The settlement of subgrade is one of the dominant diseases of road engineering in soft soil areas. The settlement prediction of soft soil subgrade is beneficial to improve the level of prevention and treatment of road engineering diseases in soft soil areas. This paper takes the settlement data of highway subgrade in a soft soil area, which is located at Yunnan Province, as the research object. The grey GM (1, 1) model of roadbed settlement is established, and the sinusoidal residual error corrects the calculation model. It is shown that the model has high accuracy by comparing the predicted data with the monitored data. The model can be applied to the settlement prediction of highway subgrade in soft soil area. It can provide the necessary theoretical basis for road maintenance and management, and ultimately realize the treatment of settlement disease in the highway roadbed.

The stability of the anchor plays an important role in slope engineering, mining engineering and construction engineering. Based on the Fiber Bragg Grating (FBG) sensor detection technology, this paper carries out the pulling out the test of the anchor with different tensile strengths. The results show that the center wavelength of the FBG has a good mathematical relationship with its axial strain, and the wavelength change data can be processed into the strain result of the FBG sensor to characterize the strain deformation and stability of the anchor further. What’s more, the measured data from the FBG sensor agrees with the load of the test, and the accuracy of the FBG sensor monitoring data on the anchor is varified.