The Analysis for Semi-Active Control Application in the MSCSS Subjected to Seismic Excitation

Hao Wu; Xun An Zhang; Ting  Cai

doi:10.4028/www.scientific.net/AMR.756-759.254

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759The Analysis for Semi-Active Control Application...

The Analysis for Semi-Active Control Application in the MSCSS Subjected to Seismic Excitation

Abstract:

This Paper focuses on the semi-active control application in the Mega-Sub Controlled Structure System (MSCSS) subjected to seismic excitation. The semi-active control devices, which are installed in the MSCSS between the mega-structure and sub-structure, were designed by using fuzzy neural network, and those semi-active control rules were optimized to enhance the control efficiency by using the genetic algorithm. A semi-active control problem of the MSCSS subjected to seismic excitation was investigated, the time history analyses under different seismic excitation, which like El Centro seismic wave and Taft seismic wave, were performed by using MATLAB. The calculation results demonstrate that the semi-active control combining the fuzzy neural network and genetic algorithm can clearly enhances the seismic performance of the MSCSS and it also provides an improved reduction in the dynamic response when compared to the passive control scheme.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

254-256

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.254

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Online since:

September 2013

Authors:

Hao Wu, Xun An Zhang, Ting Cai

Keywords:

Fuzzy Neural Network (FNN), Genetic Algorithm (GA), Mega-Sub Controlled Structure System (MSCSS), Semi-Active Control

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