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 678e
authors Aish, Robert
year 1986
title Three-dimensional Input and Visualization
source Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 68-84
summary The aim of this chapter is to investigate techniques by which man-computer interaction could be improved, specifically in the context of architectural applications of CAD. In this application the object being designed is often an assembly of defined components. Even if the building is not actually fabricated from such components, it is usually conceptualized in these terms. In a conventional graphics- based CAD system these components are usually represented by graphical icons which are displayed on the graphics screen and arranged by the user. The system described here consists of three- dimensional modelling elements which the user physically assembles to form his design. Unlike conventional architectural models which are static (i.e. cannot be changed by the users) and passive (i.e. cannot be read by a CAD system), this model is both 'user generated' and 'machine readable'. The user can create, edit and view the model by simple, natural modelling activities and without the need to learn complex operating commands often associated with CAD systems. In particular, the user can view the model, altering his viewpoint and focus of attention in a completely natural way. Conventional computer graphics within an associated CAD system are used to represent the detailed geometry which the different three-dimensional icons may represent. In addition, computer graphics are also used to present the output of the performance attributes of the objects being modelled. In the architectural application described in this chapter an energy- balance evaluation is displayed for a building designed using the modelling device. While this system is not intended to offer a completely free-form input facility it can be considered to be a specialist man-machine interface of particular relevance to architects or engineers.
series CAAD Futures
email
last changed 2003/11/21 15:15

_id cc15
authors Ansaldi, Silvia, De Floriani, Leila and Falcidieno, Bianca
year 1985
title Geometric Modeling of Solid Objects by Using a Face Adjacency Graph Representation
source SIGGRAPH '85 Conference Proceedings. July, 1985. vol. 19 ; no. 3: pp. 131-139 : ill. includes bibliography
summary A relational graph structure based on a boundary representation of solid objects is described. In this structure, called Face Adjacency Graph, nodes represent object faces, whereas edges and vertices are encoded into arcs and hyperarcs. Based on the face adjacency graph, the authors define a set of primitive face-oriented Euler operators, and a set of macro operators for face manipulation, which allow a compact definition and an efficient updating of solid objects. The authors briefly describe a hierarchical graph structure based on the face adjacency graph, which provides a representation of an object at different levels of detail. Thus it is consistent with the stepwise refinement process through which the object description is produced
keywords geometric modeling, graphs, objects, representation, data structures,B-rep, solid modeling, Euler operators
series CADline
last changed 2003/06/02 10:24

_id 8ae8
authors Ayala, D., P. Brunet and Juan (et al)
year 1985
title Object Representation by Means of Nominimal Division Quadtrees and Octrees
source ACM Transactions on Graphics. January, 1985. vol. 4: pp. 41-59 : ill. includes bibliography
summary Quadtree representation of two-dimensional objects is performed with a tree that describes the recursive subdivision of the more complex parts of a picture until the desired resolution is reached. At the end, all the leaves of the tree are square cells that lie completely inside or outside the object. There are two great disadvantages in the use of quadtrees as a representation scheme for objects in geometric modeling system: The amount of memory required for polygonal objects is too great, and it is difficult to recompute the boundary representation of the object after some Boolean operations have been performed. In the present paper a new class of quadtrees, in which nodes may contain zero or one edge, is introduced. By using these quadtrees, storage requirements are reduced and it is possible to obtain the exact backward conversion to boundary representation. Algorithms for the generation of the quadtree, boolean operation, and recomputation of the boundary representation are presented, and their complexities in time and space are discussed. Three- dimensional algorithms working on octrees are also presented. Their use in the geometric modeling of three-dimensional polyhedral objects is discussed
keywords geometric modeling, algorithms, octree, quadtree, curves, curved surfaces, boolean operations
series CADline
last changed 2003/06/02 13:58

