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Non-layering modes for purely kinetic model

Results and discussions

4.3 Non-layering modes for purely kinetic model

4.3.1 Results for asymptotic stability analysis

The asymptotic analysis of non-layering modes at large time will be conducted in this subsection. According to the paper (cf. p.276 of the A&N 1997), which points out those results of asymptotic variation of non-layering modes (cf. p.271 of Schmid & Kytomaa 1994) are incorrect.

Since the paper (Schmid & Kytomaa 1994) used the process of the dominance balance is not correct, we will use the same process of the dominance balance proposed by the A&N (1997) to obtain the asymptotic solutions of non-layering modes at large time. The asymptotic solutions ofν~,u~, v~

andT~

at t→∞ are shown as follows:

ekt

~~

ν , (4-15)

( )

t e kt

u~~ 1 , (4-16)

( )

t e kt v ~ 1

~ , (4-17)

and

( )

t e kt

T~~ 1 2

, (4-18)

where 0

2 0

0 0 3 >

= +

μ λ

ν

k A . Those parameters A , 3 λ0 and μ0 are defined in Chapter 2.

Accordingly, we can observe that the asymptotic variations ofν~,u~ and v~ with time at t→∞ are similar to those of νˆ, uˆ and υˆ (cf. 276 of the A&N 1997), respectively. Although the result of asymptotic variation of T~

Eq. (4-18) is different from that of the paper (cf. 276 of the A&N 1997).

However, all the results for the asymptotic temporal evolution of non-layering modes at t→∞ are similar that unbounded dense granular shear flows are asymptotically stable to arbitrary disturbances of non-zero streamwise wavenumber at large time.

4.3.2 Results for transient stability analysis

We show the initial transient growth rate Ωi of Figure 4-15 in the

(

k ,x ky

)

plane for four cases of e : (a) 0.2; (b) 0.5; (c) 0.8; (d) 0.9. Figure 4-15 illustrates that the value of g Ωi approaches to minimum as the initial streamwise wavenumber k equals to the initial transversal wavenumber x

k . This result is similar to the papers (cf. p.265 of Schmid & Kytomaa 1994; p.287 of the A&N y

1997). This phenomenon represents that as the initial disturbance wave vector starts with 45°

(

kx=ky

)

, the disturbance can possess the least initial transient growth rate Ωi. Then we can observe Figure 4-15 which shows that the contour values of Ωi are symmetric with the line of

y

x k

k = . As shown in Figure 4-15, we find the larger value of e can induce the larger contour g value of Ωi by comparing with Figure 4-15 (d) and (a). Next, we present an additional figure which can illustrate the effect of ν0 on Ωi. Figure 4-16 displays the contours of Ωi in the

(

ν0,ky

)

plane for given value of kx =0.5. Figure 4-16 is divided into four cases of e which are g the same as those of Figure 4-15. At given value of kx =0.1 of Figure 4-17, other parameters are set identical with those of Figure 4-16. According to the results of Figure 4-15, we can observe that the minimum value of Ωi occurs in ky =0.5 for Figure 4-16 and ky =0.1 for Figure 4-17.

Then the contour values of those two figures also present a symmetric tendency with ky =0.5 and 1

.

=0

ky , respectively. Figure 4-16 and 4-17 illustrate that the value of ν0 is increased with the enhancing contour values of Ωi. Therefore, we can compare the results of initial transient growth rate between layering modes and non-layering modes. Both can raise the value of Ωi by increasing the values of ν0 and e . In the layering modes, increasing value of initial transversal g wavenumber k leads to a larger value of y Ωi. In the non-layering modes, because the effect of initial streamwise wavenumber k is needed to be considered, the larger value of x k does not y ensure that the value of Ωi can also become large. Then we observe the initial wave structure of both modes. Layering modes possess waves which travel only in y-direction, then the short wavelength (i.e. large wavenumber) represents that the faster development of initial disturbances and the disturbance faster decay. However, non-layering modes possess various directions of initial disturbance wave to travel, where the direction of 45° can cause the minimum value of Ωi. To more understand these results, we should present the transient growth function in the following.

