Abstract
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.
Published Version
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More From: IOP Conference Series: Materials Science and Engineering
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