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Toward overcoming the concept of effective stiffness and damping in the dynamic analysis of structures with viscoelastic components Alessandro Palmeri School of Engineering, Design and Technology University of Bradford, West Yorkshire, UK CC2009, Funchal, 3rd September 2009
a.palmeri@lboro.ac.uk
Outline Motivation of this study Viscoelastic ≠ Elastic + Viscous Linear viscoelastic solids Generalized Maxwell’s model Laguerre Polynomial Approximation State-space equations of motion Numerical scheme of solution Validation Elastic beam with VE strips (efficiency) Cable beam made of VE material (versatility) Concluding remarks
Motivation of this study 1.
Viscoelastic damping in... Wind Engineering The first application of viscoelastic materials in Civil Engineering was aimed at mitigating the wind-induced vibration of the “Twin Towers” in the World Trade Center
Earthquake Engineering Seismic applications of viscoelastic dampers are more recent, e.g. through the use of elastomeric materials placed in the beam-to-column joints of semi-rigid steel frames
Railway Engineering In the innovative track of the Milan subway, a single elastomeric pad is placed under the base-plate, aimed at improving passengers’ comfort and extending components’ fatigue life
Motivation of this study Current state-of-practice, for the time-domain dynamic analysis of structures incorporating viscoelastic members:  Substituting the actual viscoelastically damped structure with an equivalent system featuring a pure viscous damping ≠
Motivation of this study Manufacturers of viscoelastic devices encourage the use this crude approximation in civil engineering applications: They are interested in simplifying as much as possible the design procedures for structures embedding their products
Motivation of this study As an example, elastomeric seismic isolators are generally advertised and sold with a table listing somehow equivalent values of elastic stiffness and viscous damping ratio
Motivation of this study Unfortunately, many experimental and analytical studies confirm that the real dynamic behaviour of viscoelastic devices can be very complicated,  and cannot be bend to the interests of manufacturers and designers
Motivation of this study Two well-established beliefs continue to underpin use and abuse of the concepts of effective stiffness and damping for viscoelastically damped structures This simplification always provides good approximations, which are acceptable for design purposes (FALSE!) Palmeri et al (2004), J ENG MECH-ASCE 130, 1052 Palmeri et al (2004), WIND STRUCT 7, 89 Muscolino,  Palmeri & Ricciarelli (2005), EARTHQUAKE ENG STRUC 34, 1129 Palmeri & Ricciarelli (2006), J WIND ENG IND AEROD 94, 377 Palmeri (2006), ENG STRUCT 28, 1197 Muscolino & Palmeri (2007), INT J SOLIDS STRUCT 44, 1317 More refined approaches are computationally too expensive, and hence suitable just for a few very important constructions (FALSE!)
LINEAR viscoelastic SOLIDS 2.
Linear viscoelastic solids The term viscoelastic refers to a whole spectrum of possible mechanical characteristics At one extreme we have viscous fluids, e.g. air and water At the other end we have elastic solids, e.g. metals Viscoelastic behaviour may combine viscous and elastic properties in any relative portion
Linear viscoelastic solids Two experimental tests can be used to reveal the viscoelastic behaviour of solids CREEP TEST: The specimen is subjected to a constant state of stress, and the resulting variation in strain e as a function of time t is determined (the strain variation after the stress is removed corresponds to the recovery test) Creep function
Linear viscoelastic solids Two experimental tests can be used to reveal the viscoelastic behaviour of solids RELAXATION TEST: The specimen is subjected to a constant state of strain, and the resulting variation in stress s as a function of time t is determined Relaxation function
Linear viscoelastic solids The Kelvin-Voigt model, made of a linear spring in parallel with a linear dashpot, is widely adopted in Structural Dynamics Interestingly, the relaxation test is impossible for this model
Linear viscoelastic solids In the Standard Linear Solid (SLS) model the dashpot is substituted with a Maxwell’s element This model allows describing (at least qualitatively) creep and relaxation processes of actual linear viscoelastic solids
Linear viscoelastic solids The reaction force r(t) experienced by a one-dimensional viscoelastic component can be expressed in the time domain through a convolution integral involving the time derivative of the associated deformation q(t) pure elastic part
