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This paper presents results of transdisciplinary research on the development of a bioinspired computational framework for engineering design. This framework is intended to support design by addressing three critical design objectives, including novelty, optimality, and robustness. It provides several computational models and methods, which are inspired by fundamental processes occurring in nature, and discusses their potential for enhancing design. They include models and methods for evolutionary, developmental, and coevolutionary design. Their use is illustrated with examples from the area of steel structural design ranging from a simple cantilever beam design problem to a much more complex problem of designing wind bracings in tall buildings. The paper also shows how several methods and models can be integrated and form a coherent bioinspired computational framework for engineering design. [ABSTRACT FROM AUTHOR]

Improving and supporting the process of design knowledge reuse in engineering design can increase productivity, improve the quality of designs, and lead to greater corporate competitive advantage. Whereas internal knowledge reuse from one’s personal experiences is very effective, external knowledge reuse from an external digital or paper archive often fails. Based on a formalization of the internal reuse process from ethnographic studies, a prototype system, CoMem (corporate memory) is presented, which supports the reuse process, particularly the steps of finding and understanding. This paper presents a usability testing framework and methodology for the evaluation of reuse systems such as CoMem. The two pertinent variables are (1) the type of finding task; and (2) the size of the repository. Preliminary results from the evaluation of CoMem are presented as an example of the application of this framework for studying and assessing corporate memory design reuse systems. [ABSTRACT FROM AUTHOR]

Computer support for conceptual design of building structures is still ineffective, mainly because existing structural engineering applications fail to recognize that structural design and architectural design are highly interdependent processes. This paper describes a computer representation called StAr (structure-architecture), aimed to act as a common basis for collaboration between architects and engineers during conceptual structural design. The StAr representation describes the structural system as a hierarchy of entities with architectural counterparts, which enables the direct integration of the structural system to the building architecture as well as engineering feedbacks to the architect at various abstraction levels. The hierarchical structural description implements a top-down design approach where high-level structural entities, which are defined first, facilitate the configuration of lower-level entities whose functions in turn contribute to those of the higher-level wholes that they belong to. The representation has been built on top of a geometric modeling kernel that allows reasoning based on the geometry and topology of the design model, which is paramount during early design stages. A proof-of-concept software prototype, called StAr prototype, has been developed and a test example demonstrates how the representation can support the different activities that take place during the conceptual design of building structures. [ABSTRACT FROM AUTHOR]