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Differences in fatigue behavior among Gussasphalt, SMA and AC under different strain levels were studied by means of the four-point flexural fatigue test under strain-controlled mode. The results showed: Compared with SMA and AC, GA is qualified with higher bending stiffness modulus and excellent in load dispersibility and bending deflection resistance, thus its deformation resistance and stress dispersibility are more excellent in all conditions. The analyses based on viscoelasticity showed: Initial and fatigued lag angles of Gussasphalt are bigger than SMA and AC, and the viscoelasticity is more obvious when loading. Besides, the bigger lag angles, the better fatigue resistance.

Mixed exponential distribution is a very important statistical model in life data analysis. In this paper, we give Bayesian estimations of mixed exponential distribution with Type-Ⅰ censored data by using conjugate prior distribution based on square loss function. And we prove that the Bayesian estimations are admissible.

Near-infrared (NIR) spectroscopy combined with chemometrics methods has been investigated to discriminate type of honey. 147 NIR spectra of six floral origins of honey samples were collected within 4000~10000cm-1 spectral region. Spectral data were compressed using partial least squares (PLS). Back propagation neural networks (BPNN) models were constructed to distinguish the type of honey. Six spectral data pretreatments including first derivative, first derivatives followed by mean centering(MC), second derivatives, Savitzky-Golay smoothing, standard normal variate transformation (SNV) and multiplicative scattering correction (MSC) were compared to establish the optimal models for honey discrimination. Savitzky-Golay smoothing proved more effective than the other data pretreatments. BPNN models were developed within the full spectral region, 5303～6591cm-1 and 7012～10001cm-1, respectively. Results have shown that the highest(100%) classification rate was achieved within 5303～6591cm-1 wave range. Our results indicated that NIR spectroscopy with chemometrics techniques can be applied to classify rapidly honeys of different floral origin.

According to the disadvantages of the effects that base isolation was limited to high frequency components of seismic wave, smart base isolation system consisting of rolling isolation bearing and magnetorheological damper was applied to structural vibration control. Based on magnetorheological damper employing a Sigmoid model, a semi-acive fuzzy control strategy suitable for smart base isolation was presented. Simulation analysis was carried out to a two-story steel frame structure employing smart base isolation in the action of different kinds and magnitudes of earthquake wave. The results show that smart base isolation system is reliable and effective, and seismic response can be controlled effectively by semi-active fuzzy strategy.