Fully Automated Design of Super-High-Rise Building Structures by a Hybrid AI Model on a Massively Parallel Machine

This article presents an innovative research project (sponsored by the National Science Foundation, the American Iron and Steel Institute, and the American Institute of Steel Construction) where computationally elegant algorithms based on the integration of a novel connectionist computing model, mathematical optimization, and a massively parallel computer architecture are used to automate the complex process of engineering design. Adeli and his associates have been working on creating novel design theories and computational models with two broad objectives: (1) automation and (2) optimization (Adeli and Hung 1995; Adeli and Kamal 1993; Adeli and Zhang 1993; Adeli and Yeh 1989; Adeli and Balasubramanyam 1988a, 1998b; Paek and Adeli 1988; Adeli and Alrijleh 1987). Civil-engineering structures are typically one of a kind as opposed to manufacturing designs that are often mass produced. To create computational models for structural design automation, we have been exploring new computing paradigms. Two such paradigms are neurocomputing and parallel processing.