FUSED LASSO SOLUTIONS FOR PHYSICAL LOGGING DATA MODELING

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  • Fused lassoによる物理検層データの地盤構造モデル化

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<p> In conducting seismic response analysis of surface ground using the survey data obtained by suspension PS logging and/or density logging, it is general to construct a ground structure model for numerical analysis. Since this modeling is often based on empirical knowledge, it leaves scope for arbitrariness. Therefore, in this study, we tried to pursue an approach that models ground structures according to the objective methodology as much as possible. The method we focused is the fused lasso, which is a kind of the sparse modeling. The fused lasso is an optimization technique considering regularizations to uniformise the coefficients of adjacent explanatory variables. In this paper, the ground structure was modeled by applying the fused lasso to the physical logging data obtained in Mashiki-town, where is a disaster area of the 2016 Kumamoto earthquake, and made an appropriate model selection based on the temporary seismic observation data.</p>

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