Figure 4-18 shows the temporal evolution of the transient growth function G(t) for two cases: (a)

=1

kx and ky =1; (b) kx =0.1 and ky =1, which are set as eg =0.5 and ν0 =0.55. As shown in Figure 4-18, we compare these two figures (a) and (b). The case of Figure 4-18 (a) has a smaller value of Gmax and decays faster. It is consistent with the results of Ωi, the identical component of initial wave vector can lead to smaller Ω and G . Figure 4-18 (b) applies a smaller value of k

which is reduced by one order of k of Figure 4-18 (a), and then we can observe several features x by this small value of k : (1) the function of G(t) can persist a longer period to decay; (2) the x maximum peak of G(t) is larger than that of Figure 4-18 (a); and (3) this maximum value Gmax does not appear in first peak of G(t), it is shifted to another peak. We consider the effect of ν0 and then present Figure 4-19. Figure 4-19 shows the temporal evolution of G(t) for ν0 =0.6 and all parameters are the same as those of Figure 4-18. The results of Figure 4-19 shows that those of Figure 4-18 (b) possess similar three features which are mentioned in the above. The value of Gmax and the period of Figure 4-19 are slightly less than Figure 4-18. Next, we also consider the effect of

e for the function of G(t) and present Figure 4-20 for the case of g eg =0.8. Figure 4-20 illustrates that multiple peaks are unobvious and the value of Gmax appears in the first peak which is not significant as that of Figure 4-18 (b). Figure 4-20 still remains longer period of G(t) for small k . x Therefore, no matter the layering modes or non-layering modes, when increasing the values of coefficient of restitution e and solids volume fraction g ν0, two modes have the same results: (1) the initial transient growth rate Ωi will be increased; and (2) the maximum transient growth Gmax will be risen.

Now, we can fix the value of the initial streamwise wavenumber k and define the supremum of x

Gmax over all possible initial transversal wavenumber k as the optimal growth. Hence, we define y the value of G as the supremum of opt Gmax for the given range of 0.01≤ky ≤1. The superscript

“opt” denotes the optimal growth, the values of kyopt and t stand for the condition of opt G=Gopt is achieved. According to the results of Figures 4-18–4-20, a significant transient grow occurs in Figure 4-18 (b). Then we use the same parameters as those of Figure 4-18 (b) (eg =0.5 and

55 .

0 =0

ν ) to seek the optimal results for kx =0.05 and kx =0.01. Figure 4-21 illustrates the

following three features: (1) a significant Gmax tends to appear in the smaller value of k ; (2) the x value of G occurs in the smaller value of opt k for the smaller y k ; and (3) the value of x Gmax

decreases faster with k for smaller y k . This result is similar to that of Figure 1-3. We also list the x data of optimal growth for kx =0.05 and 0.01 in the below Table 4-2. Table 4-2 can clearly present similar three features which are mentioned in the above. Then we can present the transient growth function G(t) for the optimal growth. According to the optimal data of Table 4-2, we can obtain Figure 4-22 which is temporal evolution of optimal growth function G . Figure 4-22 illustrates opt the similar features to those of Figure 4-18 (b). When optimal growth is achieved: (1) the smaller value of k can possess a significant value of x Gmax; (2) the time of tmax becomes longer; and (3) a significant value of Gmax appears to another peak. Therefore, when the value of k approaches x to an infinitesimal value, the optimal growth G will have tendencies: (1) opt kyopt tends to be an infinitesimal value; and (2) G tends to be an enormous value. If opt G achieves a significant opt value, the linear system will have a great possibility to occur unstable. This result satisfies the algebraic instability which is obtained from Section 4-1. We can obtain the temporal development of each component from the initial condition which is derived from G . Figure 4-23 illustrates opt that the function of Rν

( )

t still dominates at initial period and takes over by the function of RKE

( )

t when time proceeds. Therefore, the significant transient growth Gmax is produced by the contribution of kinetic energy RKE

( )

t for any combination of wave structures.

Table 4-2: Values of G , opt t and opt kopty for two different kx 05

.

=0

kx 01kx =0.

G opt 72.143 131.282

t opt 14.124 46.573

opt

ky 0.58 0.39

In this paragraph, we present a distribution of solids volume fraction disturbance of G for opt 05

.

=0

kx . We calculate the real part of ν′=ν~

( )

t exp

(

ikxx+i

(

kykxt

)

y

)

and present in Figure 4-24.

Figure 4-24 shows the band-structure of solids volume fraction disturbance, where the color of black and white stands for the maximum and minimum values of solids volume fraction disturbance, respectively. Figure 4-24 (a) illustrates that a wavelength is about 126.13 particle diameters and a wave-front possesses the counterclockwise angle of 175.07° from the x-axis. The above results correspond to a wave vector (0.05 , 0.58) for t=0. Next, Figure 4-24 (b) shows the rotated wave vector (0.05 , -0.126) for t=14.124, then a wavelength is about 135.17 particle diameters and a wave-front possesses the counterclockwise angle of 21.61° from the x-axis. Because wave vectors can be turned by the uniform mean shear flows, the angle of wave-front is rotated clockwise from

° 07 .

175 to 21.61° with time. As time increasing to infinite, the transversal wavenumber is larger than the streamwise wavenumber. Then waves only travel in the negative y-direction and the band-structure will be stretched-out to homogeneous layers.

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