TY - JOUR
T1 - Prediction Model for Estimating the Immediate Settlement of Foundations Placed on Reinforced Soil
AU - Khosrojerdi, Mahsa
AU - Xiao, Ming
AU - Qiu, Tong
AU - Nicks, Jennifer
N1 - Funding Information:
Support of this study is provided by the Federal Highway Administration (FHWA) under Contract No. DTFH6114C00012. This support is gratefully acknowledged. The authors thank Mike Adams of the FHWA who provided valuable input in the research. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and not necessarily the views of the FHWA.
Publisher Copyright:
© 2018 American Society of Civil Engineers (ASCE).All Rights Reserved.
PY - 2018
Y1 - 2018
N2 - A reinforced soil foundation (RSF) consists of closely-spaced layers of geosynthetic reinforcement and compacted granular fill material used to support bridge piers and abutments. The RSF approach is a fast and economical alternative to traditional shallow foundations. This paper presents a prediction model for estimating settlement of a footing placed on an RSF under service loads. The parameters that are considered in the prediction model include footing geometry (width and length), soil friction angle and cohesion, reinforcement characteristics (stiffness, spacing, and length), and applied static loads from 50 to 600 kPa. In order to develop this prediction model, a parametric study was conducted using a validated finite difference numerical model. The results of the parametric study were used to conduct a regression analysis to derive a prediction model for estimating the maximum settlement of foundation placed on reinforced soil. Such a prediction model will be useful for practitioners in preliminary RSF design.
AB - A reinforced soil foundation (RSF) consists of closely-spaced layers of geosynthetic reinforcement and compacted granular fill material used to support bridge piers and abutments. The RSF approach is a fast and economical alternative to traditional shallow foundations. This paper presents a prediction model for estimating settlement of a footing placed on an RSF under service loads. The parameters that are considered in the prediction model include footing geometry (width and length), soil friction angle and cohesion, reinforcement characteristics (stiffness, spacing, and length), and applied static loads from 50 to 600 kPa. In order to develop this prediction model, a parametric study was conducted using a validated finite difference numerical model. The results of the parametric study were used to conduct a regression analysis to derive a prediction model for estimating the maximum settlement of foundation placed on reinforced soil. Such a prediction model will be useful for practitioners in preliminary RSF design.
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U2 - 10.1061/9780784481608.011
DO - 10.1061/9780784481608.011
M3 - Conference article
AN - SCOPUS:85048935551
VL - 2018-March
SP - 109
EP - 118
JO - Geotechnical Special Publication
JF - Geotechnical Special Publication
SN - 0895-0563
IS - GSP 297
T2 - 3rd International Foundation Congress and Equipment Expo 2018: Developments in Earth Retention, Support Systems, and Tunneling, IFCEE 2018
Y2 - 5 March 2018 through 10 March 2018
ER -