BMES 345 CH03 Problem Set 20240402(1)

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BMES 345 CHAPTER 3 PROBLEMS: LINEAR VISCOELASTICITY Contents Problem 1: Spring-Dashpot Models ............................................................................................................................. 2 Problem 2: Spring-Dashpot Models ............................................................................................................................. 3 Problem 3: Viscoelasticity ............................................................................................................................................. 4 Problem 4: Viscoelasticity ............................................................................................................................................. 5 Problem 5: Spring-Dashpot Models ............................................................................................................................. 6 Problem 6: Spring-Dashpot Models ............................................................................................................................. 7 Problem 7: Spring-Dashpot Models ............................................................................................................................. 8 Problem 8: Spring-Dashpot Models ............................................................................................................................. 9 Problem 9: Spring-Dashpot Models ........................................................................................................................... 10 Problem 10: Spring-Dashpot Models ......................................................................................................................... 11 [Solution] Problem 1 ...................................................................................................................................................... 12 [Solution] Problem 2 ...................................................................................................................................................... 13 [Solution] Problem 3 ...................................................................................................................................................... 16 [Solution] Problem 4 ...................................................................................................................................................... 18 [Solution] Problem 5 ...................................................................................................................................................... 20 [Solution] Problem 6 ...................................................................................................................................................... 22 [Solution] Problem 7 ...................................................................................................................................................... 23 [Solution] Problem 8 ...................................................................................................................................................... 25 [Solution] Problem 9 ...................................................................................................................................................... 27 [Solution] Problem 10 .................................................................................................................................................... 28 1
Problem 1: Spring-Dashpot Models Match the creep curve with the corresponding spring-dashpot model. 2
Problem 2: Spring-Dashpot Models In a recent study by Rubiano et al ( J Mech Behav Biomed Mater 2016), researchers injected adipose- derived stem cells into the damaged hearts of hypertensive rats, and observed significant improvements in mechanical properties and clinical outcomes. One of the ways they measured improvements was via viscoelastic testing of the heart tissue. In this study, they modeled the viscoelasticity of the heart using the standard linear solid. Rubiano et al determined that the standard linear solid parameters for the normal, healthy heart tissue were E 1 = 13 kPa, E 2 = 15 kPa, and η = 2,380 kPa-s. Using this information, sketch the following (make sure the curves and axes are clearly and properly labeled): a) A creep curve for the heart tissue, using an applied stress of σ 0 = 2 kPa. b) A stress relaxation curve for the heart tissue, using an applied strain of ε 0 = 0.05. 3