_id 23bc
authors Demko, Stephen, Hodges, Laurie and Naylor, Bruce F.
year 1985
title Construction of Fractal Objects with Iterated Function Systems
source SIGGRAPH '85 Conference Proceedings. July, 1985. vol. 19 ; no. 3: pp. 271-278 : ill. col. includes bibliography
summary In computer graphics, geometric modeling of complex objects is a difficult process. An important class of complex objects arise from natural phenomena: trees, plants, clouds, mountains, etc. Researchers are investigating a variety of techniques for extending modeling capabilities to include these as well as other classes. One mathematical concept that appears to have significant potential for this is fractals. Much interest currently exists in the general scientific community in using fractals as a model of complex natural phenomena. However, only a few methods for generating fractal sets are known. We have been involved in the development of a new approach to computing fractals. Any set of linear maps (affine transformations) and an associated set of probabilities determines an Iterated Function System (IFS). Each IFS has a unique 'attractor' which is typically a fractal set (object). Specification of only a few maps can produce very complicated objects. Design of fractal objects is made relatively simple and intuitive by the discovery of an important mathematical property relating the fractal sets to the IFS. The method also provides the possibility of solving the inverse problem, given the geometry of an object, determine an IFS that will (approximately) generate that geometry. This paper presents the application of the theory of IFS to geometric modeling
keywords computer graphics, geometric modeling, fractals, visualization
series CADline
last changed 2003/06/02 13:58

_id a36a
authors Rasdorf, William J.
year 1985
title Perspectives on Knowledge in Engineering Design
source Proceedings of the International Computers in Engineering Conference. Boston, MA: American Society of Mechanical Engineers, August, 1985. Vol. 2: pp. 249-253. CADLINE has abstract only
summary Of all the contributions of artificial intelligence (AI), expert systems show some of the most significant promise for engineering applications. Expert systems provide a framework for acquiring, representing, and using knowledge about a particular application's domain. The role of knowledge in engineering design merits closer attention so that AI- oriented computer-aided engineering (CAE) systems can be developed and maintained systematically. Because 'knowledge' in engineering applications is loosely defined, it is necessary to identify knowledge types and the correlations between them before widespread engineering design applications can be achieved. The types of domain knowledge; facts, procedures, judgments, and control; differ from the classes of that knowledge; creative, innovative, and routine. Feasible tasks for expert systems can be determined based on these types and classes of knowledge. Interpretive tasks require reasoning about a task in light of the knowledge available, while generative tasks create potential solutions to be tested against constraints. Only after classifying the domain by type and level can the engineer select an appropriate knowledge-engineering tool for the domain being considered. The critical features to be weighed after problem classification are knowledge representation techniques, control strategies, interface requirements, compatibility with traditional systems, and economic considerations. After considering all of these factors in the selection of the expert system tool, the engineer can then proceed with the acquisition of knowledge and the construction and the use of the expert system
keywords knowledge, AI, civil engineering, expert systems, CAE, representation
series CADline
last changed 2003/06/02 13:58

