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

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    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
    2. a.palmeri@lboro.ac.uk
    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
    4. Motivation of this study
      1.
    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!)
    13. LINEAR viscoelastic SOLIDS
      2.
    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
    20. Relaxation function(time domain)
      j(t)
      temperature
    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. Linear viscoelastic solids
      • The Generalized Maxwell’s model is made of an elastic spring in parallel with  Maxwell’s rheological elements
      • The relaxation function is the superposition of  exponential functions having different relaxation times ti
      The time variation of the i-th internal variable is given by
    26. 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
    27. 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
      • Both GM model and LPA technique enable one to accurately represent the constitutive law for linear viscoelastic solids
    28. State-Space equations of motion
      3.
    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
    42. Validation:EFFICIENCY
      5.1
    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
    48. Validation:Versatility
      5.2
    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
    55. Concluding remarks
      6
    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
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