information is essential for enhanced design decisions. Efficient methods and tools to deal with qualitative, soft data are scarce, especially in the architectural domain. Traditionally well established methods, such as statistical analysis, have been used mainly for data analysis focused on similar types to the present research. These methods mainly fall into a category of pattern recognition. Statistical regression methods are the most common approaches towards this goal. One essential drawback of this method is the inability of dealing efficiently with non-linear data. With statistical analysis, the linear relationships are established by regression analysis where dealing with non-linearity is mostly evaded. Concerning the presence of multi-dimensional data sets, it is evident that the assumption of linear relationships among all pieces of information would be a gross approximation, which one has no basis to assume. A starting point in this research was that there maybe both linearity and non-linearity present in the data and therefore the appropriate methods should be used in order to deal with that non-linearity. Therefore, some other commensurate methods were adopted for knowledge modeling. In that respect, soft computing techniques proved to match the quality of the multi-dimensional data-set subject to analysis, which is deemed to be 'soft'. There is yet another reason why soft-computing techniques were applied, which is related to the automation of knowledge modeling. In this respect, traditional models such as Decision Support Systems and Expert Systems have drawbacks. One important drawback is that the development of these systems is a time-consuming process. The programming part, in which various deliberations are required to form a consistent if-then rule knowledge based system, is also a time-consuming activity. For these reasons, the methods and tools from other disciplines, which also deal with soft data, should be integrated into architectural design. With fuzzy logic, the imprecision of data can be dealt with in a similar way to how humans do it. Artificial neural networks are deemed to some extent to model the human brain, and simulate its functions in the form of parallel information processing. They are considered important components of Artificial Intelligence (Al). With neural networks, it is possible to learn from examples, or more precisely to learn from input-output data samples. The combination of the neural and fuzzy approach proved to be a powerful combination for dealing with qualitative data. The problem of automated knowledge modeling is efficiently solved by employment of machine learning techniques. Here, the expertise of prof. dr. Ozer Ciftcioglu in the field of soft computing was crucial for tool development. By combining knowledge from two different disciplines a unique tool could be developed that would enable intelligent modeling of soft data needed for support of the building design process. In this respect, this research is a starting point in that direction. It is multidisciplinary and on the cutting edge between the field of Architecture and the field of Artificial Intelligence. From the architectural viewpoint, the perception of space is considered through relationship between a human being and a built environment. Techniques from the field of Artificial Intelligence are employed to model that relationship. Such an efficient combination of two disciplines makes it possible to extend our knowledge boundaries in the field of architecture and improve design quality. With additional techniques, meta know/edge, or in other words "knowledge about knowledge", can be created. Such techniques involve sensitivity analysis, which determines the amount of dependency of the output of a model (comfort and public safety) on the information fed into the model (input). Another technique is functional relationship modeling between aspects, which is derivation of dependency of a design parameter as a function of user's perceptions. With this technique, it is possible to determine functional relationships between dependent and independent variables. This thesis is a contribution to better understanding of users' perception of underground space, through the prism of public safety and comfort, which was achieved by means of intelligent knowledge modeling. In this respect, this thesis demonstrated an application of ICT (Information and Communication Technology) as a partner in the building design process by employing advanced modeling techniques. The method explained throughout this work is very generic and is possible to apply to not only different areas of architectural design, but also to other domains that involve qualitative data.
keywords	Underground Space; Perception; Soft Computing
series	thesis:PhD
email
last changed	2003/02/12 22:37

_id	2612
authors	Flemming, Ulrich
year	1978
title	Wall Representations of Rectangular Dissections and Their Use in Automated Space Allocation
source	Environment and Planning B. 1978. vol. 5: pp. 215-232 : ill. includes bibliography
summary	A procedure is described which generates dissections of rectangles into rectangular components in order to obtain solutions to space-allocation problems which are restricted through topological and dimensional constraints. Solutions are generated in two steps: step 1 determines basic geometric properties of the arrangements to be produced, and step 2 computes the dimensions of the spaces in such an arrangement. Both steps are based on `wall representations' of the solutions. These representations allow geometric relations and operations to be transformed into relations and operations defined on character strings. They furthermore allow the (possibly infinite) set of solutions to be systematically searched for a finite set of `principal options'. The importance linear-programming techniques for step 2 is described
keywords	space allocation, linear programming, representation, CAD, design,automation, layout, synthesis
series	CADline
email
last changed	2003/02/26 17:24