_id 78ca
authors Friedland, P. (Ed.)
year 1985
title Special Section on Architectures for Knowledge-Based Systems
source CACM (28), 9, September
summary A fundamental shift in the preferred approach to building applied artificial intelligence (AI) systems has taken place since the late 1960s. Previous work focused on the construction of general-purpose intelligent systems; the emphasis was on powerful inference methods that could function efficiently even when the available domain-specific knowledge was relatively meager. Today the emphasis is on the role of specific and detailed knowledge, rather than on reasoning methods.The first successful application of this method, which goes by the name of knowledge-based or expert-system research, was the DENDRAL program at Stanford, a long-term collaboration between chemists and computer scientists for automating the determination of molecular structure from empirical formulas and mass spectral data. The key idea is that knowledge is power, for experts, be they human or machine, are often those who know more facts and heuristics about a domain than lesser problem solvers. The task of building an expert system, therefore, is predominantly one of teaching" a system enough of these facts and heuristics to enable it to perform competently in a particular problem-solving context. Such a collection of facts and heuristics is commonly called a knowledge base. Knowledge-based systems are still dependent on inference methods that perform reasoning on the knowledge base, but experience has shown that simple inference methods like generate and test, backward-chaining, and forward-chaining are very effective in a wide variety of problem domains when they are coupled with powerful knowledge bases. If this methodology remains preeminent, then the task of constructing knowledge bases becomes the rate-limiting factor in expert-system development. Indeed, a major portion of the applied AI research in the last decade has been directed at developing techniques and tools for knowledge representation. We are now in the third generation of such efforts. The first generation was marked by the development of enhanced AI languages like Interlisp and PROLOG. The second generation saw the development of knowledge representation tools at AI research institutions; Stanford, for instance, produced EMYCIN, The Unit System, and MRS. The third generation is now producing fully supported commercial tools like KEE and S.1. Each generation has seen a substantial decrease in the amount of time needed to build significant expert systems. Ten years ago prototype systems commonly took on the order of two years to show proof of concept; today such systems are routinely built in a few months. Three basic methodologies-frames, rules, and logic-have emerged to support the complex task of storing human knowledge in an expert system. Each of the articles in this Special Section describes and illustrates one of these methodologies. "The Role of Frame-Based Representation in Reasoning," by Richard Fikes and Tom Kehler, describes an object-centered view of knowledge representation, whereby all knowldge is partitioned into discrete structures (frames) having individual properties (slots). Frames can be used to represent broad concepts, classes of objects, or individual instances or components of objects. They are joined together in an inheritance hierarchy that provides for the transmission of common properties among the frames without multiple specification of those properties. The authors use the KEE knowledge representation and manipulation tool to illustrate the characteristics of frame-based representation for a variety of domain examples. They also show how frame-based systems can be used to incorporate a range of inference methods common to both logic and rule-based systems.""Rule-Based Systems," by Frederick Hayes-Roth, chronicles the history and describes the implementation of production rules as a framework for knowledge representation. In essence, production rules use IF conditions THEN conclusions and IF conditions THEN actions structures to construct a knowledge base. The autor catalogs a wide range of applications for which this methodology has proved natural and (at least partially) successful for replicating intelligent behavior. The article also surveys some already-available computational tools for facilitating the construction of rule-based knowledge bases and discusses the inference methods (particularly backward- and forward-chaining) that are provided as part of these tools. The article concludes with a consideration of the future improvement and expansion of such tools.The third article, "Logic Programming, " by Michael Genesereth and Matthew Ginsberg, provides a tutorial introduction to the formal method of programming by description in the predicate calculus. Unlike traditional programming, which emphasizes how computations are to be performed, logic programming focuses on the what of objects and their behavior. The article illustrates the ease with which incremental additions can be made to a logic-oriented knowledge base, as well as the automatic facilities for inference (through theorem proving) and explanation that result from such formal descriptions. A practical example of diagnosis of digital device malfunctions is used to show how significantand complex problems can be represented in the formalism.A note to the reader who may infer that the AI community is being split into competing camps by these three methodologies: Although each provides advantages in certain specific domains (logic where the domain can be readily axiomatized and where complete causal models are available, rules where most of the knowledge can be conveniently expressed as experiential heuristics, and frames where complex structural descriptions are necessary to adequately describe the domain), the current view is one of synthesis rather than exclusivity. Both logic and rule-based systems commonly incorporate frame-like structures to facilitate the representation of large amounts of factual information, and frame-based systems like KEE allow both production rules and predicate calculus statements to be stored within and activated from frames to do inference. The next generation of knowledge representation tools may even help users to select appropriate methodologies for each particular class of knowledge, and then automatically integrate the various methodologies so selected into a consistent framework for knowledge. "
series journal paper
last changed 2003/04/23 15:14