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Problem 3: Viscoelasticity Consider the following stress relaxation curve for an osteoblast (bone-producing cell) subjected to a constant strain ε 0 = 0.03: 0 50 100 150 200 250 300 350 400 0 5 10 15 20 25 30 35 40 45 50 Stress (Pa) Time (s) Based on the stress vs. time graph, determine the following: a) Instantaneous modulus b) Equilibrium modulus c) Relaxation time constant d) If the same osteoblast was subjected to a creep test at a constant stress σ 0 = 600 Pa, what would the instantaneous and equilibrium (asymptotic) strains be? Sketch the creep curve with appropriately labeled and scaled axes. 4
Problem 4: Viscoelasticity In a study of how botox-induced unloading of the Achilles tendon altered the biomechanical properties of the tissue (Khayyeri et al, Scientific Reports 2017), researchers measured the viscoelastic properties of rat Achilles tendons using a creep test. Using a constant applied stress of σ 0 = 16 MPa , the researchers obtained the following creep curve: 0.00 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0.16 0.18 0.20 0.22 0 30 60 90 120 150 Normal Strain Time (s) Find the following parameters (remember to show your work): a) Instantaneous modulus E 0 b) Equilibrium modulus E c) Creep time constant τ c 5
Problem 5: Spring-Dashpot Models Download the Excel file containing stress relaxation data (stress_relax.xlsx) from BB Learn. In that file, you have the stress relaxation response of a breast cancer cell subjected to a normal strain ε = 0.05. You also have a curve fit (which matches the general form of the stress relaxation response of a standard linear solid): σ ( t )= E 2 ε 0 exp ( t τ ) + E 1 ε 0 Determine the parameters E 1 , E 2 , and τ of the breast cancer cell using the standard linear solid model. a) Using the equation above and the definitions of instantaneous modulus, equilibrium modulus, and the characteristic time constant, estimate the parameters. b) Now use the Excel Solver add-in to minimize the sum of squared error term to come up with a “best fit” curve. 6
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Problem 6: Spring-Dashpot Models Derive the general constitutive equations for the (a) Maxwell model and (b) Voigt model. Do this WITHOUT copying from the course notes – this is to help you understand where the model equations come from. 7
Problem 7: Spring-Dashpot Models Developing strategies to regenerate peripheral nerves is an ongoing area of research. Understanding the mechanical properties of human peripheral nerves is one component in developing functional replacement tissues. In a previous study (Xu et al., Comparison of viscoelasticity between normal human sciatic nerve and amniotic membrane, Neural Regeneration Research , 2013), the stress relaxation behavior of human sciatic nerves was measured. The average stress relaxation curve from that study is shown below (for an applied constant strain ε 0 = 0.0863): 0.15 0.20 0.25 0.30 0.35 0.40 0 1000 2000 3000 4000 5000 6000 7000 8000 Stress (MPa) Time (s) Using these data, and assuming the human sciatic nerve can be idealized by the standard linear solid spring-dashpot model, estimate the model parameters E 1 , E 2 , and η (the constants for the two springs and the dashpot in the standard linear solid model). 8
Problem 8: Spring-Dashpot Models The standard linear solid model is the most basic spring-dashpot model that (somewhat) accurately simulates stress relaxation and creep of a linear viscoelastic solid. In class and in the course notes, we learned about the standard linear solid in the Maxwell representation: Source: Public domain (via Wikimedia Commons) Now consider the Kelvin (or Voigt) representation of the standard linear solid, where you have a Voigt element in series with another spring: Source: Public domain (via Wikimedia Commons) Using the Kelvin representation, please derive the following (note that the equations you derive will be different than the course notes, because of the different mechanical circuit configuration): a) Creep compliance J(t) b) Instantaneous modulus E 0 c) Equilibrium modulus E d) Creep time constant τ creep 9
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Problem 9: Spring-Dashpot Models Derive the stress relaxation response of the Generalized Maxwell Model: 10
Problem 10: Spring-Dashpot Models Articular cartilage exhibits stress relaxation behavior that can be modeled using spring-dashpot models of viscoelasticity. Below is a plot of stress versus time for a sample of tibial articular cartilage obtained from a turkey knee (these are actual data obtained by students in BMES 301 Experimental Biomechanics): 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0 10 20 30 40 50 60 Stress (MPa) Time (s) These data were obtained by performing an unconfined compression stress relaxation test at a fixed strain of ε = 0.10. Using your knowledge of spring-dashpot models and the accompanying data (in the Excel spreadsheet cartilage.xlsx), please complete the following: a) Fit the standard linear solid stress relaxation response to the above data. Determine E 1 , E 2 , and η. b) Fit the stress relaxation response to the 5 parameter version of the generalized Maxwell model. Determine E , E 1 , E 2 , η 1 , and η 2 . c) Which model fits the response better? 11
