This paper describes a new methodology of deriving innovative hybrid designs using shape grammars of heterogeneous designs. The method is detailed within three phases of shape grammars: analysis, synthesis and evaluation. In the analysis phase, the research suggests that original rules of each design component are grouped in subclass rule sets to facilitate rule choices. Additionally, adding new hybrid rules to original rules expands the options available to the grammar user. In the synthesis phase, the research adopts state labels and markers to drive the design generation. The former is implemented with a user guide grammar to ensure hybridity in the generated design, while the latter aims to ensure feasible designs. Lastly evaluation criteria are added to measure the degree of innovation of the hybrid designs. This paper describes the derivation of hybrid minaret designs from a corpus of heterogeneous traditional minaret designs.
The construction of parametric model is an important stage in the digital design process in general and in the parametric design process in particular. The parametric model allows the designer to make changes and reshape the geometry without erasing and redrawing. It also helps to explore design alternatives as it provides a level of flexibility to be continuously evaluated, revised and updated when adding or altering different components within the same parametric model structure. The research problem has been identified, as there is no clear definition of the specifications of constructing a parametric model in the contemporary digital architectural designs. Therefore, the objective of the research is to put forward a theoretical framework that defines clearly the specifications of building a parametric model. The framework describes the specifications using the following issues: the timing of constructing the parametric model, the knowledge employed in the construction of parametric model, the methods of constructing and revising a parametric model, The place where a parametric model is applied, and finally the number of parametric models within a design. The framework has been applied to six international projects adopting a parametric design approach. The results showed that employing parametric modeling mostly starts at the development stage of design and continues in the detailing and manufacturing stages, the adoption of ill-defined knowledge, the definition of design variables in terms of quantitative and qualitative characteristics, and using one parametric model shared among multiple design disciplines.
The paper deals with digital generative algorithmic systems. Its aim is to investigate the extent to which the difference between rule-based algorithmic systems affects the definition of rules themselves. To achieve this aim, the paper put forward a theoretical framework of rule-based systems including the characteristics of rules, and the way they work. The framework was adopted as a basis for the comparison of four common rule-based algorithmic design approaches in architecture. They are Shape Grammars, L-systems, Cellular Automata, and Swarm Intelligence Algorithm. The results showed that the differences between the rule-based algorithmic systems are slightly reflected in their rules. The similarities are identified in many rule's properties and their way of work such as: using symbols in the representation of rules, using substitution rules in the generation process, using the same procedures included in rules, the possibility of rule's repetition and rule's termination. However, shape grammars showed some individuality, especially in the reference of rules to architectural precedents.
In recent decades, new design methods have emerged in architectural domain depending on the computer as a design tool. The ill-defined nature of architectural problem and the designer subjective preferences have required the use of objective methods of knowledge analysis such as exploration. Previous studies on design computing have described exploration in relation to varied design operations; the most important of them are the search and evaluation processes. The paper puts forward a theoretical framework for exploration in design computing which is able to differentiate the use of exploration among various computational tools. It defines the aims of exploration, the roles of exploration in a design process, the sequence of exploration activities in a design process, and the executor of exploration. The roles of exploration include searching both the design problem space and design solution space; whereas in the latter, exploration is a tool of generating and evaluating design alternatives. The framework is used to identify the tasks of exploration in some design computing tools.
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