_id	sigradi2006_e171c
id	sigradi2006_e171c
authors	González Böhme, Luis Felipe and Vargas Cárdenas, Bernardo
year	2006
title	Foundations for a Constraint-Based Floor Plan Layout Support in Participatory Planning of Low-Income Housing
source	SIGraDi 2006 - [Proceedings of the 10th Iberoamerican Congress of Digital Graphics] Santiago de Chile - Chile 21-23 November 2006, pp. 283-287
summary	We introduce the foundations of a novel approach that deals with constraint-based design methods to supporting participatory planning processes of low-income dwellings. We examine the space allocation problem inside the architectural domain on the basis of graph theory and combinatorics, providing a concise mathematical background for an implementation strategy called FLS (Floor plan Layout Support), which is analyzed here for the first time regarding this particular context of application. The philosophy underlying a design method that is mainly driven by the formulation of distinct constraints suggests to avoid the traditional procedure of first to create a yet not necessarily valid instance of the eventual design solution by directly choosing specific parameter values of its shape, and later on to evaluate its validity by confronting the designed model to a set of applicable constraints. Instead, constraint-based design poses a search procedure that operates in a space of planning-relevant constraint sets. The FLS methodology integrates some few principles of constraint-based automated reasoning with high user interactivity, into a design environment where as much dwellers as planners can collaboratively work in solving spatial organization problems of housing projects. The FLS model of application makes use of a combination of dweller-specified constraints, planning and zoning regulations, and a small library of modular space units. Constraint-based design ! methods are particularly capable of supplying efficient support for the collaborative involvement of dwellers into the architectural programming process of her/his own home. Mainly, because dwellers themselves tend to describe their space need and design intentions as a set of constraints on room quantity, space utilization, circulation system, allocation of available furniture, available budget, construction time, and so forth. The goal is to achieve an integrated tool for finding and modelling topologically valid solutions for floor plan layout alternatives, by combining user-driven interactive procedures with automatic search and generative processes. Thus, several design alternatives can be explored in less time and with less effort than using mainstream procedures of architectural practice. A FLS implementation will constitute one system module of a larger integrated system model called Esther. A FLS tool shall interact with other functional modules, like e.g. the BDS (Building Bulk Design Support), which also uses constraint-based design methods. A preliminary procedural model for the FLS was tested on Chile’s official social housing standards (Chilean Building Code – OGUC. Art. 6.4.1) which are very similar to most Latin American housing programs currently in operation.
keywords	constraint-based design; floor plan layout; participatory planning; low-income housing; design theory; design proces
series	SIGRADI
email
last changed	2016/03/10 09:52

_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	8488
authors	Liggett, Robin S.
year	1992
title	A Designer-Automated Algorithm Partnership : An Interactive Graphic Approach to Facility Layout
source	New York: John Wiley & Sons, 1992. pp. 101-123 : ill. includes bibliography
summary	Automated solution technique for spatial allocation problems have long been an interest of researchers in computer-aided design. This paper describes research focusing on the use of an interactive graphic interface for the solution of facility layout problems which have quantifyable but sometimes competing criteria. The ideas presented in the paper have been implemented in a personal computer system
keywords	algorithms, user interface, layout, synthesis, floor plans, architecture, facilities planning, automation, space allocation, optimization
series	CADline
email
last changed	2003/06/02 13:58

_id	acadia20_248
id	acadia20_248
authors	Saha, Nirvik; Haymaker, John; Shelden, Dennis
year	2020
title	Space Allocation Techniques (SAT)
doi	https://doi.org/10.52842/conf.acadia.2020.1.248
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. 248-257.
summary	Architects and urban designers use space allocation to develop layouts constrained by project-specific attributes of spaces and relations between them. The space allocation problem (SAP) is a general class of computable problems that eluded automation due to combinatorial complexity and diversity of architectural forms. In this paper, we propose a solution to the space allocation problem using reinforcement learning (RL). In RL, an artificial agent interacts with a simulation of the design problem to learn the optimal spatial organization of a layout using a feedback mechanism based on project-specific constraints. Compared to supervised learning, where the scope of the design problem is restricted by the availability of prior samples, we developed a general approach using RL to address novel design problems, represented as SAP. We integrated the proposed solution to SAP with numerous geometry modules, collectively defined as the space allocation techniques (SAT). In this implementation, the optimization and generative modules are decoupled such that designers can connect the modules in various ways to generate layouts with desired geometric and topological attributes. The outcome of this research is a user-friendly, freely accessible Rhino Grasshopper (C#) plugin, namely, the Design Optimization Toolset or DOTs, a compilation of the proposed SAT. DOTs allows designers to interactively develop design alternatives that reconcile project-specific constraints with the geometric complexity of architectural forms. We describe how professional designers have applied DOTs in space planning, site parcellation, massing, and urban design problems that integrate with performance analysis to enable a holistic, semi-automated design exploration.
series	ACADIA
type	paper
email
last changed	2023/10/22 12:06