[Solution] Problem 1 Match the creep curve with the corresponding spring-dashpot model. Maxwell model Kelvin-Voigt model Standard linear solid 12
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[Solution] Problem 2 In a recent study by Rubiano et al ( J Mech Behav Biomed Mater 2016), researchers injected adipose- derived stem cells into the damaged hearts of hypertensive rats, and observed significant improvements in mechanical properties and clinical outcomes. One of the ways they measured improvements was via viscoelastic testing of the heart tissue. In this study, they modeled the viscoelasticity of the heart using the standard linear solid. Rubiano et al determined that the standard linear solid parameters for the normal, healthy heart tissue were E 1 = 13 kPa, E 2 = 15 kPa, and η = 2,380 kPa-s. Using this information, sketch the following (make sure the curves and axes are clearly and properly labeled): a) A creep curve for the heart tissue, using an applied stress of σ 0 = 2 kPa. To plot the creep (or stress relaxation) curve, we will need to know the curve’s initial, equilibrium, and transient characteristics. These are best exemplified by the instantaneous modulus, equilibrium modulus, and relevant time constant. We can either recall how these constants relate to the standard linear solid parameters, or use the standard linear solid equations to find them: E 0 = E 1 + E 2 = 28 kPa E = E 1 = 13 kPa τ creep = η ( E 1 + E 2 ) E 1 E 2 = ( 2380 kPa s )( 28 kPa ) ( 13 kPa )( 15 kPa ) = 342 seconds Now we can use the instantaneous modulus and equilibrium modulus to find the strain at t = 0 and at long time: ε ( 0 ) = σ 0 E 0 = 2 kPa 28 kPa = 0.071 ε t→ ∞ = σ 0 E = 2 kPa 13 kPa = 0.154 We can also use our “rule of thumb” to estimate the strain when t = 342 seconds (the creep time constant): ∆ ε = 0.154 0.071 = 0.083 0.071 + ( 0.667 ) ( 0.083 ) = 0.126 We can now plot the creep curve: 13
b) A stress relaxation curve for the heart tissue, using an applied strain of ε 0 = 0.05. For the stress relaxation curve, we first need to find the relaxation time constant: τ relaxation = η E 2 = 2380 kPa s 15 kPa = 159 seconds Now we can use the instantaneous modulus and equilibrium modulus to find the stress at t = 0 and at long time: σ ( 0 ) = E 0 ε 0 = ( 28 kPa ) ( 0.05 ) = 1.4 kPa σ t→∞ = E ε 0 = ( 13 kPa ) ( 0.05 ) = 0.65 kPa We can also use our “rule of thumb” to estimate the stress when t = 159 seconds (the relaxation time constant): ∆ σ = 1.4 kPa 0.65 kPa = 0.75 kPa 1.4 kPa ( 0.667 ) ( 0.75 kPa ) = 0.90 kPa We can now plot the stress relaxation curve: 14
15
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[Solution] Problem 3 Consider the following stress relaxation curve for an osteoblast (bone-producing cell) subjected to a constant strain ε 0 = 0.03: 0 50 100 150 200 250 300 350 400 0 5 10 15 20 25 30 35 40 45 50 Stress (Pa) Time (s) Based on the stress vs. time graph, determine the following: a) Instantaneous modulus The instantaneous modulus is the effective elastic modulus of the material at very short times, effectively t = 0. In the stress relaxation curve above, we see that the stress at t = 0 is ~390 Pa, so we can use that info and the constant applied strain = 0.03 to find the instantaneous modulus: E 0 = σ ( 0 ) ε 0 = 390 Pa 0.03 = 13,000 Pa = 13 kPa b) Equilibrium modulus The equilibrium modulus is the effective elastic modulus of the material as it approaches its equilibrium (fully relaxed) stress. Looking at the stress relaxation curve above, we estimate the equilibrium stress to be ~90 Pa. E = σ t→∞ ε 0 = 90 Pa 0.03 = 3,000 Pa = 3 kPa c) Relaxation time constant 16
Per our rule of thumb, the relaxation time constant is equal to the time it takes for the material to undergo ~66% of its total relaxation. In this case, the amount of relaxation is given by: = 390 Pa 90 Pa = 300 Pa Therefore, 66% relaxation occurs at: 390 Pa ( 2 3 ) ( 300 Pa ) = 190 Pa At σ(t) = 190 Pa, t is approximately 5 to 7 seconds. Therefore, our relaxation time constant is around 5 – 7 seconds . d) If the same osteoblast was subjected to a creep test at a constant stress σ 0 = 600 Pa, what would the instantaneous and equilibrium (asymptotic) strains be? Sketch the creep curve with appropriately labeled and scaled axes. We can use our instantaneous and equilibrium modulus values to predict the instantaneous and equilibrium strain values for our osteoblast under a constant stress = 600 Pa: ε ( 0 ) = σ 0 E 0 = 600 Pa 13,000 Pa = 0.046 ε t→ ∞ = σ 0 E = 600 Pa 3,000 Pa = 0.2 The instantaneous strain value is the strain at t = 0. The equilibrium strain value is the asymptote that our creep curve should approach. In terms of time scale, creep and stress relaxation occur over similar (but not the same) time scales, so plotting 0 – 50 s is a reasonable guess: 0.00 0.05 0.10 0.15 0.20 0.25 0 10 20 30 40 50 Strain Time (s) 17
