瀝青混合料黏彈性表征及細(xì)觀力學(xué)預(yù)測(cè)
[Abstract]:Asphalt mixture is a typical particle-filled composite material. Under most wheel loads, it produces very small strain and can be assumed to be a linear viscoelastic material in engineering. Based on this assumption, the Mechanics-Empirical Pavement Design Guidelines (MEPDG) 2002 in the United States adopts the Sigmoida_ function for single-axis asphalt mixture. Dynamic modulus (| E * |) principal curve is one of the basic material characterization parameters of asphalt structure layer. The use of dynamic modulus represents the transition of asphalt pavement design from elastic method to viscoelastic method. Modulus can only characterize the frequency and temperature dependence of asphalt mixture, but can not consider its actual mechanical behavior related to loading history. In order to achieve a full sense of viscoelastic asphalt pavement design, it is necessary to systematically study the viscoelastic characterization method of asphalt mixture and the prediction method of meso-mechanical complex modulus (E*). In this paper, the following work has been carried out: (1) Uniaxial small strain complex modulus tests of two kinds of asphalt mixtures at different temperatures and loading frequencies have been carried out. Viscoelastic characterization of asphalt mixtures. The parameters of HN model were determined by direct method and Wicket diagram method respectively, and the fitting results were compared with those calculated by traditional Sigmoidal method in detail. The advantages of HN method were proved. (2) In view of the remarkable computational efficiency of generalized Maxwell model and generalized Voigt model, HN model was constructed. Based on the complex modulus principal curve and the characteristics of asphalt mixture test data, a unified algorithm for determining the viscoelastic discrete time spectrum and continuous time spectrum is presented. The results show that both methods can accurately characterize the linear viscoelastic behavior of asphalt mixture in time domain and frequency domain. Considering the effect of confining pressure on the complex modulus and time-temperature of asphalt mixture under triaxial stress, this paper also discusses how to convert the continuous time spectrum into the corresponding discrete time spectrum conveniently and gives a calculation method for determining the reduced principal curve. Based on the derived HN continuous relaxation spectrum model and an existing equilibrium modulus model, a tri-axial HN complex modulus model with confining pressure dependence is established. The results show that the tri-axial HN model can not only accurately characterize all components of tri-axial complex modulus in frequency domain, but also conveniently transform them. In addition, considering the importance of the rheological properties of asphalt binder (or mortar) for predicting the performance of asphalt mixtures, a unified rapid combination of bending beam rheometer (BBR) and dynamic shear rheometer (DSR) was established. The linear viscoelastic information method of rheological test in two different temperature zones and different loading modes is used to realize the viscoelastic characterization of materials in the range of service temperature and loading frequency. (5) Finally, the influence of aggregate interlocking reinforcement effect on the principal curves of complex modulus components of asphalt mixture is analyzed in detail, and the transmission is expounded. Based on the shortcomings of traditional meso-mechanics methods in predicting the complex modulus of asphalt mixture, a method considering aggregate interlocking effect in traditional meso-mechanics complex modulus prediction model of asphalt mixture is established. The results show that this method can effectively overcome the bias of traditional models under high temperature and low frequency loading conditions. In addition, the proposed method retains the advantages of simplicity and practicality of the traditional meso-mechanical model because it does not change the geometric structure of any original model.
【學(xué)位授予單位】:大連理工大學(xué)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2017
【分類(lèi)號(hào)】:U414
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