Relaxation function(time domain) j(t) temperature
Linear viscoelastic solids The complex-valued dynamic modulus k(w) enables one to represent the viscoelastic behaviour in the frequency domain 	where the REal part is the storage modulusk(w), which is a measure of the apparent rigidity at a given circular frequency w the IMaginary part is the loss modulusk(w), which is proportional to the energy dissipated in a harmonic cycle Dynamic modulus and relaxation function are interrelated as
DYNAMIC MODULUS(Frequency domain) k(w) temperature temperature Storage modulus (rigidity) Loss modulus (dissipation)
Linear viscoelastic solids The frequency-dependent behaviour of viscoelastic materials cannot be captured by the 2-parameter Kelvin-Voigt model Kelvin-Voigt Standard Linear Solid storage storage loss loss
Linear viscoelastic solids Dilemma On the one hand, more refined models should be used to represent the dynamic behaviour of actual viscoelastic systems On the other hand, convolution integrals in the time domain are computationally burdensome Proposed approach: Implementation of state-space models, in which a set of additional state variables li(t) takes into account the frequency-dependent behaviour of these systems
Linear viscoelastic solids ,[object Object]
The relaxation function is the superposition of  exponential functions having different relaxation times tiThe time variation of the i-th internal variable is given by
Linear viscoelastic solids As an alternative, the Laguerre’s Polynomial Approximation can be used The relaxation function is given by a single exponential function modulated by a polynomial of order  The evolution in time of the i-th internal variable is ruled by t0 being a “characteristic”  relaxation time of the system
Linear viscoelastic solids GM and LPA models have relative pros and cons Palmeri et al (2003), J ENG MECH-ASCE 129, 715 	GM model is based on a classical chain of elastic springs and viscous dashpots 	The internal variable li(t) is ideally the strain in the elastic spring of the i-th Maxwell’s element The experimental evaluation of the 2 parameters of the GM model is generally pursued with a non-linear regression based on the results of small-amplitude vibration tests, which unfortunately turns out to be an ill-posed problem Orbey & Dealy (1991),  J RHEOL  35 1035 Mustapha & Phillips (2000), J PHYS D APPL PHYS 33, 1219  	The LPA techniques just require a relaxation test to obtain the +1 parameters characterizing this model ,[object Object],[object Object]
State-space equations of motion The dynamic equilibrium of a linear structure, having nDoFs and r linear viscoelastic components, is governed in the time domain by a set of n coupled integro-differential equations of second order The following modal transformation of coordinates can be used in order to reduce the size of the problem (the first m ≤ n modes of vibration will be retained in the analysis) Palmeri et al. (2004), WIND STRUCT 7, 89 	which requires the solution of a classical real-valued eigenproblem
State-space equations of motion In the reduced modal space the equations of motion take the form The time-dependent modal relaxation matrix is given by the superposition of the relaxation functions of the r viscoelastic components
State-space equations of motion If the distribution of the viscoelastic components is almost homogeneous along the structural system, then the out of diagonal terms in the modal relaxation matrix becomes negligible, and the equations of motion are decoupled in the modal space Although uncoupled, modal oscillators are viscoelastically damped
State-space equations of motion In the general case where the modal relaxation matrix is sparse (non-classically non-viscously damped structure), it is always possible to rewrite this quantity as superposition of  terms For the LPA technique,  i-th rigidity matrix Ri and i-th elementary  relaxation function gi(t) particularize as Rj,i being the j-thLaguerre’s rigidity of the i-th viscoelastic component
State-space equations of motion Analogously to the one-dimensional case, the matrix G appearing in the convolution integral in the modal equations of motion can be turned into a linear combination of  arrays of internal variables The i-th one (of size m) is ruled by
State-space equations of motion The modal equations of motion then become 	Interestingly, the modal coordinates in the array q(t) are coupled just by the Laguerre’s rigidity matrices Ri Considering also the linear differential equations ruling the arrays li(t), the following (2+)m-dimensional state-space form can be obtained
State-space equations of motion Or, equivalently 	where
Numerical scheme of solution 4.
