3- Consider a nonlinear mass-spring-damper system characterized by a nonlinear spring force, defined as Fs=-kx-knx², where k is the linear spring constant and kn is the coefficient of the nonlinear term. The damping force follows the standard linear model F₁ = -c dx dt a. Derive the governing differential equation for the system and explore its parametric solutions as functions of mass (m), damping coefficient (c), linear spring constant (k), and nonlinear spring coefficient (kn). Analyze the conditions under which oscillatory motion occurs, discussing how the nonlinearity affects the frequency and period of oscillations compared to a linear system. b. Use the following parameters for your specific analysis: ⚫ m = 2 kg, • c = 15 Ns/m ⚫ k = 0.2 × [your last 2 digits of your student ID number] N/m kn = 0.05 N/m Assume an initial displacement xo= 15 cm and initial velocity of x'0 = 0. Calculate the frequency, period, and amplitude of the system's motion. Discuss how the presence of the nonlinear spring force modifies these characteristics compared to a linear mass- spring-damper system. c. Model this system in Simulink using the defined parameters. Present and discuss the results of your simulation, particularly focusing on the system's response under varying initial conditions and the impact of nonlinearity on its dynamic behavior.

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
Section: Chapter Questions
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3-
Consider a nonlinear mass-spring-damper system characterized by a nonlinear
spring force, defined as Fs=-kx-knx², where k is the linear spring constant and kn is the coefficient
of the nonlinear term. The damping force follows the standard linear model F₁ = -c
dx
dt
a. Derive the governing differential equation for the system and explore its parametric
solutions as functions of mass (m), damping coefficient (c), linear spring constant (k), and
nonlinear spring coefficient (kn). Analyze the conditions under which oscillatory motion
occurs, discussing how the nonlinearity affects the frequency and period of oscillations
compared to a linear system.
b. Use the following parameters for your specific analysis:
⚫ m = 2 kg,
•
c = 15 Ns/m
⚫
k = 0.2 × [your last 2 digits of your student ID number] N/m
kn = 0.05 N/m
Assume an initial displacement xo= 15 cm and initial velocity of x'0 = 0. Calculate the
frequency, period, and amplitude of the system's motion. Discuss how the presence of
the nonlinear spring force modifies these characteristics compared to a linear mass-
spring-damper system.
c. Model this system in Simulink using the defined parameters. Present and discuss the results
of your simulation, particularly focusing on the system's response under varying initial
conditions and the impact of nonlinearity on its dynamic behavior.
Transcribed Image Text:3- Consider a nonlinear mass-spring-damper system characterized by a nonlinear spring force, defined as Fs=-kx-knx², where k is the linear spring constant and kn is the coefficient of the nonlinear term. The damping force follows the standard linear model F₁ = -c dx dt a. Derive the governing differential equation for the system and explore its parametric solutions as functions of mass (m), damping coefficient (c), linear spring constant (k), and nonlinear spring coefficient (kn). Analyze the conditions under which oscillatory motion occurs, discussing how the nonlinearity affects the frequency and period of oscillations compared to a linear system. b. Use the following parameters for your specific analysis: ⚫ m = 2 kg, • c = 15 Ns/m ⚫ k = 0.2 × [your last 2 digits of your student ID number] N/m kn = 0.05 N/m Assume an initial displacement xo= 15 cm and initial velocity of x'0 = 0. Calculate the frequency, period, and amplitude of the system's motion. Discuss how the presence of the nonlinear spring force modifies these characteristics compared to a linear mass- spring-damper system. c. Model this system in Simulink using the defined parameters. Present and discuss the results of your simulation, particularly focusing on the system's response under varying initial conditions and the impact of nonlinearity on its dynamic behavior.
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