The study aims
is to investigate the consequences
of inherent characteristics of near field ground motion
on the seismic behavior of steel building by using Hazus
Methodology.
The extensive
seismic recordings in near to fault areas have provided
clear evidence that ground motion in the near field of a
rupturing fault differs from far field ground motions,
as inherently it possess pulse-type character.
Particularly, in the direction of rupture pulse events
arrive in a single coherent time; result in a
long–period, short duration and large amplitude of
pulses (Somerville 1998) that occurs at the beginning of
the record (the directivity
effect).
In this present work, seismic
evaluation been
has
been performed by means of a push-over
& time history analysis conducted on a typical nine
story pre-Northridge design steel
moment resisting frame building. The associated
damage limit states are defined according to the Hazus
criteria for a single building.
Push-over
analysis was carried out to check the performance level
& to specify the limit states on a pushover curve of a
building by Sap-2000.
To quantify the maximum displacement of a
building,
a non-linear time history analysis has been performed
by
using the existing
seismic record. As a result the maximum
displacement of the selected building under the referred
scenarios is evaluated & plotted
against a fragility curve, thus gives exceedance
of probability of damage limit states of a building.
The
HAZUS resuls are then compared with the actual inelastic
response of the structures (SAP-2000) in order to
determine the adequacy of the results.
Studies revealed that the HAZUS methodology is quite
compatible with the actual SAP outcomes under reffered
ground motion and can be used to estimate the
vulnerability of the building for the small to large
magnitude of earthquakes. However, few earthquakes
recordings, exhibits in discrepancy between the two
methods, due to the fact that HAZUS criteria is based on
approximate push over curve while SAP outcomes are on
nonlinear time history analysis.
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