Numerical scheme of solution Under the assumption that the external excitation varies linearly in each time step Dt, the exact time-domain response can be posed in the form 	where all the integration operators Q and G can be evaluated in closed form
Numerical scheme of solution Classical state variables
Numerical scheme of solution Additional state variables
Numerical scheme of solution The two state arrays x(t) and y(t) are coupled, since the traditional state variables at the end of the time step, x(t+Dt), depend on the additional state variables at the same instant, y(t+Dt), and vice versa
Numerical scheme of solution Rearranging the equations, however, a new form can be derived, which leads to an alternative, and very effective, solution in cascade The over-arc denotes the updated operators In most of the cases E is diagonally dominant
Validation:EFFICIENCY 5.1
Validation / Efficiency  Proposed numerical solution vs. SIDE (System of Integro-Differential Equations) scheme base on the Newmark’sb method (constant average acceleration method) Patlashenko, Givoli & Barbone (2001), COMPUT METHOD APPL M 190, 5691 FEM model of a slender cantilever beam, with no inherent damping, provided with a set of perfectly bonded viscoelastic strips
Validation / Efficiency  Dimensionless relaxation function of the viscoelastic strips Storage Dimensionless dynamic modulus for the viscoelastic strips Loss
Validation / Efficiency  Convergence (percentage variation into parentheses) M= number of elements in the transverse direction of the beam Q = number of quadrilateral elements  r = number of viscoelastic springs in the FEM model n = number of DoFs W1 = undamped frequency of vibration w1 = damped frequency of vibration
Validation / Efficiency  Dynamic response of the slender beam for coarse (left) and fine (right) meshes Proposed approach and Nodal SIDE (reference solution) are in excellent agreement n = 40 n = 5,440
Validation / Efficiency  Computational times required by different analyses Numerical schemes have been implemented in Mathematica 6.0, and results have been obtained with a Microsoft Windows PC equipped with Dual-Core AMD Athlon 64 X2 processor at 3.01 GHz and with 1.96 GB of RAM. The selected time step was Dt= 0.1 ms, corresponding to 5,000 time steps for each analysis
Validation:Versatility 5.2
Validation / Versatility Small-amplitude vibration of a symmetric concave cable beam made of viscoelastic materials The structure is 10 m long and 1 m deep Suspension cable , prestressing cable and vertical ties are made of different type-A, type-B and type-C viscoelastic materials Main cables are connected by n-1 vertical ties Four configurations are considered having a different values of n= 4, 8, 24, 96 Configuration at rest of the cable beam under investigation, with indication of input F1(t) and location of the selected outputs hi(t)
Validation / Versatility Relaxation functions Storage moduli Loss moduli
Validation / Versatility Modulus of the FRF with input F1 and output h1 for different numbers of DoFsn and modal coordinates m The Modal Strain Energy (MSE) method substitutes the actual viscoelastically damped structure with an equivalent system featuring a pure viscous damping
Validation / Versatility Percentage error in the FRF with input F1 and output h1 for different numbers of DoFsn and modal coordinates m
Validation / Versatility Time histories of the vertical vibration at various locations of the objective cable beam with n=8 divisions under impulsive loading The low-frequency vibrations are damped first    The inaccurate prediction of the MSE method in this frequency range does not propagate along the cable beam
Validation / Versatility Time histories of the vertical vibration at various locations of the objective cable beam with n=8 divisions under sweep excitation
Concluding remarks 6
