• Source: Integral length scale

The integral length scale measures the correlation distance of a process in terms of space or time.
In essence, it looks at the overall memory of the process and how it is influenced by previous positions and parameters. An intuitive example would be the case in which you have very low Reynolds number flows (e.g., a Stokes flow), where the flow is fully reversible and thus fully correlated with previous particle positions. This concept may be extended to turbulence, where it may be thought of as the time during which a particle is influenced by its previous position.
The mathematical expressions for integral scales are:





T

=

∫

0


∞


ρ
(
τ
)
d
τ


{\displaystyle \mathrm {T} =\int _{0}^{\infty }\rho (\tau )d\tau }





L
=

∫

0


∞


ρ
(
r
)
d
r


{\displaystyle L=\int _{0}^{\infty }\rho (r)dr}


Where




T



{\displaystyle \mathrm {T} }

is the integral time scale, L is the integral length scale, and



ρ
(
τ
)


{\displaystyle \rho (\tau )}

and



ρ
(
r
)


{\displaystyle \rho (r)}

are the autocorrelation with respect to time and space respectively.
In isotropic homogeneous turbulence, the integral length scale



ℓ


{\displaystyle \ell }

is defined as the weighted average of the inverse wavenumber, i.e.,




ℓ
=

∫

0


∞



k

−
1


E
(
k
)
d
k

/


∫

0


∞


E
(
k
)
d
k





{\displaystyle \ell =\int _{0}^{\infty }k^{-1}E(k)dk\left/\int _{0}^{\infty }E(k)dk\right.}


where



E
(
k
)


{\displaystyle E(k)}

is the energy spectrum.




References

Kata Kunci Pencarian:

• ACER2
• AGTRAP
• CREB3
• Massachusetts Bay Transportation Authority
• Integral length scale
• Kolmogorov microscales
• Turbulence
• Integral
• Elliptic integral
• Fresnel integral
• Williams diagram
• Beaufort scale
• Path integral formulation
• Cutoff (physics)