TY - JOUR
T1 - Rapid estimation of damage to tall buildings using near real-time earthquake and archived structural simulations
AU - Krishnan, Swaminathan
AU - Casarotti, Emanuele
AU - Goltz, Jim
AU - Ji, Chen
AU - Komatitsch, Dimitri
AU - Mourhatch, Ramses
AU - Muto, Matthew
AU - Shaw, John H.
AU - Tape, Carl
AU - Tromp, Jeroen
PY - 2012/12
Y1 - 2012/12
N2 - This article outlines a new approach to rapidly estimate the damage to tall buildings immediately following a large earthquake. The preevent groundwork involves the creation of a database of structural responses to a suite of idealized ground-motion waveforms. The postevent action involves (1) rapid generation of an earthquake source model, (2) near real-time simulation of the earthquake using a regional spectral-element model of the earth and computing synthetic seismograms at tall building sites, and (3) estimation of tall building response (and damage) by determining the best-fitting idealized waveforms to the synthetically generated ground motion at the site and directly extracting structural response metrics from the database. Here, ground-velocity waveforms are parameterized using sawtoothlike wave trains with a characteristic period (T), amplitude (peak ground velocity, PGV), and duration (number of cycles, N). The proof-of-concept is established using the case study of one tall building model. Nonlinear analyses are performed on the model subjected to the idealized wave trains, with T varying from 0.5 s to 6.0 s, PGV varying from 0:125 m/s, and N varying from 1 to 5. Databases of peak transient and residual interstory drift ratios (IDR), and permanent roof drift are created. We demonstrate the effectiveness of the rapid response approach by applying it to synthetic waveforms from a simulated 1857-like magnitude 7.9 San Andreas earthquake. The peak IDR, a key measure of structural performance, is predicted well enough for emergency response decision making.
AB - This article outlines a new approach to rapidly estimate the damage to tall buildings immediately following a large earthquake. The preevent groundwork involves the creation of a database of structural responses to a suite of idealized ground-motion waveforms. The postevent action involves (1) rapid generation of an earthquake source model, (2) near real-time simulation of the earthquake using a regional spectral-element model of the earth and computing synthetic seismograms at tall building sites, and (3) estimation of tall building response (and damage) by determining the best-fitting idealized waveforms to the synthetically generated ground motion at the site and directly extracting structural response metrics from the database. Here, ground-velocity waveforms are parameterized using sawtoothlike wave trains with a characteristic period (T), amplitude (peak ground velocity, PGV), and duration (number of cycles, N). The proof-of-concept is established using the case study of one tall building model. Nonlinear analyses are performed on the model subjected to the idealized wave trains, with T varying from 0.5 s to 6.0 s, PGV varying from 0:125 m/s, and N varying from 1 to 5. Databases of peak transient and residual interstory drift ratios (IDR), and permanent roof drift are created. We demonstrate the effectiveness of the rapid response approach by applying it to synthetic waveforms from a simulated 1857-like magnitude 7.9 San Andreas earthquake. The peak IDR, a key measure of structural performance, is predicted well enough for emergency response decision making.
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U2 - 10.1785/0120110339
DO - 10.1785/0120110339
M3 - Article
AN - SCOPUS:84870738508
SN - 0037-1106
VL - 102
SP - 2646
EP - 2666
JO - Bulletin of the Seismological Society of America
JF - Bulletin of the Seismological Society of America
IS - 6
ER -