Concluding remarks  A novel time-domain numerical scheme for the dynamic analysis of structures with viscoelastic components has been proposed and numerically validated The goal is to overcome the popular concepts of equivalent values of elastic stiffness and viscous damping State-space equations of motion have been presented in the modal space A non-proportional proportional distribution of viscoelastic components has been considered, in so removing the most severe limitation of previous formulations A cascade scheme has been derived by decoupling in each time step traditional state variables and additional internal variables Joint use of modal analysis and improved cascade scheme lead to reduced size of the problem and low the computational effort Future investigations Nonlinear effects through a convenient reanalysis technique Semi-active control with the help of MR braces in series with VE  dampers

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Toward overcoming the concept of effective stiffness and damping in the dynamic analysis of structures with viscoelastic components

  • 1. Toward overcoming the concept of effective stiffness and damping in the dynamic analysis of structures with viscoelastic components Alessandro Palmeri School of Engineering, Design and Technology University of Bradford, West Yorkshire, UK CC2009, Funchal, 3rd September 2009
  • 3. Outline Motivation of this study Viscoelastic ≠ Elastic + Viscous Linear viscoelastic solids Generalized Maxwell’s model Laguerre Polynomial Approximation State-space equations of motion Numerical scheme of solution Validation Elastic beam with VE strips (efficiency) Cable beam made of VE material (versatility) Concluding remarks
  • 5. Viscoelastic damping in... Wind Engineering The first application of viscoelastic materials in Civil Engineering was aimed at mitigating the wind-induced vibration of the “Twin Towers” in the World Trade Center
  • 6. Earthquake Engineering Seismic applications of viscoelastic dampers are more recent, e.g. through the use of elastomeric materials placed in the beam-to-column joints of semi-rigid steel frames
  • 7. Railway Engineering In the innovative track of the Milan subway, a single elastomeric pad is placed under the base-plate, aimed at improving passengers’ comfort and extending components’ fatigue life
  • 8. Motivation of this study Current state-of-practice, for the time-domain dynamic analysis of structures incorporating viscoelastic members: Substituting the actual viscoelastically damped structure with an equivalent system featuring a pure viscous damping ≠
  • 9. Motivation of this study Manufacturers of viscoelastic devices encourage the use this crude approximation in civil engineering applications: They are interested in simplifying as much as possible the design procedures for structures embedding their products
  • 10. Motivation of this study As an example, elastomeric seismic isolators are generally advertised and sold with a table listing somehow equivalent values of elastic stiffness and viscous damping ratio
  • 11. Motivation of this study Unfortunately, many experimental and analytical studies confirm that the real dynamic behaviour of viscoelastic devices can be very complicated, and cannot be bend to the interests of manufacturers and designers
  • 12. Motivation of this study Two well-established beliefs continue to underpin use and abuse of the concepts of effective stiffness and damping for viscoelastically damped structures This simplification always provides good approximations, which are acceptable for design purposes (FALSE!) Palmeri et al (2004), J ENG MECH-ASCE 130, 1052 Palmeri et al (2004), WIND STRUCT 7, 89 Muscolino, Palmeri & Ricciarelli (2005), EARTHQUAKE ENG STRUC 34, 1129 Palmeri & Ricciarelli (2006), J WIND ENG IND AEROD 94, 377 Palmeri (2006), ENG STRUCT 28, 1197 Muscolino & Palmeri (2007), INT J SOLIDS STRUCT 44, 1317 More refined approaches are computationally too expensive, and hence suitable just for a few very important constructions (FALSE!)
