Nonlinear Equation for Predicting the Settlement of Reinforced Soil Foundations

Mahsa Khosrojerdi, Ming Xiao, Tong Qiu, Jennifer Nicks

Research output: Contribution to journalArticle

Abstract

A reinforced soil foundation (RSF) consists of layers of geosynthetic reinforcement and compacted granular fill material. The RSF approach is a fast, sustainable, and economical alternative to shallow foundation design. This paper presents the development of a prediction equation for estimating the settlement of footings placed on reinforced soil. The parameters that are considered in the prediction equation include footing geometry (width and length), soil friction angle and cohesion, reinforcement characteristics (stiffness, spacing, length, and number of reinforcement layers), and applied static loads from 50 to 600 kPa. For the prediction equation development, a parametric study was first conducted using a validated finite difference numerical model. The results of the parametric study were then used to conduct a regression analysis to develop the prediction equation for estimating the maximum settlement of RSF. The equation was validated using three case studies. The developed prediction equation will be useful for practitioners in preliminary RSF design.

Original languageEnglish (US)
Article number04019013
JournalJournal of Geotechnical and Geoenvironmental Engineering
Volume145
Issue number5
DOIs
StatePublished - May 1 2019

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Nonlinear equations
Soils
reinforcement
prediction
Reinforcement
soil
footing
geosynthetics
cohesion
Regression analysis
stiffness
Numerical models
regression analysis
spacing
fill
friction
Stiffness
Friction
geometry
Geometry

All Science Journal Classification (ASJC) codes

  • Environmental Science(all)
  • Geotechnical Engineering and Engineering Geology

Cite this

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Nonlinear Equation for Predicting the Settlement of Reinforced Soil Foundations. / Khosrojerdi, Mahsa; Xiao, Ming; Qiu, Tong; Nicks, Jennifer.

In: Journal of Geotechnical and Geoenvironmental Engineering, Vol. 145, No. 5, 04019013, 01.05.2019.

Research output: Contribution to journalArticle

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