[Solution] Problem 4 In a study of how botox-induced unloading of the Achilles tendon altered the biomechanical properties of the tissue (Khayyeri et al, Scientific Reports 2017), researchers measured the viscoelastic properties of rat Achilles tendons using a creep test. Using a constant applied stress of σ 0 = 16 MPa , the researchers obtained the following creep curve: 0.00 0.02 0.04 0.06 0.08 0.10 0.12 0.14 0.16 0.18 0.20 0.22 0 30 60 90 120 150 Normal Strain Time (s) Find the following parameters (remember to show your work): a) Instantaneous modulus E 0 The instantaneous modulus is the effective elastic modulus at the instant that the constant stress is applied in this creep test, i.e., at t = 0: E 0 = σ 0 ε ( 0 ) Looking at the graph, we can approximate the strain at t = 0; any value between about 0.04 to 0.05 is probably reasonable. I will use 0.05: E 0 = σ 0 ε ( 0 ) = 16 MPa 0.05 = 320 MPa b) (10 points) Equilibrium modulus E The equilibrium modulus is the effective elastic modulus after the constant stress has been held for a long time. It is related to the asymptotic strain value that the creep curve approaches at t →∞: 18
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E = σ 0 lim t→∞ ε ( t ) Looking at the graph, we can approximate the asymptotic strain at some value around 0.20 – 0.21. I will use 0.20: E = σ 0 lim t→ ∞ ε ( t ) = 16 MPa 0.20 = 80 MPa c) (10 points) Creep time constant τ c The creep time constant is a characteristic time that describes how quickly the material creeps, in other words how quickly it approaches the asymptotic strain value. A good approximation is that the time constant is the time it takes for two-thirds or 66% of the creep deformation to occur (it is actually the time it takes for 1-1/ e or 63.2% of the creep to occur, but two-thirds is close enough). First we determine what the total creep deformation is: lim t→ ∞ ε ( t ) ε ( 0 ) 0.20 0.05 = 0.15 Then we take 66% of that deformation and add it to the initial strain, to find the target strain value: 0.05 + ( 0.667 ) ( 0.15 ) = 0.15 So, if we look at our graph and find the time where ε(t) = 0.15, that should be approximately the time constant: ε ( t ) = 0.15 →τ ≈ 10 s 19
[Solution] Problem 5 Download the Excel file containing stress relaxation data (stress_relax.xlsx) from BB Learn. In that file, you have the stress relaxation response of a breast cancer cell subjected to a normal strain ε = 0.05. You also have a curve fit (which matches the general form of the stress relaxation response of a standard linear solid): σ ( t )= E 2 ε 0 exp ( t τ ) + E 1 ε 0 Determine the parameters E 1 , E 2 , and τ of the breast cancer cell using the standard linear solid model. a) Using the equation above and the definitions of instantaneous modulus, equilibrium modulus, and the characteristic time constant, estimate the parameters. If you look at the form of the stress relaxation function, you can note that the instantaneous modulus = E 1 + E 2 , the equilibrium modulus = E 1 , and the relaxation time constant = τ . σ ( 0 ) = E 2 ε 0 + E 1 ε 0 σ ( 0 ) ε 0 = E 0 = E 1 + E 2 lim t→ ∞ σ ( t )= σ t →∞ = E 1 ε 0 σ t →∞ ε 0 = E = E 1 With this, you can make some good guesses at what they should be. E = σ t→∞ ε 0 = 10 Pa 0.05 = 200 Pa→ E 1 = 200 Pa E 1 + E 2 = E 0 = σ ( 0 ) ε 0 = 35 Pa 0.05 = 700 Pa→E 2 = 500 Pa Finally, if you look at the stress relaxation data, the time constant is on the order of 10 seconds, i.e., τ = 10 s. Inputting these values into the Excel spreadsheet, we see that the fit is decent, but the equilibrium modulus is too high (the asymptote is closer to 8 Pa, rather than 10 Pa) and the time constant should be lower. We can still get better estimated values. First, we can note that the equilibrium stress is closer to 8 Pa, giving us: E 1 = E = σ t→ ∞ ε 0 = 8 Pa 0.05 = 160 Pa E 1 + E 2 = 700 Pa→E 2 = 540 Pa To get closer to the actual time constant, we can calculate the change in stress (the total amount of stress relaxation). My rule of thumb is that the time constant is the time it takes for 66% of the relaxation to occur: 20
∆ σ = σ ( 0 ) σ t→ ∞ = 35 Pa 8 Pa = 27 Pa 35 Pa ( 0.66 ) ( 27 Pa ) = 17 Pa If we read the graph, the stress reaches ~17 Pa at ~6 seconds. If we input these values, we see that the fit is better than our initial guess. b) Now use the Excel Solver add-in to minimize the sum of squared error term to come up with a “best fit” curve. We can then use Excel’s Solver add-in and these values as guess values. The Solver add-in (set to minimize the error term) gives us the following fit parameters: E 2 = 513.0 Pa E 1 = 167.2 Pa τ = 6.85 s 0 10 20 30 40 0 10 20 30 40 50 Stress (Pa) Time (s) 21
