Abstract

There is an established fact known that, there is a relation between the p-y resistance of piles and liquefaction formation. To investigate this fact, a single pile foundation in liquefiable soils composed of liquefiable sand and overlying soft clay was subjected to sinusoidal shaking motions will be tested. That is the basic purpose of this study was to analyze and construct a p-y curve of liquefied soil under different shaking loading conditions companied with the effects of several key design parameters were undertaken to understand the effect of pile characteristic and pore water pressure response in the zones of responding area.

Highlights

  • All the accumulate damaged on the pile foundations was caused by soil liquefaction during earthquakes (Abdoun and Dobry, 2002; Boulanger et al, 1999)

  • Trial prediction to address the p and y behavior had been done by Kagawa et al (1994), Tokimatsu and Asaka (1998), Cubrinovski et al (2006), Chen et al (2007) and Yuan et al (2010)

  • These trial prediction was helpful by giving results which made other researchers to find the explanation of pore pressure response influences around a pile and its effect on dynamic p-y behavior, this study will be focused on p-y curves at various levels of pore water pressure ratio under different shaking loading magnitude and shaping

Read more

Summary

INTRODUCTION

All the accumulate damaged on the pile foundations was caused by soil liquefaction during earthquakes (Abdoun and Dobry, 2002; Boulanger et al, 1999). A simplified numerical modeling of this theory, known as u-p formulation, was implemented to simulate dynamic response of soil-pile interaction in lateral spreading sand stratums and is expressed in the following matrix form (Chen et al, 1998):. The solid-fluid fully coupled 3D 20-8 node elements (brickUP) are used to model the saturated soil (Parra, 1996; Yang and Elgamal, 2004; Elgamal et al, 2002, 2003; Yang et al, 2003) This element is a hexahedral linear isoparametric one with dependent excess pore pressure based on the Biot’s theory of porous materials, where twenty nodes represent the solid translational degrees of freedom, with the eight-corner nodes describing the fluid pressure (Lu, 2006).

RESULTS AND INTERPRETATION
Pressure dependence coefficient np
Soil surface
Peak value Curve fit line
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call