Engineering Vibration 4th Edition Prentice Hall © D. J. Inman daninman@umich.edu We make our living in dynamics and vibration University of Michigan © D. J. Inman 1/43 Vibrations are Everywhere University of Michigan © D. J. Inman 2/43 (Show movies) Modeling and Degrees of Freedom The examples on the previous slide many degrees of freedom and many parts, we will start with one degree of freedom and work towards many. • Recall from your study of statics and physics that a degree of freedom is the independent parameter needed to describe the configuration of a physical system • So single degree of freedom system, which is where we start, is a system whose position in time and space can be defined by one coordinate, a displacement Lack of consideration of here dynamic loads and vibrationor caused this to relatively new bridge to vibrate wildly position. University of Michigan © D. J. Inman 3/43 Degrees of Freedom: The Minimum Number of coordinates to specify a configuration • For a single particle confined to a line, one coordinate suffices so it has one degree of freedom • For a single particle in a plane two coordinates define its location so it has two degrees of freedom • A single particle in space requires three coordinates so it has three degrees of freedom University of Michigan © D. J. Inman 4/43 Example 1.1.1 The Pendulum • Sketch the structure or part of interest • Write down all the forces and make a “free body diagram” • Use Newton’s Law and/or Euler’s Law to find the equations of motion ∑ M = J α , J = m 0 University of Michigan © D. J. Inman 0 2 0 5/43 The problem is one dimensional, hence a scalar equation results J 0α (t) = −mgl sin θ (t) ⇒ m θ(t) + mg θ (t) = 0 sin 2 restoring force Here the over dots denote differentiation with respect to time t This is a second order, nonlinear ordinary differential equation We can linearize the equation by using the approximation sin θ ≈ θ g ⇒ m θ (t) + mgθ (t) = 0 ⇒ θ (t) + θ (t) = 0 2 Requires knowledge of θ (0) and θ(0) University of Michigan © D. J. Inman the initial position and velocity. 6/43 Next consider a spring mass system and perform a static experiment: • From strength of materials recall: FBD: nonlinear linear A plot of force versus displacement: University of Michigan © D. J. Inman experiment ⇒ fk = kx 7/43 Free-body diagram and equation of motion •Newton’s Law: University of Michigan © D. J. Inman m x(t) = −kx(t) ⇒ m x(t) + kx(t) = 0 = v0 x(0) = x0 , x(0) (1.2) Again a 2nd order ordinary differential equation 8/43 Stiffness and Mass Vibration is cause by the interaction of two different forces one related to position (stiffness) and one related to acceleration (mass). Proportional to displacement Stiffness (k) Displacement x fk = −kx(t) Mass (m) k statics fm = ma(t) = m x(t) m Mass Spring dynamics University of Michigan © D. J. Inman Proportional to acceleration 9/43 Examples of Single-Degree-ofFreedom Systems Pendulum Shaft and Disk l =length Gravity g θ Torsional Stiffness k m θ g θ (t) + θ (t) = 0 l University of Michigan © D. J. Inman Moment of inertia J Jθ(t) + kθ (t) = 0 10/43 Solution of 2nd order DEs x(t) Lets assume a solution: x(t) = Asin(ω nt + φ ) (1.3) t Differentiating twice gives: = ω n A cos(ω nt + φ ) x(t) (1.4) x(t) = −ω n2 Asin(ω nt + φ ) = -ω n2 x(t) (1.5) Substituting back into the equations of motion gives: −mω n2 Asin(ω nt + φ ) + kAsin(ω nt + φ ) = 0 −mω + k = 0 2 n University of Michigan © D. J. Inman or ωn = k m Natural frequency rad/s 