Abstract:

With the development of the global warming and human activities, the geology along the Qinghai-Tibet highway in permafrost regions appeared new changes. In order to inspect the influences of the changes on the stability of roadbed and take a long-term monitoring system study of early warning on roadbed diseases, the fuzzy math theory was introduced. In the warning system, some key factors including the annual average ground temperature, frozen soil type (ice content), the change of permafrost table, and drainage condition of the roadbed and the method of special adjustment were selected. Then linguistic variables and fuzzy membership function for describing the diseases and their intensity were installed. At last, 37 items of the logic rules for describing influencing factors of the diseases and their relationship with the disease intensity were put forward, combining the disease investigations and experience from experts. Matlab Fuzzy Logic Toolbox was adopted for building the early warning system on roadbed diseases of Qinghai-Tibet highway in permafrost regions.

Key words: Qinghai-Tibet highway, permafrost, roadbed diseases, fuzzy inference, early warning system