2021
DOI: 10.1061/(asce)gt.1943-5606.0002426
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Depth-Dependent Seabed Properties: Geoacoustic Assessment

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Cited by 27 publications
(28 citation statements)
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“…( 7) can be written in terms of the horizontal effective stress σ 0 m ¼ σ 0 h . The power law relation between V s and effective stress σ 0 is confirmed in all cases once the effective stress is computed by integrating density profiles with depth (see the algorithm in Lyu et al 2021).…”
Section: Results-prevalent Trendsmentioning
confidence: 59%
See 1 more Smart Citation
“…( 7) can be written in terms of the horizontal effective stress σ 0 m ¼ σ 0 h . The power law relation between V s and effective stress σ 0 is confirmed in all cases once the effective stress is computed by integrating density profiles with depth (see the algorithm in Lyu et al 2021).…”
Section: Results-prevalent Trendsmentioning
confidence: 59%
“…The model parameter η reflects the void ratio sensitivity to changes in effective stress. Previous studies compiled depth-dependent and stress-dependent void ratio data for fine-to coarse-grained sediments and confirmed that a single value η ≈ 1=3 adequately fits all trends [examples: hydrate pore habits in Terzariol et al (2020), microbial cell counts in deep sedimentary basins in Park and Santamarina (2020), and geoacoustic properties in Lyu et al (2021)].…”
Section: Asymptotic Void Ratio and Compressibility-cautionmentioning
confidence: 76%
“…Therefore, this study uses an asymptotically correct exponential compressibility model to fit the evolution of void ratio e as a function of vertical effective stress σ ′ z [ 28 ]: where σ ′ c is the characteristic effective stress, and η is a model parameter. We test different values of model parameter η and select η = 1/3 that result in the best prediction (see related implications in [ 38 , 39 , 40 ]). There is a distinct difference in the constitutive model parameters across the three specimens tested in this study (fine-grained soil passing through Sieve No.…”
Section: Resultsmentioning
confidence: 99%
“…In the past, this has often been limited to spatial alignments and interpolations in which vertical strata and/or spatial variations are derived from the geophysical data, and are related to geotechnical data from in situ testing and core sample testing at specific locations. Data fusion between geotechnical and geophysical data will likely be moved into a more quantitative fusion using the most recent efforts of connecting geotechnical seabed properties and geoacoustical seabed properties through geoacoustic theory and empirical correlations [95,96]. So far, this effort has been hampered by data availability and quality, as well as by differences in resolution and computing capabilities.…”
Section: Geotechnical and Geophysical Soil Characterizationmentioning
confidence: 99%