11/43 Summary of simple harmonic motion x(t) Period 2π T= ωn x0 Amplitude A Slope here is v0 φ t Maximum Velocity ωn ωn A ω n rad/s ω n cycles ω n fn = = = Hz 2π rad/cycle 2π s 2π University of Michigan © D. J. Inman 12/43 Initial Conditions If a system is vibrating then we must assume that something must have (in the past) transferred energy into to the system and caused it to move. For example the mass could have been: •moved a distance x0 and then released at t = 0 (i.e. given Potential energy) or •given an initial velocity v0 (i.e. given some kinetic energy) or •Some combination of the two above cases From our earlier solution we know that: x0 = x(0) = Asin(ω n 0 + φ ) = Asin(φ ) = ω n A cos(ω n 0 + φ ) = ω n A cos(φ ) v0 = x(0) University of Michigan © D. J. Inman 13/43 Initial Conditions Determine the Constants of Integration Solving these two simultaneous equations for A and ϕ gives: 1 2 2 2 −1 ⎛ ω n x0 ⎞ A= ω n x0 + v0 , φ = tan ⎜ ωn ⎝ v0 ⎟⎠ Amplitude Phase Slope here is v0 x(t) x0 1 ω n2 x02 + v02 ωn t φ ωn University of Michigan © D. J. Inman x0 φ v0 ωn 14/43 Thus the total solution for the spring mass system becomes: ω n2 x02 + v02 ⎛ −1 ω n x0 ⎞ x(t) = sin ⎜ ω nt + tan ωn v0 ⎟⎠ ⎝ (1.10) Called the solution to a simple harmonic oscillator and describes oscillatory motion, or simple harmonic motion. Note (Example 1.1.2) ω n2 x02 + v02 x(0) = ωn University of Michigan © D. J. Inman ω n x0 ω x +v 2 2 n 0 as it should 2 0 = x0 15/43 A note on arctangents • Note that calculating arctangent from a calculator requires some attention. First, all machines work in radians. • The argument atan(-/+) is in a different quadrant then atan(+/-), and usual machine calculations will return an arctangent in between -π/2 and +π/2, reading only the atan(-) for these two different cases. + φ - University of Michigan © D. J. Inman + + _ φ + In MATLAB, use the atan2(x,y) function to get 16/43 the correct phase. Example 1.1.3 wheel, tire suspension m = 30 kg, fn = 10 hz, what is k? ⎛ cylce 2π rad ⎞ 5 k = mω = ( 30 kg ) ⎜ 10 i = 1.184 × 10 N/m ⎟ ⎝ sec cylce ⎠ 2 n There are of course more complex models of suspension systems and these appear latter in the course as our tools develope University of Michigan © D. J. Inman 17/43 Section 1.2 Harmonic Motion The period is the time elapsed to complete one complete cylce 2π rad 2π T= = s ω n rad/s ω n (1.11) The natural frequency in the commonly used units of hertz: ωn ω n rad/s ω n cycles ω n fn = = = = Hz 2π 2π rad/cycle 2π s 2π For the pendulum: ωn = (1.12) g rad/s, T = 2π s g For the disk and shaft: ωn = University of Michigan © D. J. Inman k J rad/s, T = 2π s J k 18/43 Relationship between Displacement, Velocity and Acceleration 1 x(t) = Asin(ω nt + φ ) x Displacement 0 -1 0 20 = ω n A cos(ω nt + φ ) x(t) v Velocity a x(t) = −ω n2 Asin(ω nt + φ ) 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1 0.1 0.2 0.3 0.4 0.5 0.6 Time (sec) 0.7 0.8 0.9 1 0 -20 0 200 Acceleration 0 -200 0 University of Michigan © D. J. Inman A=1, ωn=12 Note how the relative magnitude of each increases for ωn>1 19/43 Example 1.2.1Hardware store spring, bolt: m= 49.2x10 -3 kg, k=857.8 N/m and x0 =10 mm. Compute ωn and the max amplitude of vibration. Note: common Units are Hertz k 857.8 N/m ωn = = = 132 rad/s -3 m 49.2 ×10 kg To avoid Costly errors use f ωn when working in Hertz and ω fn = = 21 Hz when in rad/s 2π 2π 1 1 T= = = 0.0476 s ωn fn 21 cyles sec 0 1 2 2 2 x(t ) max = A = ωn x0 + v0 = x0 = 10 mm ωn n University of