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The Research On Intelligent Semi-active Vibration Control Of High-rise Buildings

Posted on:2007-06-05Degree:DoctorType:Dissertation
Country:ChinaCandidate:X L XuFull Text:PDF
GTID:1102360212457734Subject:Structural engineering
Abstract/Summary:PDF Full Text Request
It is all known that we have gained some meaningful progress in vibration control field and successfully applied many control implements to practical engineering. But there are still some problems in the field of structural semi-active control strategy. The effects of some complicated factors, such as the nonlinear, time-change, time delay, strong couple, distributed parameters and uncertainty of controlled structure system, bring the research of structure control strategy many serious difficulties. Algorithm research of intelligent structure vibration control explores an efficient way to solve these problems. Research in this field will have important theoretical value and applied engineering meaning.The methods for intelligent semi-active vibration control of high-rise are fully researched in this dissertation on the basis of modern control theory, intelligent control theory, system identification, computing intelligence, new material technique etc., integrated general 3rd phase nonlinear benchmark building model. Main research content of this dissertation is as followed:1. A structural system identification method based on artificial neural networks is presented. Not only the drawbacks encountered in traditional system identification methods are overcome, but also the true dynamical characteristics are reflected. Simulation has been conducted to validate the effectiveness of the method on the 20 story benchmark building.2. In order to solve the existing problems of the application of artificial neural networks to the identification of structure systems, a new identification method to the structural systems is presented based on particle swarm optimization algorithm. Every particle of the colony is denoted as the structure parameters and maximum...
Keywords/Search Tags:high-rise buildings, benchmark problem, intelligent control, semi-active control, model identification, maximum likelihood criterion, nonlinear seismic response, fuzzy logic theory, artificial neural networks, modified genetic algorithm
PDF Full Text Request
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