On Pore Fluid Pressure and Effective Solid Stress in the Mixture Theory of Porous Media

2010 ◽  
pp. 19-28 ◽  
Author(s):  
I-Shih Liu
Keyword(s):  
Porous Media ◽  
Fluid Pressure ◽  
Mixture Theory ◽  
Pore Fluid ◽  
Pore Fluid Pressure ◽  
Theory Of Porous Media ◽  
Solid Stress

Modelling Sand Foundation Behaviour Underneath Caisson Breakwaters Subject to Breaking Wave Impact

2013 ◽  
Author(s):  
Hisham El Safti ◽  
Hocine Oumeraci
Keyword(s):  
Porous Media ◽  
Fluid Pressure ◽  
Model System ◽  
Pore Fluid ◽  
Constant Density ◽  
Pore Fluid Pressure ◽  
Wave Impact ◽  
Surface Plasticity ◽  
Caisson Breakwater ◽  
Fully Coupled

A one-way CFD-CSD coupled model system is presented to reproduce large scale experiments of a caisson breakwater, subject to wave attack. The Computational Structural Dynamics (CSD) model is developed using the finite volume method for the fully dynamic, fully coupled Biot equations. The fully coupled poro-mechanical analysis is handled in a segregated approach in which the skeleton displacement, the pore fluid pressure and the pore fluid velocity (relative to the skeleton) are decoupled at the iteration level. The pore fluid pressure-velocity coupling is resolved using the PISO (Pressure Implicit with Splitting of Operators) algorithm. Two simplifications to the porous media formulations were introduced: (1) neglecting convective acceleration of pore fluid and (2) fully neglecting acceleration of the pore fluid (the u-p approximation). A frictional contact model is implemented to model soil-structure interaction. A multi-surface plasticity model with the Drucker-Prager failure criterion is introduced to model the behavior of sand foundations under cyclic load posed by wave action on the caisson breakwater. An incompressible (constant density) multiphase Computational Fluid Dynamics (CFD) solver is developed for solving flow inside and outside porous media simultaneously using the principle of volume averaged velocity. A seepage model is implemented to model flow resistance of porous media that includes viscous, transitional, inertial and transient terms. An additional term is introduced to the fluid continuity equation to account for fluid mixture (water and air) compressibility (inverse of bulk modulus). The CFD-CSD model system is developed using the OpenFOAM® framework.

scholarly journals Correction to: Stress and pore fluid pressure control of seismicity rate changes following the 2016 Kumamoto earthquake, Japan

2021 ◽  
Vol 73 (1) ◽  
Author(s):  
Kodai Nakagomi ◽  
Toshiko Terakawa ◽  
Satoshi Matsumoto ◽  
Shinichiro Horikawa
Keyword(s):  
Fluid Pressure ◽  
Pressure Control ◽  
Pore Fluid ◽  
2016 Kumamoto Earthquake ◽  
Pore Fluid Pressure ◽  
Seismicity Rate ◽  
Kumamoto Earthquake ◽  
The 2016 Kumamoto Earthquake ◽  
Seismicity Rate Changes

An amendment to this paper has been published and can be accessed via the original article.

scholarly journals Fracture-induced pore fluid pressure weakening and dehydration of serpentinite

2019 ◽  
Vol 767 ◽  
pp. 228168 ◽  
Author(s):  
Melodie E French ◽  
Greg Hirth ◽  
Keishi Okazaki
Keyword(s):  
Fluid Pressure ◽  
Pore Fluid ◽  
Pore Fluid Pressure

scholarly journals Control of pore fluid pressure diffusion on fault failure mode: Insights from the 2009 L'Aquila seismic sequence

2012 ◽  
Vol 117 (B5) ◽  
pp. n/a-n/a ◽  
Author(s):  
Luca Malagnini ◽  
Francesco Pio Lucente ◽  
Pasquale De Gori ◽  
Aybige Akinci ◽  
Irene Munafo'
Keyword(s):  
Failure Mode ◽  
Fluid Pressure ◽  
Pore Fluid ◽  
Seismic Sequence ◽  
Pore Fluid Pressure ◽  
Pressure Diffusion

Connections between subducted sediment, pore-fluid pressure, and earthquake behavior along the Alaska megathrust

Geology ◽  
2018 ◽  
Vol 46 (4) ◽  
pp. 299-302 ◽  
Author(s):  
Jiyao Li ◽  
Donna J. Shillington ◽  
Demian M. Saffer ◽  
Anne Bécel ◽  
Mladen R. Nedimović ◽  
...  
Keyword(s):  
Fluid Pressure ◽  
Pore Fluid ◽  
Pore Fluid Pressure ◽  
Subducted Sediment

scholarly journals Effect of Density and Total Weight on Flow Depth, Velocity, and Stresses in Loess Debris Flows

Water ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 1784 ◽  
Author(s):  
Heping Shu ◽  
Jinzhu Ma ◽  
Haichao Yu ◽  
Marcel Hürlimann ◽  
Peng Zhang ◽  
...  
Keyword(s):  
Normal Stress ◽  
Debris Flows ◽  
High Speed ◽  
Goodness Of Fit ◽  
Flow Behavior ◽  
Fluid Pressure ◽  
Pore Fluid ◽  
Flow Depth ◽  
Pore Fluid Pressure ◽  
Mixture Density

Debris flows that involve loess material produce important damage around the world. However, the kinematics of such processes are poorly understood. To better understand these kinematics, we used a flume to measure the kinematics of debris flows with different mixture densities and weights. We used sensors to measure pore fluid pressure and total normal stress. We measured flow patterns, velocities, and depths using a high-speed camera and laser range finder to identify the temporal evolution of the flow behavior and the corresponding peaks. We constructed fitting functions for the relationships between the maximum values of the experimental parameters. The hydrographs of the debris flows could be divided into four phases: increase to a first minor peak, a subsequent smooth increase to a second peak, fluctuation until a third major peak, and a final continuous decrease. The flow depth, velocity, total normal stress, and pore fluid pressure were strongly related to the mixture density and total mixture weight. We defined the corresponding relationships between the flow parameters and mixture kinematics. Linear and exponential relationships described the maximum flow depth and the mixture weight and density, respectively. The flow velocity was linearly related to the weight and density. The pore fluid pressure and total normal stress were linearly related to the weight, but logarithmically related to the density. The regression goodness of fit for all functions was >0.93. Therefore, these functions are accurate and could be used to predict the consequences of loess debris flows. Our results provide an improved understanding of the effects of mixture density and weight on the kinematics of debris flows in loess areas, and can help landscape managers prevent and design improved engineering solutions.

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