1,720,954 research outputs found
Computational architecture: Focusing on the structural and layout complexity
No full textArchitectural design is complex. It should be treated using appropriate methods. Intelligence methods, because those are able to deal with the complexity.Computational architectureArchitectureArchitectur
An Art Museum Hub for Den Haag
No full textIn this project I tried to establish a relationship between the art centers existing at the area with the art museum at the site. I tried to the deal with the museum as an art museum hub which attracts tourists and the people by means of routing and the transparency provided in the building. By this interaction between the people and the museum and the relation of it with other art centers, the museum takes the main role for leading people to the art centers of Den Haag.Computational Design and Fabrication TechnologiesArchitectureArchitectur
Intelligent Design Objects (IDO): A cognitive approach for performance-based design
No full textDesign is complex. This is because it involves conflicting goals that are often vague. Also, prior to the design it is generally not clear how important goals are relative to each other. And finally the amount of possible solutions is large in general. These bottlenecks are addressed in this thesis. A novel approach for design is proposed, where computation is used to reach most suitable solutions. The approach is based on a novel concept of the objects forming a design. This concept is termed intelligent design objects. Such objects exhibit intelligent behavior in the sense that they approach most desirable solutions for conflicting, vague goals put forward by a designer. That is, the objects know ‘themselves’ what to do to satisfy a designer’s goals. This is accomplished using methods from the domain of computational intelligence, as these are uniquely able to deal with the complexity of design mentioned above. The result from the approach is that designers and decision makers have great certainty about the satisfaction of their goals and are able to concentrate on second order aspects they were not aware of prior to the execution. The approach is implemented for two applications from the domain of architecture demonstrating its effectiveness. The thesis addresses to students, researchers and executives in the field of architecture, and other areas of design. It may be also interesting for researchers in the domain of computational intelligence, as it provides a formalism of intelligent design, and it exemplifies the use of these modern technologies in the design domain. Due to its generic nature, this formalism may have some significance in the development of the science of design.Building TechnologyArchitectur
Focusing on spatial composition and influence of building envelope on daylight aspects in an art center
No full textFocusing on spatial composition and influence of building envelope on daylight aspects in an art center using "Visual Perception" & "Fuzzy Neural System" which was a complete failure in my design case...Computational Design & Fabrication TechnologyArchitectureArchitectur
An Inside to Outside approach: Focussing on parametric pattern generation for spatial organization, satisfying experiential demands
No full textIdentification and application of suitable computational methods to effectively handle complexity issues in architectural design process. The associated research questions are: - How can perceptual demands for an exhibition be satisfied using parametric - pattern based approach? - How can such experential demands be addressed together with other functional related concerns optimally? The application to verify the validity of the study concerns the design of an art center in an urban context.Computational design and fabrication technologies in ArchitectureArchitectureArchitectur
Multiobjective Optimization for Cognitive Design
No full textAn innovative neural fuzzy system is considered for cognitive design using a neural tree structure with nodes of neuronal type, where Gaussian function plays the role of membership function. The total tree structure effectively works as a fuzzy logic system. The structure of the tree is determined by domain knowledge and each node represents an entity of the domain of concern. The states of these entities are dependent on the stimuli at the input and the relationships between the stimuli and the states form the core for cognitive design. Namely, for each stimulus the status of the system is known and interpreted not only at the output but also at the granulated level concerning the system sub-domains. The research is described in detail and demonstrative applications are reported.Architecture and The Built Environmen
Freeform Follows Functions
No full textThis research is twofold. Firstly it treats the complexity of design using a computational intelligent method to achieve, with regard to a limited set of goals, high performing designs. Secondly, an architectural and structural challenge to conceptually design a freeform roof framework, which integrates structural rigidity and non-standard tessellation.Design & Technology - Computation & PerformanceArchitectural Engineering + TechnologyArchitecture and The Built Environmen
Multi-objective optimization in the construction industry
No full textMulti-objective-optimization-based positioning of houses in a residential neighborhood is described. The task is the placement of the buildings in a favorable configuration constrained by two objectives, which are garden performance and visual privacy performance requirements. The method used is evolutionary computation with the Pareto front based on a weighted function of the objectives. It is found that greedy non-dominated solution search is inferior to the relaxed counterpart. The analysis of the Pareto-front formation is described in detail and satisfactory operation of the algorithm is presented.Architecture and The Built Environmen
Discovering Design Principles for Soft Multi-objective Decision Making
No full textDecision-making tasks sometimes involve soft objectives. They are soft in the sense that they contain uncertainty, imprecision or vagueness. For example, decisions on built environment aim to maximize comfort or other experiential qualities. Pareto-optimal solutions to such problems can be found using multi-objective evolutionary search together with other soft computing methods. Beyond optimality, professionals are interested in knowing how different aspects of the problem influence each other in optimal solutions. Such knowledge is referred to as the design principles. Through them decisions can be taken with great confidence and knowledge for similar future design cases is gained. Using the Pareto-optimal solutions for this purpose is known as innovization and it has been exercised for various crisp engineering problems. In the present paper automated innovization is used to discover the principles for a soft decision making problem. The process involves the use of a grid-based clustering technique integrated with a genetic algorithm for unsupervised learning of the principles. Multiple design principles are discovered simultaneously through a niching strategy. The large number of variables originating from the softness of the problem poses an additional challenge of parsimonious knowledge representation for ensuring interpretability. The problem investigated is a real-world decision making task concerning the optimal placement of a number of residential units in an urban design, involving two soft objectives: the recuperative quality of the neighborhood, as well as its living comfort should both be maximized. The underlying design principles are obtained and interpreted from the point of view of the decision-maker. This demonstrates the relevance of evolutionary knowledge discovery in decision-making, a matter which should provide decision-makers adequate and informed knowledge for choosing a single preferred solution among the Pareto-optimal ones, and also to understand intricate trade-offs among decision variables.Building TechnologyArchitectur
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