CSI ETABS - 19 - Response Spectrum Analysis (RSA) Method | part 1

In this lecture, Response Spectrum Analysis (RSA) Method | part 1 is discussed.
DETAILS:
Response-spectrum analysis (RSA) is a linear-dynamic statistical analysis method which measures the contribution from each natural mode of vibration to indicate the likely maximum seismic response of an essentially elastic structure. Response-spectrum analysis provides insight into dynamic behavior by measuring pseudo-spectral acceleration, velocity, or displacement as a function of structural period for a given time history and level of damping. It is practical to envelope response spectra such that a smooth curve represents the peak response for each realization of structural period.
Response-spectrum analysis is useful for design decision-making because it relates structural type-selection to dynamic performance. Structures of shorter period experience greater acceleration, whereas those of longer period experience greater displacement. Structural performance objectives should be taken into account during preliminary design and response-spectrum analysis.
Damping and RSA:
RSA provides insight into how damping affects structural response. A family of response curves may be developed with variable levels of damping. As damping increases, response spectra shifts downward.
The International Building Code (IBC) is based on 5% damping. This accounts for incidental damping from hysteretic behavior, which is not explicitly modeled during RSA.
Viscous dampers do not affect structural stiffness, are not modeled during RSA, and are not accounted for in the IBC provision for 5% damping.
Additional notes on RSA:
All response quantities are positive, therefore RSA is not suitable for torsional irregularity. A static lateral-load procedure is best for measuring accidental torsion. The same applies when considering uplift and compression during foundation design.
Modal response may be combined using SRSS, CQC, ABS, or GMC methods. CQC is best when periods are closely spaced, with cross-correlation between mode shapes. SRSS is suitable when periods differ by more than 10%.
Ritz vectors are recommended for RSA because this formulation is computationally efficient. Only pertinent mode shapes which occur in the horizontal plane are identified. Eigen vectors use the full stiffness and mass matrices, which also account for vertical modes. Eigen formulation is useful when considering floor vibration, out-of-plane vibration of shear-wall systems, etc. Eigen application is also useful for locating modeling errors.
Commonly Response Spectrum present in ETABS
ASCE 7-10
BOCA 96
Chile Norma NG2369-2W
Chile Norma NCh433+DS61
Chinese 2010
Colombia NSR-IO
Dominican Republic R-001
Ecuador NEC-11 Capitulo 2
EUROCODE 8
EUROCODE 8-2004
From File
Guatemala AGIES NSE 2-1'
IS 1893: 2002
Italian NTC2008
Italian 3274
Korean KBC 2009
Mexjco NTC-2004
NBCC 2005
NBCC 2010
NBC C95
NEHRP 97
NZS 1170-2004
NZS 4203
Peru Noma E.030
Sl 413
TSC-2007
UBC 97
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[@mdamzadhossain7557]

Sir can u send me asc code book.for seismic ,wind or any link for download

[@mdamzadhossain7557]

[e-mail]

[@muhammadqasim2342]

Good Concept Thanks Sir

[@BashirAhmed-jo4zq]

Thanks for the efforts you made. Pls Keep it up.

[@omgomase84]

Nice ...thank you....!

[@sirajudheench8819]

Is there any difference in Time history analysis as per IS codes ?

[@sirajudheench8819]

Thanks great lecture

[@civilmdc]

Welcome

[@TheRegish]

Thank you for a nice channel, how to define response spectrum from a code not listed in etabs?

[@samiulislamniloy6785]

Sir, according to BNBC 2017, what will be the "Long-period transition period" and where Ican find the value according to BNBC 2017 ??
Please response, Thank you.

[@febriananta8079]

can i back to step the "function definition" after i"m click the "convert to user defined"?

[@civilmdc]

As per my knowledge
No...
You have create new... Again

[@tomcircle7163]

IF YOU PLEASE SEND THE LINK OF "ASCE 7-10" IT WOULW BE GREAT HELP. THANKS.