This study presents an upper bound plastic limit analysis for predicting drag anchor trajectory and load capacity. The shank and fluke of the anchor are idealized as simple plates. The failure mechanism involves the motion of the anchor about a center of rotation, the coordinates of which are systematically optimized to determine the minimum load at the shackle. For a given anchor orientation, the direction of the shackle force is varied to establish a relationship between the magnitude and direction of the shackle load. Coupling this relationship to the Neubecker-Randolph anchor line solution produces a unique solution for the magnitude and orientation of the shackle force. The anchor is then advanced a small increment about the optimum center of rotation and the process is repeated. The upper bound method (UBM) provides a practical means to determine the trajectory of the anchor and the anchor load capacity at any point in the trajectory. To better understand of the anchor behavior, extensive parameter studies were carried out varying the properties of the anchor, anchor line, and soil. The UBM show good agreement with six full-scale tests covering several different anchor types and centrifuge model tests.

Thesis (M.S.)--University of Missouri-Columbia, 2003. / Typescript. Includes bibliographical references (leaves 110-113). Also available on the Internet.

Thesis (M.S.)--University of Missouri-Columbia, 2003. / Typescript. Includes bibliographical references (leaves 110-113). Also available on the Internet.

No description available.

In the first chapter “Impact of Quantitative Easing at the Zero Lower Bound (with J. Dorich, R. Mendes)”, we introduce imperfect asset substitution and segmented asset markets, along the lines of Andres et al. (2004), in an otherwise standard small open-economy model with nominal rigidities. We estimate the model using Canadian data. We use the model to provide a quantitative assessment of the macroeconomic impact of quantitative easing (QE) when the policy rate is at its effective lower bound. In the second chapter “Impact of Forward Guidance at the Zero Lower Bound”, I consider alternative monetary policy rules under commitment in a calibrated three-equation New Keynesian model and examine the extent to which forward guidance helps to mitigate the negative real impact of the zero lower bound. The simulation results suggest that the conditional statement policy prolongs the zero lower bound duration for an additional 4 quarters and reverses half of the decline in inflation associated with the lower bound. It even generates a period of overshooting in inflation three quarters after the initial negative demand shock. Alternatively, the effect of price-level targeting as a forward guidance policy at the zero lower bound is slightly different. In the third chapter “Impact of Quantitative Easing on Household Deleveraging”, I extend the DSGE model in the first chapter with some financial frictions to explore the effects of QE on asset prices and household balance sheet. There are two effects of QE on aggregate output originated from the model. First, QE leads to a decline in term premium, which increases current consumption relative to future consumption. Second, it leads to a lower loan to collateral value ratio and a decline in external finance premium. Favorable financing condition encourages further accumulation of household debt at cheaper rates, in turn, leads to an immediate higher household debt to income ratio. In the consideration of the future withdrawal of any stimulus provided from QE, this would pose greater challenges as it implies much intensive household deleveraging process. I provide some sensitivity analysis around key parameters of the model.

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Zugl.: Hamburg, Techn. Univ., Diss., 2006

Zugl.: Erlangen, Nürnberg, University, Diss., 2008.

Thesis (M.S.)--University of North Carolina Wilmington, 2008. / Title from PDF title page (viewed September 24, 2008) Includes bibliographical references (p. 46-47)