Summary:
In the design of structures, systems have been developed to achieve optimization through the use of algorithms. However, algorithms of the prior art often fail in terms of convergence and stability, particularly for large nonlinear engineering systems. For instance, existing Computer-Aided Design (CAD) software systems have rudimentary optimization capabilities and can hardly handle large nonlinear systems. Another problem with prior art systems is that the data models employed do not take advantage of computing resources available today. Optimization of large structures with thousands of members subjected to actual constraints of commonly-used design codes requires an inordinate amount of computer processing and can be done only on multiprocessor supercomputers.
Researchers at the Ohio State University have discovered a superior system for design optimization of highrise and superhighrise buildings with more than 20,000 members subjected to actual nonlinear constraints of commonly used design codes. Employing this invention can yield substantial weight savings in the design of large structures with millions of dollars of cost savings. This invention can also serve as a stepping stone in further improvement of CAD software.
Potential Applications:
Design of large structures.
Advantages:
- Substantial weight savings
- Substantial cost savings