Dynamic Characteristics of Buildings from Signal Processing of Ambient Vibration

The experimental technique used to determine the dynamic characteristics of buildings is based on records of low intensity oscillations of the building produced by various natural factors, such as permanent agitation type microseismic motions, city traffic, wind etc. The possibility of recording the...

Full description

Saved in:
Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2017-10, Vol.245 (2), p.22087
Main Authors: Dobre, Daniela, Sorin Dragomir, Claudiu
Format: Article
Language:English
Subjects:
Agitation
Buildings
Dynamic characteristics
Microseisms
Oscillations
Recording
Signal processing
Soils
Vibration
Vibration analysis
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The experimental technique used to determine the dynamic characteristics of buildings is based on records of low intensity oscillations of the building produced by various natural factors, such as permanent agitation type microseismic motions, city traffic, wind etc. The possibility of recording these oscillations is provided by the latest seismic stations (Geosig and Kinemetrics digital accelerographs). The permanent microseismic agitation of the soil is a complex form of stationary random oscillations. The building filters the soil excitation, selects and increases the components of disruptive vibrations corresponding to its natural vibration periods. For some selected buildings, with different instrumentation schemes for the location of sensors (in free-field, at basement, ground floor, roof level), a correlation between the dynamic characteristics resulted from signal processing of ambient vibration and from a theoretical analysis will be presented. The interpretation of recording results could highlight the behavior of the whole structure. On the other hand, these results are compared with those from strong motions, or obtained from a complex dynamic analysis, and they are quite different, but they are explicable.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/245/2/022087