Baseline correction of accelerograms

Abaqus/Standard offers baseline correction of acceleration records for a time domain analysis.

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In Other Guides
Amplitude Curves

ProductsAbaqus/Standard

When an amplitude definition is used to define an acceleration history in the time domain, the integration of the acceleration record through time may result in a relatively large displacement at the end of the event. The baseline correction method, proposed by Newmark (1973), allows an acceleration history to be modified to minimize the overall drift of the displacement obtained from the time integration of the given acceleration.

An acceleration correction, a0(t), is added to the raw data record, a(t), to produce a corrected acceleration record, ac(t)=a+a0, such that the mean square velocity over the time of the event is minimized. The acceleration correction is parabolic over any number of time intervals during the event:

a0(t)=C1+C2(t-T1T2)+C3(t-T1T2)2,        T1<t<T2,

where T1,T2 denote the limits of a time interval and Ck, k=1,2,3, are constants obtained from the velocity minimization:

CkT1T2[vc(t)]2dt=0,

where vc(t) is the corrected velocity record obtained by integrating the corrected acceleration record, ac(t).

It can be shown that the Ck are defined for each time interval by

{C1C2C3}=[-300.900.-630.1800./ξ-5760./ξ4200./ξ-1890./ξ26300./ξ2-4725./ξ2]{A1+(vc(T1)-v(T1))/(2ΔT)A2+(vc(T1)-v(T1))/(3ΔT)A3+(vc(T1)-v(T1))/(4ΔT)},

where ξ=ΔT/T2; ΔT=T2-T1; and A1, A2, and A3 are defined as

A1=1(ΔT)30ΔTv(τ+T1)τdτ,A2=1(ΔT)40ΔTv(τ+T1)τ2dτ,A3=1(ΔT)50ΔTv(τ+T1)τ3dτ.

Here v(t) denotes the uncorrected velocity record obtained by integration of the uncorrected acceleration record, a(t). These velocities are obtained by assuming the uncorrected and the corrected acceleration vary linearly over each time increment of the original acceleration history. This is not exact for the corrected acceleration record (because of the parabolic variation of the correction in time), but it is assumed that the acceleration history is discretized at sufficiently small time increments so that this is an insignificant error.