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give answer in 2 step with explanation at the end of each step and final answer at the end: This i s a differential equation that models a shock a b s o r b e r o f a car using the 4 t h order Runge - Kutta, method implemented a s a MATLAB script. The differential equation derived there with simplifying assumptions t o model 1 shock a b s o r b e r o f a car i s Where: d 2 y d t 2 = - c m d y d t - k m y y i s the vertical displacement o f the shock a b s o r b e r t i s the time m i s a quarter the mass o f the vehicle m = 3 8 0 k g + 7 6 4 2 k g k i s the spring constant k = 1 2 0 0 N = m c i s the damping constant c = 6 0 0 N s = m initially but you should vary i t a s described below Use a starting value for the damping constant o f 6 0 0 N s = m a s i n the reference but vary the coefficient s o that you have 2 oscillations o f your system before the oscillation i s damped out. Take y ( 0 ) = 0 . 1 6 m and i n initial velocity o f shock a b s o r b e r , d y d i t = 0 , a t t = 0 a s i n the reference. Find a suitable time step for your Runge - Kutta implementation b y comparing the answer t o the solution given i n the reference. Once you have found the damping coefficient use numerical techniques t o find the maximum kinetic energy o f the system and how much energy i s dissipated b y the damper Generate MATLAB code, the theory for your numerical methods, your starting parameters and process for varying parameters t o and the solution that meets the specifications and the final results. Your results section should include a plot o f the function values, and you should discuss the plot ( g r a p h ) i n the accompanying text. I n general, all figures presented need t o b e explained i n the text.This i a differential equation that models a shock absorber of a car using the 4th order Runge-Kuia method implemented as a MATLAB kcript “The diferential equation cerved there with simpiying assumptions to model 1 shock absorber of a cars Where: dy _ er x = wa ow? 1. y is the vertical displacement ofthe shock absorber 2 tisthe time 3. mis a quarter the mass of the vehicle m = 380Kk0 + (764)2k0 4. Kis the spring constant k = 1200N=m 5. cis the damping constant c = 600Ns=m intially but you should vary it as described below Use a starting value for the damping constant of G0ONs=m as in the reference but vary the coeficent so that you have 2 oscilatins of your system before the oscilaton is damped out Take y (0) = 0-46m and in inital velocity of shock absorber, = 0, at = 0 as in the reference. Find a sutable ime step for your Runge-Kutta implémentation by comparing the answer o the solution given i the reference. 1. Once you have found the damping coeficient use numerical techniques to find the maximum Kinetic energy of the system and how much eneray is dissipated by the damper 2. Generate MATLAB code, the theory for your numerical methods, your staring parameters and process for varying parameters fa and the solution that meets the Specifications and the finalesus 3. Your results section should include a plot of the function values, and you should discuss the plot (graph) in the accompanying text. In general, all figures presented ned 10.55 solani The Ml

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give answer in 2 step with explanation at the end of each step and final answer at the end: This i s a differential equation that models a shock a b s o r b e r o f a car using the 4 t h order Runge - Kutta, method implemented a s a MATLAB script. The differential equation derived there with simplifying assumptions t o model 1 shock a b s o r b e r o f a car i s Where: d 2 y d t 2 = - c m d y d t - k m y y i s the vertical displacement o f the shock a b s o r b e r t i s the time m i s a quarter the mass o f the vehicle m = 3 8 0 k g + 7 6 4 2 k g k i s the spring constant k = 1 2 0 0 N = m c i s the damping constant c = 6 0 0 N s = m initially but you should vary i t a s described below Use a starting value for the damping constant o f 6 0 0 N s = m a s i n the reference but vary the coefficient s o that you have 2 oscillations o f your system before the oscillation i s damped out. Take y ( 0 ) = 0 . 1 6 m and i n initial velocity o f shock a b s o r b e r , d y d i t = 0 , a t t = 0 a s i n the reference. Find a suitable time step for your Runge - Kutta implementation b y comparing the answer t o the solution given i n the reference. Once you have found the damping coefficient use numerical techniques t o find the maximum kinetic energy o f the system and how much energy i s dissipated b y the damper Generate MATLAB code, the theory for your numerical methods, your starting parameters and process for varying parameters t o and the solution that meets the specifications and the final results. Your results section should include a plot o f the function values, and you should discuss the plot ( g r a p h ) i n the accompanying text. I n general, all figures presented need t o b e explained i n the text.Uploaded ImageThis i a differential equation that models a shock absorber of a car using the 4th order Runge-Kuia method implemented as a MATLAB kcript “The diferential equation cerved there with simpiying assumptions to model 1 shock absorber of a cars Where: dy _ er x = wa ow? 1. y is the vertical displacement ofthe shock absorber 2 tisthe time 3. mis a quarter the mass of the vehicle m = 380Kk0 + (764)2k0 4. Kis the spring constant k = 1200N=m 5. cis the damping constant c = 600Ns=m intially but you should vary it as described below Use a starting value for the damping constant of G0ONs=m as in the reference but vary the coeficent so that you have 2 oscilatins of your system before the oscilaton is damped out Take y (0) = 0-46m and in inital velocity of shock absorber, = 0, at = 0 as in the reference. Find a sutable ime step for your Runge-Kutta implémentation by comparing the answer o the solution given i the reference. 1. Once you have found the damping coeficient use numerical techniques to find the maximum Kinetic energy of the system and how much eneray is dissipated by the damper 2. Generate MATLAB code, the theory for your numerical methods, your staring parameters and process for varying parameters fa and the solution that meets the Specifications and the finalesus 3. Your results section should include a plot of the function values, and you should discuss the plot (graph) in the accompanying text. In general, all figures presented ned 10.55 solani The Ml

