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Generation of Spatially Varying Ground Motion Based on Response Spectrum using Artificial Neural Networks

Journal Name:

  • International Journal of Science and Engineering Investigations

Publication Year:

  • 2015

Key Words:

Author NameUniversity of Author
Abstract (2. Language): 
During an earthquake, the motion of the ground spatially changes, in both amplitude and phase. The spatial variation of seismic ground motions has an important effect on the response of large structures such as bridges and dams. To be able to simulate seismic ground motions which vary in space, a representing spatial variability model is required. Data collected from closely spaced arrays of seismographs such as SMART-1 array in Loting, Taiwan have enabled researchers to produce useful spatial variability models to model spatial excitation. In this paper a simulation technique for the generation of artificial spatially variable seismic ground motions was presented using Arterial Neural Networks (ANNs). A simplified neural network based procedure was used to generate artificial spatial varying accelerograms from the response spectrum of an earthquake.
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REFERENCES

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