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Fluids – Lecture 10 Notes
- Substantial Derivative
- Recast Governing Equations
Reading: Anderson 2.9, 2.
Substantial Derivative
Sensed rates of change The rate of change reported by a flow sensor clearly depends on the motion of the sensor. For example, the pressure reported by a static-pressure sensor mounted on an airplane in level flight shows zero rate of change. But a ground pressure sensor reports a nonzero rate as the airplane rapidly flies by a few meters overhead. The figure illustrates the situation.
p (t) 2 p (t) 1
t = t o
wing location at
p
t
t o
p (t)
1
p (t)
2
Note that although the two sensors measure the same instantaneous static pressure at the same point (at time t = to), the measured time rates are different.
p 1 (to) = p 2 (to) but
dp 1 dt
(to) 6 =
dp 2 dt
(to)
Drifting sensor We will now imagine a sensor drifting with a fluid element. In effect, the sensor follows the element’s pathline coordinates xs(t), ys(t), zs(t), whose time rates of change are just the local flow velocity components
dxs dt
= u(xs, ys, zs, t) ,
dys dt
= v(xs, ys, zs, t) ,
dzs dt
= w(xs, ys, zs, t)
t
V p (t)
s
p s
pathline
pressure field
sensor drifting with local velocity
Dp dp s
Dt dt
Consider a flow field quantity to be observed by the drifting sensor, such as the static pressure p(x, y, z, t). As the sensor moves through this field, the instantaneous pressure value reported by the sensor is then simply
ps(t) = p (xs(t), ys(t), zs(t), t) (1)
This ps(t) signal is similar to p 2 (t) in the example above, but not quite the same, since the p 2 sensor moves in a straight line relative to the wing rather than following a pathline like the ps sensor.
Substantial derivative definition The time rate of change of ps(t) can be computed from (1) using the chain rule.
dps dt
∂p ∂x
dxs dt
∂p ∂y
dys dt
∂p ∂z
dzs dt
∂p ∂t
But since dxs/dt etc. are simply the local fluid velocity components, this rate can be ex- pressed using the flowfield properties alone.
dps dt
∂p ∂t
∂p ∂x
∂p ∂y
∂p ∂z
Dp Dt
The middle expression, conveniently denoted as Dp/Dt in shorthand, is called the substantial derivative of p. Note that in order to compute Dp/Dt, we must know not only the p(x, y, z, t) field, but also the velocity component fields u, v, w(x, y, z, t).
Although we used the pressure in this example, the substantial derivative can be computed for any flowfield quantity (density, temperature, even velocity) which is a function of x, y, z, t.
D( ) Dt
∂t
∂x
∂y
∂z
∂t
+ V~ · ∇( )
The rightmost compact D/Dt definition contains two terms. The first ∂/∂t term is called the local derivative. The second V~ · ∇ term is called the convective derivative. In steady flows, ∂/∂t = 0, and only the convective derivative contributes.
Recast Governing Equations
All the governing equations of fluid motion which were derived using control volume concepts can be recast in terms of the substantial derivative. We will employ the following general vector identity ∇ · (a~v) = ~v · ∇a + a ∇·~v
which is valid for any scalar a and any vector ~v.
Continuity equation Applying the above vector identity to the divergence form continuity equation gives
∂ρ ∂t
( ρ V~
) = 0 ∂ρ ∂t
The final result above is called the convective form of the continuity equation. A physical interpretation can be made if it’s written as follows.