_id	acadia17_630
id	acadia17_630
authors	Vasanthakumar, Saeran; Saha, Nirvik; Haymaker, John; Shelden, Dennis
year	2017
title	Bibil: A Performance-Based Framework to Determine Built Form Guidelines
doi	https://doi.org/10.52842/conf.acadia.2017.630
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 630- 639
summary	City built-form guidelines act as durable constraints on building design decisions. Such guidelines directly impact energy, comfort and other performance conditions. Existing urban design and planning methods only consider a narrow range of potential design scenarios, with rudimentary performance criteria, resulting in suboptimal urban designs. Bibil is a software plugin for the Rhinoceros3D/Grasshopper3D CAD modeler that addresses this gap through the synthesis of design space exploration methods to help design teams optimize guidelines for environmental and energy performance criteria over the life cycle of the city. Bibil consists of three generative and data management modules. The first module simulates development scenarios from street and block information through time, the second designs appropriate architectural typology, and the third abstracts the typologies into a lightweight analysis model for detailed thermal load and energy simulation. State-of-the-art performance simulation is done via the Ladybug Analysis Tools Grasshopper3D plugin, and further bespoke analysis to explore the resulting design space is achieved with custom Python scripts.This paper first introduces relevant background for automated exploration of urban design guidelines. Then the paper surveys the state-of-the-art in design and performance simulation tools in the urban domain. Next the paper describes the beta version of the tool’s three modules and its application in a built form study to assess urban canyon performance in a major North American city. Bibil enables the exploration of a broader range of potential design scenarios, for a broader range of performance criteria, over a longer period of time.
keywords	design methods; information processing; simulation & optimization; form finding; generative system
series	ACADIA
email
last changed	2022/06/07 07:58

_id	ascaad2023_141
id	ascaad2023_141
authors	Qtait, Shatha
year	2023
title	The Hierarchical Location-Allocation Model for Primary Health Care Facilities Planning: A Selected Case Study in Amman
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. 400-423.
summary	This study integrates a procedural approach to Primary Health Care Facilities (PHCFs) planning in Jordan, by combining Public Facilities Urban Planning Principles and Guidelines with a Hierarchical Location Allocation Model (HLAM) through the Process of Systematic Urban Planning suggested by Chadwick (1969) and Lee (1973). The objective of this study is to offer planners and decision makers a framework that can help them make decisions when selecting the locations for PHCFs. The study methodology is based on an analytical approach to analyse data, and then an experimental approach was employed to investigate the relations between the study variables to test the study hypothesis and to answer the key questions. The study highlights the healthcare system of Jordan, and it suggests PHCF planning standards. The study also highlights the principles of public facilities urban planning, and the use of models in urban planning particularly HLAM. Then, the study introduces “HLAM Application” as a study tool which was built particularly to solve HLAM for primary healthcare system of Jordan.The results indicate that PHCF planning in Jordan suffers from the low efficiency of the spatial distribution in conformity with the population density and the max distance to the nearest healthcare facility and does not fulfill the public facilities urban planning principles and the hierarchy system of PHCF adopted by the Ministry of Health.
series	ASCAAD
email
last changed	2024/02/13 14:41

_id	e1a1
authors	Rodriguez, G.
year	1996
title	REAL SCALE MODEL VS. COMPUTER GENERATED MODEL
source	Full-Scale Modeling in the Age of Virtual Reality [6th EFA-Conference Proceedings]
summary	Advances in electronic design and communication are already reshaping the way architecture is done. The development of more sophisticated and user-friendly Computer Aided Design (CAD) software and of cheaper and more powerful hardware is making computers more and more accessible to architects, planners and designers. These professionals are not only using them as a drafting tool but also as a instrument for visualization. Designers are "building" digital models of their designs and producing photo-like renderings of spaces that do not exist in the dimensional world. The problem resides in how realistic these Computer Generated Models (CGM) are. Moss & Banks (1958) considered realism “the capacity to reproduce as exactly as possible the object of study without actually using it”. He considers that realism depends on: 1)The number of elements that are reproduced; 2) The quality of those elements; 3) The similarity of replication and 4) Replication of the situation. CGM respond well to these considerations, they can be very realistic. But, are they capable of reproducing the same impressions on people as a real space? Research has debated about the problems of the mode of representation and its influence on the judgement which is made. Wools (1970), Lau (1970) and Canter, Benyon & West (1973) have demonstrated that the perception of a space is influenced by the mode of presentation. CGM are two-dimensional representations of three-dimensional space. Canter (1973) considers the three-dimensionality of the stimuli as crucial for its perception. So, can a CGM afford as much as a three-dimensional model? The “Laboratorio de Experimentacion Espacial” (LEE) has been concerned with the problem of reality of the models used by architects. We have studied the degree in which models can be used as reliable and representative of real situations analyzing the Ecological Validity of several of them, specially the Real-Scale Model (Abadi & Cavallin, 1994). This kind of model has been found to be ecologically valid to represent real space. This research has two objectives: 1) to study the Ecological Validity of a Computer Generated Model; and 2) compare it with the Ecological Validity of a Real Scale Model in representing a real space.
keywords	Model Simulation, Real Environments
series	other
type	normal paper
more	http://info.tuwien.ac.at/efa/
last changed	2004/05/04 14:42

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