Skip to main content

Currently Skimming:


Pages 37-44

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 37...
... The scour hole is assumed to have the idealized geometry of an inverted frustum of a C H A P T E R 5 Local Scour Evolution Predictive Methods
From page 38...
... = shear velocity T = transport-stage parameter T s = dimensionless time = kinematic viscosity 37 Table 12. Equations/methods for estimating local scour depth evolution with time.
From page 39...
... The effective shear stress in the scour hole, used in the sediment transport equation, is a function of the normalized scour depth (scour depth/equilibrium scour depth) and the structure, flow, and sediment parameters.
From page 40...
... y tst 0.05∝ , ( ) 28 Initial Screening of Scour Evolution Predictive Methods An initial assessment of the selected scour evolution equations was performed to see if any of the methods yielded results that were clearly unreasonable.
From page 41...
... , because they are very large. The computed scour evolution errors include the differences between the equilibrium scour depth that each experiment would achieve and the predicted value using the S/M equation, as well as the errors for the scour rate.
From page 42...
... Underprediction versus total normalized scour evolution error for wide piers (defined as y1/a < 0.5 and a/D50 > 100)
From page 43...
... Underprediction versus total scour evolution error for wide piers (defined as y1/a < 0.5 and a/D50 > 100)
From page 44...
... Time to 50%, 75%, and 90% of equilibrium scour versus flow velocity for 0.4, 1.0, and 3.0 mm sediment diameters.


This material may be derived from roughly machine-read images, and so is provided only to facilitate research.
More information on Chapter Skim is available.