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[Solution] Problem 6 Derive the general constitutive equations for the (a) Maxwell model and (b) Voigt model. Do this WITHOUT copying from the course notes – this is to help you understand where the model equations come from. The derivations are provided in detail in the course notes. Please refer to them and compare to your own derivations. 22
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[Solution] Problem 7 Developing strategies to regenerate peripheral nerves is an ongoing area of research. Understanding the mechanical properties of human peripheral nerves is one component in developing functional replacement tissues. In a previous study (Xu et al., Comparison of viscoelasticity between normal human sciatic nerve and amniotic membrane, Neural Regeneration Research , 2013), the stress relaxation behavior of human sciatic nerves was measured. The average stress relaxation curve from that study is shown below (for an applied constant strain ε 0 = 0.0863): 0.15 0.20 0.25 0.30 0.35 0.40 0 1000 2000 3000 4000 5000 6000 7000 8000 Stress (MPa) Time (s) Using these data, and assuming the human sciatic nerve can be idealized by the standard linear solid spring-dashpot model, estimate the model parameters E 1 , E 2 , and η (the constants for the two springs and the dashpot in the standard linear solid model). We cannot directly determine all the model parameters from the data, but we can find the instantaneous modulus, equilibrium modulus, and stress relaxation time constant from the graph. We can then relate these values to the model parameters. First we find the instantaneous modulus, observing that the stress at t = 0 is approximately 0.4 MPa: E 0 = σ ( 0 ) ε 0 = 0.4 MPa 0.0863 = 4.63 MPa Then we find the equilibrium modulus by observing that the sciatic nerve appears to relax to a relatively constant stress of ~0.25 MPa: E = σ t→ ∞ ε 0 = 0.25 MPa 0.0863 = 2.90 MPa For the time constant, we use our rule of thumb that it is approximately equal to when the material has relaxed about 2/3 of the way from its peak stress value. Since the sciatic nerve appears to relax from 0.4 MPa to 0.25 MPa (a change of 0.15 MPa), 2/3 would be a change of 0.1 MPa, or 0.4 – 0.1 = 0.3 MPa stress. Looking at the graph, the nerve relaxes to 0.3 MPa at around 400-500 s. We will estimate a value of 400 s for the relaxation time constant . 23
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Now we relate these empirically determined values to the model parameters. Using the relaxation modulus E(t) for the standard linear solid, we see that the equilibrium modulus is given by: E = E 1 = 2.90 MPa The instantaneous modulus is given by: E 0 = E 1 + E 2 → E 2 = E 0 E 1 = 4.63 MPa 2.90 MPa = 1.73 MPa Finally, the relaxation time constant is given by: τ R = η E 2 →η = E 2 τ R = ( 1.73 MPa ) ( 400 s ) = 692 MPa s 24
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[Solution] Problem 8 The standard linear solid model is the most basic spring-dashpot model that (somewhat) accurately simulates stress relaxation and creep of a linear viscoelastic solid. In class and in the course notes, we learned about the standard linear solid in the Maxwell representation: Source: Public domain (via Wikimedia Commons) Now consider the Kelvin (or Voigt) representation of the standard linear solid, where you have a Voigt element in series with another spring: Source: Public domain (via Wikimedia Commons) Using the Kelvin representation, please derive the following (note that the equations you derive will be different than the course notes, because of the different mechanical circuit configuration): a) Creep compliance J(t) In the Kelvin representation, we have a spring in series with a Voigt element. When spring- dashpot elements are in series, their strain responses sum, such that: ε ( t ) = ε 1 ( t ) + ε Voigt ( t ) Since we are considering what happens under creep, we can use the creep responses of the spring (really just the spring’s response to a constant stress) and the Voigt model and substitute them in. Since the elements are in series, they will experience the same constant stress σ 0 : ε ( t ) = σ 0 E 1 + σ 0 E 2 [ 1 exp ( E 2 η t ) ] We then find the creep compliance: 25
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J ( t ) = ε ( t ) σ 0 = 1 E 1 + 1 E 2 [ 1 exp ( E 2 η t ) ] b) Instantaneous modulus E 0 To find the instantaneous modulus, we note the following relationship with the creep compliance: J ( 0 ) = 1 E 0 J ( 0 ) = 1 E 1 E 0 = E 1 c) Equilibrium modulus E To find the equilibrium modulus, we note the following relationship with the creep compliance: lim t→ ∞ J ( t ) = 1 E lim t→ ∞ J ( t ) = 1 E 1 + 1 E 2 = E 1 + E 2 E 1 E 2 E = E 1 E 2 E 1 + E 2 d) Creep time constant τ creep The creep time constant is the negative reciprocal of the coefficient of t in the exponential term: τ creep = η E 2 26
