Development of an Estimation Method for the Seismic Motion Reproducibility of a Three-dimensional Ground Structure Model by combining Surface-observed Seismic Motion and Three-dimensional Seismic Motion Analysis
<|reference_start|>Development of an Estimation Method for the Seismic Motion Reproducibility of a Three-dimensional Ground Structure Model by combining Surface-observed Seismic Motion and Three-dimensional Seismic Motion Analysis: The ground structure can substantially influence seismic ground motion underscoring the need to develop a ground structure model with sufficient reliability in terms of ground motion estimation for earthquake damage mitigation. While many methods for generating ground structure models have been proposed and used in practice, there remains room for enhancing their reliability. In this study, amid many candidate 3D ground structure models generated from geotechnical engineering knowledge, we propose a method for selecting a credible 3D ground structure model capable of reproducing observed earthquake ground motion, utilizing seismic ground motion data solely observed at the ground surface and employing 3D seismic ground motion analysis. Through a numerical experiment, we illustrate the efficacy of this approach. By conducting $10^2$-$10^3$ cases of fast 3D seismic wave propagation analyses using graphic processing units (GPUs), we demonstrate that a credible 3D ground structure model is selected according to the quantity of seismic motion information. We show the effectiveness of the proposed method by showing that the accuracy of seismic motions using ground structure models that were selected from the pool of candidate models is higher than that using ground structure models that were not selected from the pool of candidate models.<|reference_end|>
@article{ichimura2024development,
    title={Development of an Estimation Method for the Seismic Motion
  Reproducibility of a Three-dimensional Ground Structure Model by combining
  Surface-observed Seismic Motion and Three-dimensional Seismic Motion Analysis},
    author={Tsuyoshi Ichimura, Kohei Fujita, Ryota Kusakabe, Hiroyuki Fujiwara,
  Muneo Hori, Maddegedara Lalith},
    journal={ICCS 2024. ICCS 2024. Lecture Notes in Computer Science, vol
  14834. Springer, Cham},
    year={2024},
    doi={10.1007/978-3-031-63759-9_32},
    archivePrefix={arXiv},
    eprint={2404.17754},
    primaryClass={cs.CE}
}