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Paper Information

Journal:   CIVIL ENGINEERING INFRASTRUCTURES JOURNAL (CEIJ) (JOURNAL OF FACULTY OF ENGINEERING)   DECEMBER 2010 , Volume 43 , Number 1; Page(s) 117 To 126.
 
Paper: 

VERTICAL VIBRATION OF COMPOSITE FLOOR BY NEURAL NETWORK ANALYSIS

 
 
Author(s):  GHORBANPOUR A.H., GHASEMIEH M.*
 
* SCHOOL OF CIVIL ENGINEERING, UNIVERSITY COLLEGE OF ENGINEERING, UNIVERSITY OF TEHRAN, I.R.IRAN
 
Abstract: 

Composite steel concrete composite floor used mainly in the commercial and office building has lighter weight and is considered very economical. The light weight natures of this type of floor causes some vibration problems when it is subjected to loadings such as human footstep loading. The dynamic characteristics of these floors are dependent on several parameters such as joist span, girder span, slab thickness and etc. In this article, using the neural network analysis, the vertical vibration of the composite floor system subjected to footstep loading is investigated. The parameters effecting on the overall vibrational characteristics is recognized. Numbers of practical cases subjected to different loading were analyzed. Finally with some of the guidelines provided from other researchers and the results obtained from this study, the vertical floor vibration induced by footstep loading can be checked and the design equations and the guidelines required for such phenomenon can be controlled.

 
Keyword(s): FLOOR VIBRATION, COMPOSITE FLOOR, FOOTSTEP LOADING, NEURAL NETWORKS
 
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