Keywords
buildings
operational modal analysis,
stochastic subspace identification,
structural dynamics.
Análisis modal operacional
dinámica de estructuras
edificio
identificación subespacial estocástica
vibraciones ambientales
How to Cite
Abstract
The objective of this study is to identify the operational modal parameters of a six-story reinforced
concrete frame building. This is done through roving sensor instrumentation technique while comparing
the two main variations of the stochastic subspace identification method: covariance-based (SSI-COV)
and data-based (SSI-DATA) The experimentation is executed in order to contrast their effectiveness to
identify the dynamic system of concrete buildings from ambient vibration tests.
The instrumentation of the building was carried out with four triaxial strong motion accelerographs.
One stayed fixed on the top floor as a reference node for modal shape merging. The other three were moved
from floor to floor to recover the operational modal shapes throughout the building at the observation
points. This resulted in a total of six test configurations that lasted 20 min each.
A total of nine modes were identified with the SSI-COV method, with successful merging and
recovering of their complete modal shapes. However, modes could not be identified correctly with SSIDATA,
for data collected on the lower floors, so it was not possible to recover the complete mode shapes
of the building. In this case, it is concluded that SSI-COV has better capacity for modal identification
from ambient vibrations collected via roving accelerographs in buildings.
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