  • 14. Linear viscoelastic solids The term viscoelastic refers to a whole spectrum of possible mechanical characteristics At one extreme we have viscous fluids, e.g. air and water At the other end we have elastic solids, e.g. metals Viscoelastic behaviour may combine viscous and elastic properties in any relative portion
  • 15. Linear viscoelastic solids Two experimental tests can be used to reveal the viscoelastic behaviour of solids CREEP TEST: The specimen is subjected to a constant state of stress, and the resulting variation in strain e as a function of time t is determined (the strain variation after the stress is removed corresponds to the recovery test) Creep function
  • 16. Linear viscoelastic solids Two experimental tests can be used to reveal the viscoelastic behaviour of solids RELAXATION TEST: The specimen is subjected to a constant state of strain, and the resulting variation in stress s as a function of time t is determined Relaxation function
  • 17. Linear viscoelastic solids The Kelvin-Voigt model, made of a linear spring in parallel with a linear dashpot, is widely adopted in Structural Dynamics Interestingly, the relaxation test is impossible for this model
  • 18. Linear viscoelastic solids In the Standard Linear Solid (SLS) model the dashpot is substituted with a Maxwell’s element This model allows describing (at least qualitatively) creep and relaxation processes of actual linear viscoelastic solids
  • 19. Linear viscoelastic solids The reaction force r(t) experienced by a one-dimensional viscoelastic component can be expressed in the time domain through a convolution integral involving the time derivative of the associated deformation q(t) pure elastic part
  • 21. Linear viscoelastic solids The complex-valued dynamic modulus k(w) enables one to represent the viscoelastic behaviour in the frequency domain where the REal part is the storage modulusk(w), which is a measure of the apparent rigidity at a given circular frequency w the IMaginary part is the loss modulusk(w), which is proportional to the energy dissipated in a harmonic cycle Dynamic modulus and relaxation function are interrelated as
  • 22. DYNAMIC MODULUS(Frequency domain) k(w) temperature temperature Storage modulus (rigidity) Loss modulus (dissipation)
  • 23. Linear viscoelastic solids The frequency-dependent behaviour of viscoelastic materials cannot be captured by the 2-parameter Kelvin-Voigt model Kelvin-Voigt Standard Linear Solid storage storage loss loss
  • 24. Linear viscoelastic solids Dilemma On the one hand, more refined models should be used to represent the dynamic behaviour of actual viscoelastic systems On the other hand, convolution integrals in the time domain are computationally burdensome Proposed approach: Implementation of state-space models, in which a set of additional state variables li(t) takes into account the frequency-dependent behaviour of these systems
  • 25.
  • 26. The relaxation function is the superposition of  exponential functions having different relaxation times tiThe time variation of the i-th internal variable is given by
  • 27. Linear viscoelastic solids As an alternative, the Laguerre’s Polynomial Approximation can be used The relaxation function is given by a single exponential function modulated by a polynomial of order  The evolution in time of the i-th internal variable is ruled by t0 being a “characteristic” relaxation time of the system
  • 28.
  • 29. State-space equations of motion The dynamic equilibrium of a linear structure, having nDoFs and r linear viscoelastic components, is governed in the time domain by a set of n coupled integro-differential equations of second order The following modal transformation of coordinates can be used in order to reduce the size of the problem (the first m ≤ n modes of vibration will be retained in the analysis) Palmeri et al. (2004), WIND STRUCT 7, 89 which requires the solution of a classical real-valued eigenproblem
  • 30. State-space equations of motion In the reduced modal space the equations of motion take the form The time-dependent modal relaxation matrix is given by the superposition of the relaxation functions of the r viscoelastic components
  • 31. State-space equations of motion If the distribution of the viscoelastic components is almost homogeneous along the structural system, then the out of diagonal terms in the modal relaxation matrix becomes negligible, and the equations of motion are decoupled in the modal space Although uncoupled, modal oscillators are viscoelastically damped
  • 32. State-space equations of motion In the general case where the modal relaxation matrix is sparse (non-classically non-viscously damped structure), it is always possible to rewrite this quantity as superposition of  terms For the LPA technique, i-th rigidity matrix Ri and i-th elementary relaxation function gi(t) particularize as Rj,i being the j-thLaguerre’s rigidity of the i-th viscoelastic component
  • 33. State-space equations of motion Analogously to the one-dimensional case, the matrix G appearing in the convolution integral in the modal equations of motion can be turned into a linear combination of  arrays of internal variables The i-th one (of size m) is ruled by
  • 34. State-space equations of motion The modal equations of motion then become Interestingly, the modal coordinates in the array q(t) are coupled just by the Laguerre’s rigidity matrices Ri Considering also the linear differential equations ruling the arrays li(t), the following (2+)m-dimensional state-space form can be obtained
  • 35. State-space equations of motion Or, equivalently where
  • 36. Numerical scheme of solution 4.
