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http://dx.doi.org/10.7734/COSEIK.2021.34.4.221

Estimation of Shear-Wave Velocities of Layered Half-Space Using Full Waveform Inversion with Genetic Algorithm  

Lee, Jin Ho (Department of Ocean Engineering, Pukyong National University)
Lee, Se Hyeok (Department of Structural Engineering Research, Korea Institute of Civil Engineering and Building Technology)
Publication Information
Journal of the Computational Structural Engineering Institute of Korea / v.34, no.4, 2021 , pp. 221-230 More about this Journal
Abstract
This paper proposes full waveform inversion (FWI) for estimating the physical properties of a layered half-space. An FWI solution is obtained using a genetic algorithm (GA), which is a well-known global optimization approach. The dynamic responses of a layered half-space subjected to a harmonic vertical disk load are measured and compared with those calculated using the estimated physical properties. The responses are calculated using the thin-layer method, which is accurate and efficient for layered media. Subsequently, a numerical model is constructed for a layered half-space using mid-point integrated finite elements and perfectly matched discrete layers. An objective function of the global optimization problem is defined as the L2-norm of the difference between the observed and estimated responses. A GA is used to minimize the objective function and obtain a solution for the FWI. The accuracy of the proposed approach is applied to various problems involving layered half-spaces. The results verify that the proposed FWI based on a GA is suitable for estimating the material properties of a layered half-space, even when the measured responses include measurement noise.
Keywords
full waveform inversion; inverse problem; optimization; layered half-space; thin-layer method;
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