_id c547
authors Fenves, Stephen J. and Rasdorf, William J.
year 1985
title Treatment of Engineering Design Constraints in a Relational Database
source Engineering with Computers. Springer-Verlag, Spring, 1985. vol. 1: pp. 27-37. includes bibliography
summary A major aspect of engineering design is the formulation, application, evaluation, and satisfaction of design constraints. The ability to represent and process a wide variety of such constraints is a necessary ingredient of an engineering design database. This is especially true in databases integrating several design processes, where the database management system must serve as an active design agent performing many of the consistency and integrity checks that are currently done manually. This paper presents a mechanism for representing and processing engineering design constraints. The mechanism can be used for checking that constraints are satisfied as well as for deriving attribute values that satisfy the applicable constraints. Furthermore, the mechanism provides flexibility in sequencing the enforcement of constraints by allowing new constraints to be applied to a preexisting state of the database as well as to all subsequent operations on the database. In both these respects, the mechanism proposed appears to have applications beyond engineering design. The mechanism presented handles a broad class of single-relation, single-tuple constraints typical in engineering design applications. Instead of relying on normalization where possible, to remove functional dependencies, the mechanism incorporates new attributes that represent the status (satisfied or violated) of each constraint, thereby increasing the functional dependence of the relation. Consequently, passive constraint checking can be readily extended to active assignment of attribute values that automatically satisfy constraints. A prototype system implementing many of the components presented has been programmed in Pascal. In addition, portions of the system were implemented using the Relational Information Management (RIM) system, a commercially available DBMS
keywords civil engineering, design, knowledge, relational database, CAE, constraints management
series CADline
last changed 2003/06/02 13:58

_id 76ce
authors Grimson, W.
year 1985
title Computational Experiments with a Feature Based Stereo Algorithm
source IEEE Trans. Pattern Anal. Machine Intell., Vol. PAMI-7, No. 1
summary Computational models of the human stereo system' can provide insight into general information processing constraints that apply to any stereo system, either artificial or biological. In 1977, Marr and Poggio proposed one such computational model, that was characterized as matching certain feature points in difference-of-Gaussian filtered images, and using the information obtained by matching coarser resolution representations to restrict the search'space for matching finer resolution representations. An implementation of the algorithm and'its testing on a range of images was reported in 1980. Since then a number of psychophysical experiments have suggested possible refinements to the model and modifications to the algorithm. As well, recent computational experiments applying the algorithm to a variety of natural images, especially aerial photographs, have led to a number of modifications. In this article, we present a version of the Marr-Poggio-Gfimson algorithm that embodies these modifications and illustrate its performance on a series of natural images.
series journal paper
last changed 2003/04/23 15:14

_id ae09
authors Lieberman, Henry
year 1985
title There's More to Menu Systems Than Meets the Screen
source SIGGRAPH '85 Conference Proceedings. July, 1985. vol. 19 ; no. 3: pp. 181-189 : ill. includes bibliography
summary Love playing with those fancy menu-based graphical user interfaces, but afraid to program one yourself for your own application? Do windows seem opaque to you? Are you scared of Mice? Like what-you-see-is-what-you-get but don't know how to get-what-you-want-to-see on the screen? Everyone agrees using systems like graphical document illustrators, circuit designers, and iconic file systems is fun, but programming user interfaces for these systems isn't as much fun as it should be. Systems like the Lisp Machines, Xerox D- Machines, and Apple Macintosh provide powerful graphics primitives, but the casual applications designer is often stymied by the difficulty of mastering the details of window specification, multiple processes, interpreting mouse input, etc. This paper presents a kit called EZWin, which provides many services common to implementing a wide variety of interfaces, described as generalized editors for sets of graphical objects. An individual application is programmed simply by creating objects to represent the interface itself, each kind of graphical object, and each command. A unique interaction style is established which is insensitive to whether commands are chosen before or after their arguments. The system anticipates the types of arguments needed by commands preventing selection mistakes which are a common source of frustrating errors. Displayed objects are made 'mouse-sensitive' only if selection of the object is appropriate in the current context. The implementation of a graphical interface for a computer network simulation is described to illustrate how EZWin works
keywords user interface, computer graphics
series CADline
last changed 1999/02/12 15:09

