282,803 research outputs found
Depth from relative normal flows
Most of the depth from image flow algorithms has to rely on either good initial guesses, or some assumptions about the object surfaces to achieve solutions that agree with the physical world. Waxman and Sinha point out that those restrictions can be relaxed if depth is computed from a relative image flow field. Since image flow determination is relatively much more difficult than normal flow determination, it is of interest to develop an algorithm to recover depth from normal flows. In this paper, we have shown that similar results can be obtained from relative normal flow fields as from relative image flow fields. We have implemented a normal flow estimation algorithm, and applied our algorithm to recover depth from intensity images.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/28932/1/0000769.pd
On the relative proof complexity of deep inference via atomic flows
We consider the proof complexity of the minimal complete fragment, KS, of
standard deep inference systems for propositional logic. To examine the size of
proofs we employ atomic flows, diagrams that trace structural changes through a
proof but ignore logical information. As results we obtain a polynomial
simulation of versions of Resolution, along with some extensions. We also show
that these systems, as well as bounded-depth Frege systems, cannot polynomially
simulate KS, by giving polynomial-size proofs of certain variants of the
propositional pigeonhole principle in KS.Comment: 27 pages, 2 figures, full version of conference pape
Friction dependence of shallow granular flows from discrete particle simulations
A shallow-layer model for granular flows is completed with a closure relation for the macroscopic bed friction or basal roughness obtained from micro-scale discrete particle simulations of steady flows. We systematically vary the bed friction by changing the contact friction coefficient between basal and flowing particles, while the base remains geometrically rough. By simulating steady uniform flow over a wide parameter range, we obtain a friction law that is a function of both flow and bed variables. Surprisingly, we find that the macroscopic bed friction is only weakly dependent on the contact friction of bed particles and predominantly determined by the properties of the flowing particles
Evaluation of the utility of sediment data in NASQAN (National Stream Quality Accounting Network)
Monthly suspended sediment discharge measurements, made by the USGS as part of the National Stream Quality Accounting Network (NASQAN), are analysed to assess the adequacy in terms of spatial coverage, temporal sampling frequency, accuracy of measurements, as well as in determining the sediment yield in the nation's rivers.
It is concluded that the spatial distribution of NASQAN stations is reasonable but necessarily judgemental. The temporal variations of sediment data contain much higher frequencies than monthly. Sampling error is found to be minor when compared with other causes of data scatter which can be substantial. The usefulness of the monthly measurements of sediment transport is enhanced when combined with the daily measurements of water discharge. Increasing the sampling frequency moderately would not materially improve the accuracy of sediment yield determinations
A weakly non-hydrostatic shallow model for dry granular flows
A non-hydrostatic depth-averaged model for dry granular flows is proposed,
taking into account vertical acceleration. A variable friction coefficient
based on the rheology is considered. The model is obtained from an
asymptotic analysis in a local reference system, where the non-hydrostatic
contribution is supposed to be small compared to the hydrostatic one. The
non-hydrostatic counterpart of the pressure may be written as the sum of two
terms: one corresponding to the stress tensor and the other to the vertical
acceleration. The model introduced here is weakly non-hydrostatic, in the sense
that the non-hydrostatic contribution related to the stress tensor is not taken
into account due to its complex implementation. A simple and efficient
numerical scheme is proposed. It consists of a three-step splitting procedure,
and it is based on a hydrostatic reconstruction. Two key points are: (i) the
friction force has to be taken into account before solving the non-hydrostatic
pressure. Otherwise, the incompressibility condition is not ensured; (ii) both
the hydrostatic and the non-hydrostatic pressure are taken into account when
dealing with the friction force. The model and numerical scheme are then
validated based on several numerical tests, including laboratory experiments of
granular collapse. The influence of non-hydrostatic terms and of the choice of
the coordinate system (Cartesian or local) is analyzed. We show that
non-hydrostatic models are less sensitive to the choice of the coordinate
system. In general, the non-hydrostatic model introduced here much better
reproduces granular collapse experiments compared to hydrostatic models. An
important result is that the simulated mass profiles up to the deposit and the
front velocity are greatly improved. As expected, the influence of the
non-hydrostatic pressure is shown to be larger for small values of the slope
Longitudinal flow evolution and turbulence structure of dynamically similar, sustained, saline density and turbidity currents
Experimental results are presented concerning flow evolution and turbulence structure of sustained saline and turbidity flows generated on 0°, 3°, 6°, and 9° sloping ramps that terminate abruptly onto a horizontal floor. Two-component velocity and current density were measured with an ultrasonic Doppler velocity profiler and siphon sampler on the slope, just beyond the slope break and downstream on the horizontal floor. Three main factors influence longitudinal flow evolution and turbulence structure: sediment transport and sedimentation, slope angle, and the presence of a slope break. These controls interact differently depending on flow type. Sediment transport is accompanied by an inertial fluid reaction that enhances Reynolds stresses in turbidity flows. Thus turbidity flows mix more vigorously than equivalent saline density flows. For saline flows, turbulent kinetic energy is dependent on slope, and rapid deceleration occurs on the horizontal floor. For turbidity flows, normalized turbulent kinetic energy increases downstream, and mean streamwise deceleration is reduced compared with saline flows. The slope break causes mean bed-normal velocity of turbidity flows to become negative and have a gentler gradient compared with other locations. A reduction of peak Reynolds normal stress in the bed-normal direction is accompanied by an increase in turbulent accelerations across the rest of the flow thickness. Thus the presence of particles acts to increase Reynolds normal stresses independently of gradients of mean velocity, and sediment transport increases across the break in slope. The experiments illustrate that saline density currents may not be good dynamic analogues for natural turbidity currents
- …