  • 37. Numerical scheme of solution Under the assumption that the external excitation varies linearly in each time step Dt, the exact time-domain response can be posed in the form where all the integration operators Q and G can be evaluated in closed form
  • 38. Numerical scheme of solution Classical state variables
  • 39. Numerical scheme of solution Additional state variables
  • 40. Numerical scheme of solution The two state arrays x(t) and y(t) are coupled, since the traditional state variables at the end of the time step, x(t+Dt), depend on the additional state variables at the same instant, y(t+Dt), and vice versa
  • 41. Numerical scheme of solution Rearranging the equations, however, a new form can be derived, which leads to an alternative, and very effective, solution in cascade The over-arc denotes the updated operators In most of the cases E is diagonally dominant
  • 43. Validation / Efficiency Proposed numerical solution vs. SIDE (System of Integro-Differential Equations) scheme base on the Newmark’sb method (constant average acceleration method) Patlashenko, Givoli & Barbone (2001), COMPUT METHOD APPL M 190, 5691 FEM model of a slender cantilever beam, with no inherent damping, provided with a set of perfectly bonded viscoelastic strips
  • 44. Validation / Efficiency Dimensionless relaxation function of the viscoelastic strips Storage Dimensionless dynamic modulus for the viscoelastic strips Loss
  • 45. Validation / Efficiency Convergence (percentage variation into parentheses) M= number of elements in the transverse direction of the beam Q = number of quadrilateral elements r = number of viscoelastic springs in the FEM model n = number of DoFs W1 = undamped frequency of vibration w1 = damped frequency of vibration
  • 46. Validation / Efficiency Dynamic response of the slender beam for coarse (left) and fine (right) meshes Proposed approach and Nodal SIDE (reference solution) are in excellent agreement n = 40 n = 5,440
  • 47. Validation / Efficiency Computational times required by different analyses Numerical schemes have been implemented in Mathematica 6.0, and results have been obtained with a Microsoft Windows PC equipped with Dual-Core AMD Athlon 64 X2 processor at 3.01 GHz and with 1.96 GB of RAM. The selected time step was Dt= 0.1 ms, corresponding to 5,000 time steps for each analysis
  • 49. Validation / Versatility Small-amplitude vibration of a symmetric concave cable beam made of viscoelastic materials The structure is 10 m long and 1 m deep Suspension cable , prestressing cable and vertical ties are made of different type-A, type-B and type-C viscoelastic materials Main cables are connected by n-1 vertical ties Four configurations are considered having a different values of n= 4, 8, 24, 96 Configuration at rest of the cable beam under investigation, with indication of input F1(t) and location of the selected outputs hi(t)
  • 50. Validation / Versatility Relaxation functions Storage moduli Loss moduli
  • 51. Validation / Versatility Modulus of the FRF with input F1 and output h1 for different numbers of DoFsn and modal coordinates m The Modal Strain Energy (MSE) method substitutes the actual viscoelastically damped structure with an equivalent system featuring a pure viscous damping
  • 52. Validation / Versatility Percentage error in the FRF with input F1 and output h1 for different numbers of DoFsn and modal coordinates m
  • 53. Validation / Versatility Time histories of the vertical vibration at various locations of the objective cable beam with n=8 divisions under impulsive loading The low-frequency vibrations are damped first  The inaccurate prediction of the MSE method in this frequency range does not propagate along the cable beam
  • 54. Validation / Versatility Time histories of the vertical vibration at various locations of the objective cable beam with n=8 divisions under sweep excitation
  • 56. Concluding remarks A novel time-domain numerical scheme for the dynamic analysis of structures with viscoelastic components has been proposed and numerically validated The goal is to overcome the popular concepts of equivalent values of elastic stiffness and viscous damping State-space equations of motion have been presented in the modal space A non-proportional proportional distribution of viscoelastic components has been considered, in so removing the most severe limitation of previous formulations A cascade scheme has been derived by decoupling in each time step traditional state variables and additional internal variables Joint use of modal analysis and improved cascade scheme lead to reduced size of the problem and low the computational effort Future investigations Nonlinear effects through a convenient reanalysis technique Semi-active control with the help of MR braces in series with VE dampers

Editor's Notes

  1. vertice= vertex