_id 4f7a
authors Piegl, L.
year 1985
title The Sphere as a Rational Bezier Surface
source [4], 18 p. : ill. October, 1985. Preprint No. 07-13. includes bibliography
summary A method is developed for the efficient representation of spherical caps by using the rational Bezier scheme of Computer Aided Design. The technique is applied to describe special spherical patches such as the hemi-sphere, an octant of a sphere and the whole sphere. A geometric interpretation of quadratic curves and quadric patches is used in order to obtain an insight into the geometry inherent in the rational Bezier scheme and so to make easier the selection of the spherical patch out of the quadric primitives
keywords Bezier, curved surfaces, CAD
series CADline
last changed 2003/06/02 13:58

_id 8f9d
authors Wolchko, Matthew J.
year 1985
title Strategies Toward Architectural Knowledge Engineering
doi https://doi.org/10.52842/conf.acadia.1985.069
source ACADIA Workshop ‘85 [ACADIA Conference Proceedings] Tempe (Arizona / USA) 2-3 November 1985, pp. 69-82
summary Conventional CAD-drafting systems become more powerful modeling tools with the addition of a linked attribute spreadsheet module. This affords the designer the ability to make design decisions not only in the graphic environment, but also as a consequence of quantitative design constraints made apparent in the spreadsheet. While the spreadsheet interface is easily understood by the user, it suffers from two limitations: it lacks a variety of functional capabilities that would enable it to solve more complex design tasks; also, it can only report on existing conditions in the graphic environment. A proposal is made for the enhancement of the spreadsheet's programming power, creating an interface for the selection of program modules that can solve various architectural design tasks. Due to the complexity and graphic nature of architectural design, it is suggested that both procedural and propositional programming methods be used in concert within such a system. In the following, a suitable design task (artificial illumination-reflected ceiling layout) is selected, and then decomposed into two parts: the quantitative analysis (via the application of a procedural programming algorithm), and a logical model generation using shape grammar rules in a propositional framework.
series ACADIA
last changed 2022/06/07 07:57

_id 806f
authors Woo, Tony C.
year 1985
title A Combinatorial Analysis of Boundary Data Structure Schemata
source IEEE Computer Graphics and Applications. March, 1985. vol. 5: pp. 19-27 : ill. includes bibliography
summary While the design of an efficient 3-D data structure may be of theoretical interest, its real reward is the software speed- up in geometric algorithm for solid modeling, CAD/CAM and robotics application by using boundary data structures that are fast and use less storage. It is the objective of this article to provide techniques for designing new boundary data structures
keywords CAD, CAM, data structures, solid modeling, algorithms, B-rep,techniques
series CADline
last changed 2003/06/02 10:24

_id 2d64
authors Batori, D.S. and Kim, W.
year 1985
title Modeling Concepts for VLSI CAD Objects
source ACM Transactions on Database Systems 10 No. 3 - pp. 322-346
summary VLSI CAD applications deal with design objects that have an interface description and an implementation description. Versions of design objects have a common interface but differ in their implementations. A molecular object is a modeling construct which enables a database entity to be represented by two sets of heterogeneous records, one set describes the object's interface and the other describes its implementation. Thus a reasonable starting point for modeling design objects is to begin with the concept of molecular objects. In this paper, we identify modeling concepts that are fundamental to capturing the semantics of VLSI CAD design objects and versions in terms of molecular objects. A provisional set of user operations on design objects, consistent with these modeling concepts, is also defined. The modeling framework that we present has been found useful for investigating physical storage techniques and change notification problems in version control. REFERENCES
series journal paper
last changed 2003/11/21 15:16