Michigan © D. J. Inman Units depend on system 20/43 n Compute the solution and max velocity and acceleration: v(t )max = ωn A = 1320 mm/s= 1.32 m/s 2.92 mph a(t ) max = ω n A = 174.24 ×10 mm/s 2 3 2 = 174.24 m/s ≈ 17.8g! g = 9.8 m/s2 π −1 ⎛ω n x0 ⎞ 90° φ = tan ⎜ ⎟ = rad ⎝ 0 ⎠ 2 x(t ) = 10 sin(132t + π / 2) = 10 cos(132t ) mm 2 ~0.4 in max University of Michigan © D. J. Inman 21/43 Does gravity matter in spring problems? Δ Let Δ be the deflection caused by hanging a mass on a spring (Δ = x1-x0 in the figure) Then from static equilibrium: mg = kΔ Next sum the forces in the vertical for some point x > x1 measured from Δ m x = −k ( x + Δ ) + mg = −kx + mg − kΔ =0 ⇒ m x(t) + kx(t) = 0 So no, gravity does not have an effect on the vibration University of Michigan (note that this is not the case if the spring is nonlinear) © D. J. Inman 22/43 Example 1.2.2 Pendulums and measuring g • A 2 m pendulum swings with a period of 2.893 s • What is the acceleration due to gravity at that location? 2π T= = 2π ωn g 4π 4π g= 2 = 2m 2 2 T 2.893 s ⇒ g = 9.796 m/s 2 2 2 This is g in Denver, CO USA, at 1638m and a latitude of 40° University of Michigan © D. J. Inman 23/43 Review of Complex Numbers and Complex Exponential (See Appendix A) A complex number can be written with a real and imaginary part or as a complex exponential c = a + jb = Ae jθ Where a = A cosθ ,b = Asin θ ℑ a Multiplying two complex numbers: c1c2 = A1 A2 e j (θ1 + θ 2 ) Dividing two complex numbers: c1 A1 j (θ1 −θ2 ) = e c2 A2 University of Michigan © D. J. Inman A b ℜ 24/43 Equivalent Solutions to 2nd order Differential Equations (see Window 1.4) All of the following solutions are equivalent: x(t) = Asin(ω nt + φ ) Called the magnitude and phase form x(t) = A1 sin ω nt + A2 cos ω nt Sometimes called the Cartesian form x(t) = a1e jω n t + a2 e− jω n t Called the polar form The relationships between A and ϕ, A1 and A2, and a1 and a2 can be found in Window 1.4 of the text, page 19.. University of Michigan © D. J. Inman •Each is useful in different situations •Each represents the same information •Each solves the equation of motion 25/43 Derivation of the solution Substitute x(t) = aeλt into m x + kx = 0 ⇒ mλ 2 aeλt + kaeλt = 0 ⇒ mλ 2 + k = 0 ⇒ k k λ = ± − =± j = ±ω n j ⇒ m m x(t) = a1eω n jt and x(t) = a2 e−ω n jt ⇒ x(t) = a1eω n jt + a2 e−ω n jt (1.18) This approach will be used again for more complicated problems University of Michigan © D. J. Inman 26/43 Is frequency always positive? From the preceding analysis, λ = + ωn then ω n jt x(t) = a1e + a2 e − ω n jt Using the Euler relations* for trigonometric functions, the above solution can be written as (recall Window 1.4) x(t) = Asin (ω nt + φ ) (1.19) It is in this form that we identify as the natural frequency ωn and this is positive, because the + sign being used up in the transformation from exponentials to the sine function. * http://en.wikipedia.org/wiki/Euler's_formula e = cos x + i sin x ix University of Michigan © D. J. Inman 27/43 Calculating root mean square (RMS) values May need to be limited due to physical constraints A = peak value T Not very useful since for a sine function the average value is zero 1 x = lim ∫ x(t)dt = average value T →∞ T 0 T 1 2 2 x = lim ∫ x (t)dt = mean-square value T →∞ T 0 xrms = x 2 = root mean square value (1.21) Proportional to energy Also useful when the vibration is random University of Michigan © D. J. Inman 28/43 The Decibel or dB scale It is often useful to use a logarithmic scale to plot