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<br />2048 NOVEMBER 1973 HY11
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<br />aI., 1937(13); USWES,1935, 1936 (17,18); Murphy, 1914 (8); Brooks and Nomicos,
<br />1957(3); Stein, 1965 (16); Casey, 1935 (5); Barton and Lin, 1955 (2); and Haywood,
<br />1940 (10)]. In general, each data set represented a series of tests, (19 on the
<br />average) which were carried out with a single sediment over a range of transport
<br />rates. Certain USGS data (21,22) which consisted of 98 indIvidual measurements
<br />all with the same sediment size, were split into groups according to water
<br />temperature.
<br />The value of D gr is constant throughout a series of experiments with one
<br />size of sediment at constant temperature. Data/sets can therefore be considered
<br />separately. and Eq. 15 can be used to evaluate optimum values of C, A, m,
<br />and n for one particular D value. Consideration of results from all the data
<br />"
<br />sets then shows how these parameters vary with D gr'
<br />A computer program was written that obtained best-fit values of A, C, m,
<br />and n. All four coefficients were allowed to vary and the results were plotted.
<br />The relationships between A, n, and D gr were better defined than those between
<br />C, rn, and D" and are shown in Figs. 3(a) and 3(h). For thc transition, 1.0
<br />< Dgr:5 60
<br />
<br />n~ 1.00 - 0.56 log D" .
<br />
<br />0.23
<br />A= VD + 0,14. . .
<br />"
<br />
<br />(16)
<br />
<br />,.. ....,.. ............. (17)
<br />
<br />For coarse sediments, Dgr > 60
<br />n= 0.00 .
<br />A~ 0.17
<br />
<br />(18)
<br />(19)
<br />
<br />Next, valucs of n and A wcre inserled using Eqs. (16--19), and resultant
<br />best-fit values of C and m were determined and plotted against D gr' Of the
<br />two graphs, the variation of m with Dgr [Fig. 3(d)] showed the clearer trend
<br />
<br />9.66
<br />m~-+ 1.34
<br />D"
<br />
<br />Transition:
<br />
<br />(20)
<br />
<br />Coarse:
<br />
<br />m = 1.50 . . . . . .
<br />
<br />(21)
<br />
<br />In the final stage of optimization, best-fit values of
<br />the values of n, A, and m defined by the preceding
<br />are shown in Fig. 3(c). Thus
<br />
<br />Transition: log C = 2.86 log D" - (log D,,)' - 3.53
<br />
<br />Coarse: C = 0.025
<br />
<br />C were obtained using
<br />equations. The results
<br />
<br />(22)
<br />(23)
<br />
<br />ANALYSIS OF RESULTS
<br />
<br />Range of Transitional Sizes.- The limits of the transition zone were determined
<br />after the first optimization. A clear variation of n with D gr has been shown.
<br />The data confirms the anticipated trend, from n = 1.0 at a D g, of 1 to a value
<br />of n = 0.0 at a D /lr of 60. Particle sizes for sand in water at about 150 C
<br />corresponding to these limiting DRr values arc 0.04 mm and 2.5 mm, respectively.
<br />
<br />HYll
<br />
<br />SEDIMENT TRANSPORT
<br />
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<br />2049
<br />
<br />None of the flume data were in the fine range although some (12) were
<br />very close to the D = 1 limit. These indicated an n value of 1.0 and confirmed
<br />the hypothesis thatSthe movement of fine sediments is best described in terms
<br />of total bed shear. At the coarse end of the scale there is scatter in the flume
<br />data. Certain data for Dgr = 35 (20,21) gave an optimum n value that was
<br />less than 0 (i.e., negative), though with very little internal scatter. On the other
<br />hand, some data for D r ~ 100 produced unexpectedly high optimum values
<br />of n (8,13,18). There is ~ need for further investigation in this area.
<br />The data for lightweight materials (17) are remarkably consistent and show
<br />no systematic variations from the results of experiments with sand. Thus !he
<br />form of the D /I' parameter properly takes into account the effect of partIcle
<br />specific gravity.
<br />The lower limit of the transitional sizes, Dgr = 1, is very close to the point
<br />at which sediments exhibit cohesive properties and the laws of erosion and
<br />accretion arc far more complex. Thus, as far as the present theory is concerned,
<br />predictive equations for the fine range are meaningless and no attempt has
<br />been made to extend curves below a D sr value of 1.0. .
<br />Initial Motion of Sediment.-From Eq. 15, A represents the Fgr value at which
<br />transport of sediment begins. The present theory thus predicts initial movement
<br />criteria based on the analysis of experiments with established motion of sediment.
<br />Also shown in Fig. 3(b) is the usual version of the Shields curve (4), curves
<br />proposed by recent experimenters (9,19) and three individual results for coarse
<br />materials (14).
<br />In the range, 4 < D gr < 60, the results are comparable. At low~r D gr values,
<br />i.e., with finer sediments, the present work agrees more closely With the results
<br />presented by Grass (9), and lies midway between thc Shields (15) and White
<br />(19) data. At the coarse grain end of thc scale, the present results agree WIth
<br />Neill's findings (14) and cast further doubts upon the rise in the Shields curve
<br />in this region.
<br />Established Motion.- The variation of the exponent, m, with D gr is shown
<br />in Fig. 3(d). An exponent of 1.5 is indicated at the coarse end of the transitional
<br />zone and the curve rises with increasing steepness as particle size diminishes.
<br />Thus' for fine sediments the theory indicates very large changes in transport
<br />rates for small changes in shear, and this is consistent with the view that the
<br />transport of fine sediments traveling mainly as suspended load is very sensitive
<br />to stream power, a small increase in power rapidly bringing more layers of
<br />bed material into suspension.
<br />Fig. 3(c) shows the variation of the coefficient, C, withD". There is noticeably
<br />more scatter on this plot. The predictive equation in the coarse range is shown
<br />dOlled because of the scalier within the small amount of data available at the
<br />present time. This may be due to particle shape, sediment grading, Of possibly
<br />a Froude number effect, since most experimenters have had to work with steep
<br />slopes in order to produce significant rates of transport of coarse material.
<br />More data are required.
<br />The results for the lightweight materials follow the general trends and this
<br />has particular significance in hydraulic modeling.
<br />Correlation of Transport Rates.- The authenticity of the general function in
<br />providing a description of available laboratory scale data is demonstrated in
<br />Fig. 4(b). This compares predicted and observed velocities (mean velocities
<br />
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