Optimal placement of active members for truss structure using genetic algorithm

15Citations
Citations of this article
9Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The objective of this work is to develop an optimization methodology to design adaptive truss structures with multiple optimally placed active members. The finite element model of truss structures with piezoelectric members is presented. The performance function is built for optimal design of active members at discrete locations in the output feedback control system by using the method proposed by K. Xu et al. Genetic algorithm (GA) is used to search the optimal locations of active members for vibration suppression of adaptive truss structure. A numerical example of the planar truss structure with two piezoelectric active members is performed, and the corresponding experimental set-up is designed for active vibration control. The experimental results demonstrate the effectiveness of optimal placement of active members for adaptive truss structures using genetic algorithm. © Springer-Verlag Berlin Heidelberg 2005.

Cite

CITATION STYLE

APA

Yan, S., Zheng, K., Zhao, Q., & Zhang, L. (2005). Optimal placement of active members for truss structure using genetic algorithm. In Lecture Notes in Computer Science (Vol. 3645, pp. 386–395). Springer Verlag. https://doi.org/10.1007/11538356_40

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free