Field Observation and Analysis of Wave-Induced Liquefaction in Seabed

Zen, Kouki; Yamazaki, H.

doi:10.3208/sandf1972.31.4_161

Cited by 82 publications

(32 citation statements)

References 4 publications

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“…This equation is valid if the entrapped air is in a bubble state in the pore water and the coefficient of permeability is approximately the same as that of the saturated clay (Zen, 1993). Considering the method of specimen preparation, the air in the SGM used here exists separately and does not pass through the specimen.…”

Section: Permeability Testsmentioning

confidence: 93%

Investigation of Engineering Properties of Man‐made Composite Geo‐materials with Micro‐focus X‐ray CT

Kikuchi

2006

Advances in X‐ray Tomography for Geomaterials

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Section: Permeability Testsmentioning

confidence: 93%

Investigation of Engineering Properties of Man‐made Composite Geo‐materials with Micro‐focus X‐ray CT

Kikuchi

2006

Advances in X‐ray Tomography for Geomaterials

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“…Field measurements of wave induced pore water pressure fluctuations have been conducted for silty clay in the Mississippi Delta [2,3], for silty sand in Shimizu Harbor, Japan [24][25][26], and other coastal locations in Japan [20,52]. They concluded that pore water pressure fluctuations in the seabed due to short period waves are significant and are affected by the soil permeability and deformability, and wave-induced liquefaction is related to the upward seepage flow induced in the sea bed during the passage of wave troughs [16].…”

Section: Previous Work On Wave-seabed Interactionsmentioning

confidence: 99%

Liquefaction potential of coastal slopes induced by solitary waves

et al. 2009

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Tsunami runup and drawdown can cause liquefaction failure of coastal fine sand slopes due to the generation of high excess pore pressure and the reduction of the effective over burden pressure during the drawdown. The region immediately seaward of the initial shoreline is the most susceptible to tsunami-induced liquefaction failure because the water level drops significantly below the still water level during the set down phase of the drawdown. The objective of this work is to develop and validate a numerical model to assess the potential for tsunamiinduced liquefaction failure of coastal sandy slopes. The transient pressure distribution acting on the slope due to wave runup and drawdown is computed by solving for the hybrid Boussinesq-nonlinear shallow water equations using a finite volume method. The subsurface pore water pressure and deformation fields are solved simultaneously using a finite element method. Two different soil constitutive models have been examined: a linear elastic model and a non-associative Mohr-Coulomb model. The numerical methods are validated by comparing the results with analytical models, and with experimental measurements from a large-scale laboratory study of breaking solitary waves over a planar fine sand beach. Good comparisons were observed from both the analytical and experimental validation studies. Numerical case studies are shown for a full-scale simulation of a 10-m solitary wave over a 1:15 and 1:5 sloped fine sand beach. The results show that the soil near the bed surface, particularly along the seepage face, is at risk to liquefaction failure. The depth of the seepage face increases and the width of the seepage face decreases with increasing bed slope. The rate of bed surface loading and unloading due to wave runup and drawdown, respectively, also increases with increasing bed slope. Consequently, the case with the steeper slope is more susceptible to liquefaction failure due to the higher hydraulic gradient. The analysis also suggests that the results are strongly influenced by the soil permeability and relative compressibility between the pore fluid and solid skeleton, and that a coupled solid/fluid formulation is needed for the soil solver. Finally, the results show the drawdown pore pressure response is strongly influenced by nonlinear material behavior for the full-scale simulation.

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“…He concluded that liquefaction potential increases in degree of saturation and with an increase of wave period. Jeng [17] examined wave-induced liquefied state for several different cases, together with Zen and Yamazaki's [18] field data. He found that no liquefaction occurs in a saturated seabed, except in very shallow water, for large waves and a seabed with very low permeability.…”

Section: Wave-induced Seabed Liquefactionmentioning

confidence: 99%

A Neural-Genetic Technique for Coastal Engineering: Determining Wave-induced Seabed Liquefaction Depth

Fred

Blumenstein

Zhang

et al. 2008

Engineering Evolutionary Intelligent Systems

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In the past decade, computational intelligence (CI) technologies have been widely adopted in various fields such as business, science and engineering, as well as information technology. Specifically, hybrid techniques using artificial neural networks (ANNs) and genetic algorithms (GAs) are becoming an important alternative for solving problems in the field of engineering in comparison to traditional solutions, which ordinarily use complicated mathematical theories. The wave-induced seabed liquefaction problem is one of most critical issues for analysing and designing marine structures such as caissons, oil platforms and harbours. In the past, various investigations into wave-induced seabed liquefaction have been carried out including numerical models, analytical solutions and some laboratory experiments. However, most previous studies are based on complicated mathematical theories. In this study, the proposed a neural-genetic model will be applied to wave-induced liquefaction, provide a better prediction of liquefaction potential. The ANN+GA simulation results illustrate the applicability of a hybrid, neural-genetic technique for the accurate prediction of wave-induced liquefaction depth, which can also provide coastal engineers with alternative tools to analyse the stability of marine sediments.

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Field Observation and Analysis of Wave-Induced Liquefaction in Seabed

Cited by 82 publications

References 4 publications

Investigation of Engineering Properties of Man‐made Composite Geo‐materials with Micro‐focus X‐ray CT

Investigation of Engineering Properties of Man‐made Composite Geo‐materials with Micro‐focus X‐ray CT

Liquefaction potential of coastal slopes induced by solitary waves

A Neural-Genetic Technique for Coastal Engineering: Determining Wave-induced Seabed Liquefaction Depth

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