12.07.2015 Views

Report - PEER - University of California, Berkeley

Report - PEER - University of California, Berkeley

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4. EARTHQUAKE GROUND MOTION INPUT AND UNCERTAINTIES OFITS PARAMETERSThe earthquake ground motion input used in this analysis is the artificial groundmotion (Jiang 1984). The earthquake acceleration time history is expressed as:a(t)= ψ(t)as(t)(2)where a s (t) is a stationary Gaussian process with zero mean value and ψ(t)is anenvelope function describing the nonstationary process.⎧(t/ t1)⎪2ψ ( t) = ⎨ 1⎪⎪−c(t−⎩e2t2 )where c is an attenuation constant.when t < twhen t11when t > t≤ t ≤ t22(3)N−1a s (t) = 2 ∑ G( ωk) ∆ω cos( ωkt − φ k )k=1(4)where φkare random phase angles <strong>of</strong> uniform distribution and are independent <strong>of</strong>each other during ( 0 ,2π). G( ω k ) is a density function <strong>of</strong> the power spectrum, and isobtained by transformation <strong>of</strong> the mean response spectrum R(ω , ξ)with the powerspectrum G(ω ) .The acceleration time history a(t) is normalized using its maximum amplitudea max . The normalized nonstationary acceleration time history is as follows:amψ(t)a(t) =asmax(t)(5)So, the nonstationary acceleration time history is:a g (t) = Apam(t)(6)where, A p is a given peak ground acceleration.The artificial wave as mentioned above is obtained by transforming the meanresponse spectrum into the power spectrum. So the parameters <strong>of</strong> the earthquakemodel include the mean response spectrum, the duration <strong>of</strong> earthquake ground motionand the damping ratio. We take the standard response spectrum in the Chinese “Codefor seismic design <strong>of</strong> buildings” (GBJ11-89) as the mean response spectrum. Theformer is obtained by simply averaging a large number <strong>of</strong> strong earthquake412

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