548 research outputs found
Slope Instability of the Earthen Levee in Boston, UK: Numerical Simulation and Sensor Data Analysis
The paper presents a slope stability analysis for a heterogeneous earthen
levee in Boston, UK, which is prone to occasional slope failures under tidal
loads. Dynamic behavior of the levee under tidal fluctuations was simulated
using a finite element model of variably saturated linear elastic perfectly
plastic soil. Hydraulic conductivities of the soil strata have been calibrated
according to piezometers readings, in order to obtain correct range of
hydraulic loads in tidal mode. Finite element simulation was complemented with
series of limit equilibrium analyses. Stability analyses have shown that slope
failure occurs with the development of a circular slip surface located in the
soft clay layer. Both models (FEM and LEM) confirm that the least stable
hydraulic condition is the combination of the minimum river levels at low tide
with the maximal saturation of soil layers. FEM results indicate that in winter
time the levee is almost at its limit state, at the margin of safety (strength
reduction factor values are 1.03 and 1.04 for the low-tide and high-tide
phases, respectively); these results agree with real-life observations. The
stability analyses have been implemented as real-time components integrated
into the UrbanFlood early warning system for flood protection
Equilibrium spherically curved 2D Lennard-Jones systems
To learn about basic aspects of nano-scale spherical molecular shells during
their formation, spherically curved two-dimensional N-particle Lennard-Jones
systems are simulated, studying curvature evolution paths at zero-temperature.
For many N-values (N<800) equilibrium configurations are traced as a function
of the curvature radius R. Sharp jumps for tiny changes in R between
trajectories with major differences in topological structure correspond to
avalanche-like transitions. For a typical case, N=25, equilibrium
configurations fall on smooth trajectories in state space which can be traced
in the E-R plane. The trajectories show-up with local energy minima, from which
growth in N at steady curvature can develop.Comment: 10 pages, 2 figures, to be published in Journal of Chemical Physic
Reducing cross-flow vibrations of underflow gates: experiments and numerical studies
An experimental study is combined with numerical modelling to investigate new
ways to reduce cross-flow vibrations of hydraulic gates with underflow. A
rectangular gate section placed in a flume was given freedom to vibrate in the
vertical direction. Holes in the gate bottom enabled leakage flow through the
gate to enter the area directly under the gate which is known to play a key
role in most excitation mechanisms. For submerged discharge conditions with
small gate openings the vertical dynamic support force was measured in the
reduced velocity range 1.5 < Vr < 10.5 for a gate with and without holes. The
leakage flow through the holes significantly reduced vibrations. This
attenuation was most profound in the high stiffness region at 2 < Vr < 3.5.
Two-dimensional numerical simulations were performed with the Finite Element
Method to assess local velocities and pressures for both gate types. A moving
mesh covering both solid and fluid domain allowed free gate movement and
two-way fluid-structure interactions. Modelling assumptions and observed
numerical effects are discussed and quantified. The simulated added mass in
still water is shown to be close to experimental values. The spring stiffness
and mass factor were varied to achieve similar response frequencies at the same
dry natural frequencies as in the experiment. Although it was not possible to
reproduce the vibrations dominated by impinging leading edge vortices (ILEV) at
relatively low Vr, the simulations at high Vr showed strong vibrations with
movement-induced excitation (MIE). For the latter case, the simulated response
reduction of the ventilated gate agrees with the experimental results. The
numerical modelling results suggest that the leakage flow diminishes the
whipping effect of fluctuations at the trailing edge associated with the
streamwise pressure drop across the gate and the body's vertical oscillatory
motion.Comment: 27 pages, 15 figures, 2 table
Evolutionary Design of Numerical Methods: Generating Finite Difference and Integration Schemes by Differential Evolution
Classical and new numerical schemes are generated using evolutionary
computing. Differential Evolution is used to find the coefficients of finite
difference approximations of function derivatives, and of single and multi-step
integration methods. The coefficients are reverse engineered based on samples
from a target function and its derivative used for training. The Runge-Kutta
schemes are trained using the order condition equations. An appealing feature
of the evolutionary method is the low number of model parameters. The
population size, termination criterion and number of training points are
determined in a sensitivity analysis. Computational results show good agreement
between evolved and analytical coefficients. In particular, a new fifth-order
Runge-Kutta scheme is computed which adheres to the order conditions with a sum
of absolute errors of order 10^-14. Execution of the evolved schemes proved the
intended orders of accuracy. The outcome of this study is valuable for future
developments in the design of complex numerical methods that are out of reach
by conventional means.Comment: 19 pages, 7 figures, 10 tables, 4 appendice
- …