TY - GEN
T1 - Predictive Equation for Estimating Lateral Deformation of GRS Abutments
AU - Khosrojerdi, Mahsa
AU - Xiao, Ming
AU - Qiu, Tong
AU - Nicks, Jennifer
N1 - Publisher Copyright:
© 2020 American Society of Civil Engineers.
PY - 2020
Y1 - 2020
N2 - The geosynthetic reinforced soil integrated bridge system (GRS-IBS), which consists of closely-spaced layers of geosynthetic reinforcement and compacted granular fill material, is a fast and cost-effective approach for bridge support that is increasingly being used. The in-service performance of this innovative bridge support system is largely evaluated through the deformations of the GRS abutments. This paper presents a predictive model for estimating the lateral deformation of GRS abutments under service loads. The parameters that are considered in the predictive model include abutment geometry (height, foundation width, facing batter), backfill friction angle, and reinforcement characteristics (stiffness, spacing, length), and applied static loads from 0 to 400 kPa. In order to develop this predictive equation, a comprehensive parametric study was conducted using a validated 3D finite difference numerical model. The results of the parametric study were used to derive the predictive equation using statistical analysis. The developed equation was validated using four case studies. Such a prediction model would be useful to practitioners in preliminary GRS abutment design.
AB - The geosynthetic reinforced soil integrated bridge system (GRS-IBS), which consists of closely-spaced layers of geosynthetic reinforcement and compacted granular fill material, is a fast and cost-effective approach for bridge support that is increasingly being used. The in-service performance of this innovative bridge support system is largely evaluated through the deformations of the GRS abutments. This paper presents a predictive model for estimating the lateral deformation of GRS abutments under service loads. The parameters that are considered in the predictive model include abutment geometry (height, foundation width, facing batter), backfill friction angle, and reinforcement characteristics (stiffness, spacing, length), and applied static loads from 0 to 400 kPa. In order to develop this predictive equation, a comprehensive parametric study was conducted using a validated 3D finite difference numerical model. The results of the parametric study were used to derive the predictive equation using statistical analysis. The developed equation was validated using four case studies. Such a prediction model would be useful to practitioners in preliminary GRS abutment design.
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U2 - 10.1061/9780784482797.046
DO - 10.1061/9780784482797.046
M3 - Conference contribution
AN - SCOPUS:85081965683
T3 - Geotechnical Special Publication
SP - 472
EP - 482
BT - Geotechnical Special Publication
A2 - Hambleton, James P.
A2 - Makhnenko, Roman
A2 - Budge, Aaron S.
PB - American Society of Civil Engineers (ASCE)
T2 - Geo-Congress 2020: Engineering, Monitoring, and Management of Geotechnical Infrastructure
Y2 - 25 February 2020 through 28 February 2020
ER -