_id 644f
authors Bijl, Aart
year 1986
title Designing with Words and Pictures in a Logic Modelling Environment
source Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 128-145
summary At EdCAAD we are interested in design as something people do. Designed artefacts, the products of designing, are interesting only in so far as they tell us something about design. An extreme expression of this position is to say that the world of design is the thoughts in the heads of designers, plus the skills of designers in externalizing their thoughts; design artifacts, once perceived and accepted in the worlds of other people, are no longer part of the world of design. We can describe design, briefly, as a process of synthesis. Design has to achieve a fusion between parts to create new parts, so that the products are recognized, as having a right and proper place in the world of people. Parts should be understood as referring to anything - physical objects, abstract ideas, aspirations. These parts occur in some design environment from which parts are extracted, designed upon and results replaced; in the example of buildings, the environment is people and results have to be judged by reference to that environment. It is characteristic of design that both the process and the product are not subject to explicit and complete criteria. This view of design differs sharply from the more orthodox understanding of scientific and technological endeavours which rely predominantly on a process of analysis. In the latter case, the approach is to decompose a problem into parts until individual parts are recognized as being amenable to known operations and results are reassembled into a solution. This process has a peripheral role in design when evaluating selected aspects of tentative design proposals, but the absence of well-defined and widely recognized criteria for design excludes it from the main stream of analytical developments.
series CAAD Futures
last changed 2003/11/21 15:16

_id 07c6
authors Kalay, Y.E., Harfmann, A.C. and Swerdloff, L.M.
year 1985
title ALEX: A Knowledge-Based Architectural Design System
doi https://doi.org/10.52842/conf.acadia.1985.096
source ACADIA Workshop ‘85 [ACADIA Conference Proceedings] Tempe (Arizona / USA) 2-3 November 1985, pp. 96-108
summary A methodology for the development of a knowledge-based computer-aided design system and its experimental application in the domain of single family house design are presented.

The methodology involves integrating within a unified design environment, tools and techniques that have been independently developed in various disciplines (including knowledge representation, information management, geometric modeling, human,machine interface, and architectural design). By assuming the role of active design partners, the resulting systems are expected to increase the productivity of designers, improve the quality of their products, and reduce cost and lead time of the design process as a whole.

ALEX (Architecture Learning Expert), a particular application of this methodology, is a prototype knowledge-based CAD system in the domain of single family house design. It employs user-interactive, goal directed heuristic search strategies in a solution space that consists of a network of objects. Message-based change propagation techniques, guided by domain-specific knowledge, are used to ensure database integrity and well-formedness.

The significance of the methodology and its application is threefold: it furthers our knowledge of the architectural design process, explores the utilization of knowledge engineering methods in design, and serves as a prototype for developing the next generation of computer-aided architectural design systems.

series ACADIA
email
last changed 2022/06/07 07:52

_id 4839
authors Kripac, Jiri
year 1985
title Classification of Edges and its Application in Determining Visibility
source Computer Aided Design. January/ February 1985. vol. 17: pp.30-36 : ill. includes bibliography
summary A new hidden-line algorithm is proposed for illustrating objects consisting of plane faces. The algorithm determines the degree of edge and classifies edges and faces into contoural and non-contoural. To reduce memory requirements, sequential files and sorting are used. The algorithm is particularly intended for illustrating complex objects, such as curved surfaces approximated by plane faces
keywords algorithms, hidden lines, curved surfaces, geometric modeling, computer graphics
series CADline
last changed 1999/02/12 15:08

