Contrast Analysis of Dynamic Reliability of Random Structure with TMD and MTMD

Author

Bu, Guo-xiong ; Tan, Ping ; Zhou, Fu-lin ; Zhu, Jian

Author_Institution

Shenzhen Grad. Sch., Harbin Inst. of Technol., Shenzhen, China

Volume

2

fYear

2009

fDate

21-22 May 2009

Firstpage

321

Lastpage

324

Abstract

The neural network response surface method optimized by genetic optimization algorithm has been proposed to calculate the dynamic reliability of stochastic structure with TMD and MTMD, and a contrast analysis of dynamic reliability between them has been processed. The method has both the advantages of neural network response surface method and the global search of GA, which can approach to optimum solution of the performance function. And the iteration steps of JC method can be reduced effectively. The results of the finite element model show that the proposed method is accurate and effective, and MTMD control is better than TMD control for stochastic structure.

Keywords

damping; finite element analysis; genetic algorithms; iterative methods; neurocontrollers; random processes; reliability; response surface methodology; search problems; shock absorbers; stochastic systems; structural engineering; vibration control; JC method; MTMD control; TMD control; contrast analysis; dynamic reliability; finite element model; genetic optimization algorithm; global search; iterative method; multituned mass damper; neural network response surface method; random structure; stochastic structure; Algorithm design and analysis; Artificial neural networks; Damping; Frequency; Genetics; Information analysis; Neural networks; Optimization methods; Response surface methodology; Stochastic processes; MTMD; dynamic reliability; genetic optimization; response surface method; stochastic structure;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Computing Science, 2009. ICIC '09. Second International Conference on

Conference_Location

Manchester

Print_ISBN

978-0-7695-3634-7

Type

conf

DOI

10.1109/ICIC.2009.192

Filename

5169076