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[Solution] Problem 9 Derive the stress relaxation response of the Generalized Maxwell Model: We can observe that the stress relaxation response of this circuit will be (this follows from our rules governing stress and strain in a spring-dashpot mechanical circuit): σ ( t ) = σ spring ( t ) + σ 1 ( t ) + σ 2 ( t ) + + σ n 1 ( t ) + σ n ( t ) σ ( t ) = σ spring ( t ) + i = 1 n σ i ( t ) Under stress relaxation conditions, we know that elements 1 through n are all Maxwell elements, and therefore exhibit the stress relaxation response of the Maxwell model: σ ( t ) = E ε 0 + ε 0 ( i = 1 n E i e E i η i t ) 27
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[Solution] Problem 10 Articular cartilage exhibits stress relaxation behavior that can be modeled using spring-dashpot models of viscoelasticity. Below is a plot of stress versus time for a sample of tibial articular cartilage obtained from a turkey knee (these are actual data obtained by students in BMES 301 Experimental Biomechanics): 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0 10 20 30 40 50 60 Stress (MPa) Time (s) These data were obtained by performing an unconfined compression stress relaxation test at a fixed strain of ε = 0.10. Using your knowledge of spring-dashpot models and the accompanying data (in the Excel spreadsheet cartilage.xlsx), please complete the following: a) Fit the standard linear solid stress relaxation response to the above data. Determine E 1 , E 2 , and η. There are several different ways you can perform this curve fit. I have provided a curve fitting process in the Excel spreadsheet. Essentially, the spreadsheet uses the following equation: σ ( t ) = E 2 ε 0 e E 2 η t + E 1 ε 0 28
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By inputting in guess values for the three parameters and then letting Excel’s Solver add-in change those values until the differences between the data and the model are minimized, we get a curve of (approximate) best fit. You could also do curve fitting in MATLAB, either programmatically, or using the Curve Fitting toolbox. If you use MATLAB, you will need to input a custom equation, and use the stress relaxation response of the SLS as that equation. In my curve fitting solution, the nRMSE is the normalized root mean squared error, which is a measure of goodness of fit. An nRMSE of 0.1 is approximately equal to an average of 10% difference between the model and the data. The curve fit I obtained using the standard linear solid yielded the following curve: 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0 10 20 30 40 50 60 Stress (MPa) Time (s) We obtained the following results from the curve fit: nRMSE = 0.0284 E 1 = 0.68 MPa E 2 = 4.20 MPa η = 33.26 MPa s 29
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We note that the standard linear solid fit does not do a good job predicting the initial peak stress, and it also approaches the equilibrium (asymptotic) stress much faster than the data appear to. b) Fit the stress relaxation response to the 5 parameter version of the generalized Maxwell model. Determine E , E 1 , E 2 , η 1 , and η 2 . We can follow the same approach as in part a, we just need to use the stress relaxation response for the 5 parameter version of the generalized Maxwell model. The 5 parameter solid = generalized Maxwell model with 2 total Maxwell elements. For stress relaxation, the response of this model is given by: σ ( t ) = E 1 ε 0 e E 1 η 1 t + E 2 ε 0 e E 2 η 2 t + E ε 0 Running the curve fit, I obtained the following: 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0 10 20 30 40 50 60 Stress (MPa) Time (s) We obtained the following results from the curve fit: 30
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nRMSE = 0.0064 E = 0.52 MPa E 1 = 2.79 MPa η 1 = 4.73 MPa s E 2 = 2.75 MPa η 2 = 39.04 MPa s The nRMSE is clearly much improved, but we do not even need to look at that value. Just by inspecting the curve fit, we can see that the 5 parameter solid does a much better job over the entirety of the data set, and in particular fits the instantaneous response and behavior near 60 seconds much better. c) Which model fits the response better? Based on the nRMSE, and a qualitative assessment of how well the two models approximate the data, it is clear that the 5 parameter model is much better for modeling articular cartilage stress relaxation. 31
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