کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
304331 512797 2013 21 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Site characterization using full waveform inversion
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات مهندسی ژئوتکنیک و زمین شناسی مهندسی
پیش نمایش صفحه اول مقاله
Site characterization using full waveform inversion
چکیده انگلیسی

We discuss recent progress in the full-waveform-based imaging of probed soils, with geotechnical site characterization applications in mind. The primary goal is the reconstruction of the material profile of near-surface, arbitrarily heterogeneous formations, in terms of the formation's spatially distributed elastic properties, using elastic waves as the probing agent.We describe first the formulation and numerical resolution of the underlying time-dependent inverse medium problem; we report briefly on numerical experiments using synthetic data and artificial target soil profiles. These demonstrate robust reconstruction. We then report extensively on the details of a field experiment, whose records we subsequently used to drive the inversion algorithms in order to characterize the site where the field experiment took place. Lastly, we compare the inverted site profile with profiles obtained using the Spectral-Analysis-of-Surface-Waves (SASW) method, in an attempt to compare our methodology against a widely used concurrent inversion approach. We also compare the inverted profile at select locations with the results of independently performed CPT tests.Overall, whether exercised by synthetic or by physical data, the full waveform inversion method we discuss herein appears quite promising for the robust subsurface imaging of near-surface deposits in support of geotechnical site characterization investigations.


► Imaging of highly heterogeneous sites using full waveform inversion.
► Simultaneous reconstruction of compressional and shear wave profiles.
► State-of-the-art wave simulation tools with PMLs for site modeling.
► PDE-constrained optimization approach for the imaging problem.
► Field experiments well coupled with algorithmic engine.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Soil Dynamics and Earthquake Engineering - Volume 47, April 2013, Pages 62–82
نویسندگان
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