Disease Analysis And Structural Design Parameters Studies Of Semi-rigid Base Asphalt Concrete Pavement

With the sustained and rapid development of national economy and the constant progress of science and technology, China’s high-grade pavement, especially asphalt concrete pavement, is more widely applied. And semi-rigid base asphalt concrete pavement is mainly used in the high-grade highways of China, for semi-rigid base pavement has a high compressive strength, resistance to resilient modulus and flexural strength. Thus, the deflection of semi-rigid base asphalt concrete pavement is rather smaller, and has a strong load distribution capability. But there exist many diseases of semi-rigid asphalt pavement such as reflective cracking, rutting, water damage, particularly, the reflective cracking is a main problem for China’s high-grade highways.The present thesis analyzes the main forms of domestic and foreign high-grade pavement structures, carries out a detailed survey and research on the types and causes of pavement diseases, and introduces the measures to treatment of semi-rigid asphalt pavement diseases at home and abroad. Based on this, the main purpose of the thesis is put forward, that is through optimizing the design parameters to improve the measures of prevention and treatment of semi-rigid base pavement diseases.Asphalt pavement design of China has two main control targets, namely, the values of pavement deflection and tensile stress in each structural layer. This thesis applies pavement design software BISAR3.0to calculate deflection value and tensile stress in each structural layer, and distinguishes the influence of each design parameter on control targets via orthogonal test, to further determine a reasonable range of design parameters. Besides, the thesis calculates the structural response of the design pavement under the joint load of four wheels, through using numerical simulation of finite element software ADINA and FORTRAN programming language. Finally, the calculation results and the design indicators are analyzed comparatively in order to optimize the design parameters.