Page 161 - MODELING OF ASPHALT CONCRETE
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CHAPTER 6






                                                           Interrelationships


                                               among Asphalt Concrete



                                                                        Stiffnesses





                    Ghassan R. Chehab and Y. Richard Kim






               Abstract
                    The chapter discusses the three major response functions used for characterizing the
                    linear viscoelastic behavior of asphalt concrete mixtures. Definitions and analytical
                    representations of those functions: creep compliance, relaxation modulus, and complex
                    modulus, are presented. Methods for the determination of the functions’ analytical
                    parameters through experimental tests are introduced. Additionally, numerical and
                    analytical interconversion techniques to determine one LVE response function from the
                    other are also presented and compared. Numerical examples and plots are included to
                    supplement the methodologies presented.


               Introduction
                    Asphalt concrete exhibits time/rate dependence, where the material response is not
                    only a function of the current input, but also of the current and past input history. When
                    the loading conditions do not cause damage to the asphalt mixture, the response could
                    be defined as linear viscoelastic and expressed through the convolution (hereditary)
                    integral. While viscoelasticity is typically associated with a system’s time-dependent
                    response, linearity is associated with systems where the conditions of homogeneity and
                    superposition are satisfied:
                                           Homogeneity: R {AI} = A R {I}                 (6-1)
                                        Superposition: R {I  + I } = R {I } + R {I }     (6-2)
                                                        1  2     1     2
                    where  I, I , I  = input histories
                            1  2
                              R = response
                              A = arbitrary constant

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