| Type of Document |
Master's Thesis |
| Author |
Bryant, Jr., James William
|
| Author's Email Address |
jabryan2@vt.edu |
| URN |
etd-041499-233023 |
| Title |
Prediction of Linear Viscoelastic Response of the Loss Shear Modulus of Polymer-Modified Binders
|
| Degree |
Master of Science |
| Department |
Civil Engineering |
| Advisory Committee |
| Advisor Name |
Title |
| Al-Qadi, Imadeddin L. |
Committee Chair |
| Flintsch, Gerardo W. |
Committee Member |
| Triani, Toni |
Committee Member |
|
| Keywords |
- polymer modified asphalt
- viscoelasticity
- shear modulus
|
| Date of Defense |
1999-03-19 |
| Availability |
unrestricted |
Abstract
Current mathematical models, developed on straight asphalt binders, are inadequate to characterize the frequency dependence of response of polymer-modified asphalt binders. In an earlier study at Virginia Tech, mathematical models were developed to predict the storage and loss shear moduli of polymer-modified binders. However the model developed for the loss shear moduli is limited at high frequency (G" less than or equal to 10^7.5 Pa). This thesis presents a statistical modeling of loss shear modulus of polymer (random copolymers and thermoplastic block copolymers) modified binder. Data from dynamic mechanical analysis on modified binders, at temperatures between 5 and 75°C and frequencies ranging from 0.06 to 0188.5 rad/s, were reduced to dynamic master curves of moduli, and used to develop the model. Twenty-one polymer-binder blends prepared and tested earlier at Virginia Tech where included in the study. Realistic characterization of loss shear moduli values was obtained using the Gompertz statistical model. The model was validated by using mean square error of prediction (MSEP) in which a second set of frequency data was input in the model to obtain the moduli values, which were compared to the measured data of the second set. Although this model was successfully tested for shear loss modulus prediction of polymer-modified binders, caution should be exercised when it is applied, as such a model should be able to predict the storage modulus for a known phase angle.
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| Files |
| Filename |
Size |
Approximate Download Time
(Hours:Minutes:Seconds)
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56K Modem |
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1ETD.PDF |
2.65 Mb |
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