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沥青路面结构可靠性分析及其有限元模拟毕业论文
Abstract
The design quality of asphalt pavement has improved greatly, for its design method
has been changed to probability method from definite method. But the choose of design
parameter in criterion is also on definite theory, so the different of action condition
between designed pavement structure and virtual pavement structure is greater, because
many random factors affect virtual pavement structure.
Function of deflection control index is established. Random perturbation theory and
reliability theory are used to analyze the effect of random parameters to asphalt pavement
structure reliability index, considering mutual independent random variables. These
random parameters, which fluctuate around their means value, are traffic parameter,
structural parameter and geometric parameter. The more sensitive correlation coefficients
are found out at correlation condition in general stochastic space. At last, asphalt pavement
structure reliability index can be computed by using self-programming, in which the Monte
Carlo method and ANSYS software are both applied.
Results are as follows:
1. The sensitivity of asphalt pavement structure reliability index to load, roadbase
thickness ,thickness of surface and foundation elastic modulus is greater under normal
temperature condition. The sensitivity to temperature is greatest under the high temperature
condition.
2. The effect of correlation coefficient, which is among elastic modulus of surface ,
roadbase elastic modulus and foundation elastic modulus, to reliability index is greater
than other parameters’. Result shows that some correlation should not be ignored in the
analysis of pavement structure reliability.
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