_id avocaad_2001_02
id avocaad_2001_02
authors Cheng-Yuan Lin, Yu-Tung Liu
year 2001
title A digital Procedure of Building Construction: A practical project
source AVOCAAD - ADDED VALUE OF COMPUTER AIDED ARCHITECTURAL DESIGN, Nys Koenraad, Provoost Tom, Verbeke Johan, Verleye Johan (Eds.), (2001) Hogeschool voor Wetenschap en Kunst - Departement Architectuur Sint-Lucas, Campus Brussel, ISBN 80-76101-05-1
summary In earlier times in which computers have not yet been developed well, there has been some researches regarding representation using conventional media (Gombrich, 1960; Arnheim, 1970). For ancient architects, the design process was described abstractly by text (Hewitt, 1985; Cable, 1983); the process evolved from unselfconscious to conscious ways (Alexander, 1964). Till the appearance of 2D drawings, these drawings could only express abstract visual thinking and visually conceptualized vocabulary (Goldschmidt, 1999). Then with the massive use of physical models in the Renaissance, the form and space of architecture was given better precision (Millon, 1994). Researches continued their attempts to identify the nature of different design tools (Eastman and Fereshe, 1994). Simon (1981) figured out that human increasingly relies on other specialists, computational agents, and materials referred to augment their cognitive abilities. This discourse was verified by recent research on conception of design and the expression using digital technologies (McCullough, 1996; Perez-Gomez and Pelletier, 1997). While other design tools did not change as much as representation (Panofsky, 1991; Koch, 1997), the involvement of computers in conventional architecture design arouses a new design thinking of digital architecture (Liu, 1996; Krawczyk, 1997; Murray, 1997; Wertheim, 1999). The notion of the link between ideas and media is emphasized throughout various fields, such as architectural education (Radford, 2000), Internet, and restoration of historical architecture (Potier et al., 2000). Information technology is also an important tool for civil engineering projects (Choi and Ibbs, 1989). Compared with conventional design media, computers avoid some errors in the process (Zaera, 1997). However, most of the application of computers to construction is restricted to simulations in building process (Halpin, 1990). It is worth studying how to employ computer technology meaningfully to bring significant changes to concept stage during the process of building construction (Madazo, 2000; Dave, 2000) and communication (Haymaker, 2000).In architectural design, concept design was achieved through drawings and models (Mitchell, 1997), while the working drawings and even shop drawings were brewed and communicated through drawings only. However, the most effective method of shaping building elements is to build models by computer (Madrazo, 1999). With the trend of 3D visualization (Johnson and Clayton, 1998) and the difference of designing between the physical environment and virtual environment (Maher et al. 2000), we intend to study the possibilities of using digital models, in addition to drawings, as a critical media in the conceptual stage of building construction process in the near future (just as the critical role that physical models played in early design process in the Renaissance). This research is combined with two practical building projects, following the progress of construction by using digital models and animations to simulate the structural layouts of the projects. We also tried to solve the complicated and even conflicting problems in the detail and piping design process through an easily accessible and precise interface. An attempt was made to delineate the hierarchy of the elements in a single structural and constructional system, and the corresponding relations among the systems. Since building construction is often complicated and even conflicting, precision needed to complete the projects can not be based merely on 2D drawings with some imagination. The purpose of this paper is to describe all the related elements according to precision and correctness, to discuss every possibility of different thinking in design of electric-mechanical engineering, to receive feedback from the construction projects in the real world, and to compare the digital models with conventional drawings.Through the application of this research, the subtle relations between the conventional drawings and digital models can be used in the area of building construction. Moreover, a theoretical model and standard process is proposed by using conventional drawings, digital models and physical buildings. By introducing the intervention of digital media in design process of working drawings and shop drawings, there is an opportune chance to use the digital media as a prominent design tool. This study extends the use of digital model and animation from design process to construction process. However, the entire construction process involves various details and exceptions, which are not discussed in this paper. These limitations should be explored in future studies.
series AVOCAAD
email
last changed 2005/09/09 10:48

