Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Monte Carlo Simulation and Serviceability Resistance Factors for Micropile Pullout
Methods to calculate the pullout load-displacement behavior are important for the design of micropiles used for a variety of rehabilitation projects that require enhanced pullout capacity and vertical deflection control. The "t-z" method is a widely used soil-structure interaction model for such load-displacement behavior. Using a "t-z" model and the Monte Carlo simulation process, probability distributions were determined for micropile pullout capacity at the service limit state. These probability distributions were analyzed to develop methods for determining the probability of micropile failure at the service limit state. The developed methods were utilized to obtain resistance factors that can be applied to LRFD based service limit state design for micropile pullout. The probabilistic analysis presented in this paper is based upon production pullout load tests performed on approximately 120 micropiles used for seismic retrofitting of the 580/980/24 freeway interchange in Oakland, California, U.S.A. For this project, in addition to the ultimate design capacity, the micropiles were required to satisfy the serviceability design capacity at a maximum deflection of 0.5 in. (1.27cm).
Monte Carlo Simulation and Serviceability Resistance Factors for Micropile Pullout
Methods to calculate the pullout load-displacement behavior are important for the design of micropiles used for a variety of rehabilitation projects that require enhanced pullout capacity and vertical deflection control. The "t-z" method is a widely used soil-structure interaction model for such load-displacement behavior. Using a "t-z" model and the Monte Carlo simulation process, probability distributions were determined for micropile pullout capacity at the service limit state. These probability distributions were analyzed to develop methods for determining the probability of micropile failure at the service limit state. The developed methods were utilized to obtain resistance factors that can be applied to LRFD based service limit state design for micropile pullout. The probabilistic analysis presented in this paper is based upon production pullout load tests performed on approximately 120 micropiles used for seismic retrofitting of the 580/980/24 freeway interchange in Oakland, California, U.S.A. For this project, in addition to the ultimate design capacity, the micropiles were required to satisfy the serviceability design capacity at a maximum deflection of 0.5 in. (1.27cm).
Monte Carlo Simulation and Serviceability Resistance Factors for Micropile Pullout
Misra, Anil (Autor:in) / Roberts, Lance A. (Autor:in) / Oberoi, Raj (Autor:in) / Chen, C.-H. (Autor:in)
GeoCongress 2006 ; 2006 ; Atlanta, Georgia, United States
GeoCongress 2006 ; 1-6
21.02.2006
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Monte Carlo Simulation and Serviceability Resistance Factors for Micropile Pullout
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