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Response-spectrum analysis (RSA) is a linear-dynamic statistical analysis method which measures the contribution from each natural mode of vibration to generate 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.

List of resources2
drafts-rootResponse-spectrum analysis drafts
labelresponse-spectrum-analysis

Damping and RSA:

  • RSA provides insight into how damping application affects structural response. A family of response curves may be developed for with variable levels of damping. As damping increases, response spectra will shift 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, therefore they are neither not modeled during RSA, nor and are not accounted for in the IBC provision for 5% damping.

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  • 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 to when considering uplift and compression during foundation design.
  • Modal response may be combined using SRSS, CQC, ABS, or GMC methods. CQC is best applied 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 analysis RSA because this condensed and formulation is computationally - efficient formulation only identifies . 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 or of shear-wall systems, and etc. Eigen application is also useful for locating modeling errors.