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Complex Modulus Characterization of Asphalt Concr ete      105


                        •  Engineering behavioral characteristics of the material can cause the response
                           curve to deviate from one which mirrors the forcing function. Characteristics
                           that are important in causing these deviations include anisotropy (transversely
                           isotropic and orthotropic degrees of anisotropy are particularly relevant to
                           asphalt which has been compacted in the field or in a gyratory compactor), and
                           what are sometimes referred to as bimodular properties.
                       An additional response occurs if there are phenomena such as damage or strain
                    softening embedded in the creep response. If, in each cycle of loading, the stress
                    changes from compression to either extension or tension, an additional response
                    called the Bauschinger effect (Chen and Han 1988) arises from plasticity theory. Since it
                    is relatively unimportant to differentiate between strain softening and the Bauschinger
                    effect, a single plasticity/damage response is the final component of a generalized
                    strain response curve in which plasticity/damage effects may cause changes in
                    response amplitude over time.

                    Studied Analysis Techniques
                    The three studied data filtering methods were (1) no filtering, (2) Spencer’s 15 point, and
                    (3) regression; the two-phase referencing methods were (1) peak picking and (2) central
                    waveform bracketing. These produced seven combinations of analyzed methods. Methods
                    A and B deviate only in how the phase angle is obtained, as do methods E and F:
                        •  Method A: Spencer’s 15-point data filtering and central waveform bracketing
                        •  Method B: Spencer’s 15-point data filtering and peak picking
                        •  Method C: Second-order polynomial over 25% of data and peak picking
                        •  Method D: Second-order polynomial over 10% of data and peak picking
                        •  Method E: No filtering and central waveform bracketing
                        •  Method F: No filtering and peak picking
                        •  Method G: Sinusoidal over 100% of data and regression coefficients
                       Figure 4-11(a) shows an example of the filtering and phase referencing for methods
                    C and D. These methods were used in the UMd testing program (Mirza and Witczak





















               FIGURE 4-11  Example of (a) method C and (b) method A.
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