vibration levels (or noise levels). One such scale is called the decibel or dB scale. The dB scale is always relative to some reference value x0. It is define as: 2 ⎛ x⎞ ⎛ x⎞ dB = 10 log10 ⎜ ⎟ = 20 log10 ⎜ ⎟ ⎝x ⎠ ⎝x ⎠ 0 (1.22) 0 For example: if an acceleration value was 19.6m/s2 then relative to 1g (or 9.8m/s2) the level would be 6dB, 2 ⎛ 19.6 ⎞ 10 log10 ⎜ = 20 log10 ( 2 ) = 6dB ⎟ ⎝ 9.8 ⎠ University of Michigan © D. J. Inman Or for Example 1.2.1: The Acceleration Magnitude 29/43 is 20log10(17.8)=25dB relative to 1g. 1.3 Viscous Damping All real systems dissipate energy when they vibrate. To account for this we must consider damping. The most simple form of damping (from a mathematical point of view) is called viscous damping. A viscous damper (or dashpot) produces a force that is proportional to velocity. Mostly a mathematically motivated form, allowing a solution to the resulting equations of motion that predicts reasonable (observed) amounts of energy dissipation. Damper (c) fc = −cv(t) = −cx(t) x fc University of Michigan © D. J. Inman 30/43 Differential Equation Including Damping For this damped single degree of freedom system the force acting on the mass is due to the spring and the dashpot i.e. fm= - fk - fc. Displacement x m x(t) = −kx(t) − cx(t) M or + kx(t) = 0 (1.25) m x(t) + cx(t) k c To solve this for of the equation it is useful to assume a solution of the form (again): x(t) = ae University of Michigan © D. J. Inman λt 31/43 Solution to DE with damping included (dates to 1743 by Euler) The velocity and acceleration can then be calculated as: x˙(t) = λae λt x˙˙(t) = λ2 ae λt If this is substituted into the equation of motion we get: aeλt (mλ 2 + cλ + k) = 0 (1.26) Divide equation by m, substitute for natural frequency and assume a non-trivial solution λt ae ≠ 0 University of Michigan © D. J. Inman ⇒ c ( λ + λ + ω n2 ) = 0 m 2 32/43 Solution to our differential equation with damping included: For convenience we will define a term known as the damping ratio as: c ζ= 2 km (1.30) Lower case Greek zeta NOT ξ as some like to use The equation of motion then becomes: (λ + 2ζω n λ + ω ) = 0 2 2 n Solving for λ then gives, λ1,2 = −ζω n ± ω n ζ 2 − 1 University of Michigan © D. J. Inman (1.31) 33/43 Possibility 1. Critically damped motion Critical damping occurs when ζ =1. The damping coefficient c in this case is given by: ζ =1 ⇒ c = ccr = 2 km = 2mω n Solving for λ then gives, definition of critical damping coefficient λ1,2 = −1ωn ± ωn 1 −1 = −ωn 2 The solution then takes the form A repeated, real root x(t) = a1e−ω n t + a2te−ω n t University of Michigan © D. J. Inman Needs two independent solutions, hence the t in the second term 34/43 Critically damped motion a1 and a2 can be calculated from initial conditions (t=0), x = (a1 + a2t)e−ω n t ⇒ a1 = x0 • • No oscillation occurs Useful in door mechanisms, analog gauges University of Michigan © D. J. Inman 0.6 x0=0.4mm v0=1mm/s 0.5 Displacement (mm) v = (−ω n a1 − ω n a2t + a2 )e−ω n t v0 = −ω n a1 + a2 ⇒ a2 = v0 + ω n x0 k=225N/m m=100kg and ζ = 1 x0=0.4mm v0=0mm/s x0=0.4mm v0=-1mm/s 0.4 0.3 0.2 0.1 0 -0.1 0 1 2 Time (sec) 3 35/43 4 Possibility 2: Overdamped motion An overdamped case occurs when ζ >1. Both of the roots of the equation are again real. k=225N/m m=100kg and ζ =2 0.6 λ1,2 = −ζωn ± ωn ζ −1 2 0.5 2 x(t) = e−ζωn t (a1e−ωn t ζ −1 + a2 eω n t ζ −1 ) a1 and a2 can again be calculated from initial conditions (t=0), −v0 + ( − ζ + ζ 2 −1)ωn x0 a1 = 2ω n ζ 2 −1 Displacement (mm) 2 x0=0.4mm v0=1mm/s x0=0.4mm v0=0mm/s x0=0.4mm v0=-1mm/s 0.4 0.3 0.2 0.1 0 -0.1 0 1 2 Time (sec) v0 + (ζ + ζ −1)ωn x0 a2 = 2ω n ζ 2 −1 Slower to respond than 2 University of Michigan © D. J. Inman critically damped case 3 36/43 4 Possibility 3: Underdamped motion An underdamped case occurs when ζ <1. The roots of the equation are complex conjugate pairs. This is the most common case and the only one that yields oscillation. λ1,2 = −ζω n ± ωn j 1− ζ 2 x(t) = e −ζωn t (a1e jωn t 1−ζ 2 + a2 e − jω n t 1−ζ 2 ) = Ae −ζω n t sin(ω d t + φ) The frequency of oscillation ωd is called the damped natural frequency is given by. ωd = ωn 1 − ζ 2 University of Michigan © D. J. Inman (1.37) 37/43 Constants of integration for the underdamped motion case As before A and ϕ can be calculated from initial conditions (t=0), 1 (v 0 + ζωn x0 )2 + (x 0ω d ) 2 ωd ⎛ x0ω d ⎞ −1 φ = tan ⎜ ⎟ ⎝ v0 + ζω n x0 ⎠ 1 A= Gives an oscillating response with exponential decay • Most natural systems vibrate with and underdamped response • See Window 1.5 for details and other representations University of Michigan © D. J. Inman Displacement • 0.5 0 -0.5 -1 0 1 2 3 Time (sec) 4 5 38/43 Example 1.3.1: consider the spring of 1.2.1, if c = 0.11 kg/s, determine the damping ratio of the spring-bolt system. m = 49.2 × 10 −3 kg, k = 857.8 N/m −3 ccr = 2 km = 2 49.2 × 10 × 857.8 = 12.993 kg/s c 0.11 kg/s ζ= = = 0.0085 ⇒ ccr 12.993 kg/s the motion is underdamped and the bolt will oscillate University of Michigan © D. J. Inman 39/43 Example 1.3.2 The human leg has a measured natural frequency of around 20 Hz when in its rigid (knee locked) position, in the longitudinal direction (i.e., along the length of the bone) with a damping ratio of ζ = 0.224. Calculate the response of the tip if the leg bone to an initial velocity of v0 = 0.6 m/s and zero initial displacement (this would correspond to the vibration induced while landing on your feet, with your knees locked form a height of 18 mm) and plot the response. What is the maximum acceleration experienced by the leg assuming no damping? University of Michigan © D. J. Inman 40/43 Solution: 20 cycles 2π rad ωn = = 125.66 rad/s 1 s cycles ω d = 125.66 1− (.224) = 122.467 rad/s 2 (0.6 + (0.224 )(125.66)( 0)) + (0)(122.467)2 2 A= 122.467 = 0.005 m ⎛ (0)(ω d ) ⎞ ⎟=0 φ = tan ⎜ ⎝ v0 + ζω n (0 )⎠ -1 ⇒ x( t ) = 0.005e −2 8.148t sin(122.467t ) University of Michigan © D. J. Inman 41/43 Use the undamped formula to get maximum acceleration: 2 ⎛ ⎞ v A = x 02 + ⎜ 0 ⎟ , ω n = 125.66, v 0 = 0.6, x 0 = 0 ⎝ωn ⎠ v0 0.6 A= m= m ωn ωn ⎛ 0.6 ⎞ max( x˙˙) = −ω A = −ω ⎜ ⎟ = (0.6)(125.66 m/s2 ) = 75.396 m/s2 ⎝ ωn ⎠ 2 n 2 n 2 75.396 m/s maximum acceleration = g = 7.68 g's 2 9.81 m/s University of Michigan © D. J. Inman 42/43 Here is a plot of the displacement response versus time University of Michigan © D. J. Inman 43/43 Example 1.3.3 Compute the form of the response of an underdamped system using the Cartesian form of the solution given in Window 1.5. sin(x + y) = sin x sin y + cos x cos y ⇒ x(t) = Ae−ζω n t sin(ω d t + φ ) = e−ζω n t (A1 sin ω d t + A2 cos ω d t) x(0) = x0 = e0 (A1 sin(0) + A2 cos(0)) ⇒ A2 = x0 x = −ζω n e−ζω n t (A1 sin ω d t + A2 cos ω d t) + ω d e−ζω n t (A1 cos ω d t − A2 sin ω d t) v0 = −ζω n (A1 sin 0 + x0 cos 0) + ω d (A1 cos 0 − x0 sin 0) v0 + ζω n x0 ⇒ A1 = ⇒ ωd ⎛ v + ζω n x0 ⎞ x(t) = e−ζω n t ⎜ 0 sin ω d t + x0 cos ω d t ⎟ ωd ⎝ ⎠ University of Michigan © D. J. Inman 44/43
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