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Created at: 2025-05-08 08:41:34

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**Step 1: Formulate and Set Up the Problem (Theory and Parameters)** **Theory:** The shock absorber system is modeled by the second-order ODE: \[ \frac{d^2y}{dt^2} + \frac{c}{m}\frac{dy}{dt} + \frac{k}{m}y = 0 \] - Convert this to a system of first-order ODEs: - Let \( y_1 = y \) (displacement) - \( y_2 = \frac{dy}{dt} \) (velocity) So, \[ \frac{dy_1}{dt} = y_2 \] \[ \frac{dy_2}{dt} = -\frac{c}{m}y_2 - \frac{k}{m}y_1 \] **Parameters:** - \( m = \frac{380 + 764}{2} = 572\, \text{kg} \) - \( k = 1200\, \text{N/m} \) - \( c \) (start with 600 Ns/m, then vary) - \( y(0) = 0.16\, \text{m} \), \( y'(0) = 0 \) **Explanation:** This step converts the physical problem into a mathematically suitable form for numerical solution and defines all physical parameters. The ODE is rewritten to suit the Runge-Kutta method. --- **Step 2: Implement the Numerical Solution (MATLAB, RK4, Tuning, and Results)** **MATLAB Pseudocode:** ```matlab % Parameters m = 572; k = 1200; c = 600; % Start with this, then adjust to get 2 oscillations % Initial conditions y0 = 0.16; v0 = 0; % Time settings dt = 0.01; % Start with a small step, adjust as needed T = 10; % Total simulation time N = T/dt; t = linspace(0, T, N); % Pre-allocate Y = zeros(2, N); Y(:,1) = [y0; v0]; % Define ODE system f = @(y) [y(2); -c/m*y(2) - k/m*y(1)]; % RK4 loop for i = 1:N-1 k1 = f(Y(:,i)); k2 = f(Y(:,i) + 0.5*dt*k1); k3 = f(Y(:,i) + 0.5*dt*k2); k4 = f(Y(:,i) + dt*k3); Y(:,i+1) = Y(:,i) + (dt/6)*(k1 + 2*k2 + 2*k3 + k4); end % Plot results plot(t, Y(1,:)); xlabel('Time (s)'); ylabel('Displacement (m)'); title('Shock Absorber Displacement vs Time'); grid on; % (Repeat for kinetic energy: KE = 0.5*m*Y(2,:).^2) ``` - **Vary \( c \)** so that the plot shows *about two oscillations* before damping. - **Compare time steps** by reducing `dt` and seeing if the solution changes significantly. - **Maximum kinetic energy**: Find max(0.5*m*v^2) in the simulation. - **Energy dissipated by damper**: Integrate \( c v^2 \) over time. **Explanation:** This step gives the MATLAB code to numerically solve the ODE using RK4, describes how to tune the damping for two oscillations, and outlines how to analyze and plot the results, including energy calculations. --- **Final Answer / Summary:** 1. **Formulate the system** as first-order ODEs and define all parameters. 2. **Implement the RK4 method in MATLAB** to solve for displacement and velocity, tune the damping for two oscillations, and analyze the results by plotting displacement over time, kinetic energy, and energy dissipated. - The plot will show a damped oscillation, with the amplitude reducing to zero after about two cycles (if \( c \) is chosen correctly). - Maximum kinetic energy is where velocity peaks. - Total dissipated energy is calculated by integrating the damping power over time. **You should include and explain your plots in your report, showing how the shock absorber damps the oscillation and discussing energy dissipation in the system.**

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