动态环境代写|World of Dynamic Environments EA1300 Cardiff University Assignment

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Dynamic environments refer to environments that are constantly changing and evolving over time. These changes can be driven by various factors, such as the behavior of agents within the environment, external events, or the passage of time.

Examples of dynamic environments include weather systems, traffic patterns, and financial markets. In these environments, the state of the system can change rapidly and unpredictably, requiring agents to adapt and adjust their strategies in real-time.

Dynamic environments are often modeled using dynamic systems theory, which provides a mathematical framework for understanding how systems change over time. This theory can be used to develop models and algorithms that can help agents navigate dynamic environments and make decisions in the face of uncertainty.

Machine learning techniques such as reinforcement learning, which involves training agents to learn optimal actions through trial and error, can be particularly effective in dynamic environments. By continually updating their policies based on new information, these agents can learn to adapt to changing conditions and optimize their behavior over time

动态环境代写|World of Dynamic Environments EA1300 Cardiff University Assignment

问题 1.

Show that
$$
\rho \frac{D}{D t}\left(\frac{q_i q_i}{2}\right)=\rho f_i q_i+\frac{\partial\left(\sigma_{i j} q_i\right)}{\partial x_j}-\sigma_{i j} \frac{\partial q_i}{\partial x_j}
$$
where $\sigma_{i j}$ is the viscous stress tensor.

证明 .

Starting from the left-hand side of the equation, we have:

$\rho \frac{D}{D t}\left(\frac{q_i q_i}{2}\right)=\rho \frac{d}{d t}\left(\frac{q_i q_i}{2}\right)+\rho \frac{\partial}{\partial x_j}\left(u_j \frac{q_i q_i}{2}\right)$

where we have used the material derivative and the fact that $\rho u_i$ is the momentum density, which is related to the velocity by $u_i=q_i/\rho$. Now we can expand the first term on the right-hand side using the chain rule:

$\begin{aligned} \rho \frac{d}{d t}\left(\frac{q_i q_i}{2}\right) & =\rho \frac{\partial}{\partial t}\left(\frac{q_i q_i}{2}\right)+\rho u_j \frac{\partial}{\partial x_j}\left(\frac{q_i q_i}{2}\right) \ & =\rho \frac{\partial}{\partial t}\left(\frac{q_i q_i}{2}\right)+\rho q_i \frac{\partial u_j}{\partial x_j}+\rho u_j q_i \frac{\partial}{\partial x_j}\left(q_i\right) \ & =\rho \frac{\partial}{\partial t}\left(\frac{q_i q_i}{2}\right)+\rho q_i f_i+\rho u_j q_i \frac{\partial}{\partial x_j}\left(q_i\right)\end{aligned}$

where we have used the continuity equation $\partial \rho/\partial t + \partial(\rho u_j)/\partial x_j = 0$ and the equation of motion $\rho D u_i/Dt = \rho f_i – \partial \sigma_{ij}/\partial x_j$ to simplify the second term. Using the identity $\partial (q_i^2)/\partial x_j=2q_i\partial q_i/\partial x_j$ and the Einstein summation convention, we can rewrite the last term as $\partial(q_i q_j)/\partial x_j=q_i f_i+\partial(\sigma_{ij} q_i)/\partial x_j-\sigma_{ij}\partial q_i/\partial x_j$. Putting everything together, we get:

$\rho \frac{D}{D t}\left(\frac{q_i q_i}{2}\right)=\rho f_i q_i+\frac{\partial\left(\sigma_{i j} q_i\right)}{\partial x_j}-\sigma_{i j} \frac{\partial q_i}{\partial x_j}$

as desired.

问题 2.

Derive the explicit expression for the last term
$$
\Phi=\sigma_{i j} \frac{\partial q_i}{\partial x_j}
$$
for a two dimensionnal flow in term of $u, v$ and $x, y$ and comment on the sign of $\Phi$.

证明 .

In two-dimensional flow, the stress tensor $\sigma_{ij}$ has only three non-zero components: $\sigma_{xx}$, $\sigma_{yy}$, and $\sigma_{xy}=\sigma_{yx}$. Therefore, we can write

$\Phi=\sigma_{x x} \frac{\partial q}{\partial x}+\sigma_{y y} \frac{\partial p}{\partial y}+2 \sigma_{x y} \frac{\partial q}{\partial y}$

where $q$ and $p$ are the velocity potential and stream function, respectively. In two-dimensional flow, the velocity components can be written as $u=\frac{\partial \phi}{\partial y}$ and $v=-\frac{\partial \phi}{\partial x}$, where $\phi=q+ip$ is the complex potential.

