Integrated structural/control optimization of large adaptive/smart structures

Abstract

The authors recently presented a general computational model for active control of large structures subjected to dynamic loadings such as impact, earthquake, or wind loadings through integration of four different technologies: control theory, optimization theory, sensor/actuator technology, and high-performance computing. In this extension of the research, the computational model is generalized by simultaneous minimization of the weight of the structure and the required level of control forces. The solution of the integrated structural/control optimization problem for large structures requires high-performance computing resources. A new parallel-vector algorithm has been developed for computation of the closed loop eigenvalue and damping factor sensitivities. The computational model and parallel vector algorithms have been applied to both steel bridge and multistorey space frame structures subjected to various types of dynamic loadings such as impulsive traffic, wind, and earthquake loadings. It is concluded that through adroit use of controllers, the weight of the minimum weight structure can be reduced substantially. This research provides the foundation for design and construction of a new generation of high-technology adaptive/smart structures.