Sensitivity analysis of smart structures
β Scribed by Xiaojian Liu; David William Begg
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 806 KB
- Volume
- 163
- Category
- Article
- ISSN
- 0045-7825
No coin nor oath required. For personal study only.
β¦ Synopsis
The simultaneous optimal design of adaptive structural systems has been formulated as a multi-objective programming problem with the structural variables and controller parameters as design variables. To construct a well-behaved algorithm for the solution of a problem of such complexity, accurate sensitivity information is essential. The purpose of this paper is to systematically evaluate the analytical expressions for the design gradients of the various objectives and constraints with respect to the continuous design variables. Kleinman's Lemma and Bellman's expansion are employed in the derivation, and as a result, the gradient of quadratic performance criterion with respect to the open-loop plant matrix is obtained. This result provides, along with previous results obtained by others, a complete sensitivity package for smart structural control and optimisation. With this sensitivity information, a truly simultaneous optimisation of a smart structure could be possible. Numerical results are presented as verification of the analytical derivations.
π SIMILAR VOLUMES
The concept of sensitivity enhancing control (SEC) introduced previously by the authors exploits the relationship between feedback control gains and classic measures of root and system sensitivity in order to increase the magnitude of variation in modal characteristics when damage occurs. This paper
The present paper suggests a method to consider uncertainties in engineering structures in a computational scheme. Latin hypercube sampling is used to prepare input data of probabilistic parameters for subsequent deterministic simulations where the mechanical response is evaluated. The approach is a