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Probabilistic Hyperbolic Models for Foundation Uplift Movements
There is a need to consider both ultimate limit state and serviceability limit state uniformly within the reliability-based design framework. However, it is more difficult to characterize uncertainties associated with the latter, because load-displacement curves are nonlinear functions that cannot be reduced to a single random variable. This paper demonstrates that a random vector containing two curve-fitting hyperbolic parameters is an adequate probabilistic model for uplift load-displacement curves associated with spread foundations, drilled shafts, and pressure-injected footings. A simple but general computational approach, based on Hermite polynomials, can be used to simulate these hyperbolic parameters, which typically are correlated and may not follow closed-form classical distributions.
Probabilistic Hyperbolic Models for Foundation Uplift Movements
There is a need to consider both ultimate limit state and serviceability limit state uniformly within the reliability-based design framework. However, it is more difficult to characterize uncertainties associated with the latter, because load-displacement curves are nonlinear functions that cannot be reduced to a single random variable. This paper demonstrates that a random vector containing two curve-fitting hyperbolic parameters is an adequate probabilistic model for uplift load-displacement curves associated with spread foundations, drilled shafts, and pressure-injected footings. A simple but general computational approach, based on Hermite polynomials, can be used to simulate these hyperbolic parameters, which typically are correlated and may not follow closed-form classical distributions.
Probabilistic Hyperbolic Models for Foundation Uplift Movements
Phoon, K. K. (author) / Chen, J.-R. (author) / Kulhawy, F. H. (author)
Geo-Denver 2007 ; 2007 ; Denver, Colorado, United States
2007-10-14
Conference paper
Electronic Resource
English
Probabilistic Hyperbolic Models for Foundation Uplift Movements
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