_id ascaad2006_paper20
id ascaad2006_paper20
authors Chougui, Ali
year 2006
title The Digital Design Process: reflections on architectural design positions on complexity and CAAD
source Computing in Architecture / Re-Thinking the Discourse: The Second International Conference of the Arab Society for Computer Aided Architectural Design (ASCAAD 2006), 25-27 April 2006, Sharjah, United Arab Emirates
summary These instructions are intended to guide contributors to the Second Architecture is presently engaged in an impatient search for solutions to critical questions about the nature and the identity of the discipline, and digital technology is a key agent for prevailing innovations in architectural design. The problem of complexity underlies all design problems. With the advent of CAD however, Architect’s ability to truly represent complexity has increased considerably. Another source that provides information about dealing with complexity is architectural theory. As Rowe (1987) states, architectural theory constitutes “a corpus of principles that are agreed upon and therefore worthy of emulation”. Architectural theory often is a mixed reflection on the nature of architectural design, design processes, made in descriptive and prescriptive terms (see Kruft 1985). Complexity is obviously not a new issue in architectural theory. Since it is an inherent characteristic of design problems, it has been dealt with in many different ways throughout history. Contemporary architects incorporate the computer in their design process. They produce architecture that is generated by the use of particle systems, simulation software, animation software, but also the more standard modelling tools. The architects reflect on the impact of the computer in their theories, and display changes in style by using information modelling techniques that have become versatile enough to encompass the complexity of information in the architectural design process. In this way, architectural style and theory can provide directions to further develop CAD. Most notable is the acceptance of complexity as a given fact, not as a phenomenon to oppose in systems of organization, but as a structuring principle to begin with. No matter what information modelling paradigm is used, complex and huge amounts of information need to be processed by designers. A key aspect in the combination of CAD, complexity, and architectural design is the role of the design representation. The way the design is presented and perceived during the design process is instrumental to understanding the design task. More architects are trying to reformulate this working of the representation. The intention of this paper is to present and discuss the current state of the art in architectural design positions on complexity and CAAD, and to reflect in particular on the role of digital design representations in this discussion. We also try to investigate how complexity can be dealt with, by looking at architects, in particular their styles and theories. The way architects use digital media and graphic representations can be informative how units of information can be formed and used in the design process. A case study is a concrete architect’s design processes such as Peter Eisenman Rem Koolhaas, van Berkel, Lynn, and Franke gehry, who embrace complexity and make it a focus point in their design, Rather than viewing it as problematic issue, by using computer as an indispensable instrument in their approaches.
series ASCAAD
email
last changed 2007/04/08 19:47

_id c898
authors Gero, John S.
year 1986
title An Overview of Knowledge Engineering and its Relevance to CAAD
source Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 107-119
summary Computer-aided architectural design (CAAD) has come to mean a number of often disparate activities. These can be placed into one of two categories: using the computer as a drafting and, to a lesser extent, modelling system; and using it as a design medium. The distinction between the two categories is often blurred. Using the computer as a drafting and modelling tool relies on computing notions concerned with representing objects and structures numerically and with ideas of computer programs as procedural algorithms. Similar notions underly the use of computers as a design medium. We shall return to these later. Clearly, all computer programs contain knowledge, whether methodological knowledge about processes or knowledge about structural relationships in models or databases. However, this knowledge is so intertwined with the procedural representation within the program that it can no longer be seen or found. Architecture is concerned with much more than numerical descriptions of buildings. It is concerned with concepts, ideas, judgement and experience. All these appear to be outside the realm of traditional computing. Yet architects discoursing use models of buildings largely unrelated to either numerical descriptions or procedural representations. They make use of knowledge - about objects, events and processes - and make nonprocedural (declarative) statements that can only be described symbolically. The limits of traditional computing are the limits of traditional computer-aided design systems, namely, that it is unable directly to represent and manipulate declarative, nonalgorithmic, knowledge or to perform symbolic reasoning. Developments in artificial intelligence have opened up ways of increasing the applicability of computers by acquiring and representing knowledge in computable forms. These approaches supplement rather than supplant existing uses of computers. They begin to allow the explicit representations of human knowledge. The remainder of this chapter provides a brief introduction to this field and describes, through applications, its relevance to computer- aided architectural design.
series CAAD Futures
email
last changed 2003/05/16 20:58

_id 0551
authors Haller, Fritz
year 1985
title The Design of Buildings Which Have Complex Mechanical Infrastructure Using Expert Systems
source 1985? 24 p. : ill. Co-authored by several contributors. Includes bibliography
summary The paper presents a project whose aim is to find better methods for the design of buildings like laboratories, office buildings, schools, hospitals etc., which have complex mechanical systems. The design of the mechanical infrastructure in such buildings is as important as the design of other architectural or construction parts. The fundamental idea of the project is to integrate design problems of the mechanical system into the design of the architectural and structural concepts of the entire building. This is based on the belief that using an expert system containing computer programs for the solution of design problems can support the whole design process and that the design of buildings having complex mechanical infrastructure can be qualitatively better and more efficient than the design with traditional methods
keywords architecture, expert systems, mechanical, systems, applications, design, building, construction
series CADline
last changed 1999/02/12 15:08

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