Using the Cauchy-Riemann equations, we can write $\frac{\partial q}{\partial x}=\frac{\partial p}{\partial y}$ and $\frac{\partial q}{\partial y}=-\frac{\partial p}{\partial x}$. Substituting these relations and using the fact that $\sigma_{xx}=2\mu \frac{\partial u}{\partial x}$, $\sigma_{yy}=2\mu \frac{\partial v}{\partial y}$, and $\sigma_{xy}=\sigma_{yx}= \mu \left(\frac{\partial u}{\partial y}+\frac{\partial v}{\partial x}\right)$ (where $\mu$ is the dynamic viscosity), we get

$\Phi=2 \mu\left(\frac{\partial u}{\partial x} \frac{\partial p}{\partial y}+\frac{\partial v}{\partial y} \frac{\partial p}{\partial x}\right)+2 \mu\left(\frac{\partial u}{\partial y} \frac{\partial q}{\partial y}-\frac{\partial v}{\partial x} \frac{\partial q}{\partial y}\right)$

Using the definition of the complex potential, we can write

$\frac{\partial u}{\partial x}=\frac{\partial}{\partial x}\left(\frac{\partial \phi}{\partial y}\right)=\frac{\partial^2 \phi}{\partial x \partial y}, \quad \frac{\partial u}{\partial y}=-\frac{\partial}{\partial y}\left(\frac{\partial \phi}{\partial x}\right)=-\frac{\partial^2 \phi}{\partial x \partial y}$

and

$\frac{\partial v}{\partial x}=-\frac{\partial}{\partial x}\left(\frac{\partial \phi}{\partial x}\right)=-\frac{\partial^2 \phi}{\partial x^2}, \quad \frac{\partial v}{\partial y}=\frac{\partial}{\partial y}\left(\frac{\partial \phi}{\partial y}\right)=\frac{\partial^2 \phi}{\partial y^2}$

问题 3.

For long-scale slow motion show that mass conservation requires
$$
\frac{\partial h}{\partial t}+\frac{\partial q}{\partial x}=0
$$
where $q$ is the discharge rate.
$$
q=\int_0^h u(x, y, t) d y
$$
Assume the profile obtained for uniform flow with $h$ and $h_o$ depending on $x, t$. Obtain a set of equations for $h(x, t)$ and $h_o(x, t)$.

证明 .

The control volume is defined by two cross-sectional areas, $A_1$ and $A_2$, and a length, $\Delta x$. The volume of fluid entering the control volume at $x$ per unit time is $q(x,t)$, and the volume leaving the control volume at $x+\Delta x$ per unit time is $q(x+\Delta x,t)$. The change in volume of the fluid within the control volume per unit time is $\frac{\partial h}{\partial t} \Delta x$, where $h(x,t)$ is the height of the fluid at $x$. By the principle of conservation of mass, we have:

$\frac{\partial h}{\partial t} \Delta x+q(x, t)-q(x+\Delta x, t)=0$

Dividing by $\Delta x$ and taking the limit as $\Delta x \rightarrow 0$, we obtain:

$\frac{\partial h}{\partial t}+\frac{\partial q}{\partial x}=0$

where $q(x,t)$ is the discharge rate at $x$ and time $t$, defined as:

$q(x, t)=\int_0^{h(x, t)} u(x, y, t) d y$

where $u(x,y,t)$ is the velocity profile of the fluid.

For the case of uniform flow, the velocity profile is constant in the $y$ direction, and we have:

$u(x, y, t)=\frac{Q}{h(x, t)}$

where $Q$ is the discharge per unit width of the channel. Substituting this into the definition of $q(x,t)$, we have:

$q(x, t)=\int_0^{h(x, t)} \frac{Q}{h(x, t)} d y=Q$

Therefore, for uniform flow, the discharge rate is constant along the channel. Substituting this into the mass conservation equation, we obtain:

$\frac{\partial h}{\partial t}+\frac{\partial Q}{\partial x}=0$

To obtain a set of equations for $h(x,t)$ and $h_o(x,t)$, we need an additional equation that relates the depth of the fluid to the width of the channel. For a rectangular channel of width $b$, the area of the cross-section is $A(x,t) = b h(x,t)$, and the wetted perimeter is $P(x,t) = b + 2h(x,t)$. Using these relations, we can derive the equation of motion for $h(x,t)$ by applying the principle of conservation of momentum to the control volume shown in the figure above.

Assuming the flow is steady and inviscid, the momentum equation reduces to:

$\frac{\partial}{\partial x}\left(\frac{h^2}{2}+g h+\frac{Q^2}{2 g b^2}\right)=0$

where $g$ is the acceleration due to gravity. This equation can be integrated to obtain:

$\frac{h^2}{2}+g h+\frac{Q^2}{2 g b^2}=C(x)$

where $C(x)$ is the integration constant. The value of $C(x)$ can be determined from the boundary conditions. For example, if the depth of the fluid is $

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